From 2736b001d02fc06b3747710986bba25514def3f4 Mon Sep 17 00:00:00 2001 From: uybhatti Date: Fri, 3 Mar 2017 23:55:22 +0100 Subject: [PATCH 1/2] [FLINK-2170] [connectors] Add OrcRowInputFormat and OrcTableSource. --- flink-connectors/flink-orc/pom.xml | 152 + .../org/apache/flink/orc/OrcTableSource.java | 128 + .../java/org/apache/flink/orc/OrcUtils.java | 2229 ++++ .../apache/flink/orc/RowOrcInputFormat.java | 241 + .../flink/orc/OrcTableSourceITCase.java | 142 + .../apache/flink/orc/OrcTableSourceTest.java | 113 + .../flink/orc/RowOrcInputFormatTest.java | 472 + .../test/resources/TestOrcFile.emptyFile.orc | Bin 0 -> 523 bytes .../TestOrcFile.listliststructlong.orc | Bin 0 -> 845 bytes .../test/resources/TestOrcFile.listlong.orc | Bin 0 -> 627 bytes .../test/resources/TestOrcFile.liststring.orc | Bin 0 -> 1298 bytes .../src/test/resources/TestOrcFile.test1.orc | Bin 0 -> 1711 bytes .../resources/TestOrcFile.testDate1900.dat | 10000 ++++++++++++++++ .../resources/TestOrcFile.testDate1900.orc | Bin 0 -> 30941 bytes .../flink-orc/src/test/resources/decimal.dat | 6000 ++++++++++ .../flink-orc/src/test/resources/decimal.orc | Bin 0 -> 16337 bytes .../src/test/resources/demo-11-none.orc | Bin 0 -> 5147970 bytes .../src/test/resources/log4j-test.properties | 27 + flink-connectors/pom.xml | 1 + 19 files changed, 19505 insertions(+) create mode 100644 flink-connectors/flink-orc/pom.xml create mode 100644 flink-connectors/flink-orc/src/main/java/org/apache/flink/orc/OrcTableSource.java create mode 100644 flink-connectors/flink-orc/src/main/java/org/apache/flink/orc/OrcUtils.java create mode 100644 flink-connectors/flink-orc/src/main/java/org/apache/flink/orc/RowOrcInputFormat.java create mode 100644 flink-connectors/flink-orc/src/test/java/org/apache/flink/orc/OrcTableSourceITCase.java create mode 100644 flink-connectors/flink-orc/src/test/java/org/apache/flink/orc/OrcTableSourceTest.java create mode 100644 flink-connectors/flink-orc/src/test/java/org/apache/flink/orc/RowOrcInputFormatTest.java create mode 100644 flink-connectors/flink-orc/src/test/resources/TestOrcFile.emptyFile.orc create mode 100644 flink-connectors/flink-orc/src/test/resources/TestOrcFile.listliststructlong.orc create mode 100644 flink-connectors/flink-orc/src/test/resources/TestOrcFile.listlong.orc create mode 100644 flink-connectors/flink-orc/src/test/resources/TestOrcFile.liststring.orc create mode 100644 flink-connectors/flink-orc/src/test/resources/TestOrcFile.test1.orc create mode 100644 flink-connectors/flink-orc/src/test/resources/TestOrcFile.testDate1900.dat create mode 100644 flink-connectors/flink-orc/src/test/resources/TestOrcFile.testDate1900.orc create mode 100644 flink-connectors/flink-orc/src/test/resources/decimal.dat create mode 100644 flink-connectors/flink-orc/src/test/resources/decimal.orc create mode 100644 flink-connectors/flink-orc/src/test/resources/demo-11-none.orc create mode 100644 flink-connectors/flink-orc/src/test/resources/log4j-test.properties diff --git a/flink-connectors/flink-orc/pom.xml b/flink-connectors/flink-orc/pom.xml new file mode 100644 index 0000000000000..1ac7eaa7a9f2f --- /dev/null +++ b/flink-connectors/flink-orc/pom.xml @@ -0,0 +1,152 @@ + + + + + 4.0.0 + + + org.apache.flink + flink-connectors + 1.4-SNAPSHOT + .. + + + flink-orc_${scala.binary.version} + flink-orc + + jar + + + + + + + org.apache.flink + flink-table_${scala.binary.version} + ${project.version} + compile + + + + org.apache.flink + flink-streaming-scala_${scala.binary.version} + ${project.version} + compile + + + + org.apache.orc + orc-core + 1.4.0 + + + + + + org.apache.flink + flink-test-utils-junit + ${project.version} + test + + + + org.apache.flink + flink-test-utils_${scala.binary.version} + ${project.version} + test + + + + org.apache.flink + flink-clients_${scala.binary.version} + ${project.version} + test + + + + org.apache.flink + flink-core + ${project.version} + test + test-jar + + + + + + + + + + org.eclipse.m2e + lifecycle-mapping + 1.0.0 + + + + + + org.apache.maven.plugins + maven-assembly-plugin + [2.4,) + + single + + + + + + + + + org.apache.maven.plugins + maven-clean-plugin + [1,) + + clean + + + + + + + + + org.apache.avro + avro-maven-plugin + [1.7.7,) + + schema + + + + + + + + + + + + + + + diff --git a/flink-connectors/flink-orc/src/main/java/org/apache/flink/orc/OrcTableSource.java b/flink-connectors/flink-orc/src/main/java/org/apache/flink/orc/OrcTableSource.java new file mode 100644 index 0000000000000..0454ba45af16a --- /dev/null +++ b/flink-connectors/flink-orc/src/main/java/org/apache/flink/orc/OrcTableSource.java @@ -0,0 +1,128 @@ +/* + * Licensed to the Apache Software Foundation (ASF) under one + * or more contributor license agreements. See the NOTICE file + * distributed with this work for additional information + * regarding copyright ownership. The ASF licenses this file + * to you under the Apache License, Version 2.0 (the + * "License"); you may not use this file except in compliance + * with the License. You may obtain a copy of the License at + * + * http://www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an "AS IS" BASIS, + * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + */ + +package org.apache.flink.orc; + +import org.apache.flink.api.common.typeinfo.TypeInformation; +import org.apache.flink.api.java.DataSet; +import org.apache.flink.api.java.ExecutionEnvironment; +import org.apache.flink.api.java.typeutils.RowTypeInfo; +import org.apache.flink.table.sources.BatchTableSource; +import org.apache.flink.table.sources.ProjectableTableSource; +import org.apache.flink.table.sources.TableSource; +import org.apache.flink.types.Row; + +import org.apache.hadoop.conf.Configuration; +import org.apache.orc.TypeDescription; + +/** + * Creates a TableSource to read ORC file. + * + *

The ORC file path and schema is passed during {@link OrcTableSource} construction. configuration is optional. + * + *

The OrcTableSource is used as shown in the example below. + * + * 

+ * {@code
+ * String path = testInputURL.getPath();
+ * String schema = "struct"
+ * OrcTableSource orcSrc = new OrcTableSource(path, schema);
+ * tEnv.registerTableSource("orcTable", orcSrc);
+ * Table res = tableEnv.sql("SELECT * FROM orcTable");
+ * }
+ *
+ */ +public class OrcTableSource implements BatchTableSource, ProjectableTableSource { + + private String path; + private TypeDescription orcSchema; + private RowTypeInfo typeInfo; + private Configuration orcConfig; + private int[] fieldMapping; + + /** + * The ORC file path and schema. + * + * @param path the path of orc file + * @param orcSchema schema of orc file + */ + public OrcTableSource(String path, String orcSchema) { + this(path, orcSchema, new Configuration()); + } + + /** + * The file path and schema of orc file, and configuration to read orc file . + * + * @param path the path of orc file + * @param orcSchema schema of orc file + * @param orcConfig configuration to read orc file + */ + public OrcTableSource(String path, String orcSchema, Configuration orcConfig) { + this(path, TypeDescription.fromString(orcSchema), orcConfig); + } + + public OrcTableSource(String path, TypeDescription orcSchema, Configuration orcConfig) { + this.path = path; + this.orcSchema = orcSchema; + this.orcConfig = orcConfig; + + this.typeInfo = (RowTypeInfo) OrcUtils.schemaToTypeInfo(this.orcSchema); + + } + + @Override + public DataSet getDataSet(ExecutionEnvironment execEnv) { + + RowOrcInputFormat orcIF = new RowOrcInputFormat(path, orcSchema, orcConfig); + if (fieldMapping != null) { + orcIF.setFieldMapping(fieldMapping); + } + return execEnv.createInput(orcIF); + } + + @Override + public TypeInformation getReturnType() { + return typeInfo; + } + + @Override + public TableSource projectFields(int[] fields) { + + OrcTableSource copy = new OrcTableSource(path, orcSchema, orcConfig); + + // set field mapping + copy.fieldMapping = fields; + + // adapt TypeInfo + TypeInformation[] fieldTypes = new TypeInformation[fields.length]; + String[] fieldNames = new String[fields.length]; + for (int i = 0; i < fields.length; i++) { + fieldTypes[i] = this.typeInfo.getTypeAt(fields[i]); + fieldNames[i] = this.typeInfo.getFieldNames()[fields[i]]; + } + copy.typeInfo = new RowTypeInfo(fieldTypes, fieldNames); + + return copy; + } + + @Override + public String explainSource() { + return "ORC Source file at path " + this.path + " with schema " + this.orcSchema; + } + +} diff --git a/flink-connectors/flink-orc/src/main/java/org/apache/flink/orc/OrcUtils.java b/flink-connectors/flink-orc/src/main/java/org/apache/flink/orc/OrcUtils.java new file mode 100644 index 0000000000000..c7557c7477be1 --- /dev/null +++ b/flink-connectors/flink-orc/src/main/java/org/apache/flink/orc/OrcUtils.java @@ -0,0 +1,2229 @@ +/* + * Licensed to the Apache Software Foundation (ASF) under one + * or more contributor license agreements. See the NOTICE file + * distributed with this work for additional information + * regarding copyright ownership. The ASF licenses this file + * to you under the Apache License, Version 2.0 (the + * "License"); you may not use this file except in compliance + * with the License. You may obtain a copy of the License at + * + * http://www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an "AS IS" BASIS, + * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + */ + +package org.apache.flink.orc; + +import org.apache.flink.api.common.typeinfo.BasicTypeInfo; +import org.apache.flink.api.common.typeinfo.PrimitiveArrayTypeInfo; +import org.apache.flink.api.common.typeinfo.SqlTimeTypeInfo; +import org.apache.flink.api.common.typeinfo.TypeInformation; +import org.apache.flink.api.java.typeutils.MapTypeInfo; +import org.apache.flink.api.java.typeutils.ObjectArrayTypeInfo; +import org.apache.flink.api.java.typeutils.RowTypeInfo; +import org.apache.flink.types.Row; + +import org.apache.hadoop.hive.common.type.HiveDecimal; +import org.apache.hadoop.hive.ql.exec.vector.BytesColumnVector; +import org.apache.hadoop.hive.ql.exec.vector.ColumnVector; +import org.apache.hadoop.hive.ql.exec.vector.DecimalColumnVector; +import org.apache.hadoop.hive.ql.exec.vector.DoubleColumnVector; +import org.apache.hadoop.hive.ql.exec.vector.ListColumnVector; +import org.apache.hadoop.hive.ql.exec.vector.LongColumnVector; +import org.apache.hadoop.hive.ql.exec.vector.MapColumnVector; +import org.apache.hadoop.hive.ql.exec.vector.StructColumnVector; +import org.apache.hadoop.hive.ql.exec.vector.TimestampColumnVector; +import org.apache.hadoop.hive.ql.exec.vector.VectorizedRowBatch; +import org.apache.hadoop.hive.serde2.io.HiveDecimalWritable; + +import org.apache.orc.TypeDescription; + +import java.lang.reflect.Array; +import java.math.BigDecimal; +import java.sql.Date; +import java.sql.Timestamp; +import java.util.Arrays; +import java.util.HashMap; +import java.util.List; + +/** + * A class that provides utility methods for orc file reading. + */ +public class OrcUtils { + + /** + * Convert ORC schema types to Flink types. + * + * @param schema schema of orc file + * + */ + public static TypeInformation schemaToTypeInfo(TypeDescription schema) { + switch (schema.getCategory()) { + case BOOLEAN: + return BasicTypeInfo.BOOLEAN_TYPE_INFO; + case BYTE: + return BasicTypeInfo.BYTE_TYPE_INFO; + case SHORT: + return BasicTypeInfo.SHORT_TYPE_INFO; + case INT: + return BasicTypeInfo.INT_TYPE_INFO; + case LONG: + return BasicTypeInfo.LONG_TYPE_INFO; + case FLOAT: + return BasicTypeInfo.FLOAT_TYPE_INFO; + case DOUBLE: + return BasicTypeInfo.DOUBLE_TYPE_INFO; + case STRING: + case CHAR: + case VARCHAR: + return BasicTypeInfo.STRING_TYPE_INFO; + case DATE: + return SqlTimeTypeInfo.DATE; + case TIMESTAMP: + return SqlTimeTypeInfo.TIMESTAMP; + case BINARY: + return PrimitiveArrayTypeInfo.BYTE_PRIMITIVE_ARRAY_TYPE_INFO; + case STRUCT: + List fieldSchemas = schema.getChildren(); + TypeInformation[] fieldTypes = new TypeInformation[fieldSchemas.size()]; + for (int i = 0; i < fieldSchemas.size(); i++) { + fieldTypes[i] = schemaToTypeInfo(fieldSchemas.get(i)); + } + String[] fieldNames = schema.getFieldNames().toArray(new String[]{}); + return new RowTypeInfo(fieldTypes, fieldNames); + case LIST: + TypeDescription elementSchema = schema.getChildren().get(0); + TypeInformation elementType = schemaToTypeInfo(elementSchema); + return ObjectArrayTypeInfo.getInfoFor(elementType); + case MAP: + TypeDescription keySchema = schema.getChildren().get(0); + TypeDescription valSchema = schema.getChildren().get(1); + TypeInformation keyType = schemaToTypeInfo(keySchema); + TypeInformation valType = schemaToTypeInfo(valSchema); + return new MapTypeInfo(keyType, valType); + case DECIMAL: + return BasicTypeInfo.BIG_DEC_TYPE_INFO; + case UNION: + throw new UnsupportedOperationException("UNION type not supported yet."); + default: + throw new IllegalArgumentException("Unknown type " + schema); + } + } + + /** + * Fill rows from orc batch. + * + * @param rows the batch of rows need to be filled + * @param schema schema of orc file + * @param batch current orc batch data used to fill the rows + * @param fieldMapping field mapping + * + */ + public static void fillRows(Object[] rows, TypeDescription schema, VectorizedRowBatch batch, int[] fieldMapping) { + + int totalRowsInBatch = (int) batch.count(); + + List fieldTypes = schema.getChildren(); + for (int outIdx = 0; outIdx < fieldMapping.length; outIdx++) { + int inIdx = fieldMapping[outIdx]; + readField(rows, outIdx, fieldTypes.get(inIdx), batch.cols[inIdx], null, Math.min((int) totalRowsInBatch, rows.length)); + } + } + + private static void readField(Object[] rows, int fieldIdx, TypeDescription schema, ColumnVector vector, long[] lengthVector, int childCount) { + + switch (schema.getCategory()) { + case BOOLEAN: + if (vector.noNulls) { + readNonNullBooleanColumn(rows, fieldIdx, (LongColumnVector) vector, lengthVector, childCount); + } else { + readBooleanColumn(rows, fieldIdx, (LongColumnVector) vector, lengthVector, childCount); + } + break; + case BYTE: + if (vector.noNulls) { + readNonNullByteColumn(rows, fieldIdx, (LongColumnVector) vector, lengthVector, childCount); + } else { + readByteColumn(rows, fieldIdx, (LongColumnVector) vector, lengthVector, childCount); + } + break; + case SHORT: + if (vector.noNulls) { + readNonNullShortColumn(rows, fieldIdx, (LongColumnVector) vector, lengthVector, childCount); + } else { + readShortColumn(rows, fieldIdx, (LongColumnVector) vector, lengthVector, childCount); + } + break; + case INT: + if (vector.noNulls) { + readNonNullIntColumn(rows, fieldIdx, (LongColumnVector) vector, lengthVector, childCount); + } else { + readIntColumn(rows, fieldIdx, (LongColumnVector) vector, lengthVector, childCount); + } + break; + case LONG: + if (vector.noNulls) { + readNonNullLongColumn(rows, fieldIdx, (LongColumnVector) vector, lengthVector, childCount); + } else { + readLongColumn(rows, fieldIdx, (LongColumnVector) vector, lengthVector, childCount); + } + break; + case FLOAT: + if (vector.noNulls) { + readNonNullFloatColumn(rows, fieldIdx, (DoubleColumnVector) vector, lengthVector, childCount); + } else { + readFloatColumn(rows, fieldIdx, (DoubleColumnVector) vector, lengthVector, childCount); + } + break; + case DOUBLE: + if (vector.noNulls) { + readNonNullDoubleColumn(rows, fieldIdx, (DoubleColumnVector) vector, lengthVector, childCount); + } else { + readDoubleColumn(rows, fieldIdx, (DoubleColumnVector) vector, lengthVector, childCount); + } + break; + case CHAR: + case VARCHAR: + case STRING: + if (vector.noNulls) { + readNonNullStringColumn(rows, fieldIdx, (BytesColumnVector) vector, lengthVector, childCount); + } else { + readStringColumn(rows, fieldIdx, (BytesColumnVector) vector, lengthVector, childCount); + } + break; + case DATE: + if (vector.noNulls) { + readNonNullDateColumn(rows, fieldIdx, (LongColumnVector) vector, lengthVector, childCount); + } else { + readDateColumn(rows, fieldIdx, (LongColumnVector) vector, lengthVector, childCount); + } + break; + case TIMESTAMP: + if (vector.noNulls) { + readNonNullTimestampColumn(rows, fieldIdx, (TimestampColumnVector) vector, lengthVector, childCount); + } else { + readTimestampColumn(rows, fieldIdx, (TimestampColumnVector) vector, lengthVector, childCount); + } + break; + case BINARY: + if (vector.noNulls) { + readNonNullBinaryColumn(rows, fieldIdx, (BytesColumnVector) vector, lengthVector, childCount); + } else { + readBinaryColumn(rows, fieldIdx, (BytesColumnVector) vector, lengthVector, childCount); + } + break; + case DECIMAL: + if (vector.noNulls) { + readNonNullDecimalColumn(rows, fieldIdx, (DecimalColumnVector) vector, lengthVector, childCount); + } + else { + readDecimalColumn(rows, fieldIdx, (DecimalColumnVector) vector, lengthVector, childCount); + } + break; + case STRUCT: + if (vector.noNulls) { + readNonNullStructColumn(rows, fieldIdx, (StructColumnVector) vector, schema, lengthVector, childCount); + } else { + readStructColumn(rows, fieldIdx, (StructColumnVector) vector, schema, lengthVector, childCount); + } + break; + case LIST: + if (vector.noNulls) { + readNonNullListColumn(rows, fieldIdx, (ListColumnVector) vector, schema, lengthVector, childCount); + } + else { + readListColumn(rows, fieldIdx, (ListColumnVector) vector, schema, lengthVector, childCount); + } + break; + case MAP: + if (vector.noNulls) { + readNonNullMapColumn(rows, fieldIdx, (MapColumnVector) vector, schema, lengthVector, childCount); + } + else { + readMapColumn(rows, fieldIdx, (MapColumnVector) vector, schema, lengthVector, childCount); + } + break; + case UNION: + throw new UnsupportedOperationException("UNION type not supported yet"); + default: + throw new IllegalArgumentException("Unknown type " + schema); + } + } + + private static void readNonNullBooleanColumn(Object[] rows, int fieldIdx, LongColumnVector vector, long[] lengthVector, int childCount) { + + // check if boolean is directly in a list or not, e.g, array + if (lengthVector == null) { + if (vector.isRepeating) { // fill complete column with first value + boolean repeatingValue = vector.vector[0] != 0; + fillColumnWithRepeatingValue(rows, fieldIdx, repeatingValue, childCount); + } else { + if (fieldIdx == -1) { // set as an object + for (int i = 0; i < childCount; i++) { + rows[i] = vector.vector[i] != 0; + } + } else { // set as a field of Row + for (int i = 0; i < childCount; i++) { + ((Row) rows[i]).setField(fieldIdx, vector.vector[i] != 0); + } + } + } + } else { // in a list + boolean[] temp; + int offset = 0; + if (vector.isRepeating) { // fill complete list with first value + boolean repeatingValue = vector.vector[0] != 0; + if (fieldIdx == -1) { // set list as an object + for (int i = 0; offset < childCount; i++) { + temp = new boolean[(int) lengthVector[i]]; + Arrays.fill(temp, repeatingValue); + rows[i] = temp; + offset += temp.length; + } + } else { // set list as a field of Row + for (int i = 0; offset < childCount; i++) { + temp = new boolean[(int) lengthVector[i]]; + Arrays.fill(temp, repeatingValue); + ((Row) rows[i]).setField(fieldIdx, temp); + offset += temp.length; + } + } + } else { + if (fieldIdx == -1) { // set list as an object + for (int i = 0; offset < childCount; i++) { + temp = new boolean[(int) lengthVector[i]]; + for (int j = 0; j < temp.length; j++) { + temp[j] = vector.vector[offset++] != 0; + } + rows[i] = temp; + } + } else { // set list as a field of Row + for (int i = 0; offset < childCount; i++) { + temp = new boolean[(int) lengthVector[i]]; + for (int j = 0; j < temp.length; j++) { + temp[j] = vector.vector[offset++] != 0; + } + ((Row) rows[i]).setField(fieldIdx, temp); + } + } + } + } + } + + private static void readNonNullByteColumn(Object[] rows, int fieldIdx, LongColumnVector vector, long[] lengthVector, int childCount) { + + // check if byte is directly in a list or not, e.g, array + if (lengthVector == null) { + if (vector.isRepeating) { // fill complete column with first value + byte repeatingValue = (byte) vector.vector[0]; + fillColumnWithRepeatingValue(rows, fieldIdx, repeatingValue, childCount); + } else { + if (fieldIdx == -1) { // set as an object + for (int i = 0; i < childCount; i++) { + rows[i] = (byte) vector.vector[i]; + } + } else { // set as a field of Row + for (int i = 0; i < childCount; i++) { + ((Row) rows[i]).setField(fieldIdx, (byte) vector.vector[i]); + } + } + } + } else { // in a list + byte[] temp; + int offset = 0; + if (vector.isRepeating) { // fill complete list with first value + byte repeatingValue = (byte) vector.vector[0]; + if (fieldIdx == -1) { // set list as an object + for (int i = 0; offset < childCount; i++) { + temp = new byte[(int) lengthVector[i]]; + Arrays.fill(temp, repeatingValue); + rows[i] = temp; + offset += temp.length; + } + } else { // set list as a field of Row + for (int i = 0; offset < childCount; i++) { + temp = new byte[(int) lengthVector[i]]; + Arrays.fill(temp, repeatingValue); + ((Row) rows[i]).setField(fieldIdx, temp); + offset += temp.length; + } + } + } else { + if (fieldIdx == -1) { // set list as an object + for (int i = 0; offset < childCount; i++) { + temp = new byte[(int) lengthVector[i]]; + for (int j = 0; j < temp.length; j++) { + temp[j] = (byte) vector.vector[offset++]; + } + rows[i] = temp; + } + } else { // set list as a field of Row + for (int i = 0; offset < childCount; i++) { + temp = new byte[(int) lengthVector[i]]; + for (int j = 0; j < temp.length; j++) { + temp[j] = (byte) vector.vector[offset++]; + } + ((Row) rows[i]).setField(fieldIdx, temp); + } + } + } + } + } + + private static void readNonNullShortColumn(Object[] rows, int fieldIdx, LongColumnVector vector, long[] lengthVector, int childCount) { + + // check if short is directly in a list or not, e.g, array + if (lengthVector == null) { + if (vector.isRepeating) { // fill complete column with first value + short repeatingValue = (short) vector.vector[0]; + fillColumnWithRepeatingValue(rows, fieldIdx, repeatingValue, childCount); + } else { + if (fieldIdx == -1) { // set as an object + for (int i = 0; i < childCount; i++) { + rows[i] = (short) vector.vector[i]; + } + } else { // set as a field of Row + for (int i = 0; i < childCount; i++) { + ((Row) rows[i]).setField(fieldIdx, (short) vector.vector[i]); + } + } + } + } else { // in a list + short[] temp; + int offset = 0; + if (vector.isRepeating) { // fill complete list with first value + short repeatingValue = (short) vector.vector[0]; + if (fieldIdx == -1) { // set list as an object + for (int i = 0; offset < childCount; i++) { + temp = new short[(int) lengthVector[i]]; + Arrays.fill(temp, repeatingValue); + rows[i] = temp; + offset += temp.length; + } + } else { // set list as a field of Row + for (int i = 0; offset < childCount; i++) { + temp = new short[(int) lengthVector[i]]; + Arrays.fill(temp, repeatingValue); + ((Row) rows[i]).setField(fieldIdx, temp); + offset += temp.length; + } + } + } else { + if (fieldIdx == -1) { // set list as an object + for (int i = 0; offset < childCount; i++) { + temp = new short[(int) lengthVector[i]]; + for (int j = 0; j < temp.length; j++) { + temp[j] = (short) vector.vector[offset++]; + } + rows[i] = temp; + } + } else { // set list as a field of Row + for (int i = 0; offset < childCount; i++) { + temp = new short[(int) lengthVector[i]]; + for (int j = 0; j < temp.length; j++) { + temp[j] = (short) vector.vector[offset++]; + } + ((Row) rows[i]).setField(fieldIdx, temp); + } + } + } + } + } + + private static void readNonNullIntColumn(Object[] rows, int fieldIdx, LongColumnVector vector, long[] lengthVector, int childCount) { + + // check if int is directly in a list or not, e.g, array + if (lengthVector == null) { + if (vector.isRepeating) { // fill complete column with first value + int repeatingValue = (int) vector.vector[0]; + fillColumnWithRepeatingValue(rows, fieldIdx, repeatingValue, childCount); + } else { + if (fieldIdx == -1) { // set as an object + for (int i = 0; i < childCount; i++) { + rows[i] = (int) vector.vector[i]; + } + } else { // set as a field of Row + for (int i = 0; i < childCount; i++) { + ((Row) rows[i]).setField(fieldIdx, (int) vector.vector[i]); + } + } + } + } else { // in a list + int[] temp; + int offset = 0; + if (vector.isRepeating) { // fill complete list with first value + int repeatingValue = (int) vector.vector[0]; + if (fieldIdx == -1) { // set list as an object + for (int i = 0; offset < childCount; i++) { + temp = new int[(int) lengthVector[i]]; + Arrays.fill(temp, repeatingValue); + rows[i] = temp; + offset += temp.length; + } + } else { // set list as a field of Row + for (int i = 0; offset < childCount; i++) { + temp = new int[(int) lengthVector[i]]; + Arrays.fill(temp, repeatingValue); + ((Row) rows[i]).setField(fieldIdx, temp); + offset += temp.length; + } + } + } else { + if (fieldIdx == -1) { // set list as an object + for (int i = 0; offset < childCount; i++) { + temp = new int[(int) lengthVector[i]]; + for (int j = 0; j < temp.length; j++) { + temp[j] = (int) vector.vector[offset++]; + } + rows[i] = temp; + } + } else { // set list as a field of Row + for (int i = 0; offset < childCount; i++) { + temp = new int[(int) lengthVector[i]]; + for (int j = 0; j < temp.length; j++) { + temp[j] = (int) vector.vector[offset++]; + } + ((Row) rows[i]).setField(fieldIdx, temp); + } + } + } + } + } + + private static void readNonNullLongColumn(Object[] rows, int fieldIdx, LongColumnVector vector, long[] lengthVector, int childCount) { + + // check if long is directly in a list or not, e.g, array + if (lengthVector == null) { + if (vector.isRepeating) { // fill complete column with first value + long repeatingValue = vector.vector[0]; + fillColumnWithRepeatingValue(rows, fieldIdx, repeatingValue, childCount); + } else { + if (fieldIdx == -1) { // set as an object + for (int i = 0; i < childCount; i++) { + rows[i] = vector.vector[i]; + } + } else { // set as a field of Row + for (int i = 0; i < childCount; i++) { + ((Row) rows[i]).setField(fieldIdx, (Long) vector.vector[i]); + } + } + } + } else { // in a list + long[] temp; + int offset = 0; + if (vector.isRepeating) { // fill complete list with first value + long repeatingValue = vector.vector[0]; + if (fieldIdx == -1) { // set list as an object + for (int i = 0; offset < childCount; i++) { + temp = new long[(int) lengthVector[i]]; + Arrays.fill(temp, repeatingValue); + rows[i] = temp; + offset += temp.length; + } + } else { // set list as a field of Row + for (int i = 0; offset < childCount; i++) { + temp = new long[(int) lengthVector[i]]; + Arrays.fill(temp, repeatingValue); + ((Row) rows[i]).setField(fieldIdx, temp); + offset += temp.length; + } + } + } else { + if (fieldIdx == -1) { // set list as an object + for (int i = 0; offset < childCount; i++) { + temp = new long[(int) lengthVector[i]]; + for (int j = 0; j < temp.length; j++) { + temp[j] = vector.vector[offset++]; + } + rows[i] = temp; + } + } else { // set list as a field of Row + for (int i = 0; offset < childCount; i++) { + temp = new long[(int) lengthVector[i]]; + for (int j = 0; j < temp.length; j++) { + temp[j] = vector.vector[offset++]; + } + ((Row) rows[i]).setField(fieldIdx, temp); + } + } + } + } + } + + private static void readNonNullFloatColumn(Object[] rows, int fieldIdx, DoubleColumnVector vector, long[] lengthVector, int childCount) { + + // check if float is directly in a list or not, e.g, array + if (lengthVector == null) { + if (vector.isRepeating) { // fill complete column with first value + float repeatingValue = (float) vector.vector[0]; + fillColumnWithRepeatingValue(rows, fieldIdx, repeatingValue, childCount); + } else { + if (fieldIdx == -1) { // set as an object + for (int i = 0; i < childCount; i++) { + rows[i] = (float) vector.vector[i]; + } + } else { // set as a field of Row + for (int i = 0; i < childCount; i++) { + ((Row) rows[i]).setField(fieldIdx, (float) vector.vector[i]); + } + } + } + } else { // in a list + float[] temp; + int offset = 0; + if (vector.isRepeating) { // fill complete list with first value + float repeatingValue = (float) vector.vector[0]; + if (fieldIdx == -1) { // set list as an object + for (int i = 0; offset < childCount; i++) { + temp = new float[(int) lengthVector[i]]; + Arrays.fill(temp, repeatingValue); + rows[i] = temp; + offset += temp.length; + } + } else { // set list as a field of Row + for (int i = 0; offset < childCount; i++) { + temp = new float[(int) lengthVector[i]]; + Arrays.fill(temp, repeatingValue); + ((Row) rows[i]).setField(fieldIdx, temp); + offset += temp.length; + } + } + } else { + if (fieldIdx == -1) { // set list as an object + for (int i = 0; offset < childCount; i++) { + temp = new float[(int) lengthVector[i]]; + for (int j = 0; j < temp.length; j++) { + temp[j] = (float) vector.vector[offset++]; + } + rows[i] = temp; + } + } else { // set list as a field of Row + for (int i = 0; offset < childCount; i++) { + temp = new float[(int) lengthVector[i]]; + for (int j = 0; j < temp.length; j++) { + temp[j] = (float) vector.vector[offset++]; + } + ((Row) rows[i]).setField(fieldIdx, temp); + } + } + } + } + } + + private static void readNonNullDoubleColumn(Object[] rows, int fieldIdx, DoubleColumnVector vector, long[] lengthVector, int childCount) { + + // check if double is directly in a list or not, e.g, array + if (lengthVector == null) { + if (vector.isRepeating) { // fill complete column with first value + double repeatingValue = vector.vector[0]; + fillColumnWithRepeatingValue(rows, fieldIdx, repeatingValue, childCount); + } else { + if (fieldIdx == -1) { // set as an object + for (int i = 0; i < childCount; i++) { + rows[i] = vector.vector[i]; + } + } else { // set as a field of Row + for (int i = 0; i < childCount; i++) { + ((Row) rows[i]).setField(fieldIdx, vector.vector[i]); + } + } + } + } else { // in a list + double[] temp; + int offset = 0; + if (vector.isRepeating) { // fill complete list with first value + double repeatingValue = vector.vector[0]; + if (fieldIdx == -1) { // set list as an object + for (int i = 0; offset < childCount; i++) { + temp = new double[(int) lengthVector[i]]; + Arrays.fill(temp, repeatingValue); + rows[i] = temp; + offset += temp.length; + } + } else { // set list as a field of Row + for (int i = 0; offset < childCount; i++) { + temp = new double[(int) lengthVector[i]]; + Arrays.fill(temp, repeatingValue); + ((Row) rows[i]).setField(fieldIdx, temp); + offset += temp.length; + } + } + } else { + if (fieldIdx == -1) { // set list as an object + for (int i = 0; offset < childCount; i++) { + temp = new double[(int) lengthVector[i]]; + for (int j = 0; j < temp.length; j++) { + temp[j] = vector.vector[offset++]; + } + rows[i] = temp; + } + } else { // set list as a field of Row + for (int i = 0; offset < childCount; i++) { + temp = new double[(int) lengthVector[i]]; + for (int j = 0; j < temp.length; j++) { + temp[j] = vector.vector[offset++]; + } + ((Row) rows[i]).setField(fieldIdx, temp); + } + } + } + } + } + + private static void readNonNullStringColumn(Object[] rows, int fieldIdx, BytesColumnVector bytes, long[] lengthVector, int childCount) { + + // check if string is directly in a list or not, e.g, array + if (lengthVector == null) { + if (bytes.isRepeating) { // fill complete column with first value + String repeatingValue = new String(bytes.vector[0], bytes.start[0], bytes.length[0]); + fillColumnWithRepeatingValue(rows, fieldIdx, repeatingValue, childCount); + } else { + if (fieldIdx == -1) { // set as an object + for (int i = 0; i < childCount; i++) { + rows[i] = new String(bytes.vector[i], bytes.start[i], bytes.length[i]); + } + } else { // set as a field of Row + for (int i = 0; i < childCount; i++) { + ((Row) rows[i]).setField(fieldIdx, new String(bytes.vector[i], bytes.start[i], bytes.length[i])); + } + } + } + } + else { // in a list + String[] temp; + int offset = 0; + if (bytes.isRepeating) { // fill list with first value + String repeatingValue = new String(bytes.vector[0], bytes.start[0], bytes.length[0]); + if (fieldIdx == -1) { // set list as an object + for (int i = 0; i < childCount; i++) { + temp = new String[(int) lengthVector[i]]; + Arrays.fill(temp, repeatingValue); + rows[i] = temp; + offset += temp.length; + } + } else { // set list as a field + for (int i = 0; i < childCount; i++) { + temp = new String[(int) lengthVector[i]]; + Arrays.fill(temp, repeatingValue); + ((Row) rows[i]).setField(fieldIdx, temp); + offset += temp.length; + } + } + } else { + if (fieldIdx == -1) { // set list as an object + for (int i = 0; offset < childCount; i++) { + temp = new String[(int) lengthVector[i]]; + for (int j = 0; j < temp.length; j++) { + temp[j] = new String(bytes.vector[offset], bytes.start[offset], bytes.length[offset]); + offset++; + } + rows[i] = temp; + } + } else { // set list as a field + for (int i = 0; offset < childCount; i++) { + temp = new String[(int) lengthVector[i]]; + for (int j = 0; j < temp.length; j++) { + temp[j] = new String(bytes.vector[offset], bytes.start[offset], bytes.length[offset]); + offset++; + } + ((Row) rows[i]).setField(fieldIdx, temp); + } + } + } + } + + } + + private static void readNonNullDateColumn(Object[] rows, int fieldIdx, LongColumnVector vector, long[] lengthVector, int childCount) { + + // check if date is directly in a list or not, e.g, array + if (lengthVector == null) { + if (vector.isRepeating) { // fill complete column with first value + if (fieldIdx == -1) { // set as an object + for (int i = 0; i < childCount; i++) { + rows[i] = readDate(vector.vector[0]); + } + } else { // set as a field of Row + for (int i = 0; i < childCount; i++) { + ((Row) rows[i]).setField(fieldIdx, readDate(vector.vector[0])); + } + } + } else { + if (fieldIdx == -1) { // set as an object + for (int i = 0; i < childCount; i++) { + rows[i] = readDate(vector.vector[i]); + } + } else { // set as a field of Row + for (int i = 0; i < childCount; i++) { + ((Row) rows[i]).setField(fieldIdx, readDate(vector.vector[i])); + } + } + } + } else { + Date[] temp; + int offset = 0; + if (vector.isRepeating) { // fill complete list with first value + if (fieldIdx == -1) { // set list as an object + for (int i = 0; offset < childCount; i++) { + temp = new Date[(int) lengthVector[i]]; + for (int j = 0; j < temp.length; j++) { + temp[j] = readDate(vector.vector[0]); + } + rows[i] = temp; + offset += temp.length; + } + } else { // set list as a field of Row + for (int i = 0; offset < childCount; i++) { + temp = new Date[(int) lengthVector[i]]; + for (int j = 0; j < temp.length; j++) { + temp[j] = readDate(vector.vector[0]); + } + ((Row) rows[i]).setField(fieldIdx, temp); + offset += temp.length; + } + } + } else { + if (fieldIdx == -1) { // set list as an object + for (int i = 0; offset < childCount; i++) { + temp = new Date[(int) lengthVector[i]]; + for (int j = 0; j < temp.length; j++) { + temp[j] = readDate(vector.vector[offset++]); + } + rows[i] = temp; + } + } else { // set list as a field of Row + for (int i = 0; offset < childCount; i++) { + temp = new Date[(int) lengthVector[i]]; + for (int j = 0; j < temp.length; j++) { + temp[j] = readDate(vector.vector[offset++]); + } + ((Row) rows[i]).setField(fieldIdx, temp); + } + } + } + } + } + + private static void readNonNullTimestampColumn(Object[] rows, int fieldIdx, TimestampColumnVector vector, long[] lengthVector, int childCount) { + + // check if timestamp is directly in a list or not, e.g, array + if (lengthVector == null) { + if (vector.isRepeating) { // fill complete column with first value + if (fieldIdx == -1) { // set as an object + for (int i = 0; i < childCount; i++) { + rows[i] = readTimeStamp(vector.time[0], vector.nanos[0]); + } + } else { // set as a field of Row + for (int i = 0; i < childCount; i++) { + ((Row) rows[i]).setField(fieldIdx, readTimeStamp(vector.time[0], vector.nanos[0])); + } + } + } else { + if (fieldIdx == -1) { // set as an object + for (int i = 0; i < childCount; i++) { + rows[i] = readTimeStamp(vector.time[i], vector.nanos[i]); + } + } else { // set as a field of Row + for (int i = 0; i < childCount; i++) { + ((Row) rows[i]).setField(fieldIdx, readTimeStamp(vector.time[i], vector.nanos[i])); + } + } + } + } else { + Timestamp[] temp; + int offset = 0; + if (vector.isRepeating) { // fill complete list with first value + if (fieldIdx == -1) { // set list as an object + for (int i = 0; offset < childCount; i++) { + temp = new Timestamp[(int) lengthVector[i]]; + for (int j = 0; j < temp.length; j++) { + temp[j] = readTimeStamp(vector.time[0], vector.nanos[0]); + } + rows[i] = temp; + offset += temp.length; + } + } else { // set list as a field of Row + for (int i = 0; offset < childCount; i++) { + temp = new Timestamp[(int) lengthVector[i]]; + for (int j = 0; j < temp.length; j++) { + temp[j] = readTimeStamp(vector.time[0], vector.nanos[0]); + } + ((Row) rows[i]).setField(fieldIdx, temp); + offset += temp.length; + } + } + } else { + if (fieldIdx == -1) { // set list as an object + for (int i = 0; offset < childCount; i++) { + temp = new Timestamp[(int) lengthVector[i]]; + for (int j = 0; j < temp.length; j++) { + temp[j] = readTimeStamp(vector.time[offset], vector.nanos[offset]); + offset++; + } + rows[i] = temp; + } + } else { // set list as a field of Row + for (int i = 0; offset < childCount; i++) { + temp = new Timestamp[(int) lengthVector[i]]; + for (int j = 0; j < temp.length; j++) { + temp[j] = readTimeStamp(vector.time[offset], vector.nanos[offset]); + offset++; + } + ((Row) rows[i]).setField(fieldIdx, temp); + } + } + } + } + } + + private static void readNonNullBinaryColumn(Object[] rows, int fieldIdx, BytesColumnVector bytes, long[] lengthVector, int childCount) { + + // check if string is directly in a list or not, e.g, array + if (lengthVector == null) { + if (bytes.isRepeating) { // fill complete column with first value + if (fieldIdx == -1) { // set as an object + for (int i = 0; i < childCount; i++) { + rows[i] = readBinary(bytes.vector[0], bytes.start[0], bytes.length[0]); + } + } else { // set as a field of Row + for (int i = 0; i < childCount; i++) { + ((Row) rows[i]).setField(fieldIdx, readBinary(bytes.vector[0], bytes.start[0], bytes.length[0])); + } + } + } else { + if (fieldIdx == -1) { // set as an object + for (int i = 0; i < childCount; i++) { + rows[i] = readBinary(bytes.vector[i], bytes.start[i], bytes.length[i]); + } + } else { // set as a field of Row + for (int i = 0; i < childCount; i++) { + ((Row) rows[i]).setField(fieldIdx, readBinary(bytes.vector[i], bytes.start[i], bytes.length[i])); + } + } + } + } else { + byte[][] temp; + int offset = 0; + if (bytes.isRepeating) { // fill complete list with first value + if (fieldIdx == -1) { // set list as an object + for (int i = 0; offset < childCount; i++) { + temp = new byte[(int) lengthVector[i]][]; + for (int j = 0; j < temp.length; j++) { + temp[j] = readBinary(bytes.vector[0], bytes.start[0], bytes.length[0]); + } + rows[i] = temp; + offset += temp.length; + } + } else { // set list as a field + for (int i = 0; offset < childCount; i++) { + temp = new byte[(int) lengthVector[i]][]; + for (int j = 0; j < temp.length; j++) { + temp[j] = readBinary(bytes.vector[0], bytes.start[0], bytes.length[0]); + } + ((Row) rows[i]).setField(fieldIdx, temp); + offset += temp.length; + } + } + } else { + if (fieldIdx == -1) { // set list as an object + for (int i = 0; offset < childCount; i++) { + temp = new byte[(int) lengthVector[i]][]; + for (int j = 0; j < temp.length; j++) { + temp[j] = readBinary(bytes.vector[offset], bytes.start[offset], bytes.length[offset]); + offset++; + } + rows[i] = temp; + } + } else { // set list as a field + for (int i = 0; offset < childCount; i++) { + temp = new byte[(int) lengthVector[i]][]; + for (int j = 0; j < temp.length; j++) { + temp[j] = readBinary(bytes.vector[offset], bytes.start[offset], bytes.length[offset]); + offset++; + } + ((Row) rows[i]).setField(fieldIdx, temp); + } + } + } + } + + } + + private static void readNonNullDecimalColumn(Object[] rows, int fieldIdx, DecimalColumnVector vector, long[] lengthVector, int childCount) { + + // check if decimal is directly in a list or not, e.g, array + if (lengthVector == null) { + if (vector.isRepeating) { // fill complete column with first value + fillColumnWithRepeatingValue(rows, fieldIdx, readBigDecimal(vector.vector[0]), childCount); + } else { + if (fieldIdx == -1) { // set as an object + for (int i = 0; i < childCount; i++) { + rows[i] = readBigDecimal(vector.vector[i]); + } + } else { // set as a field of Row + for (int i = 0; i < childCount; i++) { + ((Row) rows[i]).setField(fieldIdx, readBigDecimal(vector.vector[i])); + } + } + } + } else { + BigDecimal[] temp; + int offset = 0; + if (vector.isRepeating) { // fill complete list with first value + BigDecimal repeatingValue = readBigDecimal(vector.vector[0]); + if (fieldIdx == -1) { // set list as an object + for (int i = 0; offset < childCount; i++) { + temp = new BigDecimal[(int) lengthVector[i]]; + Arrays.fill(temp, repeatingValue); + rows[i] = temp; + offset += temp.length; + } + } else { // set list as a field of Row + for (int i = 0; offset < childCount; i++) { + temp = new BigDecimal[(int) lengthVector[i]]; + Arrays.fill(temp, repeatingValue); + ((Row) rows[i]).setField(fieldIdx, temp); + offset += temp.length; + } + } + } else { + if (fieldIdx == -1) { // set list as an object + for (int i = 0; offset < childCount; i++) { + temp = new BigDecimal[(int) lengthVector[i]]; + for (int j = 0; j < temp.length; j++) { + temp[j] = readBigDecimal(vector.vector[offset++]); + } + rows[i] = temp; + } + } else { // set list as a field of Row + for (int i = 0; offset < childCount; i++) { + temp = new BigDecimal[(int) lengthVector[i]]; + for (int j = 0; j < temp.length; j++) { + temp[j] = readBigDecimal(vector.vector[offset++]); + } + ((Row) rows[i]).setField(fieldIdx, temp); + } + } + } + } + + } + + private static void readNonNullStructColumn(Object[] rows, int fieldIdx, StructColumnVector struct, TypeDescription schema, long[] lengthVector, int childCount) { + + List childrenTypes = schema.getChildren(); + + int numChildren = childrenTypes.size(); + Row[] nestedFields = new Row[childCount]; + for (int i = 0; i < childCount; i++) { + nestedFields[i] = new Row(numChildren); + } + for (int i = 0; i < numChildren; i++) { + readField(nestedFields, i, childrenTypes.get(i), struct.fields[i], null, childCount); + } + + // check if struct is directly in a list or not, e.g, array> + if (lengthVector == null) { + if (fieldIdx == -1) { // set struct as an object + System.arraycopy(nestedFields, 0, rows, 0, childCount); + } + else { // set struct as a field of Row + for (int i = 0; i < childCount; i++) { + ((Row) rows[i]).setField(fieldIdx, nestedFields[i]); + } + } + } + else { // struct in a list + int offset = 0; + Row[] temp; + if (fieldIdx == -1) { // set list of struct as an object + for (int i = 0; offset < childCount; i++) { + temp = new Row[(int) lengthVector[i]]; + System.arraycopy(nestedFields, offset, temp, 0, temp.length); + offset = offset + temp.length; + rows[i] = temp; + } + } + else { // set list of struct as a field of Row + for (int i = 0; offset < childCount; i++) { + temp = new Row[(int) lengthVector[i]]; + System.arraycopy(nestedFields, offset, temp, 0, temp.length); + offset = offset + temp.length; + ((Row) rows[i]).setField(fieldIdx, temp); + } + } + } + } + + private static void readNonNullListColumn(Object[] rows, int fieldIdx, ListColumnVector list, TypeDescription schema, long[] lengthVector, int childCount) { + + TypeDescription fieldType = schema.getChildren().get(0); + if (lengthVector == null) { + long[] lengthVectorNested = list.lengths; + readField(rows, fieldIdx, fieldType, list.child, lengthVectorNested, list.childCount); + } + else { // list in a list + + Object[] nestedList = new Object[childCount]; + + // length vector for nested list + long[] lengthVectorNested = list.lengths; + + // read nested list + readField(nestedList, -1, fieldType, list.child, lengthVectorNested, list.childCount); + + // get type of nestedList + Class classType = nestedList[0].getClass(); + + // fill outer list with nested list + int offset = 0; + int length; + if (fieldIdx == -1) { // set list of list as an object + for (int i = 0; offset < childCount; i++) { + length = (int) lengthVector[i]; + Object temp = Array.newInstance(classType, length); + System.arraycopy(nestedList, offset, temp, 0, length); + offset = offset + length; + rows[i] = temp; + + } + } else { // set list of list as an field on Row + for (int i = 0; offset < childCount; i++) { + length = (int) lengthVector[i]; + Object temp = Array.newInstance(classType, length); + System.arraycopy(nestedList, offset, temp, 0, length); + offset = offset + length; + ((Row) rows[i]).setField(fieldIdx, temp); + } + } + } + + } + + private static void readNonNullMapColumn(Object[] rows, int fieldIdx, MapColumnVector map, TypeDescription schema, long[] lengthVector, int childCount) { + + List fieldType = schema.getChildren(); + TypeDescription keyType = fieldType.get(0); + TypeDescription valueType = fieldType.get(1); + + ColumnVector keys = map.keys; + ColumnVector values = map.values; + Object[] keyRows = new Object[map.childCount]; + Object[] valueRows = new Object[map.childCount]; + + // read map kes and values + readField(keyRows, -1, keyType, keys, null, keyRows.length); + readField(valueRows, -1, valueType, values, null, valueRows.length); + + // check if map is directly in a list or not, e.g, array> + if (lengthVector == null) { + long[] lengthVectorMap = map.lengths; + int offset = 0; + if (fieldIdx == -1) { + for (int i = 0; i < childCount; i++) { + rows[i] = readHashMap(keyRows, valueRows, offset, lengthVectorMap[i]); + offset += lengthVectorMap[i]; + } + } else { + for (int i = 0; i < childCount; i++) { + ((Row) rows[i]).setField(fieldIdx, readHashMap(keyRows, valueRows, offset, lengthVectorMap[i])); + offset += lengthVectorMap[i]; + } + } + } else { // list of map + + long[] lengthVectorMap = map.lengths; + int mapOffset = 0; // offset of map element + int offset = 0; // offset of map + HashMap[] temp; + if (fieldIdx == -1) { // set map list as an object + for (int i = 0; offset < childCount; i++) { + temp = new HashMap[(int) lengthVector[i]]; + for (int j = 0; j < temp.length; j++) { + temp[j] = readHashMap(keyRows, valueRows, mapOffset, lengthVectorMap[offset]); + mapOffset += lengthVectorMap[offset]; + offset++; + } + rows[i] = temp; + } + } else { // set map list as a field of Row + for (int i = 0; offset < childCount; i++) { + temp = new HashMap[(int) lengthVector[i]]; + for (int j = 0; j < temp.length; j++) { + temp[j] = readHashMap(keyRows, valueRows, mapOffset, lengthVectorMap[offset]); + mapOffset += lengthVectorMap[offset]; + offset++; + } + ((Row) rows[i]).setField(fieldIdx, temp); + } + } + } + } + + private static void fillColumnWithRepeatingValue(Object[] rows, int fieldIdx, Object repeatingValue, int childCount) { + + if (fieldIdx == -1) { // set as an object + for (int i = 0; i < childCount; i++) { + rows[i] = repeatingValue; + } + } else { // set as a field of Row + for (int i = 0; i < childCount; i++) { + ((Row) rows[i]).setField(fieldIdx, repeatingValue); + } + } + } + + private static void fillListWithRepeatingNull(Object[] rows, int fieldIdx, Class classType, long[] lengthVector, int childCount) { + + int length; + if (fieldIdx == -1) { + for (int i = 0; i < childCount; i++) { + length = (int) lengthVector[i]; + Object temp = Array.newInstance(classType, length); + rows[i] = temp; + } + } else { + for (int i = 0; i < childCount; i++) { + length = (int) lengthVector[i]; + Object temp = Array.newInstance(classType, length); + ((Row) rows[i]).setField(fieldIdx, temp); + } + } + } + + private static void readBooleanColumn(Object[] rows, int fieldIdx, LongColumnVector vector, long[] lengthVector, int childCount) { + + // check if data type(dt) is directly in list or not, e.g, array
+ if (lengthVector == null) { + if (vector.isRepeating) { // fill complete column with first value + // Also column contains null value and it's repeating + fillColumnWithRepeatingValue(rows, fieldIdx, null, childCount); + } else { + boolean[] isNullVector = vector.isNull; + if (fieldIdx == -1) { // set as an object + for (int i = 0; i < childCount; i++) { + if (isNullVector[i]) { + rows[i] = null; + continue; + } + rows[i] = vector.vector[i] != 0; + } + } else { // set as a field of Row + for (int i = 0; i < childCount; i++) { + if (isNullVector[i]) { + ((Row) rows[i]).setField(fieldIdx, null); + continue; + } + ((Row) rows[i]).setField(fieldIdx, vector.vector[i] != 0); + } + } + } + } else { // in a list + if (vector.isRepeating) { // // fill complete list with first value + // Also column contains null value and it's repeating + // so all values are null, but we need to set list with null values + fillListWithRepeatingNull(rows, fieldIdx, boolean[].class, lengthVector, childCount); + } else { + // column contain null values + int offset = 0; + boolean[] temp; + boolean[] isNullVector = vector.isNull; + if (fieldIdx == -1) { // set list as an object + for (int i = 0; offset < childCount; i++) { + temp = new boolean[(int) lengthVector[i]]; + for (int j = 0; j < temp.length; j++) { + if (isNullVector[offset]) { + offset++; + continue; + } + temp[j] = vector.vector[offset++] != 0; + } + rows[i] = temp; + } + } else { // set list as a field of Row + for (int i = 0; offset < childCount; i++) { + temp = new boolean[(int) lengthVector[i]]; + for (int j = 0; j < temp.length; j++) { + if (isNullVector[offset]) { + offset++; + continue; + } + temp[j] = vector.vector[offset++] != 0; + } + ((Row) rows[i]).setField(fieldIdx, temp); + } + } + } + } + } + + private static void readByteColumn(Object[] rows, int fieldIdx, LongColumnVector vector, long[] lengthVector, int childCount) { + + // check if data type(dt) is directly in list or not, e.g, array
+ if (lengthVector == null) { + if (vector.isRepeating) { // fill complete column with first value + // Also column contains null value and it's repeating + fillColumnWithRepeatingValue(rows, fieldIdx, null, childCount); + } else { + boolean[] isNullVector = vector.isNull; + if (fieldIdx == -1) { // set as an object + for (int i = 0; i < childCount; i++) { + if (isNullVector[i]) { + rows[i] = null; + continue; + } + rows[i] = (byte) vector.vector[i]; + } + } else { // set as a field of Row + for (int i = 0; i < childCount; i++) { + if (isNullVector[i]) { + ((Row) rows[i]).setField(fieldIdx, null); + continue; + } + ((Row) rows[i]).setField(fieldIdx, (byte) vector.vector[i]); + } + } + } + } else { // in a list + if (vector.isRepeating) { // // fill complete list with first value + // Also column contains null value and it's repeating + // so all values are null, but we need to set list with null values + fillListWithRepeatingNull(rows, fieldIdx, byte[].class, lengthVector, childCount); + } else { + // column contain null values + int offset = 0; + byte[] temp; + boolean[] isNullVector = vector.isNull; + if (fieldIdx == -1) { // set list as an object + for (int i = 0; offset < childCount; i++) { + temp = new byte[(int) lengthVector[i]]; + for (int j = 0; j < temp.length; j++) { + if (isNullVector[offset]) { + offset++; + continue; + } + temp[j] = (byte) vector.vector[offset++]; + } + rows[i] = temp; + } + } else { // set list as a field of Row + for (int i = 0; offset < childCount; i++) { + temp = new byte[(int) lengthVector[i]]; + for (int j = 0; j < temp.length; j++) { + if (isNullVector[offset]) { + offset++; + continue; + } + temp[j] = (byte) vector.vector[offset++]; + } + ((Row) rows[i]).setField(fieldIdx, temp); + } + } + } + } + } + + private static void readShortColumn(Object[] rows, int fieldIdx, LongColumnVector vector, long[] lengthVector, int childCount) { + + // check if data type(dt) is directly in list or not, e.g, array
+ if (lengthVector == null) { + if (vector.isRepeating) { // fill complete column with first value + // Also column contains null value and it's repeating + fillColumnWithRepeatingValue(rows, fieldIdx, null, childCount); + } else { + boolean[] isNullVector = vector.isNull; + if (fieldIdx == -1) { // set as an object + for (int i = 0; i < childCount; i++) { + if (isNullVector[i]) { + rows[i] = null; + continue; + } + rows[i] = (short) vector.vector[i]; + } + } else { // set as field of Row + for (int i = 0; i < childCount; i++) { + if (isNullVector[i]) { + ((Row) rows[i]).setField(fieldIdx, null); + continue; + } + ((Row) rows[i]).setField(fieldIdx, (short) vector.vector[i]); + } + } + } + } else { // in a list + if (vector.isRepeating) { // // fill complete list with first value + // Also column contains null value and it's repeating + // so all values are null, but we need to set list with null values + fillListWithRepeatingNull(rows, fieldIdx, short[].class, lengthVector, childCount); + } else { + // column contain null values + int offset = 0; + short[] temp; + boolean[] isNullVector = vector.isNull; + if (fieldIdx == -1) { // set list as an object + for (int i = 0; offset < childCount; i++) { + temp = new short[(int) lengthVector[i]]; + for (int j = 0; j < temp.length; j++) { + if (isNullVector[offset]) { + offset++; + continue; + } + temp[j] = (short) vector.vector[offset++]; + } + rows[i] = temp; + } + } else { // set list as a field of Row + for (int i = 0; offset < childCount; i++) { + temp = new short[(int) lengthVector[i]]; + for (int j = 0; j < temp.length; j++) { + if (isNullVector[offset]) { + offset++; + continue; + } + temp[j] = (short) vector.vector[offset++]; + } + ((Row) rows[i]).setField(fieldIdx, temp); + } + } + } + } + } + + private static void readIntColumn(Object[] rows, int fieldIdx, LongColumnVector vector, long[] lengthVector, int childCount) { + + // check if data type(dt) is directly in list or not, e.g, array
+ if (lengthVector == null) { + if (vector.isRepeating) { // fill complete column with first value + // Also column contains null value and it's repeating + fillColumnWithRepeatingValue(rows, fieldIdx, null, childCount); + } else { + boolean[] isNullVector = vector.isNull; + if (fieldIdx == -1) { // set as an object + for (int i = 0; i < childCount; i++) { + if (isNullVector[i]) { + rows[i] = null; + continue; + } + rows[i] = (int) vector.vector[i]; + } + } else { // set as a field of Row + for (int i = 0; i < childCount; i++) { + if (isNullVector[i]) { + ((Row) rows[i]).setField(fieldIdx, null); + continue; + } + ((Row) rows[i]).setField(fieldIdx, (int) vector.vector[i]); + } + } + } + } else { // in a list + if (vector.isRepeating) { // // fill complete list with first value + // Also column contains null value and it's repeating + // so all values are null, but we need to set list with null values + fillListWithRepeatingNull(rows, fieldIdx, int[].class, lengthVector, childCount); + } else { + // column contain null values + int offset = 0; + int[] temp; + boolean[] isNullVector = vector.isNull; + if (fieldIdx == -1) { // set list as an object + for (int i = 0; offset < childCount; i++) { + temp = new int[(int) lengthVector[i]]; + for (int j = 0; j < temp.length; j++) { + if (isNullVector[offset]) { + offset++; + continue; + } + temp[j] = (int) vector.vector[offset++]; + } + rows[i] = temp; + } + } else { // set list as a field of Row + for (int i = 0; offset < childCount; i++) { + temp = new int[(int) lengthVector[i]]; + for (int j = 0; j < temp.length; j++) { + if (isNullVector[offset]) { + offset++; + continue; + } + temp[j] = (int) vector.vector[offset++]; + } + ((Row) rows[i]).setField(fieldIdx, temp); + } + } + } + } + } + + private static void readLongColumn(Object[] rows, int fieldIdx, LongColumnVector vector, long[] lengthVector, int childCount) { + + // check if data type(dt) is directly in list or not, e.g, array
+ if (lengthVector == null) { + if (vector.isRepeating) { // fill complete column with first value + // Also column contains null value and it's repeating + fillColumnWithRepeatingValue(rows, fieldIdx, null, childCount); + } else { + boolean[] isNullVector = vector.isNull; + if (fieldIdx == -1) { // set as an object + for (int i = 0; i < childCount; i++) { + if (isNullVector[i]) { + rows[i] = null; + continue; + } + rows[i] = vector.vector[i]; + } + } else { // set as a field of Row + for (int i = 0; i < childCount; i++) { + if (isNullVector[i]) { + ((Row) rows[i]).setField(fieldIdx, null); + continue; + } + ((Row) rows[i]).setField(fieldIdx, vector.vector[i]); + } + } + } + } else { // in a list + if (vector.isRepeating) { // // fill complete list with first value + // Also column contains null value and it's repeating + // so all values are null, but we need to set list with null values + fillListWithRepeatingNull(rows, fieldIdx, long[].class, lengthVector, childCount); + } else { + // column contain null values + int offset = 0; + long[] temp; + boolean[] isNullVector = vector.isNull; + if (fieldIdx == -1) { // set list as an object + for (int i = 0; offset < childCount; i++) { + temp = new long[(int) lengthVector[i]]; + for (int j = 0; j < temp.length; j++) { + if (isNullVector[offset]) { + offset++; + continue; + } + temp[j] = vector.vector[offset++]; + } + rows[i] = temp; + } + } else { // set list as a field of Row + for (int i = 0; offset < childCount; i++) { + temp = new long[(int) lengthVector[i]]; + for (int j = 0; j < temp.length; j++) { + if (isNullVector[offset]) { + offset++; + continue; + } + temp[j] = vector.vector[offset++]; + } + ((Row) rows[i]).setField(fieldIdx, temp); + } + } + } + } + } + + private static void readFloatColumn(Object[] rows, int fieldIdx, DoubleColumnVector vector, long[] lengthVector, int childCount) { + + // check if data type(dt) is directly in list or not, e.g, array
+ if (lengthVector == null) { + if (vector.isRepeating) { // fill complete column with first value + // Also column contains null value and it's repeating + fillColumnWithRepeatingValue(rows, fieldIdx, null, childCount); + } else { + boolean[] isNullVector = vector.isNull; + if (fieldIdx == -1) { // set as an object + for (int i = 0; i < childCount; i++) { + if (isNullVector[i]) { + rows[i] = null; + continue; + } + rows[i] = (float) vector.vector[i]; + } + } else { // set as a field of Row + for (int i = 0; i < childCount; i++) { + if (isNullVector[i]) { + ((Row) rows[i]).setField(fieldIdx, null); + continue; + } + ((Row) rows[i]).setField(fieldIdx, (float) vector.vector[i]); + } + } + } + } else { // in a list + if (vector.isRepeating) { // // fill complete list with first value + // Also column contains null value and it's repeating + // so all values are null, but we need to set list with null values + fillListWithRepeatingNull(rows, fieldIdx, float[].class, lengthVector, childCount); + } else { + // column contain null values + int offset = 0; + float[] temp; + boolean[] isNullVector = vector.isNull; + if (fieldIdx == -1) { // set list as an object + for (int i = 0; offset < childCount; i++) { + temp = new float[(int) lengthVector[i]]; + for (int j = 0; j < temp.length; j++) { + if (isNullVector[offset]) { + offset++; + continue; + } + temp[j] = (float) vector.vector[offset++]; + } + rows[i] = temp; + } + } else { // set list as a field of Row + for (int i = 0; i < childCount; i++) { + temp = new float[(int) lengthVector[i]]; + for (int j = 0; j < temp.length; j++) { + if (isNullVector[offset]) { + offset++; + continue; + } + temp[j] = (float) vector.vector[offset++]; + } + ((Row) rows[i]).setField(fieldIdx, temp); + } + } + } + } + } + + private static void readDoubleColumn(Object[] rows, int fieldIdx, DoubleColumnVector vector, long[] lengthVector, int childCount) { + + // check if data type(dt) is directly in list or not, e.g, array
+ if (lengthVector == null) { + if (vector.isRepeating) { // fill complete column with first value + // Also column contains null value and it's repeating + fillColumnWithRepeatingValue(rows, fieldIdx, null, childCount); + } else { + boolean[] isNullVector = vector.isNull; + if (fieldIdx == -1) { // set as an object + for (int i = 0; i < childCount; i++) { + if (isNullVector[i]) { + rows[i] = null; + continue; + } + rows[i] = vector.vector[i]; + } + } else { // set as field of Row + for (int i = 0; i < childCount; i++) { + if (isNullVector[i]) { + ((Row) rows[i]).setField(fieldIdx, null); + continue; + } + ((Row) rows[i]).setField(fieldIdx, vector.vector[i]); + } + } + } + } else { // in a list + if (vector.isRepeating) { // // fill complete list with first value + // Also column contains null value and it's repeating + // so all values are null, but we need to set list with null values + fillListWithRepeatingNull(rows, fieldIdx, double[].class, lengthVector, childCount); + } else { + // column contain null values + int offset = 0; + double[] temp; + boolean[] isNullVector = vector.isNull; + if (fieldIdx == -1) { // set list as an object + for (int i = 0; offset < childCount; i++) { + temp = new double[(int) lengthVector[i]]; + for (int j = 0; j < temp.length; j++) { + if (isNullVector[offset]) { + offset++; + continue; + } + temp[j] = vector.vector[offset++]; + } + rows[i] = temp; + } + } else { // set list as a field of Row + for (int i = 0; offset < childCount; i++) { + temp = new double[(int) lengthVector[i]]; + for (int j = 0; j < temp.length; j++) { + if (isNullVector[offset]) { + offset++; + continue; + } + temp[j] = vector.vector[offset++]; + } + ((Row) rows[i]).setField(fieldIdx, temp); + } + } + } + } + } + + private static void readStringColumn(Object[] rows, int fieldIdx, BytesColumnVector bytes, long[] lengthVector, int childCount) { + + // check if string is directly in a list or not, e.g, array + if (lengthVector == null) { + if (bytes.isRepeating) { // fill complete column with first value + // Also column contains null value and it's repeating + fillColumnWithRepeatingValue(rows, fieldIdx, null, childCount); + } else { + boolean[] isNullVector = bytes.isNull; + if (fieldIdx == -1) { // set as an object + for (int i = 0; i < childCount; i++) { + if (isNullVector[i]) { + rows[i] = null; + continue; + } + rows[i] = new String(bytes.vector[i], bytes.start[i], bytes.length[i]); + } + } else { // set as a field of Row + for (int i = 0; i < childCount; i++) { + if (isNullVector[i]) { + ((Row) rows[i]).setField(fieldIdx, null); + continue; + } + ((Row) rows[i]).setField(fieldIdx, new String(bytes.vector[i], bytes.start[i], bytes.length[i])); + } + } + } + } else { // in a list + if (bytes.isRepeating) { // fill list with first value + // Also column contains null value and it's repeating + // so all values are null, but we need to set list with null values + fillListWithRepeatingNull(rows, fieldIdx, String[].class, lengthVector, childCount); + } else { + int offset = 0; + String[] temp; + boolean[] isNullVector = bytes.isNull; + if (fieldIdx == -1) { // set list as an object + for (int i = 0; offset < childCount; i++) { + temp = new String[(int) lengthVector[i]]; + for (int j = 0; j < temp.length; j++) { + if (isNullVector[offset]) { + offset++; + temp[j] = null; + continue; // skip null value + } + temp[j] = new String(bytes.vector[offset], bytes.start[offset], bytes.length[offset]); + offset++; + } + rows[i] = temp; + } + } else { // set list as a field + for (int i = 0; offset < childCount; i++) { + temp = new String[(int) lengthVector[i]]; + for (int j = 0; j < temp.length; j++) { + if (isNullVector[offset]) { + offset++; + temp[j] = null; + continue; // skip null value + } + temp[j] = new String(bytes.vector[offset], bytes.start[offset], bytes.length[offset]); + offset++; + } + ((Row) rows[i]).setField(fieldIdx, temp); + } + } + } + } + + } + + private static void readDateColumn(Object[] rows, int fieldIdx, LongColumnVector vector, long[] lengthVector, int childCount) { + + // check if date is directly in a list or not, e.g, array + if (lengthVector == null) { + if (vector.isRepeating) { // fill complete column with first value + // Also column contains null value and it's repeating + fillColumnWithRepeatingValue(rows, fieldIdx, null, childCount); + } else { + boolean[] isNullVector = vector.isNull; + if (fieldIdx == -1) { // set as an object + for (int i = 0; i < childCount; i++) { + if (isNullVector[i]) { + rows[i] = null; + continue; + } + rows[i] = readDate(vector.vector[i]); + } + } else { // set as a field of Row + for (int i = 0; i < childCount; i++) { + if (isNullVector[i]) { + ((Row) rows[i]).setField(fieldIdx, null); + continue; + } + ((Row) rows[i]).setField(fieldIdx, readDate(vector.vector[i])); + } + } + } + } else { + if (vector.isRepeating) { // fill complete list with first value + // Also column contains null value and it's repeating + // so all values are null, but we need to set list with null values + fillListWithRepeatingNull(rows, fieldIdx, Date[].class, lengthVector, childCount); + } else { + int offset = 0; + Date[] temp; + boolean[] isNullVector = vector.isNull; + if (fieldIdx == -1) { // set list as an object + for (int i = 0; offset < childCount; i++) { + temp = new Date[(int) lengthVector[i]]; + for (int j = 0; j < temp.length; j++) { + if (isNullVector[offset]) { + offset++; + temp[j] = null; + continue; + } + temp[j] = readDate(vector.vector[offset++]); + } + rows[i] = temp; + } + } else { // set list as a field of Row + for (int i = 0; offset < childCount; i++) { + temp = new Date[(int) lengthVector[i]]; + for (int j = 0; j < temp.length; j++) { + if (isNullVector[offset]) { + offset++; + temp[j] = null; + continue; + } + temp[j] = readDate(vector.vector[offset++]); + } + ((Row) rows[i]).setField(fieldIdx, temp); + } + } + } + } + + } + + private static void readTimestampColumn(Object[] rows, int fieldIdx, TimestampColumnVector vector, long[] lengthVector, int childCount) { + + // check if timestamp is directly in a list or not, e.g, array + if (lengthVector == null) { + if (vector.isRepeating) { // fill complete column with first value + // Also column contains null value and it's repeating + fillColumnWithRepeatingValue(rows, fieldIdx, null, childCount); + } else { + boolean[] isNullVector = vector.isNull; + if (fieldIdx == -1) { // set as an object + for (int i = 0; i < childCount; i++) { + if (isNullVector[i]) { + rows[i] = null; + continue; + } + Timestamp ts = new Timestamp(vector.time[i]); + ts.setNanos(vector.nanos[i]); + rows[i] = ts; + } + } else { // set as a field of Row + for (int i = 0; i < childCount; i++) { + if (isNullVector[i]) { + ((Row) rows[i]).setField(fieldIdx, null); + continue; + } + Timestamp ts = new Timestamp(vector.time[i]); + ts.setNanos(vector.nanos[i]); + ((Row) rows[i]).setField(fieldIdx, ts); + } + } + } + } + else { + if (vector.isRepeating) { // fill complete list with first value + // Also column contains null value and it's repeating + // so all values are null, but we need to set list with null values + fillListWithRepeatingNull(rows, fieldIdx, Timestamp[].class, lengthVector, childCount); + } else { + int offset = 0; + Timestamp[] temp; + boolean[] isNullVector = vector.isNull; + if (fieldIdx == -1) { // set list as an object + for (int i = 0; offset < childCount; i++) { + temp = new Timestamp[(int) lengthVector[i]]; + for (int j = 0; j < temp.length; j++) { + if (isNullVector[offset]) { + offset++; + temp[j] = null; + continue; + } + temp[j] = new Timestamp(vector.time[offset]); + temp[j].setNanos(vector.nanos[offset]); + offset++; + } + rows[i] = temp; + } + } else { // set list as a field of Row + for (int i = 0; offset < childCount; i++) { + temp = new Timestamp[(int) lengthVector[i]]; + for (int j = 0; j < temp.length; j++) { + if (isNullVector[offset]) { + offset++; + temp[j] = null; + continue; + } + temp[j] = new Timestamp(vector.time[offset]); + temp[j].setNanos(vector.nanos[offset]); + offset++; + } + ((Row) rows[i]).setField(fieldIdx, temp); + } + } + } + } + } + + private static void readBinaryColumn(Object[] rows, int fieldIdx, BytesColumnVector bytes, long[] lengthVector, int childCount) { + + // check if string is directly in a list or not, e.g, array + if (lengthVector == null) { + if (bytes.isRepeating) { // fill complete column with first value + // Also column contains null value and it's repeating + fillColumnWithRepeatingValue(rows, fieldIdx, null, childCount); + } else { + boolean[] isNullVectorIndex = bytes.isNull; + if (fieldIdx == -1) { // set as an object + for (int i = 0; i < childCount; i++) { + if (isNullVectorIndex[i]) { + rows[i] = null; + continue; + } + rows[i] = readBinary(bytes.vector[i], bytes.start[i], bytes.length[i]); + } + } else { // set as a field of Row + for (int i = 0; i < childCount; i++) { + if (isNullVectorIndex[i]) { + ((Row) rows[i]).setField(fieldIdx, null); + continue; + } + ((Row) rows[i]).setField(fieldIdx, readBinary(bytes.vector[i], bytes.start[i], bytes.length[i])); + } + } + } + } else { + if (bytes.isRepeating) { // fill complete list with first value + // Also column contains null value and it's repeating + // so all values are null, but we need to set list with null values + fillListWithRepeatingNull(rows, fieldIdx, byte[][].class, lengthVector, childCount); + } else { + int offset = 0; + byte[][] temp; + boolean[] isNullVector = bytes.isNull; + if (fieldIdx == -1) { // set list as an object + for (int i = 0; offset < childCount; i++) { + temp = new byte[(int) lengthVector[i]][]; + for (int j = 0; j < temp.length; j++) { + if (isNullVector[offset]) { + offset++; + temp[j] = null; + continue; + } + temp[j] = readBinary(bytes.vector[offset], bytes.start[offset], bytes.length[offset]); + offset++; + } + rows[i] = temp; + } + } else { // set list as a field + for (int i = 0; offset < childCount; i++) { + temp = new byte[(int) lengthVector[i]][]; + for (int j = 0; j < temp.length; j++) { + if (isNullVector[offset]) { + offset++; + temp[j] = null; + continue; + } + temp[j] = readBinary(bytes.vector[offset], bytes.start[offset], bytes.length[offset]); + offset++; + } + ((Row) rows[i]).setField(fieldIdx, temp); + } + } + } + } + } + + private static void readDecimalColumn(Object[] rows, int fieldIdx, DecimalColumnVector vector, long[] lengthVector, int childCount) { + + // check if decimal is directly in a list or not, e.g, array + if (lengthVector == null) { + if (vector.isRepeating) { // fill complete column with first value + // Also column contains null value and it's repeating + fillColumnWithRepeatingValue(rows, fieldIdx, null, childCount); + } else { + boolean[] isNullVector = vector.isNull; + if (fieldIdx == -1) { // set as an object + for (int i = 0; i < childCount; i++) { + if (isNullVector[i]) { + rows[i] = null; + continue; + } + rows[i] = readBigDecimal(vector.vector[i]); + } + } else { // set as a field of Row + for (int i = 0; i < childCount; i++) { + if (isNullVector[i]) { + ((Row) rows[i]).setField(fieldIdx, null); + continue; + } + ((Row) rows[i]).setField(fieldIdx, readBigDecimal(vector.vector[i])); + } + } + } + } else { + if (vector.isRepeating) { // fill complete list with first value + // Also column contains null value and it's repeating + // so all values are null, but we need to set list with null values + fillListWithRepeatingNull(rows, fieldIdx, BigDecimal[].class, lengthVector, childCount); + } else { + int offset = 0; + BigDecimal[] temp; + boolean[] isNullVector = vector.isNull; + if (fieldIdx == -1) { // set list as an object + for (int i = 0; offset < childCount; i++) { + temp = new BigDecimal[(int) lengthVector[i]]; + for (int j = 0; j < temp.length; j++) { + if (isNullVector[offset]) { + offset++; + temp[j] = null; + continue; + } + temp[j] = readBigDecimal(vector.vector[offset++]); + } + rows[i] = temp; + } + } else { // set list as a field of Row + for (int i = 0; offset < childCount; i++) { + temp = new BigDecimal[(int) lengthVector[i]]; + for (int j = 0; j < temp.length; j++) { + if (isNullVector[offset]) { + offset++; + temp[j] = null; + continue; + } + temp[j] = readBigDecimal(vector.vector[offset++]); + } + ((Row) rows[i]).setField(fieldIdx, temp); + } + } + } + } + } + + private static void readStructColumn(Object[] rows, int fieldIdx, StructColumnVector struct, TypeDescription schema, long[] lengthVector, int childCount) { + + List childrenTypes = schema.getChildren(); + + int numChildren = childrenTypes.size(); + Row[] nestedFields = new Row[childCount]; + for (int i = 0; i < childCount; i++) { + nestedFields[i] = new Row(numChildren); + } + for (int i = 0; i < numChildren; i++) { + readField(nestedFields, i, childrenTypes.get(i), struct.fields[i], null, childCount); + } + + boolean[] isNullVector = struct.isNull; + + // check if struct is directly in a list or not, e.g, array> + if (lengthVector == null) { + if (fieldIdx == -1) { // set struct as an object + for (int i = 0; i < childCount; i++) { + if (isNullVector[i]) { + rows[i] = null; + continue; + } + rows[i] = nestedFields[i]; + } + } else { // set struct as a field of Row + for (int i = 0; i < childCount; i++) { + if (isNullVector[i]) { + ((Row) rows[i]).setField(fieldIdx, null); + continue; + } + ((Row) rows[i]).setField(fieldIdx, nestedFields[i]); + } + } + } else { // struct in a list + int offset = 0; + Row[] temp; + if (fieldIdx == -1) { // set list of struct as an object + for (int i = 0; offset < childCount; i++) { + temp = new Row[(int) lengthVector[i]]; + for (int j = 0; j < temp.length; j++) { + if (isNullVector[offset]) { + temp[j] = null; + continue; + } + temp[j] = nestedFields[offset++]; + } + rows[i] = temp; + } + } + else { // set list of struct as a field of Row + for (int i = 0; offset < childCount; i++) { + temp = new Row[(int) lengthVector[i]]; + for (int j = 0; j < temp.length; j++) { + if (isNullVector[offset]) { + temp[j] = null; + continue; + } + temp[j] = nestedFields[offset++]; + } + ((Row) rows[i]).setField(fieldIdx, temp); + } + } + } + } + + private static void readListColumn(Object[] rows, int fieldIdx, ListColumnVector list, TypeDescription schema, long[] lengthVector, int childCount) { + + TypeDescription fieldType = schema.getChildren().get(0); + if (lengthVector == null) { + long[] lengthVectorNested = list.lengths; + readField(rows, fieldIdx, fieldType, list.child, lengthVectorNested, list.childCount); + } + else { // list in a list + + Object[] nestedList = new Object[childCount]; + + // length vector for nested list + long[] lengthVectorNested = list.lengths; + + // read nested list + readField(nestedList, -1, fieldType, list.child, lengthVectorNested, list.childCount); + + // get type of nestedList + Class classType = nestedList[0].getClass(); + + // fill outer list with nested list + int offset = 0; + int length; + if (fieldIdx == -1) { // set list of list as an object + for (int i = 0; offset < childCount; i++) { + length = (int) lengthVector[i]; + Object temp = Array.newInstance(classType, length); + System.arraycopy(nestedList, offset, temp, 0, length); + offset = offset + length; + rows[i] = temp; + + } + } else { // set list of list as an field on Row + for (int i = 0; offset < childCount; i++) { + length = (int) lengthVector[i]; + Object temp = Array.newInstance(classType, length); + System.arraycopy(nestedList, offset, temp, 0, length); + offset = offset + length; + ((Row) rows[i]).setField(fieldIdx, temp); + } + } + } + } + + private static void readMapColumn(Object[] rows, int fieldIdx, MapColumnVector map, TypeDescription schema, long[] lengthVector, int childCount) { + + List fieldType = schema.getChildren(); + TypeDescription keyType = fieldType.get(0); + TypeDescription valueType = fieldType.get(1); + + ColumnVector keys = map.keys; + ColumnVector values = map.values; + Object[] keyRows = new Object[map.childCount]; + Object[] valueRows = new Object[map.childCount]; + + // read map kes and values + readField(keyRows, -1, keyType, keys, null, keyRows.length); + readField(valueRows, -1, valueType, values, null, valueRows.length); + + boolean[] isNullVector = map.isNull; + + // check if map is directly in a list or not, e.g, array> + if (lengthVector == null) { + long[] lengthVectorMap = map.lengths; + int offset = 0; + if (fieldIdx == -1) { // set map as an object + for (int i = 0; i < childCount; i++) { + if (isNullVector[i]) { + rows[i] = null; + continue; + } + rows[i] = readHashMap(keyRows, valueRows, offset, lengthVectorMap[i]); + offset += lengthVectorMap[i]; + } + } else { // set map as a field of Row + for (int i = 0; i < childCount; i++) { + if (isNullVector[i]) { + ((Row) rows[i]).setField(fieldIdx, null); + continue; + } + ((Row) rows[i]).setField(fieldIdx, readHashMap(keyRows, valueRows, offset, lengthVectorMap[i])); + offset += lengthVectorMap[i]; + } + } + } else { // list of map + long[] lengthVectorMap = map.lengths; + int mapOffset = 0; // offset of map element + int offset = 0; // offset of map + HashMap[] temp; + if (fieldIdx == -1) { // set map list as an object + for (int i = 0; offset < childCount; i++) { + temp = new HashMap[(int) lengthVector[i]]; + for (int j = 0; j < temp.length; j++) { + if (isNullVector[offset]) { + temp[j] = null; + continue; + } + temp[j] = readHashMap(keyRows, valueRows, mapOffset, lengthVectorMap[offset]); + mapOffset += lengthVectorMap[offset]; + offset++; + } + rows[i] = temp; + } + } else { // set map list as a field of Row + for (int i = 0; offset < childCount; i++) { + temp = new HashMap[(int) lengthVector[i]]; + for (int j = 0; j < temp.length; j++) { + if (isNullVector[offset]) { + temp[j] = null; + continue; + } + temp[j] = readHashMap(keyRows, valueRows, mapOffset, lengthVectorMap[offset]); + mapOffset += lengthVectorMap[offset]; + offset++; + } + ((Row) rows[i]).setField(fieldIdx, temp); + } + } + } + } + + private static BigDecimal readBigDecimal(HiveDecimalWritable hiveDecimalWritable) { + HiveDecimal hiveDecimal = hiveDecimalWritable.getHiveDecimal(); + return hiveDecimal.bigDecimalValue(); + } + + private static byte[] readBinary(byte[] src, int srcPos, int length) { + byte[] result = new byte[length]; + System.arraycopy(src, srcPos, result, 0, length); + return result; + } + + private static Timestamp readTimeStamp(long time, int nanos) { + Timestamp ts = new Timestamp(time); + ts.setNanos(nanos); + return ts; + } + + private static Date readDate(long days) { + // day to milliseconds + return new Date(days * 24 * 60 * 60 * 1000); + } + + private static HashMap readHashMap(Object[] keyRows, Object[] valueRows, int offset, long length) { + + HashMap resultMap = new HashMap<>(); + for (int j = 0; j < length; j++) { + resultMap.put(keyRows[offset], valueRows[offset]); + offset++; + } + return resultMap; + } + +} diff --git a/flink-connectors/flink-orc/src/main/java/org/apache/flink/orc/RowOrcInputFormat.java b/flink-connectors/flink-orc/src/main/java/org/apache/flink/orc/RowOrcInputFormat.java new file mode 100644 index 0000000000000..0c9c549aed2cf --- /dev/null +++ b/flink-connectors/flink-orc/src/main/java/org/apache/flink/orc/RowOrcInputFormat.java @@ -0,0 +1,241 @@ +/* + * Licensed to the Apache Software Foundation (ASF) under one + * or more contributor license agreements. See the NOTICE file + * distributed with this work for additional information + * regarding copyright ownership. The ASF licenses this file + * to you under the Apache License, Version 2.0 (the + * "License"); you may not use this file except in compliance + * with the License. You may obtain a copy of the License at + * + * http://www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an "AS IS" BASIS, + * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + */ + +package org.apache.flink.orc; + +import org.apache.flink.api.common.io.FileInputFormat; +import org.apache.flink.api.common.typeinfo.TypeInformation; +import org.apache.flink.api.java.typeutils.ResultTypeQueryable; +import org.apache.flink.api.java.typeutils.RowTypeInfo; +import org.apache.flink.core.fs.FileInputSplit; +import org.apache.flink.core.fs.Path; +import org.apache.flink.types.Row; +import org.apache.flink.util.Preconditions; + +import org.apache.hadoop.conf.Configuration; +import org.apache.hadoop.hive.ql.exec.vector.VectorizedRowBatch; + +import org.apache.orc.OrcConf; +import org.apache.orc.OrcFile; +import org.apache.orc.Reader; +import org.apache.orc.RecordReader; +import org.apache.orc.TypeDescription; + +import org.slf4j.Logger; +import org.slf4j.LoggerFactory; + +import java.io.IOException; +import java.io.ObjectInputStream; +import java.io.ObjectOutputStream; + +import static org.apache.flink.orc.OrcUtils.fillRows; + +/** + * InputFormat to read ORC data. + * For Optimization, reading is done in batch instead of a single row. + */ +public class RowOrcInputFormat + extends FileInputFormat + implements ResultTypeQueryable { + + private static final Logger LOG = LoggerFactory.getLogger(RowOrcInputFormat.class); + private static final int BATCH_SIZE = 1024; + + private org.apache.hadoop.conf.Configuration config; + private TypeDescription schema; + private int[] fieldMapping; + + private transient RowTypeInfo rowType; + private transient RecordReader orcRowsReader; + private transient VectorizedRowBatch rowBatch; + private transient Row[] rows; + + private transient int rowInBatch; + + public RowOrcInputFormat(String path, String schemaString, Configuration orcConfig) { + this(path, TypeDescription.fromString(schemaString), orcConfig); + } + + public RowOrcInputFormat(String path, TypeDescription orcSchema, Configuration orcConfig) { + super(new Path(path)); + this.unsplittable = false; + this.schema = orcSchema; + this.rowType = (RowTypeInfo) OrcUtils.schemaToTypeInfo(schema); + this.config = orcConfig; + + this.fieldMapping = new int[this.schema.getChildren().size()]; + for (int i = 0; i < fieldMapping.length; i++) { + this.fieldMapping[i] = i; + } + + } + + public void setFieldMapping(int[] fieldMapping) { + this.fieldMapping = fieldMapping; + // adapt result type + + TypeInformation[] fieldTypes = new TypeInformation[fieldMapping.length]; + String[] fieldNames = new String[fieldMapping.length]; + for (int i = 0; i < fieldMapping.length; i++) { + fieldTypes[i] = this.rowType.getTypeAt(fieldMapping[i]); + fieldNames[i] = this.rowType.getFieldNames()[fieldMapping[i]]; + } + this.rowType = new RowTypeInfo(fieldTypes, fieldNames); + } + + private boolean[] computeProjectionMask() { + boolean[] projectionMask = new boolean[schema.getMaximumId() + 1]; + for (int inIdx : fieldMapping) { + TypeDescription fieldSchema = schema.getChildren().get(inIdx); + for (int i = fieldSchema.getId(); i <= fieldSchema.getMaximumId(); i++) { + projectionMask[i] = true; + } + } + return projectionMask; + } + + @Override + public void openInputFormat() throws IOException { + super.openInputFormat(); + this.rows = new Row[BATCH_SIZE]; + for (int i = 0; i < BATCH_SIZE; i++) { + rows[i] = new Row(fieldMapping.length); + } + } + + @Override + public void open(FileInputSplit fileSplit) throws IOException { + + this.currentSplit = fileSplit; + Preconditions.checkArgument(this.splitStart == 0, "ORC files must be read from the start."); + + if (LOG.isDebugEnabled()) { + LOG.debug("Opening ORC file " + fileSplit.getPath()); + } + + org.apache.hadoop.fs.Path hPath = new org.apache.hadoop.fs.Path(fileSplit.getPath().getPath()); + + Reader orcReader = OrcFile.createReader(hPath, OrcFile.readerOptions(config)); + + Reader.Options options = orcReader.options() + .range(fileSplit.getStart(), fileSplit.getLength()) + .useZeroCopy(OrcConf.USE_ZEROCOPY.getBoolean(config)) + .skipCorruptRecords(OrcConf.SKIP_CORRUPT_DATA.getBoolean(config)) + .tolerateMissingSchema(OrcConf.TOLERATE_MISSING_SCHEMA.getBoolean(config)); + + options.include(computeProjectionMask()); + + // check that schema of file is as expected + if (!this.schema.equals(orcReader.getSchema())) { + + throw new RuntimeException("Invalid schema for file at " + this.filePath + + " Expected:" + this.schema + " Actual: " + orcReader.getSchema()); + } + + this.orcRowsReader = orcReader.rows(options); + + // assign ids + this.schema.getId(); + + this.rowBatch = schema.createRowBatch(BATCH_SIZE); + rowInBatch = 0; + } + + @Override + public void close() throws IOException { + + if (orcRowsReader != null) { + this.orcRowsReader.close(); + } + this.orcRowsReader = null; + + } + + @Override + public void closeInputFormat() throws IOException { + this.rows = null; + this.rows = null; + this.schema = null; + this.rowBatch = null; + } + + @Override + public boolean reachedEnd() throws IOException { + return !ensureBatch(); + } + + private boolean ensureBatch() throws IOException { + + if (rowInBatch >= rowBatch.size) { + rowInBatch = 0; + boolean moreRows = orcRowsReader.nextBatch(rowBatch); + + if (moreRows) { + // read rows + fillRows(rows, schema, rowBatch, fieldMapping); + } + return moreRows; + } + + return true; + } + + @Override + public Row nextRecord(Row reuse) throws IOException { + return rows[this.rowInBatch++]; + } + + @Override + public TypeInformation getProducedType() { + return rowType; + } + + // -------------------------------------------------------------------------------------------- + // Custom serialization methods + // -------------------------------------------------------------------------------------------- + + private void writeObject(ObjectOutputStream out) throws IOException { + this.config.write(out); + out.writeUTF(schema.toString()); + + out.writeInt(fieldMapping.length); + for (int f : fieldMapping) { + out.writeInt(f); + } + + } + + @SuppressWarnings("unchecked") + private void readObject(ObjectInputStream in) throws IOException, ClassNotFoundException { + + org.apache.hadoop.conf.Configuration configuration = new org.apache.hadoop.conf.Configuration(); + configuration.readFields(in); + + if (this.config == null) { + this.config = configuration; + } + this.schema = TypeDescription.fromString(in.readUTF()); + + this.fieldMapping = new int[in.readInt()]; + for (int i = 0; i < fieldMapping.length; i++) { + this.fieldMapping[i] = in.readInt(); + } + + } + +} diff --git a/flink-connectors/flink-orc/src/test/java/org/apache/flink/orc/OrcTableSourceITCase.java b/flink-connectors/flink-orc/src/test/java/org/apache/flink/orc/OrcTableSourceITCase.java new file mode 100644 index 0000000000000..3de6ab31010a5 --- /dev/null +++ b/flink-connectors/flink-orc/src/test/java/org/apache/flink/orc/OrcTableSourceITCase.java @@ -0,0 +1,142 @@ +/* + * Licensed to the Apache Software Foundation (ASF) under one + * or more contributor license agreements. See the NOTICE file + * distributed with this work for additional information + * regarding copyright ownership. The ASF licenses this file + * to you under the Apache License, Version 2.0 (the + * "License"); you may not use this file except in compliance + * with the License. You may obtain a copy of the License at + * + * http://www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an "AS IS" BASIS, + * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + */ + +package org.apache.flink.orc; + +import org.apache.flink.api.common.typeinfo.BasicTypeInfo; +import org.apache.flink.api.common.typeinfo.TypeInformation; +import org.apache.flink.api.java.DataSet; +import org.apache.flink.api.java.ExecutionEnvironment; +import org.apache.flink.api.java.typeutils.MapTypeInfo; +import org.apache.flink.api.java.typeutils.ObjectArrayTypeInfo; +import org.apache.flink.api.java.typeutils.RowTypeInfo; +import org.apache.flink.table.api.Table; +import org.apache.flink.table.api.TableEnvironment; +import org.apache.flink.table.api.TableSchema; +import org.apache.flink.table.api.java.BatchTableEnvironment; +import org.apache.flink.test.util.MultipleProgramsTestBase; +import org.apache.flink.types.Row; + +import org.hamcrest.CoreMatchers; +import org.junit.Assert; +import org.junit.Test; + +import java.net.URL; +import java.util.ArrayList; +import java.util.List; + +/** + * Tests for {@link OrcTableSource}. + */ +public class OrcTableSourceITCase extends MultipleProgramsTestBase { + + private static final String TEST1_SCHEMA = "struct>>," + + "list:array>," + + "map:map>>"; + + private final URL test1URL = getClass().getClassLoader().getResource("TestOrcFile.test1.orc"); + + + private static final String[] TEST1_DATA = new String[] { + "false,1,1024,65536,9223372036854775807,1.0,-15.0,[0, 1, 2, 3, 4],hi,[1,bye, 2,sigh],[3,good, 4,bad],{}", + "true,100,2048,65536,9223372036854775807,2.0,-5.0,[],bye,[1,bye, 2,sigh]," + + "[100000000,cat, -100000,in, 1234,hat],{chani=5,chani, mauddib=1,mauddib}" }; + + public OrcTableSourceITCase() { + super(TestExecutionMode.COLLECTION); + } + + @Test + public void testOrcTableSource() throws Exception { + + ExecutionEnvironment env = ExecutionEnvironment.getExecutionEnvironment(); + BatchTableEnvironment tEnv = TableEnvironment.getTableEnvironment(env); + + assert (test1URL != null); + OrcTableSource orc = new OrcTableSource(test1URL.getPath(), TEST1_SCHEMA); + + tEnv.registerTableSource("orcTable", orc); + + String query = "Select * from orcTable"; + Table t = tEnv.sql(query); + + DataSet dataSet = tEnv.toDataSet(t, Row.class); + List records = dataSet.collect(); + + Assert.assertEquals(records.size(), 2); + + List actualRecords = new ArrayList<>(); + for (Row record : records) { + Assert.assertEquals(record.getArity(), 12); + actualRecords.add(record.toString()); + } + + Assert.assertThat(actualRecords, CoreMatchers.hasItems(TEST1_DATA)); + } + + @Test + public void testOrcTableProjection() throws Exception { + + ExecutionEnvironment env = ExecutionEnvironment.getExecutionEnvironment(); + BatchTableEnvironment tEnv = TableEnvironment.getTableEnvironment(env); + + assert(test1URL != null); + OrcTableSource orc = new OrcTableSource(test1URL.getPath(), TEST1_SCHEMA); + + tEnv.registerTableSource("orcTable", orc); + + String query = "Select middle,list,map from orcTable"; + Table t = tEnv.sql(query); + + String[] colNames = new String[] {"middle", "list", "map"}; + + RowTypeInfo rowTypeInfo = new RowTypeInfo( + new TypeInformation[] { + BasicTypeInfo.INT_TYPE_INFO, + BasicTypeInfo.STRING_TYPE_INFO}, + new String[] {"int1", "string1"}); + + RowTypeInfo structTypeInfo = new RowTypeInfo( + new TypeInformation[] {ObjectArrayTypeInfo.getInfoFor(rowTypeInfo)}, + new String[] {"list"}); + + TypeInformation[] colTypes = new TypeInformation[] { + structTypeInfo, + ObjectArrayTypeInfo.getInfoFor(rowTypeInfo), + new MapTypeInfo(BasicTypeInfo.STRING_TYPE_INFO, rowTypeInfo) + }; + + TableSchema actualTableSchema = new TableSchema(colNames, colTypes); + + Assert.assertArrayEquals(t.getSchema().getColumnNames(), colNames); + Assert.assertArrayEquals(t.getSchema().getTypes(), colTypes); + Assert.assertEquals(actualTableSchema.toString(), t.getSchema().toString()); + + DataSet dataSet = tEnv.toDataSet(t, Row.class); + List records = dataSet.collect(); + + Assert.assertEquals(records.size(), 2); + for (Row record: records) { + Assert.assertEquals(record.getArity(), 3); + } + + } + +} diff --git a/flink-connectors/flink-orc/src/test/java/org/apache/flink/orc/OrcTableSourceTest.java b/flink-connectors/flink-orc/src/test/java/org/apache/flink/orc/OrcTableSourceTest.java new file mode 100644 index 0000000000000..c285054c6e155 --- /dev/null +++ b/flink-connectors/flink-orc/src/test/java/org/apache/flink/orc/OrcTableSourceTest.java @@ -0,0 +1,113 @@ +/* + * Licensed to the Apache Software Foundation (ASF) under one + * or more contributor license agreements. See the NOTICE file + * distributed with this work for additional information + * regarding copyright ownership. The ASF licenses this file + * to you under the Apache License, Version 2.0 (the + * "License"); you may not use this file except in compliance + * with the License. You may obtain a copy of the License at + * + * http://www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an "AS IS" BASIS, + * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + */ + +package org.apache.flink.orc; + +import org.apache.flink.api.common.typeinfo.BasicTypeInfo; +import org.apache.flink.api.common.typeinfo.PrimitiveArrayTypeInfo; +import org.apache.flink.api.common.typeinfo.TypeInformation; +import org.apache.flink.api.java.ExecutionEnvironment; +import org.apache.flink.api.java.typeutils.MapTypeInfo; +import org.apache.flink.api.java.typeutils.ObjectArrayTypeInfo; +import org.apache.flink.api.java.typeutils.RowTypeInfo; +import org.apache.flink.table.api.Table; +import org.apache.flink.table.api.TableEnvironment; +import org.apache.flink.table.api.TableSchema; +import org.apache.flink.table.api.java.BatchTableEnvironment; + +import org.junit.Assert; +import org.junit.Test; + +import java.net.URL; + +/** + * Unit Tests for {@link OrcTableSource}. + */ +public class OrcTableSourceTest { + + private static final String TEST1_SCHEMA = "struct>>," + + "list:array>," + + "map:map>>"; + + private final URL test1URL = getClass().getClassLoader().getResource("TestOrcFile.test1.orc"); + + @Test + public void testOrcSchema() throws Exception { + + assert(test1URL != null); + OrcTableSource orc = new OrcTableSource(test1URL.getPath(), TEST1_SCHEMA); + + String expectedSchema = "Row(boolean1: Boolean, byte1: Byte, short1: Short, int1: Integer, long1: Long, " + + "float1: Float, double1: Double, bytes1: byte[], string1: String, " + + "middle: Row(list: ObjectArrayTypeInfo), " + + "list: ObjectArrayTypeInfo, " + + "map: Map)"; + + Assert.assertEquals(expectedSchema, orc.getReturnType().toString()); + + } + + @Test + public void testOrcTableSchema() throws Exception { + + ExecutionEnvironment env = ExecutionEnvironment.getExecutionEnvironment(); + BatchTableEnvironment tEnv = TableEnvironment.getTableEnvironment(env); + + assert(test1URL != null); + OrcTableSource orc = new OrcTableSource(test1URL.getPath(), TEST1_SCHEMA); + + tEnv.registerTableSource("orcTable", orc); + String query = "Select * from orcTable"; + Table t = tEnv.sql(query); + + String[] colNames = new String[] { + "boolean1", "byte1", "short1", "int1", "long1", "float1", + "double1", "bytes1", "string1", "list", "list0", "map" + }; + + RowTypeInfo rowTypeInfo = new RowTypeInfo( + new TypeInformation[] { + BasicTypeInfo.INT_TYPE_INFO, + BasicTypeInfo.STRING_TYPE_INFO}, + new String[] {"int1", "string1"}); + + TypeInformation[] colTypes = new TypeInformation[] { + BasicTypeInfo.BOOLEAN_TYPE_INFO, + BasicTypeInfo.BYTE_TYPE_INFO, + BasicTypeInfo.SHORT_TYPE_INFO, + BasicTypeInfo.INT_TYPE_INFO, + BasicTypeInfo.LONG_TYPE_INFO, + BasicTypeInfo.FLOAT_TYPE_INFO, + BasicTypeInfo.DOUBLE_TYPE_INFO, + PrimitiveArrayTypeInfo.BYTE_PRIMITIVE_ARRAY_TYPE_INFO, + BasicTypeInfo.STRING_TYPE_INFO, + ObjectArrayTypeInfo.getInfoFor(rowTypeInfo), + ObjectArrayTypeInfo.getInfoFor(rowTypeInfo), + new MapTypeInfo(BasicTypeInfo.STRING_TYPE_INFO, rowTypeInfo) + }; + TableSchema expectedTableSchema = new TableSchema(colNames, colTypes); + + Assert.assertArrayEquals(t.getSchema().getColumnNames(), colNames); + Assert.assertArrayEquals(t.getSchema().getTypes(), colTypes); + Assert.assertEquals(expectedTableSchema.toString(), t.getSchema().toString()); + + } + +} diff --git a/flink-connectors/flink-orc/src/test/java/org/apache/flink/orc/RowOrcInputFormatTest.java b/flink-connectors/flink-orc/src/test/java/org/apache/flink/orc/RowOrcInputFormatTest.java new file mode 100644 index 0000000000000..60008a0838612 --- /dev/null +++ b/flink-connectors/flink-orc/src/test/java/org/apache/flink/orc/RowOrcInputFormatTest.java @@ -0,0 +1,472 @@ +/* + * Licensed to the Apache Software Foundation (ASF) under one + * or more contributor license agreements. See the NOTICE file + * distributed with this work for additional information + * regarding copyright ownership. The ASF licenses this file + * to you under the Apache License, Version 2.0 (the + * "License"); you may not use this file except in compliance + * with the License. You may obtain a copy of the License at + * + * http://www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an "AS IS" BASIS, + * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + */ + +package org.apache.flink.orc; + +import org.apache.flink.api.common.typeinfo.TypeInformation; +import org.apache.flink.core.fs.FileInputSplit; +import org.apache.flink.types.Row; + +import org.apache.hadoop.conf.Configuration; + +import org.junit.After; +import org.junit.Assert; +import org.junit.Test; + +import java.io.FileNotFoundException; +import java.io.IOException; +import java.net.URL; +import java.nio.file.Files; +import java.nio.file.Paths; +import java.util.ArrayList; +import java.util.Arrays; +import java.util.List; + +/** + * Tests for the {@link RowOrcInputFormat}. + */ + +public class RowOrcInputFormatTest { + + private RowOrcInputFormat rowOrcInputFormat; + + @After + public void tearDown() throws IOException { + if (rowOrcInputFormat != null) { + rowOrcInputFormat.close(); + rowOrcInputFormat.closeInputFormat(); + } + rowOrcInputFormat = null; + } + + private final URL test1URL = getClass().getClassLoader().getResource("TestOrcFile.test1.orc"); + + private static final String TEST1_SCHEMA = "struct>>," + + "list:array>," + + "map:map>>"; + + private static final String[] TEST1_DATA = new String[] { + "false,1,1024,65536,9223372036854775807,1.0,-15.0,[0, 1, 2, 3, 4],hi,[1,bye, 2,sigh],[3,good, 4,bad],{}", + "true,100,2048,65536,9223372036854775807,2.0,-5.0,[],bye,[1,bye, 2,sigh]," + + "[100000000,cat, -100000,in, 1234,hat],{chani=5,chani, mauddib=1,mauddib}" }; + + private static final String[] TEST1_PROJECTED_DATA = new String[] { + "{},[3,good, 4,bad],[1,bye, 2,sigh],hi,[0, 1, 2, 3, 4],-15.0,1.0,9223372036854775807,65536,1024,1,false", + "{chani=5,chani, mauddib=1,mauddib},[100000000,cat, -100000,in, 1234,hat],[1,bye, 2,sigh],bye," + + "[],-5.0,2.0,9223372036854775807,65536,2048,100,true" }; + + private static final String TEST1_INVALID_SCHEMA = "struct>>," + + "list:array>," + + "map:map>>"; + + @Test(expected = FileNotFoundException.class) + public void testInvalidPath() throws IOException{ + + rowOrcInputFormat = new RowOrcInputFormat("TestOrcFile.test2.orc", TEST1_SCHEMA, new Configuration()); + rowOrcInputFormat.openInputFormat(); + FileInputSplit[] inputSplits = rowOrcInputFormat.createInputSplits(1); + rowOrcInputFormat.open(inputSplits[0]); + + } + + @Test(expected = RuntimeException.class) + public void testInvalidSchema() throws IOException{ + + assert(test1URL != null); + rowOrcInputFormat = new RowOrcInputFormat(test1URL.getPath(), TEST1_INVALID_SCHEMA, new Configuration()); + rowOrcInputFormat.openInputFormat(); + FileInputSplit[] inputSplits = rowOrcInputFormat.createInputSplits(1); + rowOrcInputFormat.open(inputSplits[0]); + + } + + @Test(expected = IndexOutOfBoundsException.class) + public void testInvalidProjection() throws IOException{ + + assert(test1URL != null); + rowOrcInputFormat = new RowOrcInputFormat(test1URL.getPath(), TEST1_SCHEMA, new Configuration()); + int[] projectionMask = {14}; + rowOrcInputFormat.setFieldMapping(projectionMask); + } + + @Test + public void testMajorDataTypes() throws IOException{ + + // test for boolean,byte,short,int,long,float,double,bytes,string,struct,list,map + assert(test1URL != null); + rowOrcInputFormat = new RowOrcInputFormat(test1URL.getPath(), TEST1_SCHEMA, new Configuration()); + rowOrcInputFormat.openInputFormat(); + FileInputSplit[] inputSplits = rowOrcInputFormat.createInputSplits(1); + + Assert.assertEquals(inputSplits.length, 1); + + Row row = null; + int count = 0; + for (FileInputSplit split : inputSplits) { + rowOrcInputFormat.open(split); + while (!rowOrcInputFormat.reachedEnd()) { + row = rowOrcInputFormat.nextRecord(row); + Assert.assertEquals(row.toString(), TEST1_DATA[count++]); + } + } + } + + @Test + public void testProjection() throws IOException{ + + assert(test1URL != null); + rowOrcInputFormat = new RowOrcInputFormat(test1URL.getPath(), TEST1_SCHEMA, new Configuration()); + int[] projectionMask = {11, 10, 9, 8, 7, 6, 5, 4, 3, 2, 1, 0}; + rowOrcInputFormat.setFieldMapping(projectionMask); + rowOrcInputFormat.openInputFormat(); + FileInputSplit[] inputSplits = rowOrcInputFormat.createInputSplits(1); + + Assert.assertEquals(inputSplits.length, 1); + + Row row = null; + int count = 0; + for (FileInputSplit split : inputSplits) { + rowOrcInputFormat.open(split); + while (!rowOrcInputFormat.reachedEnd()) { + row = rowOrcInputFormat.nextRecord(row); + Assert.assertEquals(row.toString(), TEST1_PROJECTED_DATA[count++]); + } + } + + } + + @Test + public void testTimeStampAndDate() throws IOException{ + + URL expectedDataURL = getClass().getClassLoader().getResource("TestOrcFile.testDate1900.dat"); + assert(expectedDataURL != null); + List expectedTimeStampAndDate = Files.readAllLines(Paths.get(expectedDataURL.getPath())); + + URL testInputURL = getClass().getClassLoader().getResource("TestOrcFile.testDate1900.orc"); + assert(testInputURL != null); + String path = testInputURL.getPath(); + String schema = "struct"; + rowOrcInputFormat = new RowOrcInputFormat(path, schema, new Configuration()); + rowOrcInputFormat.openInputFormat(); + + FileInputSplit[] inputSplits = rowOrcInputFormat.createInputSplits(1); + + Assert.assertEquals(inputSplits.length, 1); + + List actualTimeStampAndDate = new ArrayList<>(); + + Row row = null; + int count = 0; + for (FileInputSplit split : inputSplits) { + rowOrcInputFormat.open(split); + while (!rowOrcInputFormat.reachedEnd()) { + row = rowOrcInputFormat.nextRecord(row); + count++; + if (count <= 10000) { + actualTimeStampAndDate.add(row.getField(0) + "," + row.getField(1)); + } + + } + } + Assert.assertEquals(count, 70000); + Assert.assertEquals(expectedTimeStampAndDate.size(), actualTimeStampAndDate.size()); + Assert.assertEquals(expectedTimeStampAndDate.toString(), actualTimeStampAndDate.toString()); + + } + + @Test + public void testDecimal() throws IOException{ + + URL expectedDataURL = getClass().getClassLoader().getResource("decimal.dat"); + List expectedDecimal = Files.readAllLines(Paths.get(expectedDataURL.getPath())); + + URL testInputURL = getClass().getClassLoader().getResource("decimal.orc"); + assert(testInputURL != null); + String path = testInputURL.getPath(); + String schema = "struct<_col0:decimal(10,5)>"; + rowOrcInputFormat = new RowOrcInputFormat(path, schema, new Configuration()); + rowOrcInputFormat.openInputFormat(); + + FileInputSplit[] inputSplits = rowOrcInputFormat.createInputSplits(1); + + Assert.assertEquals(inputSplits.length, 1); + + List actualDecimal = new ArrayList<>(); + + Row row = null; + for (FileInputSplit split : inputSplits) { + rowOrcInputFormat.open(split); + while (!rowOrcInputFormat.reachedEnd()) { + row = rowOrcInputFormat.nextRecord(row); + actualDecimal.add(row.getField(0)); + } + } + + Assert.assertEquals(expectedDecimal.size(), actualDecimal.size()); + Assert.assertEquals(expectedDecimal.toString(), actualDecimal.toString()); + + } + + @Test + public void testEmptyFile() throws IOException{ + + URL testInputURL = getClass().getClassLoader().getResource("TestOrcFile.emptyFile.orc"); + assert(testInputURL != null); + String path = testInputURL.getPath(); + + rowOrcInputFormat = new RowOrcInputFormat(path, TEST1_SCHEMA, new Configuration()); + rowOrcInputFormat.openInputFormat(); + + FileInputSplit[] inputSplits = rowOrcInputFormat.createInputSplits(1); + + Assert.assertEquals(inputSplits.length, 1); + + Row row = new Row(1); + int count = 0; + for (FileInputSplit split : inputSplits) { + rowOrcInputFormat.open(split); + while (!rowOrcInputFormat.reachedEnd()) { + row = rowOrcInputFormat.nextRecord(row); + count++; + } + } + + Assert.assertEquals(count, 0); + } + + @Test + public void testLargeFile() throws IOException{ + + URL testInputURL = getClass().getClassLoader().getResource("demo-11-none.orc"); + assert(testInputURL != null); + String path = testInputURL.getPath(); + String schema = "struct<_col0:int,_col1:string,_col2:string,_col3:string,_col4:int," + + "_col5:string,_col6:int,_col7:int,_col8:int>"; + + rowOrcInputFormat = new RowOrcInputFormat(path, schema, new Configuration()); + rowOrcInputFormat.openInputFormat(); + + FileInputSplit[] inputSplits = rowOrcInputFormat.createInputSplits(1); + + Assert.assertEquals(inputSplits.length, 1); + + Row row = new Row(1); + int count = 0; + for (FileInputSplit split : inputSplits) { + rowOrcInputFormat.open(split); + while (!rowOrcInputFormat.reachedEnd()) { + row = rowOrcInputFormat.nextRecord(row); + count++; + } + } + + Assert.assertEquals(count, 1920800); + } + + @Test + public void testProducedType() throws IOException{ + + assert(test1URL != null); + rowOrcInputFormat = new RowOrcInputFormat(test1URL.getPath(), TEST1_SCHEMA, new Configuration()); + rowOrcInputFormat.openInputFormat(); + FileInputSplit[] inputSplits = rowOrcInputFormat.createInputSplits(1); + + Assert.assertEquals(inputSplits.length, 1); + + rowOrcInputFormat.open(inputSplits[0]); + + TypeInformation type = rowOrcInputFormat.getProducedType(); + Assert.assertEquals(type.toString(), "Row(boolean1: Boolean, byte1: Byte, short1: Short, int1: Integer," + + " long1: Long, float1: Float, double1: Double, bytes1: byte[], string1: String," + + " middle: Row(list: ObjectArrayTypeInfo)," + + " list: ObjectArrayTypeInfo," + + " map: Map)"); + + } + + @Test + public void testProducedTypeWithProjection() throws IOException{ + + assert(test1URL != null); + rowOrcInputFormat = new RowOrcInputFormat(test1URL.getPath(), TEST1_SCHEMA, new Configuration()); + int[] projectionMask = {9, 10, 11}; + rowOrcInputFormat.setFieldMapping(projectionMask); + rowOrcInputFormat.openInputFormat(); + FileInputSplit[] inputSplits = rowOrcInputFormat.createInputSplits(1); + + Assert.assertEquals(inputSplits.length, 1); + + rowOrcInputFormat.open(inputSplits[0]); + + TypeInformation type = rowOrcInputFormat.getProducedType(); + Assert.assertEquals(type.toString(), "Row(middle: Row(list: ObjectArrayTypeInfo)," + + " list: ObjectArrayTypeInfo," + + " map: Map)"); + + } + + @Test + public void testLongList() throws Exception { + + URL testInputURL = getClass().getClassLoader().getResource("TestOrcFile.listlong.orc"); + assert(testInputURL != null); + String path = testInputURL.getPath(); + String schema = "struct>"; + + rowOrcInputFormat = new RowOrcInputFormat(path, schema, new Configuration()); + + rowOrcInputFormat.openInputFormat(); + FileInputSplit[] inputSplits = rowOrcInputFormat.createInputSplits(1); + + Assert.assertEquals(inputSplits.length, 1); + + Row row = null; + long count = 0; + for (FileInputSplit split : inputSplits) { + rowOrcInputFormat.open(split); + while (!rowOrcInputFormat.reachedEnd()) { + row = rowOrcInputFormat.nextRecord(row); + Assert.assertEquals(row.getArity(), 1); + Object object = row.getField(0); + long[] l = (long[]) object; + + Assert.assertEquals(l.length, 2); + if (count < 50) { + Assert.assertArrayEquals(l, new long[]{count, count + 1}); + } + else { + Assert.assertArrayEquals(l, new long[]{0L, 0L}); + } + count = count + 2; + } + } + Assert.assertEquals(count, 100); + } + + @Test + public void testStringList() throws Exception { + + URL testInputURL = getClass().getClassLoader().getResource("TestOrcFile.liststring.orc"); + assert(testInputURL != null); + String path = testInputURL.getPath(); + String schema = "struct>"; + + rowOrcInputFormat = new RowOrcInputFormat(path, schema, new Configuration()); + + rowOrcInputFormat.openInputFormat(); + FileInputSplit[] inputSplits = rowOrcInputFormat.createInputSplits(1); + + Assert.assertEquals(inputSplits.length, 1); + + Row row = null; + long count = 0; + for (FileInputSplit split : inputSplits) { + rowOrcInputFormat.open(split); + while (!rowOrcInputFormat.reachedEnd()) { + row = rowOrcInputFormat.nextRecord(row); + Assert.assertEquals(row.getArity(), 1); + Object object = row.getField(0); + String[] l = (String[]) object; + + Assert.assertEquals(l.length, 2); + Assert.assertArrayEquals(l, new String[]{"hello" + count, "hello" + (count + 1) }); + count = count + 2; + } + } + Assert.assertEquals(count, 200); + } + + @Test + public void testListOfListOfStructOfLong() throws Exception { + URL testInputURL = getClass().getClassLoader().getResource("TestOrcFile.listliststructlong.orc"); + assert(testInputURL != null); + String path = testInputURL.getPath(); + String schema = "struct>>>"; + + rowOrcInputFormat = new RowOrcInputFormat(path, schema, new Configuration()); + + rowOrcInputFormat.openInputFormat(); + FileInputSplit[] inputSplits = rowOrcInputFormat.createInputSplits(1); + + Assert.assertEquals(inputSplits.length, 1); + + Row row = null; + long count = 0; + for (FileInputSplit split : inputSplits) { + rowOrcInputFormat.open(split); + while (!rowOrcInputFormat.reachedEnd()) { + + row = rowOrcInputFormat.nextRecord(row); + Assert.assertEquals(row.getArity(), 1); + + Object[] objects = (Object[]) row.getField(0); + Assert.assertEquals(objects.length, 1); + + Object[] objects1 = (Object[]) objects[0]; + Assert.assertEquals(objects1.length, 1); + + Row[] nestedRows = Arrays.copyOf(objects1, objects1.length, Row[].class); + Assert.assertEquals(nestedRows.length, 1); + + Assert.assertEquals(nestedRows[0].getArity(), 1); + + Assert.assertEquals(nestedRows[0].getField(0), count); + + count++; + } + } + Assert.assertEquals(count, 100); + } + + @Test + public void testSplit() throws IOException{ + + URL testInputURL = getClass().getClassLoader().getResource("demo-11-none.orc"); + assert(testInputURL != null); + String path = testInputURL.getPath(); + String schema = "struct<_col0:int,_col1:string,_col2:string,_col3:string,_col4:int," + + "_col5:string,_col6:int,_col7:int,_col8:int>"; + + rowOrcInputFormat = new RowOrcInputFormat(path, schema, new Configuration()); + rowOrcInputFormat.openInputFormat(); + + FileInputSplit[] inputSplits = rowOrcInputFormat.createInputSplits(10); + + Assert.assertEquals(inputSplits.length, 10); + + Row row = null; + int countTotalRecords = 0; + for (FileInputSplit split : inputSplits) { + rowOrcInputFormat.open(split); + int countSplitRecords = 0; + while (!rowOrcInputFormat.reachedEnd()) { + row = rowOrcInputFormat.nextRecord(row); + countSplitRecords++; + } + Assert.assertNotEquals(countSplitRecords, 1920800); + countTotalRecords += countSplitRecords; + } + + Assert.assertEquals(countTotalRecords, 1920800); + } + +} diff --git a/flink-connectors/flink-orc/src/test/resources/TestOrcFile.emptyFile.orc b/flink-connectors/flink-orc/src/test/resources/TestOrcFile.emptyFile.orc 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zPA;J_(Vo@CQ-~yw2)IWh&1$@BHwFC5&+i zbw`H(IJK(1B1#BivU!49?JvB-r8MhcDo(yiAub0^atZnJx(1STV8*pgaS2(Klupx# z1L@bO6c{$cC6tNWIZ;AmwYh7SLR>$8ouVGdnWGS=BIl{prcpaHdNfvd_lXjMNUd_^ zR!FKks^Jo9<9M{2GaF2(JG5TzTtZ_aX9y&Sh&HUN^`H=QCp>9HeXJLk(6~SC>&+$P zzGqC75QJyrZf8;f5(|8|gdj>1eVy4TM85h0_HYU1K44Om5JXz5AGboj%8UHDgdqA- z0;rYGUM-hU#MBv(AcaV(Y7gWR%KgNdAS#7r26G8P9No8pi*R7B9~AmPK6}Vd5CX_P-D*}a|u}$XQfc7Cp?u) zXiR8b)3}5na(YAwC8wz(opT}gvxhUdgt{XkB7yNN5qdu z#gE6tkH^K2C&Z5@H#n;n!QV3UXa3GU`QIj8)Q6iFtJuG5*uSf9Q#s$bK^kA0mht{( zxO5Qp;f9swTcmL7)GCR0NttvXx4Os9jZ#BYq08nwxcggGJpom + flink-orc flink-jdbc flink-hadoop-compatibility flink-hbase From 8ed02baa1d5cf5631d8c73943e42ad331d38b7b6 Mon Sep 17 00:00:00 2001 From: Fabian Hueske Date: Mon, 13 Nov 2017 14:54:54 +0100 Subject: [PATCH 2/2] [FLINK-2170] [connectors] Add OrcRowInputFormat and OrcTableSource. --- docs/dev/table/sourceSinks.md | 49 + flink-connectors/flink-orc/pom.xml | 89 +- .../apache/flink/orc/OrcRowInputFormat.java | 745 ++ .../org/apache/flink/orc/OrcTableSource.java | 455 +- .../java/org/apache/flink/orc/OrcUtils.java | 2379 ++-- .../apache/flink/orc/RowOrcInputFormat.java | 241 - .../flink/orc/OrcRowInputFormatTest.java | 795 ++ .../flink/orc/OrcTableSourceITCase.java | 134 +- .../apache/flink/orc/OrcTableSourceTest.java | 266 +- .../org/apache/flink/orc/OrcUtilsTest.java | 148 + .../flink/orc/RowOrcInputFormatTest.java | 472 - .../test/resources/TestOrcFile.emptyFile.orc | Bin 523 -> 0 bytes .../test/resources/TestOrcFile.listlong.orc | Bin 627 -> 0 bytes .../test/resources/TestOrcFile.liststring.orc | Bin 1298 -> 0 bytes .../resources/TestOrcFile.testDate1900.dat | 10000 ---------------- .../flink-orc/src/test/resources/decimal.dat | 6000 ---------- .../src/test/resources/demo-11-none.orc | Bin 5147970 -> 0 bytes .../{decimal.orc => test-data-decimal.orc} | Bin .../src/test/resources/test-data-flat.orc | Bin 0 -> 408522 bytes ...OrcFile.test1.orc => test-data-nested.orc} | Bin ...tructlong.orc => test-data-nestedlist.orc} | Bin ...stDate1900.orc => test-data-timetypes.orc} | Bin .../flink/api/java/typeutils/RowTypeInfo.java | 17 + .../logical/FlinkLogicalTableSourceScan.scala | 16 +- .../table/plan/util/RexProgramExtractor.scala | 12 + 25 files changed, 3306 insertions(+), 18512 deletions(-) create mode 100644 flink-connectors/flink-orc/src/main/java/org/apache/flink/orc/OrcRowInputFormat.java delete mode 100644 flink-connectors/flink-orc/src/main/java/org/apache/flink/orc/RowOrcInputFormat.java create mode 100644 flink-connectors/flink-orc/src/test/java/org/apache/flink/orc/OrcRowInputFormatTest.java create mode 100644 flink-connectors/flink-orc/src/test/java/org/apache/flink/orc/OrcUtilsTest.java delete mode 100644 flink-connectors/flink-orc/src/test/java/org/apache/flink/orc/RowOrcInputFormatTest.java delete mode 100644 flink-connectors/flink-orc/src/test/resources/TestOrcFile.emptyFile.orc delete mode 100644 flink-connectors/flink-orc/src/test/resources/TestOrcFile.listlong.orc delete mode 100644 flink-connectors/flink-orc/src/test/resources/TestOrcFile.liststring.orc delete mode 100644 flink-connectors/flink-orc/src/test/resources/TestOrcFile.testDate1900.dat delete mode 100644 flink-connectors/flink-orc/src/test/resources/decimal.dat delete mode 100644 flink-connectors/flink-orc/src/test/resources/demo-11-none.orc rename flink-connectors/flink-orc/src/test/resources/{decimal.orc => test-data-decimal.orc} (100%) create mode 100644 flink-connectors/flink-orc/src/test/resources/test-data-flat.orc rename flink-connectors/flink-orc/src/test/resources/{TestOrcFile.test1.orc => test-data-nested.orc} (100%) rename flink-connectors/flink-orc/src/test/resources/{TestOrcFile.listliststructlong.orc => test-data-nestedlist.orc} (100%) rename flink-connectors/flink-orc/src/test/resources/{TestOrcFile.testDate1900.orc => test-data-timetypes.orc} (100%) diff --git a/docs/dev/table/sourceSinks.md b/docs/dev/table/sourceSinks.md index 0b4bdbede0d3d..7387358beb931 100644 --- a/docs/dev/table/sourceSinks.md +++ b/docs/dev/table/sourceSinks.md @@ -47,6 +47,7 @@ A custom `TableSource` can be defined by implementing the `BatchTableSource` or | `Kafka08AvroTableSource` | `flink-connector-kafka-0.8` | N | Y | A `TableSource` for Avro-encoded Kafka 0.8 topics. | `Kafka08JsonTableSource` | `flink-connector-kafka-0.8` | N | Y | A `TableSource` for flat Json-encoded Kafka 0.8 topics. | `CsvTableSource` | `flink-table` | Y | Y | A simple `TableSource` for CSV files. +| `OrcTableSource` | `flink-orc` | Y | N | A `TableSource` for ORC files. All sources that come with the `flink-table` dependency are directly available for Table API or SQL programs. For all other table sources, you have to add the respective dependency in addition to the `flink-table` dependency. @@ -485,6 +486,54 @@ val csvTableSource = CsvTableSource {% top %} +### OrcTableSource + +The `OrcTableSource` reads [ORC files](https://orc.apache.org). ORC is a file format for structured data and stores the data in a compressed, columnar representation. ORC is very storage efficient and supports projection and filter push-down. + +An `OrcTableSource` is created as shown below: + +

+
+{% highlight java %} + +// create Hadoop Configuration +Configuration config = new Configuration(); + +OrcTableSource orcTableSource = OrcTableSource.builder() + // path to ORC file(s) + .path("file:///path/to/data") + // schema of ORC files + .forOrcSchema("struct>>") + // Hadoop configuration + .withConfiguration(config) + // build OrcTableSource + .build(); +{% endhighlight %} +
+ +
+{% highlight scala %} + +// create Hadoop Configuration +val config = new Configuration() + +val orcTableSource = OrcTableSource.builder() + // path to ORC file(s) + .path("file:///path/to/data") + // schema of ORC files + .forOrcSchema("struct>>") + // Hadoop configuration + .withConfiguration(config) + // build OrcTableSource + .build() +{% endhighlight %} +
+
+ +**Note:** The `OrcTableSource` does not support ORC's `Union` type yet. + +{% top %} + Provided TableSinks ------------------- diff --git a/flink-connectors/flink-orc/pom.xml b/flink-connectors/flink-orc/pom.xml index 1ac7eaa7a9f2f..3ee5e49331878 100644 --- a/flink-connectors/flink-orc/pom.xml +++ b/flink-connectors/flink-orc/pom.xml @@ -25,7 +25,7 @@ under the License. org.apache.flink flink-connectors - 1.4-SNAPSHOT + 1.5-SNAPSHOT .. @@ -40,22 +40,39 @@ under the License. org.apache.flink - flink-table_${scala.binary.version} + flink-streaming-scala_${scala.binary.version} ${project.version} - compile + provided org.apache.flink - flink-streaming-scala_${scala.binary.version} + flink-table_${scala.binary.version} ${project.version} - compile + provided + + true org.apache.orc orc-core - 1.4.0 + 1.4.1 + + + + org.apache.hadoop + hadoop-common + + + + + + + org.apache.flink + flink-shaded-hadoop2 + ${project.version} + provided @@ -88,65 +105,7 @@ under the License. test test-jar - - - - - - - - org.eclipse.m2e - lifecycle-mapping - 1.0.0 - - - - - - org.apache.maven.plugins - maven-assembly-plugin - [2.4,) - - single - - - - - - - - - org.apache.maven.plugins - maven-clean-plugin - [1,) - - clean - - - - - - - - - org.apache.avro - avro-maven-plugin - [1.7.7,) - - schema - - - - - - - - - - - - - + diff --git a/flink-connectors/flink-orc/src/main/java/org/apache/flink/orc/OrcRowInputFormat.java b/flink-connectors/flink-orc/src/main/java/org/apache/flink/orc/OrcRowInputFormat.java new file mode 100644 index 0000000000000..4353cbc66dfb2 --- /dev/null +++ b/flink-connectors/flink-orc/src/main/java/org/apache/flink/orc/OrcRowInputFormat.java @@ -0,0 +1,745 @@ +/* + * Licensed to the Apache Software Foundation (ASF) under one + * or more contributor license agreements. See the NOTICE file + * distributed with this work for additional information + * regarding copyright ownership. The ASF licenses this file + * to you under the Apache License, Version 2.0 (the + * "License"); you may not use this file except in compliance + * with the License. You may obtain a copy of the License at + * + * http://www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an "AS IS" BASIS, + * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + */ + +package org.apache.flink.orc; + +import org.apache.flink.annotation.VisibleForTesting; +import org.apache.flink.api.common.io.FileInputFormat; +import org.apache.flink.api.common.typeinfo.TypeInformation; +import org.apache.flink.api.java.tuple.Tuple2; +import org.apache.flink.api.java.typeutils.ResultTypeQueryable; +import org.apache.flink.api.java.typeutils.RowTypeInfo; +import org.apache.flink.core.fs.FileInputSplit; +import org.apache.flink.core.fs.Path; +import org.apache.flink.types.Row; + +import org.apache.hadoop.conf.Configuration; +import org.apache.hadoop.hive.common.type.HiveDecimal; +import org.apache.hadoop.hive.ql.exec.vector.VectorizedRowBatch; +import org.apache.hadoop.hive.ql.io.sarg.PredicateLeaf; +import org.apache.hadoop.hive.ql.io.sarg.SearchArgument; +import org.apache.hadoop.hive.ql.io.sarg.SearchArgumentFactory; +import org.apache.hadoop.hive.serde2.io.HiveDecimalWritable; +import org.apache.orc.OrcConf; +import org.apache.orc.OrcFile; +import org.apache.orc.Reader; +import org.apache.orc.RecordReader; +import org.apache.orc.StripeInformation; +import org.apache.orc.TypeDescription; +import org.slf4j.Logger; +import org.slf4j.LoggerFactory; + +import java.io.IOException; +import java.io.ObjectInputStream; +import java.io.ObjectOutputStream; +import java.io.Serializable; +import java.math.BigDecimal; +import java.sql.Date; +import java.sql.Timestamp; +import java.util.ArrayList; +import java.util.Arrays; +import java.util.List; + +import static org.apache.flink.orc.OrcUtils.fillRows; + +/** + * InputFormat to read ORC files. + */ +public class OrcRowInputFormat extends FileInputFormat implements ResultTypeQueryable { + + private static final Logger LOG = LoggerFactory.getLogger(OrcRowInputFormat.class); + // the number of rows read in a batch + private static final int DEFAULT_BATCH_SIZE = 1000; + + // the number of fields rows to read in a batch + private int batchSize; + // the configuration to read with + private Configuration conf; + // the schema of the ORC files to read + private TypeDescription schema; + + // the fields of the ORC schema that the returned Rows are composed of. + private int[] selectedFields; + // the type information of the Rows returned by this InputFormat. + private transient RowTypeInfo rowType; + + // the ORC reader + private transient RecordReader orcRowsReader; + // the vectorized row data to be read in a batch + private transient VectorizedRowBatch rowBatch; + // the vector of rows that is read in a batch + private transient Row[] rows; + + // the number of rows in the current batch + private transient int rowsInBatch; + // the index of the next row to return + private transient int nextRow; + + private ArrayList conjunctPredicates = new ArrayList<>(); + + /** + * Creates an OrcRowInputFormat. + * + * @param path The path to read ORC files from. + * @param schemaString The schema of the ORC files as String. + * @param orcConfig The configuration to read the ORC files with. + */ + public OrcRowInputFormat(String path, String schemaString, Configuration orcConfig) { + this(path, TypeDescription.fromString(schemaString), orcConfig, DEFAULT_BATCH_SIZE); + } + + /** + * Creates an OrcRowInputFormat. + * + * @param path The path to read ORC files from. + * @param schemaString The schema of the ORC files as String. + * @param orcConfig The configuration to read the ORC files with. + * @param batchSize The number of Row objects to read in a batch. + */ + public OrcRowInputFormat(String path, String schemaString, Configuration orcConfig, int batchSize) { + this(path, TypeDescription.fromString(schemaString), orcConfig, batchSize); + } + + /** + * Creates an OrcRowInputFormat. + * + * @param path The path to read ORC files from. + * @param orcSchema The schema of the ORC files as ORC TypeDescription. + * @param orcConfig The configuration to read the ORC files with. + * @param batchSize The number of Row objects to read in a batch. + */ + public OrcRowInputFormat(String path, TypeDescription orcSchema, Configuration orcConfig, int batchSize) { + super(new Path(path)); + + // configure OrcRowInputFormat + this.schema = orcSchema; + this.rowType = (RowTypeInfo) OrcUtils.schemaToTypeInfo(schema); + this.conf = orcConfig; + this.batchSize = batchSize; + + // set default selection mask, i.e., all fields. + this.selectedFields = new int[this.schema.getChildren().size()]; + for (int i = 0; i < selectedFields.length; i++) { + this.selectedFields[i] = i; + } + } + + /** + * Adds a filter predicate to reduce the number of rows to be returned by the input format. + * Multiple conjunctive predicates can be added by calling this method multiple times. + * + *

Note: Predicates can significantly reduce the amount of data that is read. + * However, the OrcRowInputFormat does not guarantee that all returned rows qualify the + * predicates. Moreover, predicates are only applied if the referenced field is among the + * selected fields. + * + * @param predicate The filter predicate. + */ + public void addPredicate(Predicate predicate) { + // validate + validatePredicate(predicate); + // add predicate + this.conjunctPredicates.add(predicate); + } + + private void validatePredicate(Predicate pred) { + if (pred instanceof ColumnPredicate) { + // check column name + String colName = ((ColumnPredicate) pred).columnName; + if (!this.schema.getFieldNames().contains(colName)) { + throw new IllegalArgumentException("Predicate cannot be applied. " + + "Column '" + colName + "' does not exist in ORC schema."); + } + } else if (pred instanceof Not) { + validatePredicate(((Not) pred).child()); + } else if (pred instanceof Or) { + for (Predicate p : ((Or) pred).children()) { + validatePredicate(p); + } + } + } + + /** + * Selects the fields from the ORC schema that are returned by InputFormat. + * + * @param selectedFields The indices of the fields of the ORC schema that are returned by the InputFormat. + */ + public void selectFields(int... selectedFields) { + // set field mapping + this.selectedFields = selectedFields; + // adapt result type + this.rowType = RowTypeInfo.projectFields(this.rowType, selectedFields); + } + + /** + * Computes the ORC projection mask of the fields to include from the selected fields.rowOrcInputFormat.nextRecord(null). + * + * @return The ORC projection mask. + */ + private boolean[] computeProjectionMask() { + // mask with all fields of the schema + boolean[] projectionMask = new boolean[schema.getMaximumId() + 1]; + // for each selected field + for (int inIdx : selectedFields) { + // set all nested fields of a selected field to true + TypeDescription fieldSchema = schema.getChildren().get(inIdx); + for (int i = fieldSchema.getId(); i <= fieldSchema.getMaximumId(); i++) { + projectionMask[i] = true; + } + } + return projectionMask; + } + + @Override + public void openInputFormat() throws IOException { + super.openInputFormat(); + // create and initialize the row batch + this.rows = new Row[batchSize]; + for (int i = 0; i < batchSize; i++) { + rows[i] = new Row(selectedFields.length); + } + } + + @Override + public void open(FileInputSplit fileSplit) throws IOException { + + LOG.debug("Opening ORC file {}", fileSplit.getPath()); + + // open ORC file and create reader + org.apache.hadoop.fs.Path hPath = new org.apache.hadoop.fs.Path(fileSplit.getPath().getPath()); + Reader orcReader = OrcFile.createReader(hPath, OrcFile.readerOptions(conf)); + + // get offset and length for the stripes that start in the split + Tuple2 offsetAndLength = getOffsetAndLengthForSplit(fileSplit, getStripes(orcReader)); + + // create ORC row reader configuration + Reader.Options options = getOptions(orcReader) + .schema(schema) + .range(offsetAndLength.f0, offsetAndLength.f1) + .useZeroCopy(OrcConf.USE_ZEROCOPY.getBoolean(conf)) + .skipCorruptRecords(OrcConf.SKIP_CORRUPT_DATA.getBoolean(conf)) + .tolerateMissingSchema(OrcConf.TOLERATE_MISSING_SCHEMA.getBoolean(conf)); + + // configure filters + if (!conjunctPredicates.isEmpty()) { + SearchArgument.Builder b = SearchArgumentFactory.newBuilder(); + b = b.startAnd(); + for (Predicate predicate : conjunctPredicates) { + predicate.add(b); + } + b = b.end(); + options.searchArgument(b.build(), new String[]{}); + } + + // configure selected fields + options.include(computeProjectionMask()); + + // create ORC row reader + this.orcRowsReader = orcReader.rows(options); + + // assign ids + this.schema.getId(); + // create row batch + this.rowBatch = schema.createRowBatch(batchSize); + rowsInBatch = 0; + nextRow = 0; + } + + @VisibleForTesting + Reader.Options getOptions(Reader orcReader) { + return orcReader.options(); + } + + @VisibleForTesting + List getStripes(Reader orcReader) { + return orcReader.getStripes(); + } + + private Tuple2 getOffsetAndLengthForSplit(FileInputSplit split, List stripes) { + long splitStart = split.getStart(); + long splitEnd = splitStart + split.getLength(); + + long readStart = Long.MAX_VALUE; + long readEnd = Long.MIN_VALUE; + + for (StripeInformation s : stripes) { + if (splitStart <= s.getOffset() && s.getOffset() < splitEnd) { + // stripe starts in split, so it is included + readStart = Math.min(readStart, s.getOffset()); + readEnd = Math.max(readEnd, s.getOffset() + s.getLength()); + } + } + + if (readStart < Long.MAX_VALUE) { + // at least one split is included + return Tuple2.of(readStart, readEnd - readStart); + } else { + return Tuple2.of(0L, 0L); + } + } + + @Override + public void close() throws IOException { + if (orcRowsReader != null) { + this.orcRowsReader.close(); + } + this.orcRowsReader = null; + } + + @Override + public void closeInputFormat() throws IOException { + this.rows = null; + this.rows = null; + this.schema = null; + this.rowBatch = null; + } + + @Override + public boolean reachedEnd() throws IOException { + return !ensureBatch(); + } + + /** + * Checks if there is at least one row left in the batch to return. + * If no more row are available, it reads another batch of rows. + * + * @return Returns true if there is one more row to return, false otherwise. + * @throws IOException throw if an exception happens while reading a batch. + */ + private boolean ensureBatch() throws IOException { + + if (nextRow >= rowsInBatch) { + // No more rows available in the Rows array. + nextRow = 0; + // Try to read the next batch if rows from the ORC file. + boolean moreRows = orcRowsReader.nextBatch(rowBatch); + + if (moreRows) { + // Load the data into the Rows array. + rowsInBatch = fillRows(rows, schema, rowBatch, selectedFields); + } + return moreRows; + } + // there is at least one Row left in the Rows array. + return true; + } + + @Override + public Row nextRecord(Row reuse) throws IOException { + // return the next row + return rows[this.nextRow++]; + } + + @Override + public TypeInformation getProducedType() { + return rowType; + } + + // -------------------------------------------------------------------------------------------- + // Custom serialization methods + // -------------------------------------------------------------------------------------------- + + private void writeObject(ObjectOutputStream out) throws IOException { + out.writeInt(batchSize); + this.conf.write(out); + out.writeUTF(schema.toString()); + + out.writeInt(selectedFields.length); + for (int f : selectedFields) { + out.writeInt(f); + } + + out.writeInt(conjunctPredicates.size()); + for (Predicate p : conjunctPredicates) { + out.writeObject(p); + } + } + + @SuppressWarnings("unchecked") + private void readObject(ObjectInputStream in) throws IOException, ClassNotFoundException { + batchSize = in.readInt(); + org.apache.hadoop.conf.Configuration configuration = new org.apache.hadoop.conf.Configuration(); + configuration.readFields(in); + + if (this.conf == null) { + this.conf = configuration; + } + this.schema = TypeDescription.fromString(in.readUTF()); + + this.selectedFields = new int[in.readInt()]; + for (int i = 0; i < selectedFields.length; i++) { + this.selectedFields[i] = in.readInt(); + } + + this.conjunctPredicates = new ArrayList<>(); + int numPreds = in.readInt(); + for (int i = 0; i < numPreds; i++) { + conjunctPredicates.add((Predicate) in.readObject()); + } + } + + // -------------------------------------------------------------------------------------------- + // Classes to define predicates + // -------------------------------------------------------------------------------------------- + + /** + * A filter predicate that can be evaluated by the OrcRowInputFormat. + */ + public abstract static class Predicate implements Serializable { + protected abstract SearchArgument.Builder add(SearchArgument.Builder builder); + } + + abstract static class ColumnPredicate extends Predicate { + final String columnName; + final PredicateLeaf.Type literalType; + + ColumnPredicate(String columnName, PredicateLeaf.Type literalType) { + this.columnName = columnName; + this.literalType = literalType; + } + + Object castLiteral(Serializable literal) { + + switch (literalType) { + case LONG: + if (literal instanceof Byte) { + return new Long((Byte) literal); + } else if (literal instanceof Short) { + return new Long((Short) literal); + } else if (literal instanceof Integer) { + return new Long((Integer) literal); + } else if (literal instanceof Long) { + return literal; + } else { + throw new IllegalArgumentException("A predicate on a LONG column requires an integer " + + "literal, i.e., Byte, Short, Integer, or Long."); + } + case FLOAT: + if (literal instanceof Float) { + return new Double((Float) literal); + } else if (literal instanceof Double) { + return literal; + } else if (literal instanceof BigDecimal) { + return ((BigDecimal) literal).doubleValue(); + } else { + throw new IllegalArgumentException("A predicate on a FLOAT column requires a floating " + + "literal, i.e., Float or Double."); + } + case STRING: + if (literal instanceof String) { + return literal; + } else { + throw new IllegalArgumentException("A predicate on a STRING column requires a floating " + + "literal, i.e., Float or Double."); + } + case BOOLEAN: + if (literal instanceof Boolean) { + return literal; + } else { + throw new IllegalArgumentException("A predicate on a BOOLEAN column requires a Boolean literal."); + } + case DATE: + if (literal instanceof Date) { + return literal; + } else { + throw new IllegalArgumentException("A predicate on a DATE column requires a java.sql.Date literal."); + } + case TIMESTAMP: + if (literal instanceof Timestamp) { + return literal; + } else { + throw new IllegalArgumentException("A predicate on a TIMESTAMP column requires a java.sql.Timestamp literal."); + } + case DECIMAL: + if (literal instanceof BigDecimal) { + return new HiveDecimalWritable(HiveDecimal.create((BigDecimal) literal)); + } else { + throw new IllegalArgumentException("A predicate on a DECIMAL column requires a BigDecimal literal."); + } + default: + throw new IllegalArgumentException("Unknown literal type " + literalType); + } + } + } + + abstract static class BinaryPredicate extends ColumnPredicate { + final Serializable literal; + + BinaryPredicate(String columnName, PredicateLeaf.Type literalType, Serializable literal) { + super(columnName, literalType); + this.literal = literal; + } + } + + /** + * An EQUALS predicate that can be evaluated by the OrcRowInputFormat. + */ + public static class Equals extends BinaryPredicate { + /** + * Creates an EQUALS predicate. + * + * @param columnName The column to check. + * @param literalType The type of the literal. + * @param literal The literal value to check the column against. + */ + public Equals(String columnName, PredicateLeaf.Type literalType, Serializable literal) { + super(columnName, literalType, literal); + } + + @Override + protected SearchArgument.Builder add(SearchArgument.Builder builder) { + return builder.equals(columnName, literalType, castLiteral(literal)); + } + + @Override + public String toString() { + return columnName + " = " + literal; + } + } + + /** + * An EQUALS predicate that can be evaluated with Null safety by the OrcRowInputFormat. + */ + public static class NullSafeEquals extends BinaryPredicate { + /** + * Creates a null-safe EQUALS predicate. + * + * @param columnName The column to check. + * @param literalType The type of the literal. + * @param literal The literal value to check the column against. + */ + public NullSafeEquals(String columnName, PredicateLeaf.Type literalType, Serializable literal) { + super(columnName, literalType, literal); + } + + @Override + protected SearchArgument.Builder add(SearchArgument.Builder builder) { + return builder.nullSafeEquals(columnName, literalType, castLiteral(literal)); + } + + @Override + public String toString() { + return columnName + " = " + literal; + } + } + + /** + * A LESS_THAN predicate that can be evaluated by the OrcRowInputFormat. + */ + public static class LessThan extends BinaryPredicate { + /** + * Creates a LESS_THAN predicate. + * + * @param columnName The column to check. + * @param literalType The type of the literal. + * @param literal The literal value to check the column against. + */ + public LessThan(String columnName, PredicateLeaf.Type literalType, Serializable literal) { + super(columnName, literalType, literal); + } + + @Override + protected SearchArgument.Builder add(SearchArgument.Builder builder) { + return builder.lessThan(columnName, literalType, castLiteral(literal)); + } + + @Override + public String toString() { + return columnName + " < " + literal; + } + } + + /** + * A LESS_THAN_EQUALS predicate that can be evaluated by the OrcRowInputFormat. + */ + public static class LessThanEquals extends BinaryPredicate { + /** + * Creates a LESS_THAN_EQUALS predicate. + * + * @param columnName The column to check. + * @param literalType The type of the literal. + * @param literal The literal value to check the column against. + */ + public LessThanEquals(String columnName, PredicateLeaf.Type literalType, Serializable literal) { + super(columnName, literalType, literal); + } + + @Override + protected SearchArgument.Builder add(SearchArgument.Builder builder) { + return builder.lessThanEquals(columnName, literalType, castLiteral(literal)); + } + + @Override + public String toString() { + return columnName + " <= " + literal; + } + } + + /** + * An IS_NULL predicate that can be evaluated by the OrcRowInputFormat. + */ + public static class IsNull extends ColumnPredicate { + /** + * Creates an IS_NULL predicate. + * + * @param columnName The column to check for null. + * @param literalType The type of the column to check for null. + */ + public IsNull(String columnName, PredicateLeaf.Type literalType) { + super(columnName, literalType); + } + + @Override + protected SearchArgument.Builder add(SearchArgument.Builder builder) { + return builder.isNull(columnName, literalType); + } + + @Override + public String toString() { + return columnName + " IS NULL"; + } + } + + /** + * An BETWEEN predicate that can be evaluated by the OrcRowInputFormat. + */ + public static class Between extends ColumnPredicate { + private Serializable lowerBound; + private Serializable upperBound; + + /** + * Creates an BETWEEN predicate. + * + * @param columnName The column to check. + * @param literalType The type of the literals. + * @param lowerBound The literal value of the (inclusive) lower bound to check the column against. + * @param upperBound The literal value of the (inclusive) upper bound to check the column against. + */ + public Between(String columnName, PredicateLeaf.Type literalType, Serializable lowerBound, Serializable upperBound) { + super(columnName, literalType); + this.lowerBound = lowerBound; + this.upperBound = upperBound; + } + + @Override + protected SearchArgument.Builder add(SearchArgument.Builder builder) { + return builder.between(columnName, literalType, castLiteral(lowerBound), castLiteral(upperBound)); + } + + @Override + public String toString() { + return lowerBound + " <= " + columnName + " <= " + upperBound; + } + } + + /** + * An IN predicate that can be evaluated by the OrcRowInputFormat. + */ + public static class In extends ColumnPredicate { + private Serializable[] literals; + + /** + * Creates an IN predicate. + * + * @param columnName The column to check. + * @param literalType The type of the literals. + * @param literals The literal values to check the column against. + */ + public In(String columnName, PredicateLeaf.Type literalType, Serializable... literals) { + super(columnName, literalType); + this.literals = literals; + } + + @Override + protected SearchArgument.Builder add(SearchArgument.Builder builder) { + Object[] castedLiterals = new Object[literals.length]; + for (int i = 0; i < literals.length; i++) { + castedLiterals[i] = castLiteral(literals[i]); + } + return builder.in(columnName, literalType, (Object[]) castedLiterals); + } + + @Override + public String toString() { + return columnName + " IN " + Arrays.toString(literals); + } + } + + /** + * A NOT predicate to negate a predicate that can be evaluated by the OrcRowInputFormat. + */ + public static class Not extends Predicate { + private final Predicate pred; + + /** + * Creates a NOT predicate. + * + * @param predicate The predicate to negate. + */ + public Not(Predicate predicate) { + this.pred = predicate; + } + + protected SearchArgument.Builder add(SearchArgument.Builder builder) { + return pred.add(builder.startNot()).end(); + } + + protected Predicate child() { + return pred; + } + + @Override + public String toString() { + return "NOT(" + pred.toString() + ")"; + } + } + + /** + * An OR predicate that can be evaluated by the OrcRowInputFormat. + */ + public static class Or extends Predicate { + private final Predicate[] preds; + + /** + * Creates an OR predicate. + * + * @param predicates The disjunctive predicates. + */ + public Or(Predicate... predicates) { + this.preds = predicates; + } + + @Override + protected SearchArgument.Builder add(SearchArgument.Builder builder) { + SearchArgument.Builder withOr = builder.startOr(); + for (Predicate p : preds) { + withOr = p.add(withOr); + } + return withOr.end(); + } + + protected Iterable children() { + return Arrays.asList(preds); + } + + @Override + public String toString() { + return "OR(" + Arrays.toString(preds) + ")"; + } + } +} diff --git a/flink-connectors/flink-orc/src/main/java/org/apache/flink/orc/OrcTableSource.java b/flink-connectors/flink-orc/src/main/java/org/apache/flink/orc/OrcTableSource.java index 0454ba45af16a..b7c537865764d 100644 --- a/flink-connectors/flink-orc/src/main/java/org/apache/flink/orc/OrcTableSource.java +++ b/flink-connectors/flink-orc/src/main/java/org/apache/flink/orc/OrcTableSource.java @@ -18,111 +18,474 @@ package org.apache.flink.orc; +import org.apache.flink.annotation.VisibleForTesting; +import org.apache.flink.api.common.typeinfo.BasicTypeInfo; +import org.apache.flink.api.common.typeinfo.SqlTimeTypeInfo; import org.apache.flink.api.common.typeinfo.TypeInformation; import org.apache.flink.api.java.DataSet; import org.apache.flink.api.java.ExecutionEnvironment; import org.apache.flink.api.java.typeutils.RowTypeInfo; +import org.apache.flink.orc.OrcRowInputFormat.Predicate; +import org.apache.flink.table.api.TableSchema; +import org.apache.flink.table.expressions.Attribute; +import org.apache.flink.table.expressions.BinaryComparison; +import org.apache.flink.table.expressions.EqualTo; +import org.apache.flink.table.expressions.Expression; +import org.apache.flink.table.expressions.GreaterThan; +import org.apache.flink.table.expressions.GreaterThanOrEqual; +import org.apache.flink.table.expressions.IsNotNull; +import org.apache.flink.table.expressions.IsNull; +import org.apache.flink.table.expressions.LessThan; +import org.apache.flink.table.expressions.LessThanOrEqual; +import org.apache.flink.table.expressions.Literal; +import org.apache.flink.table.expressions.Not; +import org.apache.flink.table.expressions.NotEqualTo; +import org.apache.flink.table.expressions.Or; +import org.apache.flink.table.expressions.UnaryExpression; import org.apache.flink.table.sources.BatchTableSource; +import org.apache.flink.table.sources.FilterableTableSource; import org.apache.flink.table.sources.ProjectableTableSource; import org.apache.flink.table.sources.TableSource; import org.apache.flink.types.Row; +import org.apache.flink.util.Preconditions; import org.apache.hadoop.conf.Configuration; +import org.apache.hadoop.hive.ql.io.sarg.PredicateLeaf; import org.apache.orc.TypeDescription; +import java.io.Serializable; +import java.util.ArrayList; +import java.util.Arrays; +import java.util.List; + /** - * Creates a TableSource to read ORC file. + * A TableSource to read ORC files. * - *

The ORC file path and schema is passed during {@link OrcTableSource} construction. configuration is optional. + *

The {@link OrcTableSource} supports projection and filter push-down.

* - *

The OrcTableSource is used as shown in the example below. + *

An {@link OrcTableSource} is used as shown in the example below. * * 

  * {@code
- * String path = testInputURL.getPath();
- * String schema = "struct"
- * OrcTableSource orcSrc = new OrcTableSource(path, schema);
+ * OrcTableSource orcSrc = OrcTableSource.builder()
+ *   .path("file:///my/data/file.orc")
+ *   .forOrcSchema("struct")
+ *   .build();
+ *
  * tEnv.registerTableSource("orcTable", orcSrc);
  * Table res = tableEnv.sql("SELECT * FROM orcTable");
  * }
  *
*/ -public class OrcTableSource implements BatchTableSource, ProjectableTableSource { +public class OrcTableSource + implements BatchTableSource, ProjectableTableSource, FilterableTableSource { - private String path; - private TypeDescription orcSchema; - private RowTypeInfo typeInfo; - private Configuration orcConfig; - private int[] fieldMapping; + private static final int DEFAULT_BATCH_SIZE = 1000; - /** - * The ORC file path and schema. - * - * @param path the path of orc file - * @param orcSchema schema of orc file - */ - public OrcTableSource(String path, String orcSchema) { - this(path, orcSchema, new Configuration()); - } + // path to read ORC files from + private final String path; + // schema of the ORC file + private final TypeDescription orcSchema; + // the schema of the Table + private final TableSchema tableSchema; + // the configuration to read the file + private final Configuration orcConfig; + // the number of rows to read in a batch + private final int batchSize; + + // type information of the data returned by the InputFormat + private final RowTypeInfo typeInfo; + // list of selected ORC fields to return + private final int[] selectedFields; + // list of predicates to apply + private final Predicate[] predicates; /** - * The file path and schema of orc file, and configuration to read orc file . + * Creates an OrcTableSouce from an ORC TypeDescription. * - * @param path the path of orc file - * @param orcSchema schema of orc file - * @param orcConfig configuration to read orc file + * @param path The path to read the ORC files from. + * @param orcSchema The schema of the ORC files as TypeDescription. + * @param orcConfig The configuration to read the ORC files. + * @param batchSize The number of Rows to read in a batch, default is 1000. */ - public OrcTableSource(String path, String orcSchema, Configuration orcConfig) { - this(path, TypeDescription.fromString(orcSchema), orcConfig); + private OrcTableSource(String path, TypeDescription orcSchema, Configuration orcConfig, int batchSize) { + this(path, orcSchema, orcConfig, batchSize, null, null); } - public OrcTableSource(String path, TypeDescription orcSchema, Configuration orcConfig) { + private OrcTableSource(String path, TypeDescription orcSchema, Configuration orcConfig, + int batchSize, int[] selectedFields, Predicate[] predicates) { + + Preconditions.checkNotNull(path, "Path must not be null."); + Preconditions.checkNotNull(orcSchema, "OrcSchema must not be null."); + Preconditions.checkNotNull(path, "Configuration must not be null."); + Preconditions.checkArgument(batchSize > 0, "Batch size must be larger than null."); this.path = path; this.orcSchema = orcSchema; this.orcConfig = orcConfig; + this.batchSize = batchSize; + this.selectedFields = selectedFields; + this.predicates = predicates; - this.typeInfo = (RowTypeInfo) OrcUtils.schemaToTypeInfo(this.orcSchema); + // determine the type information from the ORC schema + RowTypeInfo typeInfoFromSchema = (RowTypeInfo) OrcUtils.schemaToTypeInfo(this.orcSchema); + + // set return type info + if (selectedFields == null) { + this.typeInfo = typeInfoFromSchema; + } else { + this.typeInfo = RowTypeInfo.projectFields(typeInfoFromSchema, selectedFields); + } + // create a TableSchema that corresponds to the ORC schema + this.tableSchema = new TableSchema( + typeInfoFromSchema.getFieldNames(), + typeInfoFromSchema.getFieldTypes() + ); } @Override public DataSet getDataSet(ExecutionEnvironment execEnv) { - - RowOrcInputFormat orcIF = new RowOrcInputFormat(path, orcSchema, orcConfig); - if (fieldMapping != null) { - orcIF.setFieldMapping(fieldMapping); + OrcRowInputFormat orcIF = buildOrcInputFormat(); + if (selectedFields != null) { + orcIF.selectFields(selectedFields); + } + if (predicates != null) { + for (OrcRowInputFormat.Predicate pred : predicates) { + orcIF.addPredicate(pred); + } } return execEnv.createInput(orcIF); } + @VisibleForTesting + protected OrcRowInputFormat buildOrcInputFormat() { + return new OrcRowInputFormat(path, orcSchema, orcConfig, batchSize); + } + @Override public TypeInformation getReturnType() { return typeInfo; } @Override - public TableSource projectFields(int[] fields) { + public TableSchema getTableSchema() { + return this.tableSchema; + } - OrcTableSource copy = new OrcTableSource(path, orcSchema, orcConfig); + @Override + public TableSource projectFields(int[] selectedFields) { + // create a copy of the OrcTableSouce with new selected fields + return new OrcTableSource(path, orcSchema, orcConfig, batchSize, selectedFields, predicates); + } - // set field mapping - copy.fieldMapping = fields; + @Override + public TableSource applyPredicate(List predicates) { + ArrayList orcPredicates = new ArrayList<>(); - // adapt TypeInfo - TypeInformation[] fieldTypes = new TypeInformation[fields.length]; - String[] fieldNames = new String[fields.length]; - for (int i = 0; i < fields.length; i++) { - fieldTypes[i] = this.typeInfo.getTypeAt(fields[i]); - fieldNames[i] = this.typeInfo.getFieldNames()[fields[i]]; + // we do not remove any predicates from the list because ORC does not fully apply predicates + for (Expression pred : predicates) { + Predicate orcPred = toOrcPredicate(pred); + if (orcPred != null) { + orcPredicates.add(orcPred); + } } - copy.typeInfo = new RowTypeInfo(fieldTypes, fieldNames); - return copy; + return new OrcTableSource(path, orcSchema, orcConfig, batchSize, selectedFields, orcPredicates.toArray(new Predicate[]{})); + } + + @Override + public boolean isFilterPushedDown() { + return this.predicates != null; } @Override public String explainSource() { - return "ORC Source file at path " + this.path + " with schema " + this.orcSchema; + return "OrcFile[path=" + path + ", schema=" + orcSchema + ", filter=" + predicateString() + "]"; + } + + private String predicateString() { + if (predicates != null) { + return "AND(" + Arrays.toString(predicates) + ")"; + } else { + return "TRUE"; + } + } + + // Predicate conversion for filter push-down. + + private Predicate toOrcPredicate(Expression pred) { + if (pred instanceof Or) { + Predicate c1 = toOrcPredicate(((Or) pred).left()); + Predicate c2 = toOrcPredicate(((Or) pred).right()); + if (c1 == null || c2 == null) { + return null; + } else { + return new OrcRowInputFormat.Or(c1, c2); + } + } else if (pred instanceof Not) { + Predicate c = toOrcPredicate(((Not) pred).child()); + if (c == null) { + return null; + } else { + return new OrcRowInputFormat.Not(c); + } + } else if (pred instanceof BinaryComparison) { + + BinaryComparison binComp = (BinaryComparison) pred; + + if (!isValid(binComp)) { + // not a valid predicate + return null; + } + PredicateLeaf.Type litType = getLiteralType(binComp); + if (litType == null) { + // unsupported literal type + return null; + } + + boolean literalOnRight = literalOnRight(binComp); + String colName = getColumnName(binComp); + Serializable literal = (Serializable) getLiteral(binComp); + + if (pred instanceof EqualTo) { + return new OrcRowInputFormat.Equals(colName, litType, literal); + } else if (pred instanceof NotEqualTo) { + return new OrcRowInputFormat.Not( + new OrcRowInputFormat.Equals(colName, litType, literal)); + } else if (pred instanceof GreaterThan) { + if (literalOnRight) { + return new OrcRowInputFormat.Not( + new OrcRowInputFormat.LessThanEquals(colName, litType, literal)); + } else { + return new OrcRowInputFormat.LessThan(colName, litType, literal); + } + } else if (pred instanceof GreaterThanOrEqual) { + if (literalOnRight) { + return new OrcRowInputFormat.Not( + new OrcRowInputFormat.LessThan(colName, litType, literal)); + } else { + return new OrcRowInputFormat.LessThanEquals(colName, litType, literal); + } + } else if (pred instanceof LessThan) { + if (literalOnRight) { + return new OrcRowInputFormat.LessThan(colName, litType, literal); + } else { + return new OrcRowInputFormat.Not( + new OrcRowInputFormat.LessThanEquals(colName, litType, literal)); + } + } else if (pred instanceof LessThanOrEqual) { + if (literalOnRight) { + return new OrcRowInputFormat.LessThanEquals(colName, litType, literal); + } else { + return new OrcRowInputFormat.Not( + new OrcRowInputFormat.LessThan(colName, litType, literal)); + } + } else { + // unsupported predicate + return null; + } + } else if (pred instanceof UnaryExpression) { + + UnaryExpression unary = (UnaryExpression) pred; + if (!isValid(unary)) { + // not a valid predicate + return null; + } + PredicateLeaf.Type colType = toOrcType(((UnaryExpression) pred).child().resultType()); + if (colType == null) { + // unsupported type + return null; + } + + String colName = getColumnName(unary); + + if (pred instanceof IsNull) { + return new OrcRowInputFormat.IsNull(colName, colType); + } else if (pred instanceof IsNotNull) { + return new OrcRowInputFormat.Not( + new OrcRowInputFormat.IsNull(colName, colType)); + } else { + // unsupported predicate + return null; + } + } else { + // unsupported predicate + return null; + } + } + + private boolean isValid(UnaryExpression unary) { + return unary.child() instanceof Attribute; + } + + private boolean isValid(BinaryComparison comp) { + return (comp.left() instanceof Literal && comp.right() instanceof Attribute) || + (comp.left() instanceof Attribute && comp.right() instanceof Literal); + } + + private boolean literalOnRight(BinaryComparison comp) { + if (comp.left() instanceof Literal && comp.right() instanceof Attribute) { + return false; + } else if (comp.left() instanceof Attribute && comp.right() instanceof Literal) { + return true; + } else { + throw new RuntimeException("Invalid binary comparison."); + } + } + + private String getColumnName(UnaryExpression unary) { + return ((Attribute) unary.child()).name(); + } + + private String getColumnName(BinaryComparison comp) { + if (literalOnRight(comp)) { + return ((Attribute) comp.left()).name(); + } else { + return ((Attribute) comp.right()).name(); + } + } + + private PredicateLeaf.Type getLiteralType(BinaryComparison comp) { + if (literalOnRight(comp)) { + return toOrcType(((Literal) comp.right()).resultType()); + } else { + return toOrcType(((Literal) comp.left()).resultType()); + } + } + + private Object getLiteral(BinaryComparison comp) { + if (literalOnRight(comp)) { + return ((Literal) comp.right()).value(); + } else { + return ((Literal) comp.left()).value(); + } + } + + private PredicateLeaf.Type toOrcType(TypeInformation type) { + if (type == BasicTypeInfo.BYTE_TYPE_INFO || + type == BasicTypeInfo.SHORT_TYPE_INFO || + type == BasicTypeInfo.INT_TYPE_INFO || + type == BasicTypeInfo.LONG_TYPE_INFO) { + return PredicateLeaf.Type.LONG; + } else if (type == BasicTypeInfo.FLOAT_TYPE_INFO || + type == BasicTypeInfo.DOUBLE_TYPE_INFO) { + return PredicateLeaf.Type.FLOAT; + } else if (type == BasicTypeInfo.BOOLEAN_TYPE_INFO) { + return PredicateLeaf.Type.BOOLEAN; + } else if (type == BasicTypeInfo.STRING_TYPE_INFO) { + return PredicateLeaf.Type.STRING; + } else if (type == SqlTimeTypeInfo.TIMESTAMP) { + return PredicateLeaf.Type.TIMESTAMP; + } else if (type == SqlTimeTypeInfo.DATE) { + return PredicateLeaf.Type.DATE; + } else if (type == BasicTypeInfo.BIG_DEC_TYPE_INFO) { + return PredicateLeaf.Type.DECIMAL; + } else { + // unsupported type + return null; + } + } + + // Builder + + public static Builder builder() { + return new Builder(); + } + + /** + * Constructs an {@link OrcTableSource}. + */ + public static class Builder { + + private String path; + + private TypeDescription schema; + + private Configuration config; + + private int batchSize = 0; + + /** + * Sets the path of the ORC file(s). + * + * @param path The path of the ORC file(s). + * @return The builder. + */ + public Builder path(String path) { + Preconditions.checkNotNull(path, "Path must not be null."); + Preconditions.checkArgument(!path.isEmpty(), "Path must not be empty."); + this.path = path; + return this; + } + + /** + * Sets the ORC schema of the files to read as a String. + * + * @param orcSchema The ORC schema of the files to read as a String. + * @return The builder. + */ + public Builder forOrcSchema(String orcSchema) { + Preconditions.checkNotNull(orcSchema, "ORC schema must not be null."); + this.schema = TypeDescription.fromString(orcSchema); + return this; + } + + /** + * Sets the ORC schema of the files to read as a {@link TypeDescription}. + * + * @param orcSchema The ORC schema of the files to read as a String. + * @return The builder. + */ + public Builder forOrcSchema(TypeDescription orcSchema) { + Preconditions.checkNotNull(orcSchema, "ORC Schema must not be null."); + this.schema = orcSchema; + return this; + } + + /** + * Sets a Hadoop {@link Configuration} for the ORC reader. If no configuration is configured, + * an empty configuration is used. + * + * @param config The Hadoop Configuration for the ORC reader. + * @return The builder. + */ + public Builder withConfiguration(Configuration config) { + Preconditions.checkNotNull(config, "Configuration must not be null."); + this.config = config; + return this; + } + + /** + * Sets the number of rows that are read in a batch. If not configured, the ORC files are + * read with a batch size of 1000. + * + * @param batchSize The number of rows that are read in a batch. + * @return The builder. + */ + public Builder withBatchSize(int batchSize) { + Preconditions.checkArgument(batchSize > 0, "Batch size must be greater than zero."); + this.batchSize = batchSize; + return this; + } + + /** + * Builds the OrcTableSource for this builder. + * + * @return The OrcTableSource for this builder. + */ + public OrcTableSource build() { + Preconditions.checkNotNull(this.path, "Path must not be null."); + Preconditions.checkNotNull(this.schema, "ORC schema must not be null."); + if (this.config == null) { + this.config = new Configuration(); + } + if (this.batchSize == 0) { + // set default batch size + this.batchSize = DEFAULT_BATCH_SIZE; + } + return new OrcTableSource(this.path, this.schema, this.config, this.batchSize); + } + } } diff --git a/flink-connectors/flink-orc/src/main/java/org/apache/flink/orc/OrcUtils.java b/flink-connectors/flink-orc/src/main/java/org/apache/flink/orc/OrcUtils.java index c7557c7477be1..cfb4e0e66a818 100644 --- a/flink-connectors/flink-orc/src/main/java/org/apache/flink/orc/OrcUtils.java +++ b/flink-connectors/flink-orc/src/main/java/org/apache/flink/orc/OrcUtils.java @@ -39,29 +39,36 @@ import org.apache.hadoop.hive.ql.exec.vector.TimestampColumnVector; import org.apache.hadoop.hive.ql.exec.vector.VectorizedRowBatch; import org.apache.hadoop.hive.serde2.io.HiveDecimalWritable; - import org.apache.orc.TypeDescription; import java.lang.reflect.Array; import java.math.BigDecimal; +import java.nio.charset.StandardCharsets; import java.sql.Date; import java.sql.Timestamp; import java.util.Arrays; import java.util.HashMap; import java.util.List; +import java.util.TimeZone; +import java.util.function.DoubleFunction; +import java.util.function.IntFunction; +import java.util.function.LongFunction; /** * A class that provides utility methods for orc file reading. */ -public class OrcUtils { +class OrcUtils { + + private static final long MILLIS_PER_DAY = 86400000; // = 24 * 60 * 60 * 1000 + private static final TimeZone LOCAL_TZ = TimeZone.getDefault(); /** - * Convert ORC schema types to Flink types. - * - * @param schema schema of orc file + * Converts an ORC schema to a Flink TypeInformation. * + * @param schema The ORC schema. + * @return The TypeInformation that corresponds to the ORC schema. */ - public static TypeInformation schemaToTypeInfo(TypeDescription schema) { + static TypeInformation schemaToTypeInfo(TypeDescription schema) { switch (schema.getCategory()) { case BOOLEAN: return BasicTypeInfo.BOOLEAN_TYPE_INFO; @@ -77,6 +84,8 @@ public static TypeInformation schemaToTypeInfo(TypeDescription schema) { return BasicTypeInfo.FLOAT_TYPE_INFO; case DOUBLE: return BasicTypeInfo.DOUBLE_TYPE_INFO; + case DECIMAL: + return BasicTypeInfo.BIG_DEC_TYPE_INFO; case STRING: case CHAR: case VARCHAR: @@ -97,154 +106,164 @@ public static TypeInformation schemaToTypeInfo(TypeDescription schema) { return new RowTypeInfo(fieldTypes, fieldNames); case LIST: TypeDescription elementSchema = schema.getChildren().get(0); - TypeInformation elementType = schemaToTypeInfo(elementSchema); + TypeInformation elementType = schemaToTypeInfo(elementSchema); + // arrays of primitive types are handled as object arrays to support null values return ObjectArrayTypeInfo.getInfoFor(elementType); case MAP: TypeDescription keySchema = schema.getChildren().get(0); TypeDescription valSchema = schema.getChildren().get(1); - TypeInformation keyType = schemaToTypeInfo(keySchema); - TypeInformation valType = schemaToTypeInfo(valSchema); - return new MapTypeInfo(keyType, valType); - case DECIMAL: - return BasicTypeInfo.BIG_DEC_TYPE_INFO; + TypeInformation keyType = schemaToTypeInfo(keySchema); + TypeInformation valType = schemaToTypeInfo(valSchema); + return new MapTypeInfo<>(keyType, valType); case UNION: - throw new UnsupportedOperationException("UNION type not supported yet."); + throw new UnsupportedOperationException("UNION type is not supported yet."); default: throw new IllegalArgumentException("Unknown type " + schema); } } /** - * Fill rows from orc batch. - * - * @param rows the batch of rows need to be filled - * @param schema schema of orc file - * @param batch current orc batch data used to fill the rows - * @param fieldMapping field mapping + * Fills an ORC batch into an array of Row. * + * @param rows The batch of rows need to be filled. + * @param schema The schema of the ORC data. + * @param batch The ORC data. + * @param selectedFields The list of selected ORC fields. + * @return The number of rows that were filled. */ - public static void fillRows(Object[] rows, TypeDescription schema, VectorizedRowBatch batch, int[] fieldMapping) { + static int fillRows(Row[] rows, TypeDescription schema, VectorizedRowBatch batch, int[] selectedFields) { - int totalRowsInBatch = (int) batch.count(); + int rowsToRead = Math.min((int) batch.count(), rows.length); List fieldTypes = schema.getChildren(); - for (int outIdx = 0; outIdx < fieldMapping.length; outIdx++) { - int inIdx = fieldMapping[outIdx]; - readField(rows, outIdx, fieldTypes.get(inIdx), batch.cols[inIdx], null, Math.min((int) totalRowsInBatch, rows.length)); + // read each selected field + for (int rowIdx = 0; rowIdx < selectedFields.length; rowIdx++) { + int orcIdx = selectedFields[rowIdx]; + readField(rows, rowIdx, fieldTypes.get(orcIdx), batch.cols[orcIdx], null, rowsToRead); } + return rowsToRead; } - private static void readField(Object[] rows, int fieldIdx, TypeDescription schema, ColumnVector vector, long[] lengthVector, int childCount) { + /** + * Reads a vector of data into an array of objects. + * + * @param vals The array that needs to be filled. + * @param fieldIdx If the vals array is an array of Row, the index of the field that needs to be filled. + * Otherwise a -1 must be passed and the data is directly filled into the array. + * @param schema The schema of the vector to read. + * @param vector The vector to read. + * @param lengthVector If the vector is of type List or Map, the number of sub-elements to read for each field. Otherwise, it must be null. + * @param childCount The number of vector entries to read. + */ + private static void readField(Object[] vals, int fieldIdx, TypeDescription schema, ColumnVector vector, long[] lengthVector, int childCount) { + // check the type of the vector to decide how to read it. switch (schema.getCategory()) { case BOOLEAN: if (vector.noNulls) { - readNonNullBooleanColumn(rows, fieldIdx, (LongColumnVector) vector, lengthVector, childCount); + readNonNullLongColumn(vals, fieldIdx, (LongColumnVector) vector, lengthVector, childCount, OrcUtils::readBoolean, OrcUtils::boolArray); } else { - readBooleanColumn(rows, fieldIdx, (LongColumnVector) vector, lengthVector, childCount); + readLongColumn(vals, fieldIdx, (LongColumnVector) vector, lengthVector, childCount, OrcUtils::readBoolean, OrcUtils::boolArray); } break; case BYTE: if (vector.noNulls) { - readNonNullByteColumn(rows, fieldIdx, (LongColumnVector) vector, lengthVector, childCount); + readNonNullLongColumn(vals, fieldIdx, (LongColumnVector) vector, lengthVector, childCount, OrcUtils::readByte, OrcUtils::byteArray); } else { - readByteColumn(rows, fieldIdx, (LongColumnVector) vector, lengthVector, childCount); + readLongColumn(vals, fieldIdx, (LongColumnVector) vector, lengthVector, childCount, OrcUtils::readByte, OrcUtils::byteArray); } break; case SHORT: if (vector.noNulls) { - readNonNullShortColumn(rows, fieldIdx, (LongColumnVector) vector, lengthVector, childCount); + readNonNullLongColumn(vals, fieldIdx, (LongColumnVector) vector, lengthVector, childCount, OrcUtils::readShort, OrcUtils::shortArray); } else { - readShortColumn(rows, fieldIdx, (LongColumnVector) vector, lengthVector, childCount); + readLongColumn(vals, fieldIdx, (LongColumnVector) vector, lengthVector, childCount, OrcUtils::readShort, OrcUtils::shortArray); } break; case INT: if (vector.noNulls) { - readNonNullIntColumn(rows, fieldIdx, (LongColumnVector) vector, lengthVector, childCount); + readNonNullLongColumn(vals, fieldIdx, (LongColumnVector) vector, lengthVector, childCount, OrcUtils::readInt, OrcUtils::intArray); } else { - readIntColumn(rows, fieldIdx, (LongColumnVector) vector, lengthVector, childCount); + readLongColumn(vals, fieldIdx, (LongColumnVector) vector, lengthVector, childCount, OrcUtils::readInt, OrcUtils::intArray); } break; case LONG: if (vector.noNulls) { - readNonNullLongColumn(rows, fieldIdx, (LongColumnVector) vector, lengthVector, childCount); + readNonNullLongColumn(vals, fieldIdx, (LongColumnVector) vector, lengthVector, childCount, OrcUtils::readLong, OrcUtils::longArray); } else { - readLongColumn(rows, fieldIdx, (LongColumnVector) vector, lengthVector, childCount); + readLongColumn(vals, fieldIdx, (LongColumnVector) vector, lengthVector, childCount, OrcUtils::readLong, OrcUtils::longArray); } break; case FLOAT: if (vector.noNulls) { - readNonNullFloatColumn(rows, fieldIdx, (DoubleColumnVector) vector, lengthVector, childCount); + readNonNullDoubleColumn(vals, fieldIdx, (DoubleColumnVector) vector, lengthVector, childCount, OrcUtils::readFloat, OrcUtils::floatArray); } else { - readFloatColumn(rows, fieldIdx, (DoubleColumnVector) vector, lengthVector, childCount); + readDoubleColumn(vals, fieldIdx, (DoubleColumnVector) vector, lengthVector, childCount, OrcUtils::readFloat, OrcUtils::floatArray); } break; case DOUBLE: if (vector.noNulls) { - readNonNullDoubleColumn(rows, fieldIdx, (DoubleColumnVector) vector, lengthVector, childCount); + readNonNullDoubleColumn(vals, fieldIdx, (DoubleColumnVector) vector, lengthVector, childCount, OrcUtils::readDouble, OrcUtils::doubleArray); } else { - readDoubleColumn(rows, fieldIdx, (DoubleColumnVector) vector, lengthVector, childCount); + readDoubleColumn(vals, fieldIdx, (DoubleColumnVector) vector, lengthVector, childCount, OrcUtils::readDouble, OrcUtils::doubleArray); } break; case CHAR: case VARCHAR: case STRING: if (vector.noNulls) { - readNonNullStringColumn(rows, fieldIdx, (BytesColumnVector) vector, lengthVector, childCount); + readNonNullBytesColumnAsString(vals, fieldIdx, (BytesColumnVector) vector, lengthVector, childCount); } else { - readStringColumn(rows, fieldIdx, (BytesColumnVector) vector, lengthVector, childCount); + readBytesColumnAsString(vals, fieldIdx, (BytesColumnVector) vector, lengthVector, childCount); } break; case DATE: if (vector.noNulls) { - readNonNullDateColumn(rows, fieldIdx, (LongColumnVector) vector, lengthVector, childCount); + readNonNullLongColumnAsDate(vals, fieldIdx, (LongColumnVector) vector, lengthVector, childCount); } else { - readDateColumn(rows, fieldIdx, (LongColumnVector) vector, lengthVector, childCount); + readLongColumnAsDate(vals, fieldIdx, (LongColumnVector) vector, lengthVector, childCount); } break; case TIMESTAMP: if (vector.noNulls) { - readNonNullTimestampColumn(rows, fieldIdx, (TimestampColumnVector) vector, lengthVector, childCount); + readNonNullTimestampColumn(vals, fieldIdx, (TimestampColumnVector) vector, lengthVector, childCount); } else { - readTimestampColumn(rows, fieldIdx, (TimestampColumnVector) vector, lengthVector, childCount); + readTimestampColumn(vals, fieldIdx, (TimestampColumnVector) vector, lengthVector, childCount); } break; case BINARY: if (vector.noNulls) { - readNonNullBinaryColumn(rows, fieldIdx, (BytesColumnVector) vector, lengthVector, childCount); + readNonNullBytesColumnAsBinary(vals, fieldIdx, (BytesColumnVector) vector, lengthVector, childCount); } else { - readBinaryColumn(rows, fieldIdx, (BytesColumnVector) vector, lengthVector, childCount); + readBytesColumnAsBinary(vals, fieldIdx, (BytesColumnVector) vector, lengthVector, childCount); } break; case DECIMAL: if (vector.noNulls) { - readNonNullDecimalColumn(rows, fieldIdx, (DecimalColumnVector) vector, lengthVector, childCount); - } - else { - readDecimalColumn(rows, fieldIdx, (DecimalColumnVector) vector, lengthVector, childCount); + readNonNullDecimalColumn(vals, fieldIdx, (DecimalColumnVector) vector, lengthVector, childCount); + } else { + readDecimalColumn(vals, fieldIdx, (DecimalColumnVector) vector, lengthVector, childCount); } break; case STRUCT: if (vector.noNulls) { - readNonNullStructColumn(rows, fieldIdx, (StructColumnVector) vector, schema, lengthVector, childCount); + readNonNullStructColumn(vals, fieldIdx, (StructColumnVector) vector, schema, lengthVector, childCount); } else { - readStructColumn(rows, fieldIdx, (StructColumnVector) vector, schema, lengthVector, childCount); + readStructColumn(vals, fieldIdx, (StructColumnVector) vector, schema, lengthVector, childCount); } break; case LIST: if (vector.noNulls) { - readNonNullListColumn(rows, fieldIdx, (ListColumnVector) vector, schema, lengthVector, childCount); - } - else { - readListColumn(rows, fieldIdx, (ListColumnVector) vector, schema, lengthVector, childCount); + readNonNullListColumn(vals, fieldIdx, (ListColumnVector) vector, schema, lengthVector, childCount); + } else { + readListColumn(vals, fieldIdx, (ListColumnVector) vector, schema, lengthVector, childCount); } break; case MAP: if (vector.noNulls) { - readNonNullMapColumn(rows, fieldIdx, (MapColumnVector) vector, schema, lengthVector, childCount); - } - else { - readMapColumn(rows, fieldIdx, (MapColumnVector) vector, schema, lengthVector, childCount); + readNonNullMapColumn(vals, fieldIdx, (MapColumnVector) vector, schema, lengthVector, childCount); + } else { + readMapColumn(vals, fieldIdx, (MapColumnVector) vector, schema, lengthVector, childCount); } break; case UNION: @@ -254,1870 +273,1013 @@ private static void readField(Object[] rows, int fieldIdx, TypeDescription schem } } - private static void readNonNullBooleanColumn(Object[] rows, int fieldIdx, LongColumnVector vector, long[] lengthVector, int childCount) { + private static void readNonNullLongColumn(Object[] vals, int fieldIdx, LongColumnVector vector, long[] lengthVector, int childCount, + LongFunction reader, IntFunction array) { - // check if boolean is directly in a list or not, e.g, array + // check if the values need to be read into lists or as single values if (lengthVector == null) { if (vector.isRepeating) { // fill complete column with first value - boolean repeatingValue = vector.vector[0] != 0; - fillColumnWithRepeatingValue(rows, fieldIdx, repeatingValue, childCount); + T repeatingValue = reader.apply(vector.vector[0]); + fillColumnWithRepeatingValue(vals, fieldIdx, repeatingValue, childCount); } else { if (fieldIdx == -1) { // set as an object for (int i = 0; i < childCount; i++) { - rows[i] = vector.vector[i] != 0; + vals[i] = reader.apply(vector.vector[i]); } } else { // set as a field of Row + Row[] rows = (Row[]) vals; for (int i = 0; i < childCount; i++) { - ((Row) rows[i]).setField(fieldIdx, vector.vector[i] != 0); + rows[i].setField(fieldIdx, reader.apply(vector.vector[i])); } } } } else { // in a list - boolean[] temp; + T[] temp; int offset = 0; if (vector.isRepeating) { // fill complete list with first value - boolean repeatingValue = vector.vector[0] != 0; - if (fieldIdx == -1) { // set list as an object - for (int i = 0; offset < childCount; i++) { - temp = new boolean[(int) lengthVector[i]]; - Arrays.fill(temp, repeatingValue); - rows[i] = temp; - offset += temp.length; - } - } else { // set list as a field of Row - for (int i = 0; offset < childCount; i++) { - temp = new boolean[(int) lengthVector[i]]; - Arrays.fill(temp, repeatingValue); - ((Row) rows[i]).setField(fieldIdx, temp); - offset += temp.length; + T repeatingValue = reader.apply(vector.vector[0]); + for (int i = 0; offset < childCount; i++) { + temp = array.apply((int) lengthVector[i]); + Arrays.fill(temp, repeatingValue); + offset += temp.length; + if (fieldIdx == -1) { + vals[i] = temp; + } else { + ((Row) vals[i]).setField(fieldIdx, temp); } } } else { - if (fieldIdx == -1) { // set list as an object - for (int i = 0; offset < childCount; i++) { - temp = new boolean[(int) lengthVector[i]]; - for (int j = 0; j < temp.length; j++) { - temp[j] = vector.vector[offset++] != 0; - } - rows[i] = temp; + for (int i = 0; offset < childCount; i++) { + temp = array.apply((int) lengthVector[i]); + for (int j = 0; j < temp.length; j++) { + temp[j] = reader.apply(vector.vector[offset++]); } - } else { // set list as a field of Row - for (int i = 0; offset < childCount; i++) { - temp = new boolean[(int) lengthVector[i]]; - for (int j = 0; j < temp.length; j++) { - temp[j] = vector.vector[offset++] != 0; - } - ((Row) rows[i]).setField(fieldIdx, temp); + if (fieldIdx == -1) { + vals[i] = temp; + } else { + ((Row) vals[i]).setField(fieldIdx, temp); } } } } } - private static void readNonNullByteColumn(Object[] rows, int fieldIdx, LongColumnVector vector, long[] lengthVector, int childCount) { + private static void readNonNullDoubleColumn(Object[] vals, int fieldIdx, DoubleColumnVector vector, long[] lengthVector, int childCount, + DoubleFunction reader, IntFunction array) { - // check if byte is directly in a list or not, e.g, array + // check if the values need to be read into lists or as single values if (lengthVector == null) { if (vector.isRepeating) { // fill complete column with first value - byte repeatingValue = (byte) vector.vector[0]; - fillColumnWithRepeatingValue(rows, fieldIdx, repeatingValue, childCount); + T repeatingValue = reader.apply(vector.vector[0]); + fillColumnWithRepeatingValue(vals, fieldIdx, repeatingValue, childCount); } else { if (fieldIdx == -1) { // set as an object for (int i = 0; i < childCount; i++) { - rows[i] = (byte) vector.vector[i]; + vals[i] = reader.apply(vector.vector[i]); } } else { // set as a field of Row + Row[] rows = (Row[]) vals; for (int i = 0; i < childCount; i++) { - ((Row) rows[i]).setField(fieldIdx, (byte) vector.vector[i]); + rows[i].setField(fieldIdx, reader.apply(vector.vector[i])); } } } } else { // in a list - byte[] temp; + T[] temp; int offset = 0; if (vector.isRepeating) { // fill complete list with first value - byte repeatingValue = (byte) vector.vector[0]; - if (fieldIdx == -1) { // set list as an object - for (int i = 0; offset < childCount; i++) { - temp = new byte[(int) lengthVector[i]]; - Arrays.fill(temp, repeatingValue); - rows[i] = temp; - offset += temp.length; - } - } else { // set list as a field of Row - for (int i = 0; offset < childCount; i++) { - temp = new byte[(int) lengthVector[i]]; - Arrays.fill(temp, repeatingValue); - ((Row) rows[i]).setField(fieldIdx, temp); - offset += temp.length; + T repeatingValue = reader.apply(vector.vector[0]); + for (int i = 0; offset < childCount; i++) { + temp = array.apply((int) lengthVector[i]); + Arrays.fill(temp, repeatingValue); + offset += temp.length; + if (fieldIdx == -1) { + vals[i] = temp; + } else { + ((Row) vals[i]).setField(fieldIdx, temp); } } } else { - if (fieldIdx == -1) { // set list as an object - for (int i = 0; offset < childCount; i++) { - temp = new byte[(int) lengthVector[i]]; - for (int j = 0; j < temp.length; j++) { - temp[j] = (byte) vector.vector[offset++]; - } - rows[i] = temp; + for (int i = 0; offset < childCount; i++) { + temp = array.apply((int) lengthVector[i]); + for (int j = 0; j < temp.length; j++) { + temp[j] = reader.apply(vector.vector[offset++]); } - } else { // set list as a field of Row - for (int i = 0; offset < childCount; i++) { - temp = new byte[(int) lengthVector[i]]; - for (int j = 0; j < temp.length; j++) { - temp[j] = (byte) vector.vector[offset++]; - } - ((Row) rows[i]).setField(fieldIdx, temp); + if (fieldIdx == -1) { + vals[i] = temp; + } else { + ((Row) vals[i]).setField(fieldIdx, temp); } } } } } - private static void readNonNullShortColumn(Object[] rows, int fieldIdx, LongColumnVector vector, long[] lengthVector, int childCount) { - - // check if short is directly in a list or not, e.g, array + private static void readNonNullBytesColumnAsString(Object[] vals, int fieldIdx, BytesColumnVector bytes, long[] lengthVector, int childCount) { + // check if the values need to be read into lists or as single values if (lengthVector == null) { - if (vector.isRepeating) { // fill complete column with first value - short repeatingValue = (short) vector.vector[0]; - fillColumnWithRepeatingValue(rows, fieldIdx, repeatingValue, childCount); + if (bytes.isRepeating) { // fill complete column with first value + String repeatingValue = new String(bytes.vector[0], bytes.start[0], bytes.length[0]); + fillColumnWithRepeatingValue(vals, fieldIdx, repeatingValue, childCount); } else { if (fieldIdx == -1) { // set as an object for (int i = 0; i < childCount; i++) { - rows[i] = (short) vector.vector[i]; + vals[i] = new String(bytes.vector[i], bytes.start[i], bytes.length[i], StandardCharsets.UTF_8); } } else { // set as a field of Row + Row[] rows = (Row[]) vals; for (int i = 0; i < childCount; i++) { - ((Row) rows[i]).setField(fieldIdx, (short) vector.vector[i]); + rows[i].setField(fieldIdx, new String(bytes.vector[i], bytes.start[i], bytes.length[i], StandardCharsets.UTF_8)); } } } - } else { // in a list - short[] temp; + } else { + String[] temp; int offset = 0; - if (vector.isRepeating) { // fill complete list with first value - short repeatingValue = (short) vector.vector[0]; - if (fieldIdx == -1) { // set list as an object - for (int i = 0; offset < childCount; i++) { - temp = new short[(int) lengthVector[i]]; - Arrays.fill(temp, repeatingValue); - rows[i] = temp; - offset += temp.length; - } - } else { // set list as a field of Row - for (int i = 0; offset < childCount; i++) { - temp = new short[(int) lengthVector[i]]; - Arrays.fill(temp, repeatingValue); - ((Row) rows[i]).setField(fieldIdx, temp); - offset += temp.length; + if (bytes.isRepeating) { // fill complete list with first value + String repeatingValue = new String(bytes.vector[0], bytes.start[0], bytes.length[0], StandardCharsets.UTF_8); + for (int i = 0; offset < childCount; i++) { + temp = new String[(int) lengthVector[i]]; + Arrays.fill(temp, repeatingValue); + offset += temp.length; + if (fieldIdx == -1) { + vals[i] = temp; + } else { + ((Row) vals[i]).setField(fieldIdx, temp); } } } else { - if (fieldIdx == -1) { // set list as an object - for (int i = 0; offset < childCount; i++) { - temp = new short[(int) lengthVector[i]]; - for (int j = 0; j < temp.length; j++) { - temp[j] = (short) vector.vector[offset++]; - } - rows[i] = temp; + for (int i = 0; offset < childCount; i++) { + temp = new String[(int) lengthVector[i]]; + for (int j = 0; j < temp.length; j++) { + temp[j] = new String(bytes.vector[offset], bytes.start[offset], bytes.length[offset], StandardCharsets.UTF_8); + offset++; } - } else { // set list as a field of Row - for (int i = 0; offset < childCount; i++) { - temp = new short[(int) lengthVector[i]]; - for (int j = 0; j < temp.length; j++) { - temp[j] = (short) vector.vector[offset++]; - } - ((Row) rows[i]).setField(fieldIdx, temp); + if (fieldIdx == -1) { + vals[i] = temp; + } else { + ((Row) vals[i]).setField(fieldIdx, temp); } } } } } - private static void readNonNullIntColumn(Object[] rows, int fieldIdx, LongColumnVector vector, long[] lengthVector, int childCount) { - - // check if int is directly in a list or not, e.g, array + private static void readNonNullBytesColumnAsBinary(Object[] vals, int fieldIdx, BytesColumnVector bytes, long[] lengthVector, int childCount) { + // check if the values need to be read into lists or as single values if (lengthVector == null) { - if (vector.isRepeating) { // fill complete column with first value - int repeatingValue = (int) vector.vector[0]; - fillColumnWithRepeatingValue(rows, fieldIdx, repeatingValue, childCount); + if (bytes.isRepeating) { // fill complete column with first value + if (fieldIdx == -1) { // set as an object + for (int i = 0; i < childCount; i++) { + // don't reuse repeating val to avoid object mutation + vals[i] = readBinary(bytes.vector[0], bytes.start[0], bytes.length[0]); + } + } else { // set as a field of Row + Row[] rows = (Row[]) vals; + for (int i = 0; i < childCount; i++) { + // don't reuse repeating val to avoid object mutation + rows[i].setField(fieldIdx, readBinary(bytes.vector[0], bytes.start[0], bytes.length[0])); + } + } } else { if (fieldIdx == -1) { // set as an object for (int i = 0; i < childCount; i++) { - rows[i] = (int) vector.vector[i]; + vals[i] = readBinary(bytes.vector[i], bytes.start[i], bytes.length[i]); } } else { // set as a field of Row + Row[] rows = (Row[]) vals; for (int i = 0; i < childCount; i++) { - ((Row) rows[i]).setField(fieldIdx, (int) vector.vector[i]); + rows[i].setField(fieldIdx, readBinary(bytes.vector[i], bytes.start[i], bytes.length[i])); } } } - } else { // in a list - int[] temp; + } else { + byte[][] temp; int offset = 0; - if (vector.isRepeating) { // fill complete list with first value - int repeatingValue = (int) vector.vector[0]; - if (fieldIdx == -1) { // set list as an object - for (int i = 0; offset < childCount; i++) { - temp = new int[(int) lengthVector[i]]; - Arrays.fill(temp, repeatingValue); - rows[i] = temp; - offset += temp.length; - } - } else { // set list as a field of Row - for (int i = 0; offset < childCount; i++) { - temp = new int[(int) lengthVector[i]]; - Arrays.fill(temp, repeatingValue); - ((Row) rows[i]).setField(fieldIdx, temp); - offset += temp.length; + if (bytes.isRepeating) { // fill complete list with first value + for (int i = 0; offset < childCount; i++) { + temp = new byte[(int) lengthVector[i]][]; + for (int j = 0; j < temp.length; j++) { + temp[j] = readBinary(bytes.vector[0], bytes.start[0], bytes.length[0]); + } + offset += temp.length; + if (fieldIdx == -1) { + vals[i] = temp; + } else { + ((Row) vals[i]).setField(fieldIdx, temp); } } } else { - if (fieldIdx == -1) { // set list as an object - for (int i = 0; offset < childCount; i++) { - temp = new int[(int) lengthVector[i]]; - for (int j = 0; j < temp.length; j++) { - temp[j] = (int) vector.vector[offset++]; - } - rows[i] = temp; + for (int i = 0; offset < childCount; i++) { + temp = new byte[(int) lengthVector[i]][]; + for (int j = 0; j < temp.length; j++) { + temp[j] = readBinary(bytes.vector[offset], bytes.start[offset], bytes.length[offset]); + offset++; } - } else { // set list as a field of Row - for (int i = 0; offset < childCount; i++) { - temp = new int[(int) lengthVector[i]]; - for (int j = 0; j < temp.length; j++) { - temp[j] = (int) vector.vector[offset++]; - } - ((Row) rows[i]).setField(fieldIdx, temp); + if (fieldIdx == -1) { + vals[i] = temp; + } else { + ((Row) vals[i]).setField(fieldIdx, temp); } } } } } - private static void readNonNullLongColumn(Object[] rows, int fieldIdx, LongColumnVector vector, long[] lengthVector, int childCount) { + private static void readNonNullLongColumnAsDate(Object[] vals, int fieldIdx, LongColumnVector vector, long[] lengthVector, int childCount) { - // check if long is directly in a list or not, e.g, array + // check if the values need to be read into lists or as single values if (lengthVector == null) { if (vector.isRepeating) { // fill complete column with first value - long repeatingValue = vector.vector[0]; - fillColumnWithRepeatingValue(rows, fieldIdx, repeatingValue, childCount); + if (fieldIdx == -1) { // set as an object + for (int i = 0; i < childCount; i++) { + // do not reuse repeated value due to mutability of Date + vals[i] = readDate(vector.vector[0]); + } + } else { // set as a field of Row + Row[] rows = (Row[]) vals; + for (int i = 0; i < childCount; i++) { + // do not reuse repeated value due to mutability of Date + rows[i].setField(fieldIdx, readDate(vector.vector[0])); + } + } } else { if (fieldIdx == -1) { // set as an object for (int i = 0; i < childCount; i++) { - rows[i] = vector.vector[i]; + vals[i] = readDate(vector.vector[i]); } } else { // set as a field of Row + Row[] rows = (Row[]) vals; for (int i = 0; i < childCount; i++) { - ((Row) rows[i]).setField(fieldIdx, (Long) vector.vector[i]); + rows[i].setField(fieldIdx, readDate(vector.vector[i])); } } } } else { // in a list - long[] temp; + Date[] temp; int offset = 0; if (vector.isRepeating) { // fill complete list with first value - long repeatingValue = vector.vector[0]; - if (fieldIdx == -1) { // set list as an object - for (int i = 0; offset < childCount; i++) { - temp = new long[(int) lengthVector[i]]; - Arrays.fill(temp, repeatingValue); - rows[i] = temp; - offset += temp.length; - } - } else { // set list as a field of Row - for (int i = 0; offset < childCount; i++) { - temp = new long[(int) lengthVector[i]]; - Arrays.fill(temp, repeatingValue); - ((Row) rows[i]).setField(fieldIdx, temp); - offset += temp.length; + for (int i = 0; offset < childCount; i++) { + temp = new Date[(int) lengthVector[i]]; + for (int j = 0; j < temp.length; j++) { + temp[j] = readDate(vector.vector[0]); + } + offset += temp.length; + if (fieldIdx == -1) { + vals[i] = temp; + } else { + ((Row) vals[i]).setField(fieldIdx, temp); } } } else { - if (fieldIdx == -1) { // set list as an object - for (int i = 0; offset < childCount; i++) { - temp = new long[(int) lengthVector[i]]; - for (int j = 0; j < temp.length; j++) { - temp[j] = vector.vector[offset++]; - } - rows[i] = temp; + for (int i = 0; offset < childCount; i++) { + temp = new Date[(int) lengthVector[i]]; + for (int j = 0; j < temp.length; j++) { + temp[j] = readDate(vector.vector[offset++]); } - } else { // set list as a field of Row - for (int i = 0; offset < childCount; i++) { - temp = new long[(int) lengthVector[i]]; - for (int j = 0; j < temp.length; j++) { - temp[j] = vector.vector[offset++]; - } - ((Row) rows[i]).setField(fieldIdx, temp); + if (fieldIdx == -1) { + vals[i] = temp; + } else { + ((Row) vals[i]).setField(fieldIdx, temp); } } } } } - private static void readNonNullFloatColumn(Object[] rows, int fieldIdx, DoubleColumnVector vector, long[] lengthVector, int childCount) { + private static void readNonNullTimestampColumn(Object[] vals, int fieldIdx, TimestampColumnVector vector, long[] lengthVector, int childCount) { - // check if float is directly in a list or not, e.g, array + // check if the timestamps need to be read into lists or as single values if (lengthVector == null) { if (vector.isRepeating) { // fill complete column with first value - float repeatingValue = (float) vector.vector[0]; - fillColumnWithRepeatingValue(rows, fieldIdx, repeatingValue, childCount); + if (fieldIdx == -1) { // set as an object + for (int i = 0; i < childCount; i++) { + // do not reuse value to prevent object mutation + vals[i] = readTimestamp(vector.time[0], vector.nanos[0]); + } + } else { // set as a field of Row + Row[] rows = (Row[]) vals; + for (int i = 0; i < childCount; i++) { + // do not reuse value to prevent object mutation + rows[i].setField(fieldIdx, readTimestamp(vector.time[0], vector.nanos[0])); + } + } } else { if (fieldIdx == -1) { // set as an object for (int i = 0; i < childCount; i++) { - rows[i] = (float) vector.vector[i]; + vals[i] = readTimestamp(vector.time[i], vector.nanos[i]); } } else { // set as a field of Row + Row[] rows = (Row[]) vals; for (int i = 0; i < childCount; i++) { - ((Row) rows[i]).setField(fieldIdx, (float) vector.vector[i]); + rows[i].setField(fieldIdx, readTimestamp(vector.time[i], vector.nanos[i])); } } } - } else { // in a list - float[] temp; + } else { + Timestamp[] temp; int offset = 0; if (vector.isRepeating) { // fill complete list with first value - float repeatingValue = (float) vector.vector[0]; - if (fieldIdx == -1) { // set list as an object - for (int i = 0; offset < childCount; i++) { - temp = new float[(int) lengthVector[i]]; - Arrays.fill(temp, repeatingValue); - rows[i] = temp; - offset += temp.length; - } - } else { // set list as a field of Row - for (int i = 0; offset < childCount; i++) { - temp = new float[(int) lengthVector[i]]; - Arrays.fill(temp, repeatingValue); - ((Row) rows[i]).setField(fieldIdx, temp); - offset += temp.length; + for (int i = 0; offset < childCount; i++) { + temp = new Timestamp[(int) lengthVector[i]]; + for (int j = 0; j < temp.length; j++) { + // do not reuse value to prevent object mutation + temp[j] = readTimestamp(vector.time[0], vector.nanos[0]); + } + offset += temp.length; + if (fieldIdx == -1) { + vals[i] = temp; + } else { + ((Row) vals[i]).setField(fieldIdx, temp); } } } else { - if (fieldIdx == -1) { // set list as an object - for (int i = 0; offset < childCount; i++) { - temp = new float[(int) lengthVector[i]]; - for (int j = 0; j < temp.length; j++) { - temp[j] = (float) vector.vector[offset++]; - } - rows[i] = temp; + for (int i = 0; offset < childCount; i++) { + temp = new Timestamp[(int) lengthVector[i]]; + for (int j = 0; j < temp.length; j++) { + temp[j] = readTimestamp(vector.time[offset], vector.nanos[offset]); + offset++; } - } else { // set list as a field of Row - for (int i = 0; offset < childCount; i++) { - temp = new float[(int) lengthVector[i]]; - for (int j = 0; j < temp.length; j++) { - temp[j] = (float) vector.vector[offset++]; - } - ((Row) rows[i]).setField(fieldIdx, temp); + if (fieldIdx == -1) { + vals[i] = temp; + } else { + ((Row) vals[i]).setField(fieldIdx, temp); } } } } } - private static void readNonNullDoubleColumn(Object[] rows, int fieldIdx, DoubleColumnVector vector, long[] lengthVector, int childCount) { + private static void readNonNullDecimalColumn(Object[] vals, int fieldIdx, DecimalColumnVector vector, long[] lengthVector, int childCount) { - // check if double is directly in a list or not, e.g, array + // check if the decimals need to be read into lists or as single values if (lengthVector == null) { if (vector.isRepeating) { // fill complete column with first value - double repeatingValue = vector.vector[0]; - fillColumnWithRepeatingValue(rows, fieldIdx, repeatingValue, childCount); + fillColumnWithRepeatingValue(vals, fieldIdx, readBigDecimal(vector.vector[0]), childCount); } else { if (fieldIdx == -1) { // set as an object for (int i = 0; i < childCount; i++) { - rows[i] = vector.vector[i]; + vals[i] = readBigDecimal(vector.vector[i]); } } else { // set as a field of Row + Row[] rows = (Row[]) vals; for (int i = 0; i < childCount; i++) { - ((Row) rows[i]).setField(fieldIdx, vector.vector[i]); + rows[i].setField(fieldIdx, readBigDecimal(vector.vector[i])); } } } - } else { // in a list - double[] temp; + } else { + BigDecimal[] temp; int offset = 0; if (vector.isRepeating) { // fill complete list with first value - double repeatingValue = vector.vector[0]; - if (fieldIdx == -1) { // set list as an object - for (int i = 0; offset < childCount; i++) { - temp = new double[(int) lengthVector[i]]; - Arrays.fill(temp, repeatingValue); - rows[i] = temp; - offset += temp.length; - } - } else { // set list as a field of Row - for (int i = 0; offset < childCount; i++) { - temp = new double[(int) lengthVector[i]]; - Arrays.fill(temp, repeatingValue); - ((Row) rows[i]).setField(fieldIdx, temp); - offset += temp.length; + BigDecimal repeatingValue = readBigDecimal(vector.vector[0]); + for (int i = 0; offset < childCount; i++) { + temp = new BigDecimal[(int) lengthVector[i]]; + Arrays.fill(temp, repeatingValue); + offset += temp.length; + if (fieldIdx == -1) { + vals[i] = temp; + } else { + ((Row) vals[i]).setField(fieldIdx, temp); } } } else { - if (fieldIdx == -1) { // set list as an object - for (int i = 0; offset < childCount; i++) { - temp = new double[(int) lengthVector[i]]; - for (int j = 0; j < temp.length; j++) { - temp[j] = vector.vector[offset++]; - } - rows[i] = temp; + for (int i = 0; offset < childCount; i++) { + temp = new BigDecimal[(int) lengthVector[i]]; + for (int j = 0; j < temp.length; j++) { + temp[j] = readBigDecimal(vector.vector[offset++]); } - } else { // set list as a field of Row - for (int i = 0; offset < childCount; i++) { - temp = new double[(int) lengthVector[i]]; - for (int j = 0; j < temp.length; j++) { - temp[j] = vector.vector[offset++]; - } - ((Row) rows[i]).setField(fieldIdx, temp); + if (fieldIdx == -1) { + vals[i] = temp; + } else { + ((Row) vals[i]).setField(fieldIdx, temp); } } } } + } - private static void readNonNullStringColumn(Object[] rows, int fieldIdx, BytesColumnVector bytes, long[] lengthVector, int childCount) { + private static void readNonNullStructColumn(Object[] vals, int fieldIdx, StructColumnVector structVector, TypeDescription schema, long[] lengthVector, int childCount) { + + List childrenTypes = schema.getChildren(); + + int numFields = childrenTypes.size(); + // create a batch of Rows to read the structs + Row[] structs = new Row[childCount]; + // TODO: possible improvement: reuse existing Row objects + for (int i = 0; i < childCount; i++) { + structs[i] = new Row(numFields); + } + + // read struct fields + for (int i = 0; i < numFields; i++) { + readField(structs, i, childrenTypes.get(i), structVector.fields[i], null, childCount); + } - // check if string is directly in a list or not, e.g, array + // check if the structs need to be read into lists or as single values if (lengthVector == null) { - if (bytes.isRepeating) { // fill complete column with first value - String repeatingValue = new String(bytes.vector[0], bytes.start[0], bytes.length[0]); - fillColumnWithRepeatingValue(rows, fieldIdx, repeatingValue, childCount); - } else { - if (fieldIdx == -1) { // set as an object - for (int i = 0; i < childCount; i++) { - rows[i] = new String(bytes.vector[i], bytes.start[i], bytes.length[i]); - } - } else { // set as a field of Row - for (int i = 0; i < childCount; i++) { - ((Row) rows[i]).setField(fieldIdx, new String(bytes.vector[i], bytes.start[i], bytes.length[i])); - } + if (fieldIdx == -1) { // set struct as an object + System.arraycopy(structs, 0, vals, 0, childCount); + } else { // set struct as a field of Row + Row[] rows = (Row[]) vals; + for (int i = 0; i < childCount; i++) { + rows[i].setField(fieldIdx, structs[i]); } } - } - else { // in a list - String[] temp; + } else { // struct in a list int offset = 0; - if (bytes.isRepeating) { // fill list with first value - String repeatingValue = new String(bytes.vector[0], bytes.start[0], bytes.length[0]); - if (fieldIdx == -1) { // set list as an object - for (int i = 0; i < childCount; i++) { - temp = new String[(int) lengthVector[i]]; - Arrays.fill(temp, repeatingValue); - rows[i] = temp; - offset += temp.length; - } - } else { // set list as a field - for (int i = 0; i < childCount; i++) { - temp = new String[(int) lengthVector[i]]; - Arrays.fill(temp, repeatingValue); - ((Row) rows[i]).setField(fieldIdx, temp); - offset += temp.length; - } + Row[] temp; + for (int i = 0; offset < childCount; i++) { + temp = new Row[(int) lengthVector[i]]; + System.arraycopy(structs, offset, temp, 0, temp.length); + offset = offset + temp.length; + if (fieldIdx == -1) { + vals[i] = temp; + } else { + ((Row) vals[i]).setField(fieldIdx, temp); } - } else { - if (fieldIdx == -1) { // set list as an object - for (int i = 0; offset < childCount; i++) { - temp = new String[(int) lengthVector[i]]; - for (int j = 0; j < temp.length; j++) { - temp[j] = new String(bytes.vector[offset], bytes.start[offset], bytes.length[offset]); - offset++; - } - rows[i] = temp; - } - } else { // set list as a field - for (int i = 0; offset < childCount; i++) { - temp = new String[(int) lengthVector[i]]; - for (int j = 0; j < temp.length; j++) { - temp[j] = new String(bytes.vector[offset], bytes.start[offset], bytes.length[offset]); - offset++; - } - ((Row) rows[i]).setField(fieldIdx, temp); - } + } + } + } + + private static void readNonNullListColumn(Object[] vals, int fieldIdx, ListColumnVector list, TypeDescription schema, long[] lengthVector, int childCount) { + + TypeDescription fieldType = schema.getChildren().get(0); + // check if the list need to be read into lists or as single values + if (lengthVector == null) { + long[] lengthVectorNested = list.lengths; + readField(vals, fieldIdx, fieldType, list.child, lengthVectorNested, list.childCount); + } else { // list in a list + Object[] nestedLists = new Object[childCount]; + // length vector for nested list + long[] lengthVectorNested = list.lengths; + // read nested list + readField(nestedLists, -1, fieldType, list.child, lengthVectorNested, list.childCount); + // get type of nestedList + Class classType = nestedLists[0].getClass(); + + // fill outer list with nested list + int offset = 0; + int length; + for (int i = 0; offset < childCount; i++) { + length = (int) lengthVector[i]; + Object[] temp = (Object[]) Array.newInstance(classType, length); + System.arraycopy(nestedLists, offset, temp, 0, length); + offset = offset + length; + if (fieldIdx == -1) { + vals[i] = temp; + } else { + ((Row) vals[i]).setField(fieldIdx, temp); } } } + } + + private static void readNonNullMapColumn(Object[] vals, int fieldIdx, MapColumnVector mapsVector, TypeDescription schema, long[] lengthVector, int childCount) { + + List fieldType = schema.getChildren(); + TypeDescription keyType = fieldType.get(0); + TypeDescription valueType = fieldType.get(1); + + ColumnVector keys = mapsVector.keys; + ColumnVector values = mapsVector.values; + Object[] keyRows = new Object[mapsVector.childCount]; + Object[] valueRows = new Object[mapsVector.childCount]; + + // read map keys and values + readField(keyRows, -1, keyType, keys, null, keyRows.length); + readField(valueRows, -1, valueType, values, null, valueRows.length); + + // check if the maps need to be read into lists or as single values + if (lengthVector == null) { + long[] lengthVectorMap = mapsVector.lengths; + int offset = 0; + + for (int i = 0; i < childCount; i++) { + long numMapEntries = lengthVectorMap[i]; + HashMap map = readHashMap(keyRows, valueRows, offset, numMapEntries); + offset += numMapEntries; + + if (fieldIdx == -1) { + vals[i] = map; + } else { + ((Row) vals[i]).setField(fieldIdx, map); + } + } + } else { // list of map + + long[] lengthVectorMap = mapsVector.lengths; + int mapOffset = 0; // offset of map element + int offset = 0; // offset of map + HashMap[] temp; + for (int i = 0; offset < childCount; i++) { + temp = new HashMap[(int) lengthVector[i]]; + for (int j = 0; j < temp.length; j++) { + long numMapEntries = lengthVectorMap[offset]; + temp[j] = readHashMap(keyRows, valueRows, mapOffset, numMapEntries); + mapOffset += numMapEntries; + offset++; + } + if (fieldIdx == 1) { + vals[i] = temp; + } else { + ((Row) vals[i]).setField(fieldIdx, temp); + } + } + } } - private static void readNonNullDateColumn(Object[] rows, int fieldIdx, LongColumnVector vector, long[] lengthVector, int childCount) { + private static void readLongColumn(Object[] vals, int fieldIdx, LongColumnVector vector, long[] lengthVector, int childCount, + LongFunction reader, IntFunction array) { - // check if date is directly in a list or not, e.g, array + // check if the values need to be read into lists or as single values if (lengthVector == null) { if (vector.isRepeating) { // fill complete column with first value - if (fieldIdx == -1) { // set as an object - for (int i = 0; i < childCount; i++) { - rows[i] = readDate(vector.vector[0]); - } - } else { // set as a field of Row - for (int i = 0; i < childCount; i++) { - ((Row) rows[i]).setField(fieldIdx, readDate(vector.vector[0])); - } - } + // since the column contains null values and has just one distinct value, the repeated value is null + fillColumnWithRepeatingValue(vals, fieldIdx, null, childCount); } else { + boolean[] isNullVector = vector.isNull; if (fieldIdx == -1) { // set as an object for (int i = 0; i < childCount; i++) { - rows[i] = readDate(vector.vector[i]); + if (isNullVector[i]) { + vals[i] = null; + } else { + vals[i] = reader.apply(vector.vector[i]); + } } } else { // set as a field of Row + Row[] rows = (Row[]) vals; for (int i = 0; i < childCount; i++) { - ((Row) rows[i]).setField(fieldIdx, readDate(vector.vector[i])); - } - } - } - } else { - Date[] temp; - int offset = 0; - if (vector.isRepeating) { // fill complete list with first value - if (fieldIdx == -1) { // set list as an object - for (int i = 0; offset < childCount; i++) { - temp = new Date[(int) lengthVector[i]]; - for (int j = 0; j < temp.length; j++) { - temp[j] = readDate(vector.vector[0]); - } - rows[i] = temp; - offset += temp.length; - } - } else { // set list as a field of Row - for (int i = 0; offset < childCount; i++) { - temp = new Date[(int) lengthVector[i]]; - for (int j = 0; j < temp.length; j++) { - temp[j] = readDate(vector.vector[0]); + if (isNullVector[i]) { + rows[i].setField(fieldIdx, null); + } else { + rows[i].setField(fieldIdx, reader.apply(vector.vector[i])); } - ((Row) rows[i]).setField(fieldIdx, temp); - offset += temp.length; } } + } + } else { // in a list + if (vector.isRepeating) { // // fill complete list with first value + // since the column contains null values and has just one distinct value, the repeated value is null + fillListWithRepeatingNull(vals, fieldIdx, lengthVector, childCount, array); } else { - if (fieldIdx == -1) { // set list as an object - for (int i = 0; offset < childCount; i++) { - temp = new Date[(int) lengthVector[i]]; - for (int j = 0; j < temp.length; j++) { - temp[j] = readDate(vector.vector[offset++]); + // column contain null values + int offset = 0; + T[] temp; + boolean[] isNullVector = vector.isNull; + for (int i = 0; offset < childCount; i++) { + temp = array.apply((int) lengthVector[i]); + for (int j = 0; j < temp.length; j++) { + if (isNullVector[offset]) { + offset++; + } else { + temp[j] = reader.apply(vector.vector[offset++]); } - rows[i] = temp; } - } else { // set list as a field of Row - for (int i = 0; offset < childCount; i++) { - temp = new Date[(int) lengthVector[i]]; - for (int j = 0; j < temp.length; j++) { - temp[j] = readDate(vector.vector[offset++]); - } - ((Row) rows[i]).setField(fieldIdx, temp); + if (fieldIdx == -1) { + vals[i] = temp; + } else { + ((Row) vals[i]).setField(fieldIdx, temp); } } } } } - private static void readNonNullTimestampColumn(Object[] rows, int fieldIdx, TimestampColumnVector vector, long[] lengthVector, int childCount) { + private static void readDoubleColumn(Object[] vals, int fieldIdx, DoubleColumnVector vector, long[] lengthVector, int childCount, + DoubleFunction reader, IntFunction array) { - // check if timestamp is directly in a list or not, e.g, array + // check if the values need to be read into lists or as single values if (lengthVector == null) { if (vector.isRepeating) { // fill complete column with first value - if (fieldIdx == -1) { // set as an object - for (int i = 0; i < childCount; i++) { - rows[i] = readTimeStamp(vector.time[0], vector.nanos[0]); - } - } else { // set as a field of Row - for (int i = 0; i < childCount; i++) { - ((Row) rows[i]).setField(fieldIdx, readTimeStamp(vector.time[0], vector.nanos[0])); - } - } + // since the column contains null values and has just one distinct value, the repeated value is null + fillColumnWithRepeatingValue(vals, fieldIdx, null, childCount); } else { + boolean[] isNullVector = vector.isNull; if (fieldIdx == -1) { // set as an object for (int i = 0; i < childCount; i++) { - rows[i] = readTimeStamp(vector.time[i], vector.nanos[i]); + if (isNullVector[i]) { + vals[i] = null; + } else { + vals[i] = reader.apply(vector.vector[i]); + } } } else { // set as a field of Row + Row[] rows = (Row[]) vals; for (int i = 0; i < childCount; i++) { - ((Row) rows[i]).setField(fieldIdx, readTimeStamp(vector.time[i], vector.nanos[i])); - } - } - } - } else { - Timestamp[] temp; - int offset = 0; - if (vector.isRepeating) { // fill complete list with first value - if (fieldIdx == -1) { // set list as an object - for (int i = 0; offset < childCount; i++) { - temp = new Timestamp[(int) lengthVector[i]]; - for (int j = 0; j < temp.length; j++) { - temp[j] = readTimeStamp(vector.time[0], vector.nanos[0]); - } - rows[i] = temp; - offset += temp.length; - } - } else { // set list as a field of Row - for (int i = 0; offset < childCount; i++) { - temp = new Timestamp[(int) lengthVector[i]]; - for (int j = 0; j < temp.length; j++) { - temp[j] = readTimeStamp(vector.time[0], vector.nanos[0]); + if (isNullVector[i]) { + rows[i].setField(fieldIdx, null); + } else { + rows[i].setField(fieldIdx, reader.apply(vector.vector[i])); } - ((Row) rows[i]).setField(fieldIdx, temp); - offset += temp.length; } } + } + } else { // in a list + if (vector.isRepeating) { // // fill complete list with first value + // since the column contains null values and has just one distinct value, the repeated value is null + fillListWithRepeatingNull(vals, fieldIdx, lengthVector, childCount, array); } else { - if (fieldIdx == -1) { // set list as an object - for (int i = 0; offset < childCount; i++) { - temp = new Timestamp[(int) lengthVector[i]]; - for (int j = 0; j < temp.length; j++) { - temp[j] = readTimeStamp(vector.time[offset], vector.nanos[offset]); + // column contain null values + int offset = 0; + T[] temp; + boolean[] isNullVector = vector.isNull; + for (int i = 0; offset < childCount; i++) { + temp = array.apply((int) lengthVector[i]); + for (int j = 0; j < temp.length; j++) { + if (isNullVector[offset]) { offset++; + } else { + temp[j] = reader.apply(vector.vector[offset++]); } - rows[i] = temp; } - } else { // set list as a field of Row - for (int i = 0; offset < childCount; i++) { - temp = new Timestamp[(int) lengthVector[i]]; - for (int j = 0; j < temp.length; j++) { - temp[j] = readTimeStamp(vector.time[offset], vector.nanos[offset]); - offset++; - } - ((Row) rows[i]).setField(fieldIdx, temp); + if (fieldIdx == -1) { + vals[i] = temp; + } else { + ((Row) vals[i]).setField(fieldIdx, temp); } } } } } - private static void readNonNullBinaryColumn(Object[] rows, int fieldIdx, BytesColumnVector bytes, long[] lengthVector, int childCount) { + private static void readBytesColumnAsString(Object[] vals, int fieldIdx, BytesColumnVector bytes, long[] lengthVector, int childCount) { - // check if string is directly in a list or not, e.g, array + // check if the values need to be read into lists or as single values if (lengthVector == null) { if (bytes.isRepeating) { // fill complete column with first value - if (fieldIdx == -1) { // set as an object - for (int i = 0; i < childCount; i++) { - rows[i] = readBinary(bytes.vector[0], bytes.start[0], bytes.length[0]); - } - } else { // set as a field of Row - for (int i = 0; i < childCount; i++) { - ((Row) rows[i]).setField(fieldIdx, readBinary(bytes.vector[0], bytes.start[0], bytes.length[0])); - } - } - } else { - if (fieldIdx == -1) { // set as an object - for (int i = 0; i < childCount; i++) { - rows[i] = readBinary(bytes.vector[i], bytes.start[i], bytes.length[i]); - } - } else { // set as a field of Row - for (int i = 0; i < childCount; i++) { - ((Row) rows[i]).setField(fieldIdx, readBinary(bytes.vector[i], bytes.start[i], bytes.length[i])); - } - } - } - } else { - byte[][] temp; - int offset = 0; - if (bytes.isRepeating) { // fill complete list with first value - if (fieldIdx == -1) { // set list as an object - for (int i = 0; offset < childCount; i++) { - temp = new byte[(int) lengthVector[i]][]; - for (int j = 0; j < temp.length; j++) { - temp[j] = readBinary(bytes.vector[0], bytes.start[0], bytes.length[0]); - } - rows[i] = temp; - offset += temp.length; - } - } else { // set list as a field - for (int i = 0; offset < childCount; i++) { - temp = new byte[(int) lengthVector[i]][]; - for (int j = 0; j < temp.length; j++) { - temp[j] = readBinary(bytes.vector[0], bytes.start[0], bytes.length[0]); - } - ((Row) rows[i]).setField(fieldIdx, temp); - offset += temp.length; - } - } - } else { - if (fieldIdx == -1) { // set list as an object - for (int i = 0; offset < childCount; i++) { - temp = new byte[(int) lengthVector[i]][]; - for (int j = 0; j < temp.length; j++) { - temp[j] = readBinary(bytes.vector[offset], bytes.start[offset], bytes.length[offset]); - offset++; - } - rows[i] = temp; - } - } else { // set list as a field - for (int i = 0; offset < childCount; i++) { - temp = new byte[(int) lengthVector[i]][]; - for (int j = 0; j < temp.length; j++) { - temp[j] = readBinary(bytes.vector[offset], bytes.start[offset], bytes.length[offset]); - offset++; - } - ((Row) rows[i]).setField(fieldIdx, temp); - } - } - } - } - - } - - private static void readNonNullDecimalColumn(Object[] rows, int fieldIdx, DecimalColumnVector vector, long[] lengthVector, int childCount) { - - // check if decimal is directly in a list or not, e.g, array - if (lengthVector == null) { - if (vector.isRepeating) { // fill complete column with first value - fillColumnWithRepeatingValue(rows, fieldIdx, readBigDecimal(vector.vector[0]), childCount); - } else { - if (fieldIdx == -1) { // set as an object - for (int i = 0; i < childCount; i++) { - rows[i] = readBigDecimal(vector.vector[i]); - } - } else { // set as a field of Row - for (int i = 0; i < childCount; i++) { - ((Row) rows[i]).setField(fieldIdx, readBigDecimal(vector.vector[i])); - } - } - } - } else { - BigDecimal[] temp; - int offset = 0; - if (vector.isRepeating) { // fill complete list with first value - BigDecimal repeatingValue = readBigDecimal(vector.vector[0]); - if (fieldIdx == -1) { // set list as an object - for (int i = 0; offset < childCount; i++) { - temp = new BigDecimal[(int) lengthVector[i]]; - Arrays.fill(temp, repeatingValue); - rows[i] = temp; - offset += temp.length; - } - } else { // set list as a field of Row - for (int i = 0; offset < childCount; i++) { - temp = new BigDecimal[(int) lengthVector[i]]; - Arrays.fill(temp, repeatingValue); - ((Row) rows[i]).setField(fieldIdx, temp); - offset += temp.length; - } - } - } else { - if (fieldIdx == -1) { // set list as an object - for (int i = 0; offset < childCount; i++) { - temp = new BigDecimal[(int) lengthVector[i]]; - for (int j = 0; j < temp.length; j++) { - temp[j] = readBigDecimal(vector.vector[offset++]); - } - rows[i] = temp; - } - } else { // set list as a field of Row - for (int i = 0; offset < childCount; i++) { - temp = new BigDecimal[(int) lengthVector[i]]; - for (int j = 0; j < temp.length; j++) { - temp[j] = readBigDecimal(vector.vector[offset++]); - } - ((Row) rows[i]).setField(fieldIdx, temp); - } - } - } - } - - } - - private static void readNonNullStructColumn(Object[] rows, int fieldIdx, StructColumnVector struct, TypeDescription schema, long[] lengthVector, int childCount) { - - List childrenTypes = schema.getChildren(); - - int numChildren = childrenTypes.size(); - Row[] nestedFields = new Row[childCount]; - for (int i = 0; i < childCount; i++) { - nestedFields[i] = new Row(numChildren); - } - for (int i = 0; i < numChildren; i++) { - readField(nestedFields, i, childrenTypes.get(i), struct.fields[i], null, childCount); - } - - // check if struct is directly in a list or not, e.g, array> - if (lengthVector == null) { - if (fieldIdx == -1) { // set struct as an object - System.arraycopy(nestedFields, 0, rows, 0, childCount); - } - else { // set struct as a field of Row - for (int i = 0; i < childCount; i++) { - ((Row) rows[i]).setField(fieldIdx, nestedFields[i]); - } - } - } - else { // struct in a list - int offset = 0; - Row[] temp; - if (fieldIdx == -1) { // set list of struct as an object - for (int i = 0; offset < childCount; i++) { - temp = new Row[(int) lengthVector[i]]; - System.arraycopy(nestedFields, offset, temp, 0, temp.length); - offset = offset + temp.length; - rows[i] = temp; - } - } - else { // set list of struct as a field of Row - for (int i = 0; offset < childCount; i++) { - temp = new Row[(int) lengthVector[i]]; - System.arraycopy(nestedFields, offset, temp, 0, temp.length); - offset = offset + temp.length; - ((Row) rows[i]).setField(fieldIdx, temp); - } - } - } - } - - private static void readNonNullListColumn(Object[] rows, int fieldIdx, ListColumnVector list, TypeDescription schema, long[] lengthVector, int childCount) { - - TypeDescription fieldType = schema.getChildren().get(0); - if (lengthVector == null) { - long[] lengthVectorNested = list.lengths; - readField(rows, fieldIdx, fieldType, list.child, lengthVectorNested, list.childCount); - } - else { // list in a list - - Object[] nestedList = new Object[childCount]; - - // length vector for nested list - long[] lengthVectorNested = list.lengths; - - // read nested list - readField(nestedList, -1, fieldType, list.child, lengthVectorNested, list.childCount); - - // get type of nestedList - Class classType = nestedList[0].getClass(); - - // fill outer list with nested list - int offset = 0; - int length; - if (fieldIdx == -1) { // set list of list as an object - for (int i = 0; offset < childCount; i++) { - length = (int) lengthVector[i]; - Object temp = Array.newInstance(classType, length); - System.arraycopy(nestedList, offset, temp, 0, length); - offset = offset + length; - rows[i] = temp; - - } - } else { // set list of list as an field on Row - for (int i = 0; offset < childCount; i++) { - length = (int) lengthVector[i]; - Object temp = Array.newInstance(classType, length); - System.arraycopy(nestedList, offset, temp, 0, length); - offset = offset + length; - ((Row) rows[i]).setField(fieldIdx, temp); - } - } - } - - } - - private static void readNonNullMapColumn(Object[] rows, int fieldIdx, MapColumnVector map, TypeDescription schema, long[] lengthVector, int childCount) { - - List fieldType = schema.getChildren(); - TypeDescription keyType = fieldType.get(0); - TypeDescription valueType = fieldType.get(1); - - ColumnVector keys = map.keys; - ColumnVector values = map.values; - Object[] keyRows = new Object[map.childCount]; - Object[] valueRows = new Object[map.childCount]; - - // read map kes and values - readField(keyRows, -1, keyType, keys, null, keyRows.length); - readField(valueRows, -1, valueType, values, null, valueRows.length); - - // check if map is directly in a list or not, e.g, array> - if (lengthVector == null) { - long[] lengthVectorMap = map.lengths; - int offset = 0; - if (fieldIdx == -1) { - for (int i = 0; i < childCount; i++) { - rows[i] = readHashMap(keyRows, valueRows, offset, lengthVectorMap[i]); - offset += lengthVectorMap[i]; - } - } else { - for (int i = 0; i < childCount; i++) { - ((Row) rows[i]).setField(fieldIdx, readHashMap(keyRows, valueRows, offset, lengthVectorMap[i])); - offset += lengthVectorMap[i]; - } - } - } else { // list of map - - long[] lengthVectorMap = map.lengths; - int mapOffset = 0; // offset of map element - int offset = 0; // offset of map - HashMap[] temp; - if (fieldIdx == -1) { // set map list as an object - for (int i = 0; offset < childCount; i++) { - temp = new HashMap[(int) lengthVector[i]]; - for (int j = 0; j < temp.length; j++) { - temp[j] = readHashMap(keyRows, valueRows, mapOffset, lengthVectorMap[offset]); - mapOffset += lengthVectorMap[offset]; - offset++; - } - rows[i] = temp; - } - } else { // set map list as a field of Row - for (int i = 0; offset < childCount; i++) { - temp = new HashMap[(int) lengthVector[i]]; - for (int j = 0; j < temp.length; j++) { - temp[j] = readHashMap(keyRows, valueRows, mapOffset, lengthVectorMap[offset]); - mapOffset += lengthVectorMap[offset]; - offset++; - } - ((Row) rows[i]).setField(fieldIdx, temp); - } - } - } - } - - private static void fillColumnWithRepeatingValue(Object[] rows, int fieldIdx, Object repeatingValue, int childCount) { - - if (fieldIdx == -1) { // set as an object - for (int i = 0; i < childCount; i++) { - rows[i] = repeatingValue; - } - } else { // set as a field of Row - for (int i = 0; i < childCount; i++) { - ((Row) rows[i]).setField(fieldIdx, repeatingValue); - } - } - } - - private static void fillListWithRepeatingNull(Object[] rows, int fieldIdx, Class classType, long[] lengthVector, int childCount) { - - int length; - if (fieldIdx == -1) { - for (int i = 0; i < childCount; i++) { - length = (int) lengthVector[i]; - Object temp = Array.newInstance(classType, length); - rows[i] = temp; - } - } else { - for (int i = 0; i < childCount; i++) { - length = (int) lengthVector[i]; - Object temp = Array.newInstance(classType, length); - ((Row) rows[i]).setField(fieldIdx, temp); - } - } - } - - private static void readBooleanColumn(Object[] rows, int fieldIdx, LongColumnVector vector, long[] lengthVector, int childCount) { - - // check if data type(dt) is directly in list or not, e.g, array
- if (lengthVector == null) { - if (vector.isRepeating) { // fill complete column with first value - // Also column contains null value and it's repeating - fillColumnWithRepeatingValue(rows, fieldIdx, null, childCount); - } else { - boolean[] isNullVector = vector.isNull; - if (fieldIdx == -1) { // set as an object - for (int i = 0; i < childCount; i++) { - if (isNullVector[i]) { - rows[i] = null; - continue; - } - rows[i] = vector.vector[i] != 0; - } - } else { // set as a field of Row - for (int i = 0; i < childCount; i++) { - if (isNullVector[i]) { - ((Row) rows[i]).setField(fieldIdx, null); - continue; - } - ((Row) rows[i]).setField(fieldIdx, vector.vector[i] != 0); - } - } - } - } else { // in a list - if (vector.isRepeating) { // // fill complete list with first value - // Also column contains null value and it's repeating - // so all values are null, but we need to set list with null values - fillListWithRepeatingNull(rows, fieldIdx, boolean[].class, lengthVector, childCount); - } else { - // column contain null values - int offset = 0; - boolean[] temp; - boolean[] isNullVector = vector.isNull; - if (fieldIdx == -1) { // set list as an object - for (int i = 0; offset < childCount; i++) { - temp = new boolean[(int) lengthVector[i]]; - for (int j = 0; j < temp.length; j++) { - if (isNullVector[offset]) { - offset++; - continue; - } - temp[j] = vector.vector[offset++] != 0; - } - rows[i] = temp; - } - } else { // set list as a field of Row - for (int i = 0; offset < childCount; i++) { - temp = new boolean[(int) lengthVector[i]]; - for (int j = 0; j < temp.length; j++) { - if (isNullVector[offset]) { - offset++; - continue; - } - temp[j] = vector.vector[offset++] != 0; - } - ((Row) rows[i]).setField(fieldIdx, temp); - } - } - } - } - } - - private static void readByteColumn(Object[] rows, int fieldIdx, LongColumnVector vector, long[] lengthVector, int childCount) { - - // check if data type(dt) is directly in list or not, e.g, array
- if (lengthVector == null) { - if (vector.isRepeating) { // fill complete column with first value - // Also column contains null value and it's repeating - fillColumnWithRepeatingValue(rows, fieldIdx, null, childCount); - } else { - boolean[] isNullVector = vector.isNull; - if (fieldIdx == -1) { // set as an object - for (int i = 0; i < childCount; i++) { - if (isNullVector[i]) { - rows[i] = null; - continue; - } - rows[i] = (byte) vector.vector[i]; - } - } else { // set as a field of Row - for (int i = 0; i < childCount; i++) { - if (isNullVector[i]) { - ((Row) rows[i]).setField(fieldIdx, null); - continue; - } - ((Row) rows[i]).setField(fieldIdx, (byte) vector.vector[i]); - } - } - } - } else { // in a list - if (vector.isRepeating) { // // fill complete list with first value - // Also column contains null value and it's repeating - // so all values are null, but we need to set list with null values - fillListWithRepeatingNull(rows, fieldIdx, byte[].class, lengthVector, childCount); - } else { - // column contain null values - int offset = 0; - byte[] temp; - boolean[] isNullVector = vector.isNull; - if (fieldIdx == -1) { // set list as an object - for (int i = 0; offset < childCount; i++) { - temp = new byte[(int) lengthVector[i]]; - for (int j = 0; j < temp.length; j++) { - if (isNullVector[offset]) { - offset++; - continue; - } - temp[j] = (byte) vector.vector[offset++]; - } - rows[i] = temp; - } - } else { // set list as a field of Row - for (int i = 0; offset < childCount; i++) { - temp = new byte[(int) lengthVector[i]]; - for (int j = 0; j < temp.length; j++) { - if (isNullVector[offset]) { - offset++; - continue; - } - temp[j] = (byte) vector.vector[offset++]; - } - ((Row) rows[i]).setField(fieldIdx, temp); - } - } - } - } - } - - private static void readShortColumn(Object[] rows, int fieldIdx, LongColumnVector vector, long[] lengthVector, int childCount) { - - // check if data type(dt) is directly in list or not, e.g, array
- if (lengthVector == null) { - if (vector.isRepeating) { // fill complete column with first value - // Also column contains null value and it's repeating - fillColumnWithRepeatingValue(rows, fieldIdx, null, childCount); - } else { - boolean[] isNullVector = vector.isNull; - if (fieldIdx == -1) { // set as an object - for (int i = 0; i < childCount; i++) { - if (isNullVector[i]) { - rows[i] = null; - continue; - } - rows[i] = (short) vector.vector[i]; - } - } else { // set as field of Row - for (int i = 0; i < childCount; i++) { - if (isNullVector[i]) { - ((Row) rows[i]).setField(fieldIdx, null); - continue; - } - ((Row) rows[i]).setField(fieldIdx, (short) vector.vector[i]); - } - } - } - } else { // in a list - if (vector.isRepeating) { // // fill complete list with first value - // Also column contains null value and it's repeating - // so all values are null, but we need to set list with null values - fillListWithRepeatingNull(rows, fieldIdx, short[].class, lengthVector, childCount); - } else { - // column contain null values - int offset = 0; - short[] temp; - boolean[] isNullVector = vector.isNull; - if (fieldIdx == -1) { // set list as an object - for (int i = 0; offset < childCount; i++) { - temp = new short[(int) lengthVector[i]]; - for (int j = 0; j < temp.length; j++) { - if (isNullVector[offset]) { - offset++; - continue; - } - temp[j] = (short) vector.vector[offset++]; - } - rows[i] = temp; - } - } else { // set list as a field of Row - for (int i = 0; offset < childCount; i++) { - temp = new short[(int) lengthVector[i]]; - for (int j = 0; j < temp.length; j++) { - if (isNullVector[offset]) { - offset++; - continue; - } - temp[j] = (short) vector.vector[offset++]; - } - ((Row) rows[i]).setField(fieldIdx, temp); - } - } - } - } - } - - private static void readIntColumn(Object[] rows, int fieldIdx, LongColumnVector vector, long[] lengthVector, int childCount) { - - // check if data type(dt) is directly in list or not, e.g, array
- if (lengthVector == null) { - if (vector.isRepeating) { // fill complete column with first value - // Also column contains null value and it's repeating - fillColumnWithRepeatingValue(rows, fieldIdx, null, childCount); - } else { - boolean[] isNullVector = vector.isNull; - if (fieldIdx == -1) { // set as an object - for (int i = 0; i < childCount; i++) { - if (isNullVector[i]) { - rows[i] = null; - continue; - } - rows[i] = (int) vector.vector[i]; - } - } else { // set as a field of Row - for (int i = 0; i < childCount; i++) { - if (isNullVector[i]) { - ((Row) rows[i]).setField(fieldIdx, null); - continue; - } - ((Row) rows[i]).setField(fieldIdx, (int) vector.vector[i]); - } - } - } - } else { // in a list - if (vector.isRepeating) { // // fill complete list with first value - // Also column contains null value and it's repeating - // so all values are null, but we need to set list with null values - fillListWithRepeatingNull(rows, fieldIdx, int[].class, lengthVector, childCount); - } else { - // column contain null values - int offset = 0; - int[] temp; - boolean[] isNullVector = vector.isNull; - if (fieldIdx == -1) { // set list as an object - for (int i = 0; offset < childCount; i++) { - temp = new int[(int) lengthVector[i]]; - for (int j = 0; j < temp.length; j++) { - if (isNullVector[offset]) { - offset++; - continue; - } - temp[j] = (int) vector.vector[offset++]; - } - rows[i] = temp; - } - } else { // set list as a field of Row - for (int i = 0; offset < childCount; i++) { - temp = new int[(int) lengthVector[i]]; - for (int j = 0; j < temp.length; j++) { - if (isNullVector[offset]) { - offset++; - continue; - } - temp[j] = (int) vector.vector[offset++]; - } - ((Row) rows[i]).setField(fieldIdx, temp); - } - } - } - } - } - - private static void readLongColumn(Object[] rows, int fieldIdx, LongColumnVector vector, long[] lengthVector, int childCount) { - - // check if data type(dt) is directly in list or not, e.g, array
- if (lengthVector == null) { - if (vector.isRepeating) { // fill complete column with first value - // Also column contains null value and it's repeating - fillColumnWithRepeatingValue(rows, fieldIdx, null, childCount); - } else { - boolean[] isNullVector = vector.isNull; - if (fieldIdx == -1) { // set as an object - for (int i = 0; i < childCount; i++) { - if (isNullVector[i]) { - rows[i] = null; - continue; - } - rows[i] = vector.vector[i]; - } - } else { // set as a field of Row - for (int i = 0; i < childCount; i++) { - if (isNullVector[i]) { - ((Row) rows[i]).setField(fieldIdx, null); - continue; - } - ((Row) rows[i]).setField(fieldIdx, vector.vector[i]); - } - } - } - } else { // in a list - if (vector.isRepeating) { // // fill complete list with first value - // Also column contains null value and it's repeating - // so all values are null, but we need to set list with null values - fillListWithRepeatingNull(rows, fieldIdx, long[].class, lengthVector, childCount); - } else { - // column contain null values - int offset = 0; - long[] temp; - boolean[] isNullVector = vector.isNull; - if (fieldIdx == -1) { // set list as an object - for (int i = 0; offset < childCount; i++) { - temp = new long[(int) lengthVector[i]]; - for (int j = 0; j < temp.length; j++) { - if (isNullVector[offset]) { - offset++; - continue; - } - temp[j] = vector.vector[offset++]; - } - rows[i] = temp; - } - } else { // set list as a field of Row - for (int i = 0; offset < childCount; i++) { - temp = new long[(int) lengthVector[i]]; - for (int j = 0; j < temp.length; j++) { - if (isNullVector[offset]) { - offset++; - continue; - } - temp[j] = vector.vector[offset++]; - } - ((Row) rows[i]).setField(fieldIdx, temp); - } - } - } - } - } - - private static void readFloatColumn(Object[] rows, int fieldIdx, DoubleColumnVector vector, long[] lengthVector, int childCount) { - - // check if data type(dt) is directly in list or not, e.g, array
- if (lengthVector == null) { - if (vector.isRepeating) { // fill complete column with first value - // Also column contains null value and it's repeating - fillColumnWithRepeatingValue(rows, fieldIdx, null, childCount); + // since the column contains null values and has just one distinct value, the repeated value is null + fillColumnWithRepeatingValue(vals, fieldIdx, null, childCount); } else { - boolean[] isNullVector = vector.isNull; + boolean[] isNullVector = bytes.isNull; if (fieldIdx == -1) { // set as an object for (int i = 0; i < childCount; i++) { if (isNullVector[i]) { - rows[i] = null; - continue; + vals[i] = null; + } else { + vals[i] = new String(bytes.vector[i], bytes.start[i], bytes.length[i]); } - rows[i] = (float) vector.vector[i]; } } else { // set as a field of Row + Row[] rows = (Row[]) vals; for (int i = 0; i < childCount; i++) { if (isNullVector[i]) { - ((Row) rows[i]).setField(fieldIdx, null); - continue; + rows[i].setField(fieldIdx, null); + } else { + rows[i].setField(fieldIdx, new String(bytes.vector[i], bytes.start[i], bytes.length[i])); } - ((Row) rows[i]).setField(fieldIdx, (float) vector.vector[i]); } } } } else { // in a list - if (vector.isRepeating) { // // fill complete list with first value - // Also column contains null value and it's repeating - // so all values are null, but we need to set list with null values - fillListWithRepeatingNull(rows, fieldIdx, float[].class, lengthVector, childCount); + if (bytes.isRepeating) { // fill list with first value + // since the column contains null values and has just one distinct value, the repeated value is null + fillListWithRepeatingNull(vals, fieldIdx, lengthVector, childCount, OrcUtils::stringArray); } else { - // column contain null values int offset = 0; - float[] temp; - boolean[] isNullVector = vector.isNull; - if (fieldIdx == -1) { // set list as an object - for (int i = 0; offset < childCount; i++) { - temp = new float[(int) lengthVector[i]]; - for (int j = 0; j < temp.length; j++) { - if (isNullVector[offset]) { - offset++; - continue; - } - temp[j] = (float) vector.vector[offset++]; - } - rows[i] = temp; - } - } else { // set list as a field of Row - for (int i = 0; i < childCount; i++) { - temp = new float[(int) lengthVector[i]]; - for (int j = 0; j < temp.length; j++) { - if (isNullVector[offset]) { - offset++; - continue; - } - temp[j] = (float) vector.vector[offset++]; - } - ((Row) rows[i]).setField(fieldIdx, temp); - } - } - } - } - } - - private static void readDoubleColumn(Object[] rows, int fieldIdx, DoubleColumnVector vector, long[] lengthVector, int childCount) { - - // check if data type(dt) is directly in list or not, e.g, array
- if (lengthVector == null) { - if (vector.isRepeating) { // fill complete column with first value - // Also column contains null value and it's repeating - fillColumnWithRepeatingValue(rows, fieldIdx, null, childCount); - } else { - boolean[] isNullVector = vector.isNull; - if (fieldIdx == -1) { // set as an object - for (int i = 0; i < childCount; i++) { - if (isNullVector[i]) { - rows[i] = null; - continue; - } - rows[i] = vector.vector[i]; - } - } else { // set as field of Row - for (int i = 0; i < childCount; i++) { - if (isNullVector[i]) { - ((Row) rows[i]).setField(fieldIdx, null); - continue; + String[] temp; + boolean[] isNullVector = bytes.isNull; + for (int i = 0; offset < childCount; i++) { + temp = new String[(int) lengthVector[i]]; + for (int j = 0; j < temp.length; j++) { + if (isNullVector[offset]) { + offset++; + } else { + temp[j] = new String(bytes.vector[offset], bytes.start[offset], bytes.length[offset]); + offset++; } - ((Row) rows[i]).setField(fieldIdx, vector.vector[i]); } - } - } - } else { // in a list - if (vector.isRepeating) { // // fill complete list with first value - // Also column contains null value and it's repeating - // so all values are null, but we need to set list with null values - fillListWithRepeatingNull(rows, fieldIdx, double[].class, lengthVector, childCount); - } else { - // column contain null values - int offset = 0; - double[] temp; - boolean[] isNullVector = vector.isNull; - if (fieldIdx == -1) { // set list as an object - for (int i = 0; offset < childCount; i++) { - temp = new double[(int) lengthVector[i]]; - for (int j = 0; j < temp.length; j++) { - if (isNullVector[offset]) { - offset++; - continue; - } - temp[j] = vector.vector[offset++]; - } - rows[i] = temp; - } - } else { // set list as a field of Row - for (int i = 0; offset < childCount; i++) { - temp = new double[(int) lengthVector[i]]; - for (int j = 0; j < temp.length; j++) { - if (isNullVector[offset]) { - offset++; - continue; - } - temp[j] = vector.vector[offset++]; - } - ((Row) rows[i]).setField(fieldIdx, temp); + if (fieldIdx == -1) { + vals[i] = temp; + } else { + ((Row) vals[i]).setField(fieldIdx, temp); } } } } } - private static void readStringColumn(Object[] rows, int fieldIdx, BytesColumnVector bytes, long[] lengthVector, int childCount) { + private static void readBytesColumnAsBinary(Object[] vals, int fieldIdx, BytesColumnVector bytes, long[] lengthVector, int childCount) { - // check if string is directly in a list or not, e.g, array + // check if the binary need to be read into lists or as single values if (lengthVector == null) { if (bytes.isRepeating) { // fill complete column with first value - // Also column contains null value and it's repeating - fillColumnWithRepeatingValue(rows, fieldIdx, null, childCount); + // since the column contains null values and has just one distinct value, the repeated value is null + fillColumnWithRepeatingValue(vals, fieldIdx, null, childCount); } else { boolean[] isNullVector = bytes.isNull; if (fieldIdx == -1) { // set as an object for (int i = 0; i < childCount; i++) { if (isNullVector[i]) { - rows[i] = null; - continue; + vals[i] = null; + } else { + vals[i] = readBinary(bytes.vector[i], bytes.start[i], bytes.length[i]); } - rows[i] = new String(bytes.vector[i], bytes.start[i], bytes.length[i]); } } else { // set as a field of Row + Row[] rows = (Row[]) vals; for (int i = 0; i < childCount; i++) { if (isNullVector[i]) { - ((Row) rows[i]).setField(fieldIdx, null); - continue; + rows[i].setField(fieldIdx, null); + } else { + rows[i].setField(fieldIdx, readBinary(bytes.vector[i], bytes.start[i], bytes.length[i])); } - ((Row) rows[i]).setField(fieldIdx, new String(bytes.vector[i], bytes.start[i], bytes.length[i])); } } } - } else { // in a list - if (bytes.isRepeating) { // fill list with first value - // Also column contains null value and it's repeating - // so all values are null, but we need to set list with null values - fillListWithRepeatingNull(rows, fieldIdx, String[].class, lengthVector, childCount); + } else { + if (bytes.isRepeating) { // fill complete list with first value + // since the column contains null values and has just one distinct value, the repeated value is null + fillListWithRepeatingNull(vals, fieldIdx, lengthVector, childCount, OrcUtils::binaryArray); } else { int offset = 0; - String[] temp; + byte[][] temp; boolean[] isNullVector = bytes.isNull; - if (fieldIdx == -1) { // set list as an object - for (int i = 0; offset < childCount; i++) { - temp = new String[(int) lengthVector[i]]; - for (int j = 0; j < temp.length; j++) { - if (isNullVector[offset]) { - offset++; - temp[j] = null; - continue; // skip null value - } - temp[j] = new String(bytes.vector[offset], bytes.start[offset], bytes.length[offset]); + for (int i = 0; offset < childCount; i++) { + temp = new byte[(int) lengthVector[i]][]; + for (int j = 0; j < temp.length; j++) { + if (isNullVector[offset]) { offset++; - } - rows[i] = temp; - } - } else { // set list as a field - for (int i = 0; offset < childCount; i++) { - temp = new String[(int) lengthVector[i]]; - for (int j = 0; j < temp.length; j++) { - if (isNullVector[offset]) { - offset++; - temp[j] = null; - continue; // skip null value - } - temp[j] = new String(bytes.vector[offset], bytes.start[offset], bytes.length[offset]); + } else { + temp[j] = readBinary(bytes.vector[offset], bytes.start[offset], bytes.length[offset]); offset++; } - ((Row) rows[i]).setField(fieldIdx, temp); + } + if (fieldIdx == -1) { + vals[i] = temp; + } else { + ((Row) vals[i]).setField(fieldIdx, temp); } } } } - } - private static void readDateColumn(Object[] rows, int fieldIdx, LongColumnVector vector, long[] lengthVector, int childCount) { + private static void readLongColumnAsDate(Object[] vals, int fieldIdx, LongColumnVector vector, long[] lengthVector, int childCount) { - // check if date is directly in a list or not, e.g, array + // check if the values need to be read into lists or as single values if (lengthVector == null) { if (vector.isRepeating) { // fill complete column with first value - // Also column contains null value and it's repeating - fillColumnWithRepeatingValue(rows, fieldIdx, null, childCount); + // since the column contains null values and has just one distinct value, the repeated value is null + fillColumnWithRepeatingValue(vals, fieldIdx, null, childCount); } else { boolean[] isNullVector = vector.isNull; if (fieldIdx == -1) { // set as an object for (int i = 0; i < childCount; i++) { if (isNullVector[i]) { - rows[i] = null; - continue; + vals[i] = null; + } else { + vals[i] = readDate(vector.vector[i]); } - rows[i] = readDate(vector.vector[i]); } } else { // set as a field of Row + Row[] rows = (Row[]) vals; for (int i = 0; i < childCount; i++) { if (isNullVector[i]) { - ((Row) rows[i]).setField(fieldIdx, null); - continue; + rows[i].setField(fieldIdx, null); + } else { + rows[i].setField(fieldIdx, readDate(vector.vector[i])); } - ((Row) rows[i]).setField(fieldIdx, readDate(vector.vector[i])); } } } - } else { - if (vector.isRepeating) { // fill complete list with first value - // Also column contains null value and it's repeating - // so all values are null, but we need to set list with null values - fillListWithRepeatingNull(rows, fieldIdx, Date[].class, lengthVector, childCount); + } else { // in a list + if (vector.isRepeating) { // // fill complete list with first value + // since the column contains null values and has just one distinct value, the repeated value is null + fillListWithRepeatingNull(vals, fieldIdx, lengthVector, childCount, OrcUtils::dateArray); } else { + // column contain null values int offset = 0; Date[] temp; boolean[] isNullVector = vector.isNull; - if (fieldIdx == -1) { // set list as an object - for (int i = 0; offset < childCount; i++) { - temp = new Date[(int) lengthVector[i]]; - for (int j = 0; j < temp.length; j++) { - if (isNullVector[offset]) { - offset++; - temp[j] = null; - continue; - } - temp[j] = readDate(vector.vector[offset++]); - } - rows[i] = temp; - } - } else { // set list as a field of Row - for (int i = 0; offset < childCount; i++) { - temp = new Date[(int) lengthVector[i]]; - for (int j = 0; j < temp.length; j++) { - if (isNullVector[offset]) { - offset++; - temp[j] = null; - continue; - } + for (int i = 0; offset < childCount; i++) { + temp = new Date[(int) lengthVector[i]]; + for (int j = 0; j < temp.length; j++) { + if (isNullVector[offset]) { + offset++; + } else { temp[j] = readDate(vector.vector[offset++]); } - ((Row) rows[i]).setField(fieldIdx, temp); + } + if (fieldIdx == -1) { + vals[i] = temp; + } else { + ((Row) vals[i]).setField(fieldIdx, temp); } } } } - } - private static void readTimestampColumn(Object[] rows, int fieldIdx, TimestampColumnVector vector, long[] lengthVector, int childCount) { + private static void readTimestampColumn(Object[] vals, int fieldIdx, TimestampColumnVector vector, long[] lengthVector, int childCount) { - // check if timestamp is directly in a list or not, e.g, array + // check if the timestamps need to be read into lists or as single values if (lengthVector == null) { if (vector.isRepeating) { // fill complete column with first value - // Also column contains null value and it's repeating - fillColumnWithRepeatingValue(rows, fieldIdx, null, childCount); + // since the column contains null values and has just one distinct value, the repeated value is null + fillColumnWithRepeatingValue(vals, fieldIdx, null, childCount); } else { boolean[] isNullVector = vector.isNull; if (fieldIdx == -1) { // set as an object for (int i = 0; i < childCount; i++) { if (isNullVector[i]) { - rows[i] = null; - continue; + vals[i] = null; + } else { + Timestamp ts = readTimestamp(vector.time[i], vector.nanos[i]); + vals[i] = ts; } - Timestamp ts = new Timestamp(vector.time[i]); - ts.setNanos(vector.nanos[i]); - rows[i] = ts; } } else { // set as a field of Row + Row[] rows = (Row[]) vals; for (int i = 0; i < childCount; i++) { if (isNullVector[i]) { - ((Row) rows[i]).setField(fieldIdx, null); - continue; + rows[i].setField(fieldIdx, null); + } else { + Timestamp ts = readTimestamp(vector.time[i], vector.nanos[i]); + rows[i].setField(fieldIdx, ts); } - Timestamp ts = new Timestamp(vector.time[i]); - ts.setNanos(vector.nanos[i]); - ((Row) rows[i]).setField(fieldIdx, ts); } } } - } - else { + } else { if (vector.isRepeating) { // fill complete list with first value - // Also column contains null value and it's repeating - // so all values are null, but we need to set list with null values - fillListWithRepeatingNull(rows, fieldIdx, Timestamp[].class, lengthVector, childCount); + // since the column contains null values and has just one distinct value, the repeated value is null + fillListWithRepeatingNull(vals, fieldIdx, lengthVector, childCount, OrcUtils::timestampArray); } else { int offset = 0; Timestamp[] temp; boolean[] isNullVector = vector.isNull; - if (fieldIdx == -1) { // set list as an object - for (int i = 0; offset < childCount; i++) { - temp = new Timestamp[(int) lengthVector[i]]; - for (int j = 0; j < temp.length; j++) { - if (isNullVector[offset]) { - offset++; - temp[j] = null; - continue; - } - temp[j] = new Timestamp(vector.time[offset]); - temp[j].setNanos(vector.nanos[offset]); + for (int i = 0; offset < childCount; i++) { + temp = new Timestamp[(int) lengthVector[i]]; + for (int j = 0; j < temp.length; j++) { + if (isNullVector[offset]) { offset++; - } - rows[i] = temp; - } - } else { // set list as a field of Row - for (int i = 0; offset < childCount; i++) { - temp = new Timestamp[(int) lengthVector[i]]; - for (int j = 0; j < temp.length; j++) { - if (isNullVector[offset]) { - offset++; - temp[j] = null; - continue; - } - temp[j] = new Timestamp(vector.time[offset]); - temp[j].setNanos(vector.nanos[offset]); + } else { + temp[j] = readTimestamp(vector.time[offset], vector.nanos[offset]); offset++; } - ((Row) rows[i]).setField(fieldIdx, temp); - } - } - } - } - } - - private static void readBinaryColumn(Object[] rows, int fieldIdx, BytesColumnVector bytes, long[] lengthVector, int childCount) { - - // check if string is directly in a list or not, e.g, array - if (lengthVector == null) { - if (bytes.isRepeating) { // fill complete column with first value - // Also column contains null value and it's repeating - fillColumnWithRepeatingValue(rows, fieldIdx, null, childCount); - } else { - boolean[] isNullVectorIndex = bytes.isNull; - if (fieldIdx == -1) { // set as an object - for (int i = 0; i < childCount; i++) { - if (isNullVectorIndex[i]) { - rows[i] = null; - continue; - } - rows[i] = readBinary(bytes.vector[i], bytes.start[i], bytes.length[i]); - } - } else { // set as a field of Row - for (int i = 0; i < childCount; i++) { - if (isNullVectorIndex[i]) { - ((Row) rows[i]).setField(fieldIdx, null); - continue; - } - ((Row) rows[i]).setField(fieldIdx, readBinary(bytes.vector[i], bytes.start[i], bytes.length[i])); } - } - } - } else { - if (bytes.isRepeating) { // fill complete list with first value - // Also column contains null value and it's repeating - // so all values are null, but we need to set list with null values - fillListWithRepeatingNull(rows, fieldIdx, byte[][].class, lengthVector, childCount); - } else { - int offset = 0; - byte[][] temp; - boolean[] isNullVector = bytes.isNull; - if (fieldIdx == -1) { // set list as an object - for (int i = 0; offset < childCount; i++) { - temp = new byte[(int) lengthVector[i]][]; - for (int j = 0; j < temp.length; j++) { - if (isNullVector[offset]) { - offset++; - temp[j] = null; - continue; - } - temp[j] = readBinary(bytes.vector[offset], bytes.start[offset], bytes.length[offset]); - offset++; - } - rows[i] = temp; - } - } else { // set list as a field - for (int i = 0; offset < childCount; i++) { - temp = new byte[(int) lengthVector[i]][]; - for (int j = 0; j < temp.length; j++) { - if (isNullVector[offset]) { - offset++; - temp[j] = null; - continue; - } - temp[j] = readBinary(bytes.vector[offset], bytes.start[offset], bytes.length[offset]); - offset++; - } - ((Row) rows[i]).setField(fieldIdx, temp); + if (fieldIdx == -1) { + vals[i] = temp; + } else { + ((Row) vals[i]).setField(fieldIdx, temp); } } } } } - private static void readDecimalColumn(Object[] rows, int fieldIdx, DecimalColumnVector vector, long[] lengthVector, int childCount) { + private static void readDecimalColumn(Object[] vals, int fieldIdx, DecimalColumnVector vector, long[] lengthVector, int childCount) { - // check if decimal is directly in a list or not, e.g, array + // check if the decimals need to be read into lists or as single values if (lengthVector == null) { if (vector.isRepeating) { // fill complete column with first value - // Also column contains null value and it's repeating - fillColumnWithRepeatingValue(rows, fieldIdx, null, childCount); + // since the column contains null values and has just one distinct value, the repeated value is null + fillColumnWithRepeatingValue(vals, fieldIdx, null, childCount); } else { boolean[] isNullVector = vector.isNull; if (fieldIdx == -1) { // set as an object for (int i = 0; i < childCount; i++) { if (isNullVector[i]) { - rows[i] = null; - continue; + vals[i] = null; + } else { + vals[i] = readBigDecimal(vector.vector[i]); } - rows[i] = readBigDecimal(vector.vector[i]); } } else { // set as a field of Row + Row[] rows = (Row[]) vals; for (int i = 0; i < childCount; i++) { if (isNullVector[i]) { - ((Row) rows[i]).setField(fieldIdx, null); - continue; + rows[i].setField(fieldIdx, null); + } else { + rows[i].setField(fieldIdx, readBigDecimal(vector.vector[i])); } - ((Row) rows[i]).setField(fieldIdx, readBigDecimal(vector.vector[i])); } } } } else { if (vector.isRepeating) { // fill complete list with first value - // Also column contains null value and it's repeating - // so all values are null, but we need to set list with null values - fillListWithRepeatingNull(rows, fieldIdx, BigDecimal[].class, lengthVector, childCount); + // since the column contains null values and has just one distinct value, the repeated value is null + fillListWithRepeatingNull(vals, fieldIdx, lengthVector, childCount, OrcUtils::decimalArray); } else { int offset = 0; BigDecimal[] temp; boolean[] isNullVector = vector.isNull; - if (fieldIdx == -1) { // set list as an object - for (int i = 0; offset < childCount; i++) { - temp = new BigDecimal[(int) lengthVector[i]]; - for (int j = 0; j < temp.length; j++) { - if (isNullVector[offset]) { - offset++; - temp[j] = null; - continue; - } - temp[j] = readBigDecimal(vector.vector[offset++]); - } - rows[i] = temp; - } - } else { // set list as a field of Row - for (int i = 0; offset < childCount; i++) { - temp = new BigDecimal[(int) lengthVector[i]]; - for (int j = 0; j < temp.length; j++) { - if (isNullVector[offset]) { - offset++; - temp[j] = null; - continue; - } + for (int i = 0; offset < childCount; i++) { + temp = new BigDecimal[(int) lengthVector[i]]; + for (int j = 0; j < temp.length; j++) { + if (isNullVector[offset]) { + offset++; + } else { temp[j] = readBigDecimal(vector.vector[offset++]); } - ((Row) rows[i]).setField(fieldIdx, temp); + } + if (fieldIdx == -1) { + vals[i] = temp; + } else { + ((Row) vals[i]).setField(fieldIdx, temp); } } } } } - private static void readStructColumn(Object[] rows, int fieldIdx, StructColumnVector struct, TypeDescription schema, long[] lengthVector, int childCount) { + private static void readStructColumn(Object[] vals, int fieldIdx, StructColumnVector structVector, TypeDescription schema, long[] lengthVector, int childCount) { List childrenTypes = schema.getChildren(); - int numChildren = childrenTypes.size(); - Row[] nestedFields = new Row[childCount]; + int numFields = childrenTypes.size(); + // create a batch of Rows to read the structs + Row[] structs = new Row[childCount]; + // TODO: possible improvement: reuse existing Row objects for (int i = 0; i < childCount; i++) { - nestedFields[i] = new Row(numChildren); + structs[i] = new Row(numFields); } - for (int i = 0; i < numChildren; i++) { - readField(nestedFields, i, childrenTypes.get(i), struct.fields[i], null, childCount); + + // read struct fields + for (int i = 0; i < numFields; i++) { + readField(structs, i, childrenTypes.get(i), structVector.fields[i], null, childCount); } - boolean[] isNullVector = struct.isNull; + boolean[] isNullVector = structVector.isNull; - // check if struct is directly in a list or not, e.g, array> + // check if the structs need to be read into lists or as single values if (lengthVector == null) { if (fieldIdx == -1) { // set struct as an object for (int i = 0; i < childCount; i++) { if (isNullVector[i]) { - rows[i] = null; - continue; + vals[i] = null; + } else { + vals[i] = structs[i]; } - rows[i] = nestedFields[i]; } } else { // set struct as a field of Row + Row[] rows = (Row[]) vals; for (int i = 0; i < childCount; i++) { if (isNullVector[i]) { - ((Row) rows[i]).setField(fieldIdx, null); - continue; + rows[i].setField(fieldIdx, null); + } else { + rows[i].setField(fieldIdx, structs[i]); } - ((Row) rows[i]).setField(fieldIdx, nestedFields[i]); } } } else { // struct in a list int offset = 0; Row[] temp; - if (fieldIdx == -1) { // set list of struct as an object - for (int i = 0; offset < childCount; i++) { - temp = new Row[(int) lengthVector[i]]; - for (int j = 0; j < temp.length; j++) { - if (isNullVector[offset]) { - temp[j] = null; - continue; - } - temp[j] = nestedFields[offset++]; + for (int i = 0; offset < childCount; i++) { + temp = new Row[(int) lengthVector[i]]; + for (int j = 0; j < temp.length; j++) { + if (isNullVector[offset]) { + temp[j] = null; + } else { + temp[j] = structs[offset++]; } - rows[i] = temp; } - } - else { // set list of struct as a field of Row - for (int i = 0; offset < childCount; i++) { - temp = new Row[(int) lengthVector[i]]; - for (int j = 0; j < temp.length; j++) { - if (isNullVector[offset]) { - temp[j] = null; - continue; - } - temp[j] = nestedFields[offset++]; - } - ((Row) rows[i]).setField(fieldIdx, temp); + if (fieldIdx == -1) { // set list of structs as an object + vals[i] = temp; + } else { // set list of structs as field of row + ((Row) vals[i]).setField(fieldIdx, temp); } } } } - private static void readListColumn(Object[] rows, int fieldIdx, ListColumnVector list, TypeDescription schema, long[] lengthVector, int childCount) { + private static void readListColumn(Object[] vals, int fieldIdx, ListColumnVector list, TypeDescription schema, long[] lengthVector, int childCount) { TypeDescription fieldType = schema.getChildren().get(0); + // check if the lists need to be read into lists or as single values if (lengthVector == null) { long[] lengthVectorNested = list.lengths; - readField(rows, fieldIdx, fieldType, list.child, lengthVectorNested, list.childCount); - } - else { // list in a list - + readField(vals, fieldIdx, fieldType, list.child, lengthVectorNested, list.childCount); + } else { // list in a list Object[] nestedList = new Object[childCount]; - // length vector for nested list long[] lengthVectorNested = list.lengths; - // read nested list readField(nestedList, -1, fieldType, list.child, lengthVectorNested, list.childCount); - // get type of nestedList - Class classType = nestedList[0].getClass(); - // fill outer list with nested list int offset = 0; int length; - if (fieldIdx == -1) { // set list of list as an object - for (int i = 0; offset < childCount; i++) { - length = (int) lengthVector[i]; - Object temp = Array.newInstance(classType, length); - System.arraycopy(nestedList, offset, temp, 0, length); - offset = offset + length; - rows[i] = temp; - - } - } else { // set list of list as an field on Row - for (int i = 0; offset < childCount; i++) { - length = (int) lengthVector[i]; - Object temp = Array.newInstance(classType, length); - System.arraycopy(nestedList, offset, temp, 0, length); - offset = offset + length; - ((Row) rows[i]).setField(fieldIdx, temp); + // get type of nestedList + Class classType = nestedList[0].getClass(); + for (int i = 0; offset < childCount; i++) { + length = (int) lengthVector[i]; + Object[] temp = (Object[]) Array.newInstance(classType, length); + System.arraycopy(nestedList, offset, temp, 0, length); + offset = offset + length; + if (fieldIdx == -1) { // set list of list as an object + vals[i] = temp; + } else { // set list of list as field of row + ((Row) vals[i]).setField(fieldIdx, temp); } } } } - private static void readMapColumn(Object[] rows, int fieldIdx, MapColumnVector map, TypeDescription schema, long[] lengthVector, int childCount) { + private static void readMapColumn(Object[] vals, int fieldIdx, MapColumnVector map, TypeDescription schema, long[] lengthVector, int childCount) { List fieldType = schema.getChildren(); TypeDescription keyType = fieldType.get(0); @@ -2134,27 +1296,28 @@ private static void readMapColumn(Object[] rows, int fieldIdx, MapColumnVector m boolean[] isNullVector = map.isNull; - // check if map is directly in a list or not, e.g, array> + // check if the maps need to be read into lists or as single values if (lengthVector == null) { long[] lengthVectorMap = map.lengths; int offset = 0; if (fieldIdx == -1) { // set map as an object for (int i = 0; i < childCount; i++) { if (isNullVector[i]) { - rows[i] = null; - continue; + vals[i] = null; + } else { + vals[i] = readHashMap(keyRows, valueRows, offset, lengthVectorMap[i]); + offset += lengthVectorMap[i]; } - rows[i] = readHashMap(keyRows, valueRows, offset, lengthVectorMap[i]); - offset += lengthVectorMap[i]; } } else { // set map as a field of Row + Row[] rows = (Row[]) vals; for (int i = 0; i < childCount; i++) { if (isNullVector[i]) { - ((Row) rows[i]).setField(fieldIdx, null); - continue; + rows[i].setField(fieldIdx, null); + } else { + rows[i].setField(fieldIdx, readHashMap(keyRows, valueRows, offset, lengthVectorMap[i])); + offset += lengthVectorMap[i]; } - ((Row) rows[i]).setField(fieldIdx, readHashMap(keyRows, valueRows, offset, lengthVectorMap[i])); - offset += lengthVectorMap[i]; } } } else { // list of map @@ -2162,41 +1325,110 @@ private static void readMapColumn(Object[] rows, int fieldIdx, MapColumnVector m int mapOffset = 0; // offset of map element int offset = 0; // offset of map HashMap[] temp; - if (fieldIdx == -1) { // set map list as an object - for (int i = 0; offset < childCount; i++) { - temp = new HashMap[(int) lengthVector[i]]; - for (int j = 0; j < temp.length; j++) { - if (isNullVector[offset]) { - temp[j] = null; - continue; - } + + for (int i = 0; offset < childCount; i++) { + temp = new HashMap[(int) lengthVector[i]]; + for (int j = 0; j < temp.length; j++) { + if (isNullVector[offset]) { + temp[j] = null; + } else { temp[j] = readHashMap(keyRows, valueRows, mapOffset, lengthVectorMap[offset]); mapOffset += lengthVectorMap[offset]; offset++; } - rows[i] = temp; } - } else { // set map list as a field of Row - for (int i = 0; offset < childCount; i++) { - temp = new HashMap[(int) lengthVector[i]]; - for (int j = 0; j < temp.length; j++) { - if (isNullVector[offset]) { - temp[j] = null; - continue; - } - temp[j] = readHashMap(keyRows, valueRows, mapOffset, lengthVectorMap[offset]); - mapOffset += lengthVectorMap[offset]; - offset++; - } - ((Row) rows[i]).setField(fieldIdx, temp); + if (fieldIdx == -1) { + vals[i] = temp; + } else { + ((Row) vals[i]).setField(fieldIdx, temp); } } } } - private static BigDecimal readBigDecimal(HiveDecimalWritable hiveDecimalWritable) { - HiveDecimal hiveDecimal = hiveDecimalWritable.getHiveDecimal(); - return hiveDecimal.bigDecimalValue(); + /** + * Sets a repeating value to all objects or row fields of the passed vals array. + * + * @param vals The array of objects or Rows. + * @param fieldIdx If the objs array is an array of Row, the index of the field that needs to be filled. + * Otherwise a -1 must be passed and the data is directly filled into the array. + * @param repeatingValue The value that is set. + * @param childCount The number of times the value is set. + */ + private static void fillColumnWithRepeatingValue(Object[] vals, int fieldIdx, Object repeatingValue, int childCount) { + + if (fieldIdx == -1) { + // set value as an object + Arrays.fill(vals, 0, childCount, repeatingValue); + } else { + // set value as a field of Row + Row[] rows = (Row[]) vals; + for (int i = 0; i < childCount; i++) { + rows[i].setField(fieldIdx, repeatingValue); + } + } + } + + /** + * Sets arrays containing only null values to all objects or row fields of the passed vals array. + * + * @param vals The array of objects or Rows to which the empty arrays are set. + * @param fieldIdx If the objs array is an array of Row, the index of the field that needs to be filled. + * Otherwise a -1 must be passed and the data is directly filled into the array. + * @param lengthVector The vector containing the lengths of the individual empty arrays. + * @param childCount The number of objects or Rows to fill. + * @param array A method to create arrays of the appropriate type. + * @param The type of the arrays to create. + */ + private static void fillListWithRepeatingNull(Object[] vals, int fieldIdx, long[] lengthVector, int childCount, IntFunction array) { + + if (fieldIdx == -1) { + // set empty array as object + for (int i = 0; i < childCount; i++) { + vals[i] = array.apply((int) lengthVector[i]); + } + } else { + // set empty array as field in Row + Row[] rows = (Row[]) vals; + for (int i = 0; i < childCount; i++) { + rows[i].setField(fieldIdx, array.apply((int) lengthVector[i])); + } + } + } + + private static Boolean readBoolean(long l) { + return l != 0; + } + + private static Byte readByte(long l) { + return (byte) l; + } + + private static Short readShort(long l) { + return (short) l; + } + + private static Integer readInt(long l) { + return (int) l; + } + + private static Long readLong(long l) { + return l; + } + + private static Float readFloat(double d) { + return (float) d; + } + + private static Double readDouble(double d) { + return d; + } + + private static Date readDate(long l) { + // day to milliseconds + final long t = l * MILLIS_PER_DAY; + // adjust by local timezone + return new java.sql.Date(t - LOCAL_TZ.getOffset(t)); } private static byte[] readBinary(byte[] src, int srcPos, int length) { @@ -2205,19 +1437,18 @@ private static byte[] readBinary(byte[] src, int srcPos, int length) { return result; } - private static Timestamp readTimeStamp(long time, int nanos) { + private static BigDecimal readBigDecimal(HiveDecimalWritable hiveDecimalWritable) { + HiveDecimal hiveDecimal = hiveDecimalWritable.getHiveDecimal(); + return hiveDecimal.bigDecimalValue(); + } + + private static Timestamp readTimestamp(long time, int nanos) { Timestamp ts = new Timestamp(time); ts.setNanos(nanos); return ts; } - private static Date readDate(long days) { - // day to milliseconds - return new Date(days * 24 * 60 * 60 * 1000); - } - private static HashMap readHashMap(Object[] keyRows, Object[] valueRows, int offset, long length) { - HashMap resultMap = new HashMap<>(); for (int j = 0; j < length; j++) { resultMap.put(keyRows[offset], valueRows[offset]); @@ -2226,4 +1457,52 @@ private static HashMap readHashMap(Object[] keyRows, Object[] valueRows, int off return resultMap; } + private static Boolean[] boolArray(int len) { + return new Boolean[len]; + } + + private static Byte[] byteArray(int len) { + return new Byte[len]; + } + + private static Short[] shortArray(int len) { + return new Short[len]; + } + + private static Integer[] intArray(int len) { + return new Integer[len]; + } + + private static Long[] longArray(int len) { + return new Long[len]; + } + + private static Float[] floatArray(int len) { + return new Float[len]; + } + + private static Double[] doubleArray(int len) { + return new Double[len]; + } + + private static Date[] dateArray(int len) { + return new Date[len]; + } + + private static byte[][] binaryArray(int len) { + return new byte[len][]; + } + + private static String[] stringArray(int len) { + return new String[len]; + } + + private static BigDecimal[] decimalArray(int len) { + return new BigDecimal[len]; + } + + private static Timestamp[] timestampArray(int len) { + return new Timestamp[len]; + } + } diff --git a/flink-connectors/flink-orc/src/main/java/org/apache/flink/orc/RowOrcInputFormat.java b/flink-connectors/flink-orc/src/main/java/org/apache/flink/orc/RowOrcInputFormat.java deleted file mode 100644 index 0c9c549aed2cf..0000000000000 --- a/flink-connectors/flink-orc/src/main/java/org/apache/flink/orc/RowOrcInputFormat.java +++ /dev/null @@ -1,241 +0,0 @@ -/* - * Licensed to the Apache Software Foundation (ASF) under one - * or more contributor license agreements. See the NOTICE file - * distributed with this work for additional information - * regarding copyright ownership. The ASF licenses this file - * to you under the Apache License, Version 2.0 (the - * "License"); you may not use this file except in compliance - * with the License. You may obtain a copy of the License at - * - * http://www.apache.org/licenses/LICENSE-2.0 - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, - * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. - * See the License for the specific language governing permissions and - * limitations under the License. - */ - -package org.apache.flink.orc; - -import org.apache.flink.api.common.io.FileInputFormat; -import org.apache.flink.api.common.typeinfo.TypeInformation; -import org.apache.flink.api.java.typeutils.ResultTypeQueryable; -import org.apache.flink.api.java.typeutils.RowTypeInfo; -import org.apache.flink.core.fs.FileInputSplit; -import org.apache.flink.core.fs.Path; -import org.apache.flink.types.Row; -import org.apache.flink.util.Preconditions; - -import org.apache.hadoop.conf.Configuration; -import org.apache.hadoop.hive.ql.exec.vector.VectorizedRowBatch; - -import org.apache.orc.OrcConf; -import org.apache.orc.OrcFile; -import org.apache.orc.Reader; -import org.apache.orc.RecordReader; -import org.apache.orc.TypeDescription; - -import org.slf4j.Logger; -import org.slf4j.LoggerFactory; - -import java.io.IOException; -import java.io.ObjectInputStream; -import java.io.ObjectOutputStream; - -import static org.apache.flink.orc.OrcUtils.fillRows; - -/** - * InputFormat to read ORC data. - * For Optimization, reading is done in batch instead of a single row. - */ -public class RowOrcInputFormat - extends FileInputFormat - implements ResultTypeQueryable { - - private static final Logger LOG = LoggerFactory.getLogger(RowOrcInputFormat.class); - private static final int BATCH_SIZE = 1024; - - private org.apache.hadoop.conf.Configuration config; - private TypeDescription schema; - private int[] fieldMapping; - - private transient RowTypeInfo rowType; - private transient RecordReader orcRowsReader; - private transient VectorizedRowBatch rowBatch; - private transient Row[] rows; - - private transient int rowInBatch; - - public RowOrcInputFormat(String path, String schemaString, Configuration orcConfig) { - this(path, TypeDescription.fromString(schemaString), orcConfig); - } - - public RowOrcInputFormat(String path, TypeDescription orcSchema, Configuration orcConfig) { - super(new Path(path)); - this.unsplittable = false; - this.schema = orcSchema; - this.rowType = (RowTypeInfo) OrcUtils.schemaToTypeInfo(schema); - this.config = orcConfig; - - this.fieldMapping = new int[this.schema.getChildren().size()]; - for (int i = 0; i < fieldMapping.length; i++) { - this.fieldMapping[i] = i; - } - - } - - public void setFieldMapping(int[] fieldMapping) { - this.fieldMapping = fieldMapping; - // adapt result type - - TypeInformation[] fieldTypes = new TypeInformation[fieldMapping.length]; - String[] fieldNames = new String[fieldMapping.length]; - for (int i = 0; i < fieldMapping.length; i++) { - fieldTypes[i] = this.rowType.getTypeAt(fieldMapping[i]); - fieldNames[i] = this.rowType.getFieldNames()[fieldMapping[i]]; - } - this.rowType = new RowTypeInfo(fieldTypes, fieldNames); - } - - private boolean[] computeProjectionMask() { - boolean[] projectionMask = new boolean[schema.getMaximumId() + 1]; - for (int inIdx : fieldMapping) { - TypeDescription fieldSchema = schema.getChildren().get(inIdx); - for (int i = fieldSchema.getId(); i <= fieldSchema.getMaximumId(); i++) { - projectionMask[i] = true; - } - } - return projectionMask; - } - - @Override - public void openInputFormat() throws IOException { - super.openInputFormat(); - this.rows = new Row[BATCH_SIZE]; - for (int i = 0; i < BATCH_SIZE; i++) { - rows[i] = new Row(fieldMapping.length); - } - } - - @Override - public void open(FileInputSplit fileSplit) throws IOException { - - this.currentSplit = fileSplit; - Preconditions.checkArgument(this.splitStart == 0, "ORC files must be read from the start."); - - if (LOG.isDebugEnabled()) { - LOG.debug("Opening ORC file " + fileSplit.getPath()); - } - - org.apache.hadoop.fs.Path hPath = new org.apache.hadoop.fs.Path(fileSplit.getPath().getPath()); - - Reader orcReader = OrcFile.createReader(hPath, OrcFile.readerOptions(config)); - - Reader.Options options = orcReader.options() - .range(fileSplit.getStart(), fileSplit.getLength()) - .useZeroCopy(OrcConf.USE_ZEROCOPY.getBoolean(config)) - .skipCorruptRecords(OrcConf.SKIP_CORRUPT_DATA.getBoolean(config)) - .tolerateMissingSchema(OrcConf.TOLERATE_MISSING_SCHEMA.getBoolean(config)); - - options.include(computeProjectionMask()); - - // check that schema of file is as expected - if (!this.schema.equals(orcReader.getSchema())) { - - throw new RuntimeException("Invalid schema for file at " + this.filePath + - " Expected:" + this.schema + " Actual: " + orcReader.getSchema()); - } - - this.orcRowsReader = orcReader.rows(options); - - // assign ids - this.schema.getId(); - - this.rowBatch = schema.createRowBatch(BATCH_SIZE); - rowInBatch = 0; - } - - @Override - public void close() throws IOException { - - if (orcRowsReader != null) { - this.orcRowsReader.close(); - } - this.orcRowsReader = null; - - } - - @Override - public void closeInputFormat() throws IOException { - this.rows = null; - this.rows = null; - this.schema = null; - this.rowBatch = null; - } - - @Override - public boolean reachedEnd() throws IOException { - return !ensureBatch(); - } - - private boolean ensureBatch() throws IOException { - - if (rowInBatch >= rowBatch.size) { - rowInBatch = 0; - boolean moreRows = orcRowsReader.nextBatch(rowBatch); - - if (moreRows) { - // read rows - fillRows(rows, schema, rowBatch, fieldMapping); - } - return moreRows; - } - - return true; - } - - @Override - public Row nextRecord(Row reuse) throws IOException { - return rows[this.rowInBatch++]; - } - - @Override - public TypeInformation getProducedType() { - return rowType; - } - - // -------------------------------------------------------------------------------------------- - // Custom serialization methods - // -------------------------------------------------------------------------------------------- - - private void writeObject(ObjectOutputStream out) throws IOException { - this.config.write(out); - out.writeUTF(schema.toString()); - - out.writeInt(fieldMapping.length); - for (int f : fieldMapping) { - out.writeInt(f); - } - - } - - @SuppressWarnings("unchecked") - private void readObject(ObjectInputStream in) throws IOException, ClassNotFoundException { - - org.apache.hadoop.conf.Configuration configuration = new org.apache.hadoop.conf.Configuration(); - configuration.readFields(in); - - if (this.config == null) { - this.config = configuration; - } - this.schema = TypeDescription.fromString(in.readUTF()); - - this.fieldMapping = new int[in.readInt()]; - for (int i = 0; i < fieldMapping.length; i++) { - this.fieldMapping[i] = in.readInt(); - } - - } - -} diff --git a/flink-connectors/flink-orc/src/test/java/org/apache/flink/orc/OrcRowInputFormatTest.java b/flink-connectors/flink-orc/src/test/java/org/apache/flink/orc/OrcRowInputFormatTest.java new file mode 100644 index 0000000000000..0efe41fd1525d --- /dev/null +++ b/flink-connectors/flink-orc/src/test/java/org/apache/flink/orc/OrcRowInputFormatTest.java @@ -0,0 +1,795 @@ +/* + * Licensed to the Apache Software Foundation (ASF) under one + * or more contributor license agreements. See the NOTICE file + * distributed with this work for additional information + * regarding copyright ownership. The ASF licenses this file + * to you under the Apache License, Version 2.0 (the + * "License"); you may not use this file except in compliance + * with the License. You may obtain a copy of the License at + * + * http://www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an "AS IS" BASIS, + * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + */ + +package org.apache.flink.orc; + +import org.apache.flink.api.common.typeinfo.PrimitiveArrayTypeInfo; +import org.apache.flink.api.common.typeinfo.TypeInformation; +import org.apache.flink.api.common.typeinfo.Types; +import org.apache.flink.api.java.typeutils.MapTypeInfo; +import org.apache.flink.api.java.typeutils.ObjectArrayTypeInfo; +import org.apache.flink.api.java.typeutils.RowTypeInfo; +import org.apache.flink.core.fs.FileInputSplit; +import org.apache.flink.core.fs.Path; +import org.apache.flink.types.Row; +import org.apache.flink.util.InstantiationUtil; + +import org.apache.hadoop.conf.Configuration; +import org.apache.hadoop.hive.ql.io.sarg.PredicateLeaf; +import org.apache.hadoop.hive.ql.io.sarg.SearchArgument; +import org.apache.orc.Reader; +import org.apache.orc.StripeInformation; +import org.junit.After; +import org.junit.Test; + +import java.io.FileNotFoundException; +import java.io.IOException; +import java.math.BigDecimal; +import java.sql.Date; +import java.sql.Timestamp; +import java.util.ArrayList; +import java.util.HashMap; +import java.util.List; + +import static org.junit.Assert.assertArrayEquals; +import static org.junit.Assert.assertEquals; +import static org.junit.Assert.assertFalse; +import static org.junit.Assert.assertNotNull; +import static org.junit.Assert.assertTrue; +import static org.mockito.Matchers.eq; +import static org.mockito.Mockito.any; +import static org.mockito.Mockito.doReturn; +import static org.mockito.Mockito.mock; +import static org.mockito.Mockito.spy; +import static org.mockito.Mockito.verify; +import static org.mockito.Mockito.when; + +/** + * Unit tests for {@link OrcRowInputFormat}. + * + */ +public class OrcRowInputFormatTest { + + private OrcRowInputFormat rowOrcInputFormat; + + @After + public void tearDown() throws IOException { + if (rowOrcInputFormat != null) { + rowOrcInputFormat.close(); + rowOrcInputFormat.closeInputFormat(); + } + rowOrcInputFormat = null; + } + + private static final String TEST_FILE_FLAT = "test-data-flat.orc"; + private static final String TEST_SCHEMA_FLAT = + "struct<_col0:int,_col1:string,_col2:string,_col3:string,_col4:int,_col5:string,_col6:int,_col7:int,_col8:int>"; + + private static final String TEST_FILE_NESTED = "test-data-nested.orc"; + private static final String TEST_SCHEMA_NESTED = + "struct<" + + "boolean1:boolean," + + "byte1:tinyint," + + "short1:smallint," + + "int1:int," + + "long1:bigint," + + "float1:float," + + "double1:double," + + "bytes1:binary," + + "string1:string," + + "middle:struct<" + + "list:array<" + + "struct<" + + "int1:int," + + "string1:string" + + ">" + + ">" + + ">," + + "list:array<" + + "struct<" + + "int1:int," + + "string1:string" + + ">" + + ">," + + "map:map<" + + "string," + + "struct<" + + "int1:int," + + "string1:string" + + ">" + + ">" + + ">"; + + private static final String TEST_FILE_TIMETYPES = "test-data-timetypes.orc"; + private static final String TEST_SCHEMA_TIMETYPES = "struct"; + + private static final String TEST_FILE_DECIMAL = "test-data-decimal.orc"; + private static final String TEST_SCHEMA_DECIMAL = "struct<_col0:decimal(10,5)>"; + + private static final String TEST_FILE_NESTEDLIST = "test-data-nestedlist.orc"; + private static final String TEST_SCHEMA_NESTEDLIST = "struct>>>"; + + @Test(expected = FileNotFoundException.class) + public void testInvalidPath() throws IOException{ + rowOrcInputFormat = + new OrcRowInputFormat("/does/not/exist", TEST_SCHEMA_FLAT, new Configuration()); + rowOrcInputFormat.openInputFormat(); + FileInputSplit[] inputSplits = rowOrcInputFormat.createInputSplits(1); + rowOrcInputFormat.open(inputSplits[0]); + } + + @Test(expected = IndexOutOfBoundsException.class) + public void testInvalidProjection1() throws IOException{ + rowOrcInputFormat = + new OrcRowInputFormat(getPath(TEST_FILE_FLAT), TEST_SCHEMA_FLAT, new Configuration()); + int[] projectionMask = {1, 2, 3, -1}; + rowOrcInputFormat.selectFields(projectionMask); + } + + @Test(expected = IndexOutOfBoundsException.class) + public void testInvalidProjection2() throws IOException{ + rowOrcInputFormat = + new OrcRowInputFormat(getPath(TEST_FILE_FLAT), TEST_SCHEMA_FLAT, new Configuration()); + int[] projectionMask = {1, 2, 3, 9}; + rowOrcInputFormat.selectFields(projectionMask); + } + + @Test + public void testProjectionMaskNested() throws IOException{ + rowOrcInputFormat = + new OrcRowInputFormat(getPath(TEST_FILE_NESTED), TEST_SCHEMA_NESTED, new Configuration()); + + OrcRowInputFormat spy = spy(rowOrcInputFormat); + + // mock options to check configuration of ORC reader + Reader.Options options = new Reader.Options(); + doReturn(options).when(spy).getOptions(any()); + + spy.selectFields(9, 11, 2); + spy.openInputFormat(); + FileInputSplit[] splits = spy.createInputSplits(1); + spy.open(splits[0]); + + // top-level struct is false + boolean[] expected = new boolean[]{ + false, // top level + false, false, // flat fields 0, 1 are out + true, // flat field 2 is in + false, false, false, false, false, false, // flat fields 3, 4, 5, 6, 7, 8 are out + true, true, true, true, true, // nested field 9 is in + false, false, false, false, // nested field 10 is out + true, true, true, true, true}; // nested field 11 is in + assertArrayEquals(expected, options.getInclude()); + } + + @Test + public void testSplitStripesGivenSplits() throws IOException { + rowOrcInputFormat = + new OrcRowInputFormat(getPath(TEST_FILE_FLAT), TEST_SCHEMA_FLAT, new Configuration()); + + OrcRowInputFormat spy = spy(rowOrcInputFormat); + + // mock options to check configuration of ORC reader + Reader.Options options = spy(new Reader.Options()); + doReturn(options).when(spy).getOptions(any()); + + FileInputSplit[] splits = spy.createInputSplits(3); + + spy.openInputFormat(); + spy.open(splits[0]); + verify(options).range(eq(3L), eq(137005L)); + spy.open(splits[1]); + verify(options).range(eq(137008L), eq(136182L)); + spy.open(splits[2]); + verify(options).range(eq(273190L), eq(123633L)); + } + + @Test + public void testSplitStripesCustomSplits() throws IOException { + rowOrcInputFormat = + new OrcRowInputFormat(getPath(TEST_FILE_FLAT), TEST_SCHEMA_FLAT, new Configuration()); + + OrcRowInputFormat spy = spy(rowOrcInputFormat); + + // mock list of stripes + List stripes = new ArrayList<>(); + StripeInformation stripe1 = mock(StripeInformation.class); + when(stripe1.getOffset()).thenReturn(10L); + when(stripe1.getLength()).thenReturn(90L); + StripeInformation stripe2 = mock(StripeInformation.class); + when(stripe2.getOffset()).thenReturn(100L); + when(stripe2.getLength()).thenReturn(100L); + StripeInformation stripe3 = mock(StripeInformation.class); + when(stripe3.getOffset()).thenReturn(200L); + when(stripe3.getLength()).thenReturn(100L); + StripeInformation stripe4 = mock(StripeInformation.class); + when(stripe4.getOffset()).thenReturn(300L); + when(stripe4.getLength()).thenReturn(100L); + StripeInformation stripe5 = mock(StripeInformation.class); + when(stripe5.getOffset()).thenReturn(400L); + when(stripe5.getLength()).thenReturn(100L); + stripes.add(stripe1); + stripes.add(stripe2); + stripes.add(stripe3); + stripes.add(stripe4); + stripes.add(stripe5); + doReturn(stripes).when(spy).getStripes(any()); + + // mock options to check configuration of ORC reader + Reader.Options options = spy(new Reader.Options()); + doReturn(options).when(spy).getOptions(any()); + + spy.openInputFormat(); + // split ranging 2 stripes + spy.open(new FileInputSplit(0, new Path(getPath(TEST_FILE_FLAT)), 0, 150, new String[]{})); + verify(options).range(eq(10L), eq(190L)); + // split ranging 0 stripes + spy.open(new FileInputSplit(1, new Path(getPath(TEST_FILE_FLAT)), 150, 10, new String[]{})); + verify(options).range(eq(0L), eq(0L)); + // split ranging 1 stripe + spy.open(new FileInputSplit(2, new Path(getPath(TEST_FILE_FLAT)), 160, 41, new String[]{})); + verify(options).range(eq(200L), eq(100L)); + // split ranging 2 stripe + spy.open(new FileInputSplit(3, new Path(getPath(TEST_FILE_FLAT)), 201, 299, new String[]{})); + verify(options).range(eq(300L), eq(200L)); + } + + @Test + public void testProducedType() throws IOException { + rowOrcInputFormat = + new OrcRowInputFormat(getPath(TEST_FILE_NESTED), TEST_SCHEMA_NESTED, new Configuration()); + + assertTrue(rowOrcInputFormat.getProducedType() instanceof RowTypeInfo); + RowTypeInfo producedType = (RowTypeInfo) rowOrcInputFormat.getProducedType(); + + assertArrayEquals( + new TypeInformation[]{ + // primitives + Types.BOOLEAN, Types.BYTE, Types.SHORT, Types.INT, Types.LONG, Types.FLOAT, Types.DOUBLE, + // binary + PrimitiveArrayTypeInfo.BYTE_PRIMITIVE_ARRAY_TYPE_INFO, + // string + Types.STRING, + // struct + Types.ROW_NAMED( + new String[]{"list"}, + ObjectArrayTypeInfo.getInfoFor( + Types.ROW_NAMED(new String[]{"int1", "string1"}, Types.INT, Types.STRING))), + // list + ObjectArrayTypeInfo.getInfoFor( + Types.ROW_NAMED(new String[]{"int1", "string1"}, Types.INT, Types.STRING)), + // map + new MapTypeInfo<>(Types.STRING, Types.ROW_NAMED(new String[]{"int1", "string1"}, Types.INT, Types.STRING)) + }, + producedType.getFieldTypes()); + assertArrayEquals( + new String[]{"boolean1", "byte1", "short1", "int1", "long1", "float1", "double1", "bytes1", "string1", "middle", "list", "map"}, + producedType.getFieldNames()); + } + + @Test + public void testProducedTypeWithProjection() throws IOException { + rowOrcInputFormat = + new OrcRowInputFormat(getPath(TEST_FILE_NESTED), TEST_SCHEMA_NESTED, new Configuration()); + + rowOrcInputFormat.selectFields(9, 3, 7, 10); + + assertTrue(rowOrcInputFormat.getProducedType() instanceof RowTypeInfo); + RowTypeInfo producedType = (RowTypeInfo) rowOrcInputFormat.getProducedType(); + + assertArrayEquals( + new TypeInformation[]{ + // struct + Types.ROW_NAMED( + new String[]{"list"}, + ObjectArrayTypeInfo.getInfoFor( + Types.ROW_NAMED(new String[]{"int1", "string1"}, Types.INT, Types.STRING))), + // int + Types.INT, + // binary + PrimitiveArrayTypeInfo.BYTE_PRIMITIVE_ARRAY_TYPE_INFO, + // list + ObjectArrayTypeInfo.getInfoFor( + Types.ROW_NAMED(new String[]{"int1", "string1"}, Types.INT, Types.STRING)) + }, + producedType.getFieldTypes()); + assertArrayEquals( + new String[]{"middle", "int1", "bytes1", "list"}, + producedType.getFieldNames()); + } + + @Test + public void testSerialization() throws Exception { + rowOrcInputFormat = + new OrcRowInputFormat(getPath(TEST_FILE_FLAT), TEST_SCHEMA_FLAT, new Configuration()); + + rowOrcInputFormat.selectFields(0, 4, 1); + rowOrcInputFormat.addPredicate( + new OrcRowInputFormat.Equals("_col1", PredicateLeaf.Type.STRING, "M")); + + byte[] bytes = InstantiationUtil.serializeObject(rowOrcInputFormat); + OrcRowInputFormat copy = InstantiationUtil.deserializeObject(bytes, getClass().getClassLoader()); + + FileInputSplit[] splits = copy.createInputSplits(1); + copy.openInputFormat(); + copy.open(splits[0]); + assertFalse(copy.reachedEnd()); + Row row = copy.nextRecord(null); + + assertNotNull(row); + assertEquals(3, row.getArity()); + // check first row + assertEquals(1, row.getField(0)); + assertEquals(500, row.getField(1)); + assertEquals("M", row.getField(2)); + } + + @Test + public void testNumericBooleanStringPredicates() throws Exception { + rowOrcInputFormat = + new OrcRowInputFormat(getPath(TEST_FILE_NESTED), TEST_SCHEMA_NESTED, new Configuration()); + + rowOrcInputFormat.selectFields(0, 1, 2, 3, 4, 5, 6, 8); + + // boolean pred + rowOrcInputFormat.addPredicate( + new OrcRowInputFormat.Equals("boolean1", PredicateLeaf.Type.BOOLEAN, false)); + // boolean pred + rowOrcInputFormat.addPredicate( + new OrcRowInputFormat.LessThan("byte1", PredicateLeaf.Type.LONG, 1)); + // boolean pred + rowOrcInputFormat.addPredicate( + new OrcRowInputFormat.LessThanEquals("short1", PredicateLeaf.Type.LONG, 1024)); + // boolean pred + rowOrcInputFormat.addPredicate( + new OrcRowInputFormat.Between("int1", PredicateLeaf.Type.LONG, -1, 65536)); + // boolean pred + rowOrcInputFormat.addPredicate( + new OrcRowInputFormat.Equals("long1", PredicateLeaf.Type.LONG, 9223372036854775807L)); + // boolean pred + rowOrcInputFormat.addPredicate( + new OrcRowInputFormat.Equals("float1", PredicateLeaf.Type.FLOAT, 1.0)); + // boolean pred + rowOrcInputFormat.addPredicate( + new OrcRowInputFormat.Equals("double1", PredicateLeaf.Type.FLOAT, -15.0)); + // boolean pred + rowOrcInputFormat.addPredicate( + new OrcRowInputFormat.IsNull("string1", PredicateLeaf.Type.STRING)); + // boolean pred + rowOrcInputFormat.addPredicate( + new OrcRowInputFormat.Equals("string1", PredicateLeaf.Type.STRING, "hello")); + + FileInputSplit[] splits = rowOrcInputFormat.createInputSplits(1); + rowOrcInputFormat.openInputFormat(); + + // mock options to check configuration of ORC reader + OrcRowInputFormat spy = spy(rowOrcInputFormat); + Reader.Options options = new Reader.Options(); + doReturn(options).when(spy).getOptions(any()); + + spy.openInputFormat(); + spy.open(splits[0]); + + // verify predicate configuration + SearchArgument sarg = options.getSearchArgument(); + assertNotNull(sarg); + assertEquals("(and leaf-0 leaf-1 leaf-2 leaf-3 leaf-4 leaf-5 leaf-6 leaf-7 leaf-8)", sarg.getExpression().toString()); + assertEquals(9, sarg.getLeaves().size()); + List leaves = sarg.getLeaves(); + assertEquals("(EQUALS boolean1 false)", leaves.get(0).toString()); + assertEquals("(LESS_THAN byte1 1)", leaves.get(1).toString()); + assertEquals("(LESS_THAN_EQUALS short1 1024)", leaves.get(2).toString()); + assertEquals("(BETWEEN int1 -1 65536)", leaves.get(3).toString()); + assertEquals("(EQUALS long1 9223372036854775807)", leaves.get(4).toString()); + assertEquals("(EQUALS float1 1.0)", leaves.get(5).toString()); + assertEquals("(EQUALS double1 -15.0)", leaves.get(6).toString()); + assertEquals("(IS_NULL string1)", leaves.get(7).toString()); + assertEquals("(EQUALS string1 hello)", leaves.get(8).toString()); + } + + @Test + public void testTimePredicates() throws Exception { + rowOrcInputFormat = + new OrcRowInputFormat(getPath(TEST_FILE_TIMETYPES), TEST_SCHEMA_TIMETYPES, new Configuration()); + + rowOrcInputFormat.addPredicate( + // OR + new OrcRowInputFormat.Or( + // timestamp pred + new OrcRowInputFormat.Equals("time", PredicateLeaf.Type.TIMESTAMP, Timestamp.valueOf("1900-05-05 12:34:56.100")), + // date pred + new OrcRowInputFormat.Equals("date", PredicateLeaf.Type.DATE, Date.valueOf("1900-12-25"))) + ); + + FileInputSplit[] splits = rowOrcInputFormat.createInputSplits(1); + rowOrcInputFormat.openInputFormat(); + + // mock options to check configuration of ORC reader + OrcRowInputFormat spy = spy(rowOrcInputFormat); + Reader.Options options = new Reader.Options(); + doReturn(options).when(spy).getOptions(any()); + + spy.openInputFormat(); + spy.open(splits[0]); + + // verify predicate configuration + SearchArgument sarg = options.getSearchArgument(); + assertNotNull(sarg); + assertEquals("(or leaf-0 leaf-1)", sarg.getExpression().toString()); + assertEquals(2, sarg.getLeaves().size()); + List leaves = sarg.getLeaves(); + assertEquals("(EQUALS time 1900-05-05 12:34:56.1)", leaves.get(0).toString()); + assertEquals("(EQUALS date 1900-12-25)", leaves.get(1).toString()); + } + + @Test + public void testDecimalPredicate() throws Exception { + rowOrcInputFormat = + new OrcRowInputFormat(getPath(TEST_FILE_DECIMAL), TEST_SCHEMA_DECIMAL, new Configuration()); + + rowOrcInputFormat.addPredicate( + new OrcRowInputFormat.Not( + // decimal pred + new OrcRowInputFormat.Equals("_col0", PredicateLeaf.Type.DECIMAL, BigDecimal.valueOf(-1000.5)))); + + FileInputSplit[] splits = rowOrcInputFormat.createInputSplits(1); + rowOrcInputFormat.openInputFormat(); + + // mock options to check configuration of ORC reader + OrcRowInputFormat spy = spy(rowOrcInputFormat); + Reader.Options options = new Reader.Options(); + doReturn(options).when(spy).getOptions(any()); + + spy.openInputFormat(); + spy.open(splits[0]); + + // verify predicate configuration + SearchArgument sarg = options.getSearchArgument(); + assertNotNull(sarg); + assertEquals("(not leaf-0)", sarg.getExpression().toString()); + assertEquals(1, sarg.getLeaves().size()); + List leaves = sarg.getLeaves(); + assertEquals("(EQUALS _col0 -1000.5)", leaves.get(0).toString()); + } + + @Test(expected = IllegalArgumentException.class) + public void testPredicateWithInvalidColumn() throws Exception { + rowOrcInputFormat = + new OrcRowInputFormat(getPath(TEST_FILE_NESTED), TEST_SCHEMA_NESTED, new Configuration()); + + rowOrcInputFormat.addPredicate( + new OrcRowInputFormat.Equals("unknown", PredicateLeaf.Type.LONG, 42)); + } + + @Test + public void testReadNestedFile() throws IOException{ + rowOrcInputFormat = new OrcRowInputFormat(getPath(TEST_FILE_NESTED), TEST_SCHEMA_NESTED, new Configuration()); + + FileInputSplit[] splits = rowOrcInputFormat.createInputSplits(1); + assertEquals(1, splits.length); + rowOrcInputFormat.openInputFormat(); + rowOrcInputFormat.open(splits[0]); + + assertFalse(rowOrcInputFormat.reachedEnd()); + Row row = rowOrcInputFormat.nextRecord(null); + + // validate first row + assertNotNull(row); + assertEquals(12, row.getArity()); + assertEquals(false, row.getField(0)); + assertEquals((byte) 1, row.getField(1)); + assertEquals((short) 1024, row.getField(2)); + assertEquals(65536, row.getField(3)); + assertEquals(9223372036854775807L, row.getField(4)); + assertEquals(1.0f, row.getField(5)); + assertEquals(-15.0d, row.getField(6)); + assertArrayEquals(new byte[]{0, 1, 2, 3, 4}, (byte[]) row.getField(7)); + assertEquals("hi", row.getField(8)); + // check nested field + assertTrue(row.getField(9) instanceof Row); + Row nested1 = (Row) row.getField(9); + assertEquals(1, nested1.getArity()); + assertTrue(nested1.getField(0) instanceof Object[]); + Object[] nestedList1 = (Object[]) nested1.getField(0); + assertEquals(2, nestedList1.length); + assertEquals(Row.of(1, "bye"), nestedList1[0]); + assertEquals(Row.of(2, "sigh"), nestedList1[1]); + // check list + assertTrue(row.getField(10) instanceof Object[]); + Object[] list1 = (Object[]) row.getField(10); + assertEquals(2, list1.length); + assertEquals(Row.of(3, "good"), list1[0]); + assertEquals(Row.of(4, "bad"), list1[1]); + // check map + assertTrue(row.getField(11) instanceof HashMap); + HashMap map1 = (HashMap) row.getField(11); + assertEquals(0, map1.size()); + + // read second row + assertFalse(rowOrcInputFormat.reachedEnd()); + row = rowOrcInputFormat.nextRecord(null); + + // validate second row + assertNotNull(row); + assertEquals(12, row.getArity()); + assertEquals(true, row.getField(0)); + assertEquals((byte) 100, row.getField(1)); + assertEquals((short) 2048, row.getField(2)); + assertEquals(65536, row.getField(3)); + assertEquals(9223372036854775807L, row.getField(4)); + assertEquals(2.0f, row.getField(5)); + assertEquals(-5.0d, row.getField(6)); + assertArrayEquals(new byte[]{}, (byte[]) row.getField(7)); + assertEquals("bye", row.getField(8)); + // check nested field + assertTrue(row.getField(9) instanceof Row); + Row nested2 = (Row) row.getField(9); + assertEquals(1, nested2.getArity()); + assertTrue(nested2.getField(0) instanceof Object[]); + Object[] nestedList2 = (Object[]) nested2.getField(0); + assertEquals(2, nestedList2.length); + assertEquals(Row.of(1, "bye"), nestedList2[0]); + assertEquals(Row.of(2, "sigh"), nestedList2[1]); + // check list + assertTrue(row.getField(10) instanceof Object[]); + Object[] list2 = (Object[]) row.getField(10); + assertEquals(3, list2.length); + assertEquals(Row.of(100000000, "cat"), list2[0]); + assertEquals(Row.of(-100000, "in"), list2[1]); + assertEquals(Row.of(1234, "hat"), list2[2]); + // check map + assertTrue(row.getField(11) instanceof HashMap); + HashMap map = (HashMap) row.getField(11); + assertEquals(2, map.size()); + assertEquals(Row.of(5, "chani"), map.get("chani")); + assertEquals(Row.of(1, "mauddib"), map.get("mauddib")); + + assertTrue(rowOrcInputFormat.reachedEnd()); + } + + @Test + public void testReadTimeTypeFile() throws IOException{ + rowOrcInputFormat = new OrcRowInputFormat(getPath(TEST_FILE_TIMETYPES), TEST_SCHEMA_TIMETYPES, new Configuration()); + + FileInputSplit[] splits = rowOrcInputFormat.createInputSplits(1); + assertEquals(1, splits.length); + rowOrcInputFormat.openInputFormat(); + rowOrcInputFormat.open(splits[0]); + + assertFalse(rowOrcInputFormat.reachedEnd()); + Row row = rowOrcInputFormat.nextRecord(null); + + // validate first row + assertNotNull(row); + assertEquals(2, row.getArity()); + assertEquals(Timestamp.valueOf("1900-05-05 12:34:56.1"), row.getField(0)); + assertEquals(Date.valueOf("1900-12-25"), row.getField(1)); + + // check correct number of rows + long cnt = 1; + while (!rowOrcInputFormat.reachedEnd()) { + assertNotNull(rowOrcInputFormat.nextRecord(null)); + cnt++; + } + assertEquals(70000, cnt); + } + + @Test + public void testReadDecimalTypeFile() throws IOException{ + rowOrcInputFormat = new OrcRowInputFormat(getPath(TEST_FILE_DECIMAL), TEST_SCHEMA_DECIMAL, new Configuration()); + + FileInputSplit[] splits = rowOrcInputFormat.createInputSplits(1); + assertEquals(1, splits.length); + rowOrcInputFormat.openInputFormat(); + rowOrcInputFormat.open(splits[0]); + + assertFalse(rowOrcInputFormat.reachedEnd()); + Row row = rowOrcInputFormat.nextRecord(null); + + // validate first row + assertNotNull(row); + assertEquals(1, row.getArity()); + assertEquals(BigDecimal.valueOf(-1000.5d), row.getField(0)); + + // check correct number of rows + long cnt = 1; + while (!rowOrcInputFormat.reachedEnd()) { + assertNotNull(rowOrcInputFormat.nextRecord(null)); + cnt++; + } + assertEquals(6000, cnt); + } + + @Test + public void testReadNestedListFile() throws Exception { + rowOrcInputFormat = new OrcRowInputFormat(getPath(TEST_FILE_NESTEDLIST), TEST_SCHEMA_NESTEDLIST, new Configuration()); + + FileInputSplit[] splits = rowOrcInputFormat.createInputSplits(1); + assertEquals(1, splits.length); + rowOrcInputFormat.openInputFormat(); + rowOrcInputFormat.open(splits[0]); + + assertFalse(rowOrcInputFormat.reachedEnd()); + + Row row = null; + long cnt = 0; + + // read all rows + while (!rowOrcInputFormat.reachedEnd()) { + + row = rowOrcInputFormat.nextRecord(row); + assertEquals(1, row.getArity()); + + // outer list + Object[] list = (Object[]) row.getField(0); + assertEquals(1, list.length); + + // nested list of rows + Row[] nestedRows = (Row[]) list[0]; + assertEquals(1, nestedRows.length); + assertEquals(1, nestedRows[0].getArity()); + + // verify list value + assertEquals(cnt, nestedRows[0].getField(0)); + cnt++; + } + // number of rows in file + assertEquals(100, cnt); + } + + @Test + public void testReadWithProjection() throws IOException{ + rowOrcInputFormat = new OrcRowInputFormat(getPath(TEST_FILE_NESTED), TEST_SCHEMA_NESTED, new Configuration()); + + rowOrcInputFormat.selectFields(7, 0, 10, 8); + + FileInputSplit[] splits = rowOrcInputFormat.createInputSplits(1); + assertEquals(1, splits.length); + rowOrcInputFormat.openInputFormat(); + rowOrcInputFormat.open(splits[0]); + + assertFalse(rowOrcInputFormat.reachedEnd()); + Row row = rowOrcInputFormat.nextRecord(null); + + // validate first row + assertNotNull(row); + assertEquals(4, row.getArity()); + // check binary + assertArrayEquals(new byte[]{0, 1, 2, 3, 4}, (byte[]) row.getField(0)); + // check boolean + assertEquals(false, row.getField(1)); + // check list + assertTrue(row.getField(2) instanceof Object[]); + Object[] list1 = (Object[]) row.getField(2); + assertEquals(2, list1.length); + assertEquals(Row.of(3, "good"), list1[0]); + assertEquals(Row.of(4, "bad"), list1[1]); + // check string + assertEquals("hi", row.getField(3)); + + // check that there is a second row with four fields + assertFalse(rowOrcInputFormat.reachedEnd()); + row = rowOrcInputFormat.nextRecord(null); + assertNotNull(row); + assertEquals(4, row.getArity()); + assertTrue(rowOrcInputFormat.reachedEnd()); + } + + @Test + public void testReadFileInSplits() throws IOException{ + + rowOrcInputFormat = new OrcRowInputFormat(getPath(TEST_FILE_FLAT), TEST_SCHEMA_FLAT, new Configuration()); + rowOrcInputFormat.selectFields(0, 1); + + FileInputSplit[] splits = rowOrcInputFormat.createInputSplits(4); + assertEquals(4, splits.length); + rowOrcInputFormat.openInputFormat(); + + long cnt = 0; + // read all splits + for (FileInputSplit split : splits) { + + // open split + rowOrcInputFormat.open(split); + // read and count all rows + while (!rowOrcInputFormat.reachedEnd()) { + assertNotNull(rowOrcInputFormat.nextRecord(null)); + cnt++; + } + } + // check that all rows have been read + assertEquals(1920800, cnt); + } + + @Test + public void testReadFileWithFilter() throws IOException{ + + rowOrcInputFormat = new OrcRowInputFormat(getPath(TEST_FILE_FLAT), TEST_SCHEMA_FLAT, new Configuration()); + rowOrcInputFormat.selectFields(0, 1); + + // read head and tail of file + rowOrcInputFormat.addPredicate( + new OrcRowInputFormat.Or( + new OrcRowInputFormat.LessThan("_col0", PredicateLeaf.Type.LONG, 10L), + new OrcRowInputFormat.Not( + new OrcRowInputFormat.LessThanEquals("_col0", PredicateLeaf.Type.LONG, 1920000L)) + )); + rowOrcInputFormat.addPredicate( + new OrcRowInputFormat.Equals("_col1", PredicateLeaf.Type.STRING, "M")); + + FileInputSplit[] splits = rowOrcInputFormat.createInputSplits(1); + assertEquals(1, splits.length); + rowOrcInputFormat.openInputFormat(); + + // open split + rowOrcInputFormat.open(splits[0]); + + // read and count all rows + long cnt = 0; + while (!rowOrcInputFormat.reachedEnd()) { + assertNotNull(rowOrcInputFormat.nextRecord(null)); + cnt++; + } + // check that only the first and last stripes of the file have been read. + // Each stripe has 5000 rows, except the last which has 800 rows. + assertEquals(5800, cnt); + } + + @Test + public void testReadFileWithEvolvedSchema() throws IOException{ + + rowOrcInputFormat = new OrcRowInputFormat( + getPath(TEST_FILE_FLAT), + "struct<_col0:int,_col1:string,_col4:string,_col3:string>", // previous version of schema + new Configuration()); + rowOrcInputFormat.selectFields(3, 0, 2); + + rowOrcInputFormat.addPredicate( + new OrcRowInputFormat.LessThan("_col0", PredicateLeaf.Type.LONG, 10L)); + + FileInputSplit[] splits = rowOrcInputFormat.createInputSplits(1); + assertEquals(1, splits.length); + rowOrcInputFormat.openInputFormat(); + + // open split + rowOrcInputFormat.open(splits[0]); + + // read and validate first row + assertFalse(rowOrcInputFormat.reachedEnd()); + Row row = rowOrcInputFormat.nextRecord(null); + assertNotNull(row); + assertEquals(3, row.getArity()); + assertEquals("Primary", row.getField(0)); + assertEquals(1, row.getField(1)); + assertEquals("M", row.getField(2)); + + // read and count remaining rows + long cnt = 1; + while (!rowOrcInputFormat.reachedEnd()) { + assertNotNull(rowOrcInputFormat.nextRecord(null)); + cnt++; + } + // check that only the first and last stripes of the file have been read. + // Each stripe has 5000 rows, except the last which has 800 rows. + assertEquals(5000, cnt); + } + + private String getPath(String fileName) { + return getClass().getClassLoader().getResource(fileName).getPath(); + } +} diff --git a/flink-connectors/flink-orc/src/test/java/org/apache/flink/orc/OrcTableSourceITCase.java b/flink-connectors/flink-orc/src/test/java/org/apache/flink/orc/OrcTableSourceITCase.java index 3de6ab31010a5..e6ef1e16f8697 100644 --- a/flink-connectors/flink-orc/src/test/java/org/apache/flink/orc/OrcTableSourceITCase.java +++ b/flink-connectors/flink-orc/src/test/java/org/apache/flink/orc/OrcTableSourceITCase.java @@ -18,125 +18,101 @@ package org.apache.flink.orc; -import org.apache.flink.api.common.typeinfo.BasicTypeInfo; -import org.apache.flink.api.common.typeinfo.TypeInformation; import org.apache.flink.api.java.DataSet; import org.apache.flink.api.java.ExecutionEnvironment; -import org.apache.flink.api.java.typeutils.MapTypeInfo; -import org.apache.flink.api.java.typeutils.ObjectArrayTypeInfo; -import org.apache.flink.api.java.typeutils.RowTypeInfo; import org.apache.flink.table.api.Table; import org.apache.flink.table.api.TableEnvironment; -import org.apache.flink.table.api.TableSchema; import org.apache.flink.table.api.java.BatchTableEnvironment; import org.apache.flink.test.util.MultipleProgramsTestBase; import org.apache.flink.types.Row; -import org.hamcrest.CoreMatchers; -import org.junit.Assert; import org.junit.Test; -import java.net.URL; -import java.util.ArrayList; import java.util.List; +import static org.junit.Assert.assertEquals; + /** * Tests for {@link OrcTableSource}. */ public class OrcTableSourceITCase extends MultipleProgramsTestBase { - private static final String TEST1_SCHEMA = "struct>>," + - "list:array>," + - "map:map>>"; - - private final URL test1URL = getClass().getClassLoader().getResource("TestOrcFile.test1.orc"); - - - private static final String[] TEST1_DATA = new String[] { - "false,1,1024,65536,9223372036854775807,1.0,-15.0,[0, 1, 2, 3, 4],hi,[1,bye, 2,sigh],[3,good, 4,bad],{}", - "true,100,2048,65536,9223372036854775807,2.0,-5.0,[],bye,[1,bye, 2,sigh]," + - "[100000000,cat, -100000,in, 1234,hat],{chani=5,chani, mauddib=1,mauddib}" }; + private static final String TEST_FILE_FLAT = "test-data-flat.orc"; + private static final String TEST_SCHEMA_FLAT = + "struct<_col0:int,_col1:string,_col2:string,_col3:string,_col4:int,_col5:string,_col6:int,_col7:int,_col8:int>"; public OrcTableSourceITCase() { super(TestExecutionMode.COLLECTION); } @Test - public void testOrcTableSource() throws Exception { + public void testFullScan() throws Exception { ExecutionEnvironment env = ExecutionEnvironment.getExecutionEnvironment(); BatchTableEnvironment tEnv = TableEnvironment.getTableEnvironment(env); - assert (test1URL != null); - OrcTableSource orc = new OrcTableSource(test1URL.getPath(), TEST1_SCHEMA); - - tEnv.registerTableSource("orcTable", orc); - - String query = "Select * from orcTable"; - Table t = tEnv.sql(query); + OrcTableSource orc = OrcTableSource.builder() + .path(getPath(TEST_FILE_FLAT)) + .forOrcSchema(TEST_SCHEMA_FLAT) + .build(); + tEnv.registerTableSource("OrcTable", orc); + + String query = + "SELECT COUNT(*), " + + "MIN(_col0), MAX(_col0), " + + "MIN(_col1), MAX(_col1), " + + "MIN(_col2), MAX(_col2), " + + "MIN(_col3), MAX(_col3), " + + "MIN(_col4), MAX(_col4), " + + "MIN(_col5), MAX(_col5), " + + "MIN(_col6), MAX(_col6), " + + "MIN(_col7), MAX(_col7), " + + "MIN(_col8), MAX(_col8) " + + "FROM OrcTable"; + Table t = tEnv.sqlQuery(query); DataSet dataSet = tEnv.toDataSet(t, Row.class); - List records = dataSet.collect(); - - Assert.assertEquals(records.size(), 2); + List result = dataSet.collect(); - List actualRecords = new ArrayList<>(); - for (Row record : records) { - Assert.assertEquals(record.getArity(), 12); - actualRecords.add(record.toString()); - } - - Assert.assertThat(actualRecords, CoreMatchers.hasItems(TEST1_DATA)); + assertEquals(1, result.size()); + assertEquals( + "1920800,1,1920800,F,M,D,W,2 yr Degree,Unknown,500,10000,Good,Unknown,0,6,0,6,0,6", + result.get(0).toString()); } @Test - public void testOrcTableProjection() throws Exception { + public void testScanWithProjectionAndFilter() throws Exception { ExecutionEnvironment env = ExecutionEnvironment.getExecutionEnvironment(); BatchTableEnvironment tEnv = TableEnvironment.getTableEnvironment(env); - assert(test1URL != null); - OrcTableSource orc = new OrcTableSource(test1URL.getPath(), TEST1_SCHEMA); - - tEnv.registerTableSource("orcTable", orc); - - String query = "Select middle,list,map from orcTable"; - Table t = tEnv.sql(query); - - String[] colNames = new String[] {"middle", "list", "map"}; - - RowTypeInfo rowTypeInfo = new RowTypeInfo( - new TypeInformation[] { - BasicTypeInfo.INT_TYPE_INFO, - BasicTypeInfo.STRING_TYPE_INFO}, - new String[] {"int1", "string1"}); - - RowTypeInfo structTypeInfo = new RowTypeInfo( - new TypeInformation[] {ObjectArrayTypeInfo.getInfoFor(rowTypeInfo)}, - new String[] {"list"}); - - TypeInformation[] colTypes = new TypeInformation[] { - structTypeInfo, - ObjectArrayTypeInfo.getInfoFor(rowTypeInfo), - new MapTypeInfo(BasicTypeInfo.STRING_TYPE_INFO, rowTypeInfo) - }; - - TableSchema actualTableSchema = new TableSchema(colNames, colTypes); - - Assert.assertArrayEquals(t.getSchema().getColumnNames(), colNames); - Assert.assertArrayEquals(t.getSchema().getTypes(), colTypes); - Assert.assertEquals(actualTableSchema.toString(), t.getSchema().toString()); + OrcTableSource orc = OrcTableSource.builder() + .path(getPath(TEST_FILE_FLAT)) + .forOrcSchema(TEST_SCHEMA_FLAT) + .build(); + tEnv.registerTableSource("OrcTable", orc); + + String query = + "SELECT " + + "MIN(_col4), MAX(_col4), " + + "MIN(_col3), MAX(_col3), " + + "MIN(_col0), MAX(_col0), " + + "MIN(_col2), MAX(_col2), " + + "COUNT(*) " + + "FROM OrcTable " + + "WHERE (_col0 BETWEEN 4975 and 5024 OR _col0 BETWEEN 9975 AND 10024) AND _col1 = 'F'"; + Table t = tEnv.sqlQuery(query); DataSet dataSet = tEnv.toDataSet(t, Row.class); - List records = dataSet.collect(); - - Assert.assertEquals(records.size(), 2); - for (Row record: records) { - Assert.assertEquals(record.getArity(), 3); - } + List result = dataSet.collect(); + assertEquals(1, result.size()); + assertEquals( + "1500,6000,2 yr Degree,Unknown,4976,10024,D,W,50", + result.get(0).toString()); } + private String getPath(String fileName) { + return getClass().getClassLoader().getResource(fileName).getPath(); + } } diff --git a/flink-connectors/flink-orc/src/test/java/org/apache/flink/orc/OrcTableSourceTest.java b/flink-connectors/flink-orc/src/test/java/org/apache/flink/orc/OrcTableSourceTest.java index c285054c6e155..4e4be772119e7 100644 --- a/flink-connectors/flink-orc/src/test/java/org/apache/flink/orc/OrcTableSourceTest.java +++ b/flink-connectors/flink-orc/src/test/java/org/apache/flink/orc/OrcTableSourceTest.java @@ -18,96 +18,248 @@ package org.apache.flink.orc; -import org.apache.flink.api.common.typeinfo.BasicTypeInfo; import org.apache.flink.api.common.typeinfo.PrimitiveArrayTypeInfo; import org.apache.flink.api.common.typeinfo.TypeInformation; +import org.apache.flink.api.common.typeinfo.Types; import org.apache.flink.api.java.ExecutionEnvironment; import org.apache.flink.api.java.typeutils.MapTypeInfo; import org.apache.flink.api.java.typeutils.ObjectArrayTypeInfo; import org.apache.flink.api.java.typeutils.RowTypeInfo; -import org.apache.flink.table.api.Table; -import org.apache.flink.table.api.TableEnvironment; import org.apache.flink.table.api.TableSchema; -import org.apache.flink.table.api.java.BatchTableEnvironment; +import org.apache.flink.table.expressions.EqualTo; +import org.apache.flink.table.expressions.Expression; +import org.apache.flink.table.expressions.GetCompositeField; +import org.apache.flink.table.expressions.GreaterThan; +import org.apache.flink.table.expressions.ItemAt; +import org.apache.flink.table.expressions.Literal; +import org.apache.flink.table.expressions.ResolvedFieldReference; +import org.apache.flink.types.Row; -import org.junit.Assert; +import org.apache.hadoop.hive.ql.io.sarg.PredicateLeaf; import org.junit.Test; +import org.mockito.ArgumentCaptor; -import java.net.URL; +import java.util.ArrayList; +import java.util.List; +import java.util.stream.Collectors; + +import static org.junit.Assert.assertArrayEquals; +import static org.junit.Assert.assertEquals; +import static org.junit.Assert.assertFalse; +import static org.junit.Assert.assertNotNull; +import static org.junit.Assert.assertTrue; +import static org.mockito.Matchers.eq; +import static org.mockito.Mockito.doReturn; +import static org.mockito.Mockito.mock; +import static org.mockito.Mockito.spy; +import static org.mockito.Mockito.times; +import static org.mockito.Mockito.verify; /** * Unit Tests for {@link OrcTableSource}. */ public class OrcTableSourceTest { - private static final String TEST1_SCHEMA = "struct>>," + - "list:array>," + - "map:map>>"; + private static final String TEST_FILE_NESTED = "test-data-nested.orc"; + private static final String TEST_SCHEMA_NESTED = + "struct<" + + "boolean1:boolean," + + "byte1:tinyint," + + "short1:smallint," + + "int1:int," + + "long1:bigint," + + "float1:float," + + "double1:double," + + "bytes1:binary," + + "string1:string," + + "middle:struct<" + + "list:array<" + + "struct<" + + "int1:int," + + "string1:string" + + ">" + + ">" + + ">," + + "list:array<" + + "struct<" + + "int1:int," + + "string1:string" + + ">" + + ">," + + "map:map<" + + "string," + + "struct<" + + "int1:int," + + "string1:string" + + ">" + + ">" + + ">"; + + @Test + public void testGetReturnType() throws Exception { + + OrcTableSource orc = OrcTableSource.builder() + .path(getPath(TEST_FILE_NESTED)) + .forOrcSchema(TEST_SCHEMA_NESTED) + .build(); - private final URL test1URL = getClass().getClassLoader().getResource("TestOrcFile.test1.orc"); + TypeInformation returnType = orc.getReturnType(); + assertNotNull(returnType); + assertTrue(returnType instanceof RowTypeInfo); + RowTypeInfo rowType = (RowTypeInfo) returnType; + + RowTypeInfo expected = Types.ROW_NAMED(getNestedFieldNames(), getNestedFieldTypes()); + assertEquals(expected, rowType); + } @Test - public void testOrcSchema() throws Exception { + public void testGetTableSchema() throws Exception { + + OrcTableSource orc = OrcTableSource.builder() + .path(getPath(TEST_FILE_NESTED)) + .forOrcSchema(TEST_SCHEMA_NESTED) + .build(); + + TableSchema schema = orc.getTableSchema(); + assertNotNull(schema); + assertArrayEquals(getNestedFieldNames(), schema.getColumnNames()); + assertArrayEquals(getNestedFieldTypes(), schema.getTypes()); + } + + @Test + public void testProjectFields() throws Exception { + + OrcTableSource orc = OrcTableSource.builder() + .path(getPath(TEST_FILE_NESTED)) + .forOrcSchema(TEST_SCHEMA_NESTED) + .build(); + + OrcTableSource projected = (OrcTableSource) orc.projectFields(new int[]{3, 5, 1, 0}); - assert(test1URL != null); - OrcTableSource orc = new OrcTableSource(test1URL.getPath(), TEST1_SCHEMA); + // ensure copy is returned + assertTrue(orc != projected); - String expectedSchema = "Row(boolean1: Boolean, byte1: Byte, short1: Short, int1: Integer, long1: Long, " + - "float1: Float, double1: Double, bytes1: byte[], string1: String, " + - "middle: Row(list: ObjectArrayTypeInfo), " + - "list: ObjectArrayTypeInfo, " + - "map: Map)"; + // ensure table schema is identical + assertEquals(orc.getTableSchema(), projected.getTableSchema()); - Assert.assertEquals(expectedSchema, orc.getReturnType().toString()); + // ensure return type was adapted + String[] fieldNames = getNestedFieldNames(); + TypeInformation[] fieldTypes = getNestedFieldTypes(); + assertEquals( + Types.ROW_NAMED( + new String[] {fieldNames[3], fieldNames[5], fieldNames[1], fieldNames[0]}, + new TypeInformation[] {fieldTypes[3], fieldTypes[5], fieldTypes[1], fieldTypes[0]}), + projected.getReturnType()); + // ensure IF is configured with selected fields + OrcTableSource spyTS = spy(projected); + OrcRowInputFormat mockIF = mock(OrcRowInputFormat.class); + doReturn(mockIF).when(spyTS).buildOrcInputFormat(); + spyTS.getDataSet(mock(ExecutionEnvironment.class)); + verify(mockIF).selectFields(eq(3), eq(5), eq(1), eq(0)); } @Test - public void testOrcTableSchema() throws Exception { + public void testApplyPredicate() throws Exception { - ExecutionEnvironment env = ExecutionEnvironment.getExecutionEnvironment(); - BatchTableEnvironment tEnv = TableEnvironment.getTableEnvironment(env); + OrcTableSource orc = OrcTableSource.builder() + .path(getPath(TEST_FILE_NESTED)) + .forOrcSchema(TEST_SCHEMA_NESTED) + .build(); - assert(test1URL != null); - OrcTableSource orc = new OrcTableSource(test1URL.getPath(), TEST1_SCHEMA); + // expressions for predicates + Expression pred1 = new GreaterThan( + new ResolvedFieldReference("int1", Types.INT), + new Literal(100, Types.INT)); + Expression pred2 = new EqualTo( + new ResolvedFieldReference("string1", Types.STRING), + new Literal("hello", Types.STRING)); + Expression pred3 = new EqualTo( + new GetCompositeField( + new ItemAt( + new ResolvedFieldReference( + "list", + ObjectArrayTypeInfo.getInfoFor( + Types.ROW_NAMED(new String[] {"int1", "string1"}, Types.INT, Types.STRING))), + new Literal(1, Types.INT)), + "int1"), + new Literal(1, Types.INT) + ); + ArrayList preds = new ArrayList<>(); + preds.add(pred1); + preds.add(pred2); + preds.add(pred3); - tEnv.registerTableSource("orcTable", orc); - String query = "Select * from orcTable"; - Table t = tEnv.sql(query); + // apply predicates on TableSource + OrcTableSource projected = (OrcTableSource) orc.applyPredicate(preds); - String[] colNames = new String[] { - "boolean1", "byte1", "short1", "int1", "long1", "float1", - "double1", "bytes1", "string1", "list", "list0", "map" - }; + // ensure copy is returned + assertTrue(orc != projected); - RowTypeInfo rowTypeInfo = new RowTypeInfo( - new TypeInformation[] { - BasicTypeInfo.INT_TYPE_INFO, - BasicTypeInfo.STRING_TYPE_INFO}, - new String[] {"int1", "string1"}); - - TypeInformation[] colTypes = new TypeInformation[] { - BasicTypeInfo.BOOLEAN_TYPE_INFO, - BasicTypeInfo.BYTE_TYPE_INFO, - BasicTypeInfo.SHORT_TYPE_INFO, - BasicTypeInfo.INT_TYPE_INFO, - BasicTypeInfo.LONG_TYPE_INFO, - BasicTypeInfo.FLOAT_TYPE_INFO, - BasicTypeInfo.DOUBLE_TYPE_INFO, - PrimitiveArrayTypeInfo.BYTE_PRIMITIVE_ARRAY_TYPE_INFO, - BasicTypeInfo.STRING_TYPE_INFO, - ObjectArrayTypeInfo.getInfoFor(rowTypeInfo), - ObjectArrayTypeInfo.getInfoFor(rowTypeInfo), - new MapTypeInfo(BasicTypeInfo.STRING_TYPE_INFO, rowTypeInfo) - }; - TableSchema expectedTableSchema = new TableSchema(colNames, colTypes); + // ensure table schema is identical + assertEquals(orc.getTableSchema(), projected.getTableSchema()); + + // ensure return type is identical + assertEquals( + Types.ROW_NAMED(getNestedFieldNames(), getNestedFieldTypes()), + projected.getReturnType()); + + // ensure IF is configured with supported predicates + OrcTableSource spyTS = spy(projected); + OrcRowInputFormat mockIF = mock(OrcRowInputFormat.class); + doReturn(mockIF).when(spyTS).buildOrcInputFormat(); + spyTS.getDataSet(mock(ExecutionEnvironment.class)); + + ArgumentCaptor arguments = ArgumentCaptor.forClass(OrcRowInputFormat.Predicate.class); + verify(mockIF, times(2)).addPredicate(arguments.capture()); + List values = arguments.getAllValues().stream().map(Object::toString).collect(Collectors.toList()); + assertTrue(values.contains( + new OrcRowInputFormat.Not(new OrcRowInputFormat.LessThanEquals("int1", PredicateLeaf.Type.LONG, 100)).toString())); + assertTrue(values.contains( + new OrcRowInputFormat.Equals("string1", PredicateLeaf.Type.STRING, "hello").toString())); + + // ensure filter pushdown is correct + assertTrue(spyTS.isFilterPushedDown()); + assertFalse(orc.isFilterPushedDown()); + } + + private String getPath(String fileName) { + return getClass().getClassLoader().getResource(fileName).getPath(); + } - Assert.assertArrayEquals(t.getSchema().getColumnNames(), colNames); - Assert.assertArrayEquals(t.getSchema().getTypes(), colTypes); - Assert.assertEquals(expectedTableSchema.toString(), t.getSchema().toString()); + private String[] getNestedFieldNames() { + return new String[] { + "boolean1", "byte1", "short1", "int1", "long1", "float1", "double1", "bytes1", "string1", "middle", "list", "map" + }; + } + private TypeInformation[] getNestedFieldTypes() { + return new TypeInformation[]{ + Types.BOOLEAN, Types.BYTE, Types.SHORT, Types.INT, Types.LONG, Types.FLOAT, Types.DOUBLE, + PrimitiveArrayTypeInfo.BYTE_PRIMITIVE_ARRAY_TYPE_INFO, Types.STRING, + Types.ROW_NAMED( + new String[]{"list"}, + ObjectArrayTypeInfo.getInfoFor( + Types.ROW_NAMED( + new String[]{"int1", "string1"}, + Types.INT, Types.STRING + ) + ) + ), + ObjectArrayTypeInfo.getInfoFor( + Types.ROW_NAMED( + new String[]{"int1", "string1"}, + Types.INT, Types.STRING + ) + ), + new MapTypeInfo<>( + Types.STRING, + Types.ROW_NAMED( + new String[]{"int1", "string1"}, + Types.INT, Types.STRING + ) + ) + }; } } diff --git a/flink-connectors/flink-orc/src/test/java/org/apache/flink/orc/OrcUtilsTest.java b/flink-connectors/flink-orc/src/test/java/org/apache/flink/orc/OrcUtilsTest.java new file mode 100644 index 0000000000000..2cb17150bf306 --- /dev/null +++ b/flink-connectors/flink-orc/src/test/java/org/apache/flink/orc/OrcUtilsTest.java @@ -0,0 +1,148 @@ +/* + * Licensed to the Apache Software Foundation (ASF) under one + * or more contributor license agreements. See the NOTICE file + * distributed with this work for additional information + * regarding copyright ownership. The ASF licenses this file + * to you under the Apache License, Version 2.0 (the + * "License"); you may not use this file except in compliance + * with the License. You may obtain a copy of the License at + * + * http://www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an "AS IS" BASIS, + * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + */ + +package org.apache.flink.orc; + +import org.apache.flink.api.common.typeinfo.BasicTypeInfo; +import org.apache.flink.api.common.typeinfo.PrimitiveArrayTypeInfo; +import org.apache.flink.api.common.typeinfo.TypeInformation; +import org.apache.flink.api.common.typeinfo.Types; +import org.apache.flink.api.java.typeutils.MapTypeInfo; +import org.apache.flink.api.java.typeutils.ObjectArrayTypeInfo; +import org.apache.flink.api.java.typeutils.RowTypeInfo; + +import org.apache.orc.TypeDescription; +import org.junit.Assert; +import org.junit.Test; + +/** + * Unit tests for {@link OrcUtils}. + * + */ +public class OrcUtilsTest { + + @Test + public void testFlatSchemaToTypeInfo1() { + + String schema = + "struct<" + + "boolean1:boolean," + + "byte1:tinyint," + + "short1:smallint," + + "int1:int," + + "long1:bigint," + + "float1:float," + + "double1:double," + + "bytes1:binary," + + "string1:string," + + "date1:date," + + "timestamp1:timestamp," + + "decimal1:decimal(5,2)" + + ">"; + TypeInformation typeInfo = OrcUtils.schemaToTypeInfo(TypeDescription.fromString(schema)); + + Assert.assertNotNull(typeInfo); + Assert.assertTrue(typeInfo instanceof RowTypeInfo); + RowTypeInfo rowTypeInfo = (RowTypeInfo) typeInfo; + + // validate field types + Assert.assertArrayEquals( + new TypeInformation[]{ + Types.BOOLEAN, Types.BYTE, Types.SHORT, Types.INT, Types.LONG, Types.FLOAT, Types.DOUBLE, + PrimitiveArrayTypeInfo.BYTE_PRIMITIVE_ARRAY_TYPE_INFO, Types.STRING, + Types.SQL_DATE, Types.SQL_TIMESTAMP, BasicTypeInfo.BIG_DEC_TYPE_INFO + }, + rowTypeInfo.getFieldTypes()); + + // validate field names + Assert.assertArrayEquals( + new String[] { + "boolean1", "byte1", "short1", "int1", "long1", "float1", "double1", + "bytes1", "string1", "date1", "timestamp1", "decimal1" + }, + rowTypeInfo.getFieldNames()); + + } + + @Test + public void testNestedSchemaToTypeInfo1() { + + String schema = + "struct<" + + "middle:struct<" + + "list:array<" + + "struct<" + + "int1:int," + + "string1:string" + + ">" + + ">" + + ">," + + "list:array<" + + "struct<" + + "int1:int," + + "string1:string" + + ">" + + ">," + + "map:map<" + + "string," + + "struct<" + + "int1:int," + + "string1:string" + + ">" + + ">" + + ">"; + TypeInformation typeInfo = OrcUtils.schemaToTypeInfo(TypeDescription.fromString(schema)); + + Assert.assertNotNull(typeInfo); + Assert.assertTrue(typeInfo instanceof RowTypeInfo); + RowTypeInfo rowTypeInfo = (RowTypeInfo) typeInfo; + + // validate field types + Assert.assertArrayEquals( + new TypeInformation[]{ + Types.ROW_NAMED( + new String[]{"list"}, + ObjectArrayTypeInfo.getInfoFor( + Types.ROW_NAMED( + new String[]{"int1", "string1"}, + Types.INT, Types.STRING + ) + ) + ), + ObjectArrayTypeInfo.getInfoFor( + Types.ROW_NAMED( + new String[]{"int1", "string1"}, + Types.INT, Types.STRING + ) + ), + new MapTypeInfo<>( + Types.STRING, + Types.ROW_NAMED( + new String[]{"int1", "string1"}, + Types.INT, Types.STRING + ) + ) + }, + rowTypeInfo.getFieldTypes()); + + // validate field names + Assert.assertArrayEquals( + new String[] {"middle", "list", "map"}, + rowTypeInfo.getFieldNames()); + } +} diff --git a/flink-connectors/flink-orc/src/test/java/org/apache/flink/orc/RowOrcInputFormatTest.java b/flink-connectors/flink-orc/src/test/java/org/apache/flink/orc/RowOrcInputFormatTest.java deleted file mode 100644 index 60008a0838612..0000000000000 --- a/flink-connectors/flink-orc/src/test/java/org/apache/flink/orc/RowOrcInputFormatTest.java +++ /dev/null @@ -1,472 +0,0 @@ -/* - * Licensed to the Apache Software Foundation (ASF) under one - * or more contributor license agreements. See the NOTICE file - * distributed with this work for additional information - * regarding copyright ownership. The ASF licenses this file - * to you under the Apache License, Version 2.0 (the - * "License"); you may not use this file except in compliance - * with the License. You may obtain a copy of the License at - * - * http://www.apache.org/licenses/LICENSE-2.0 - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, - * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. - * See the License for the specific language governing permissions and - * limitations under the License. - */ - -package org.apache.flink.orc; - -import org.apache.flink.api.common.typeinfo.TypeInformation; -import org.apache.flink.core.fs.FileInputSplit; -import org.apache.flink.types.Row; - -import org.apache.hadoop.conf.Configuration; - -import org.junit.After; -import org.junit.Assert; -import org.junit.Test; - -import java.io.FileNotFoundException; -import java.io.IOException; -import java.net.URL; -import java.nio.file.Files; -import java.nio.file.Paths; -import java.util.ArrayList; -import java.util.Arrays; -import java.util.List; - -/** - * Tests for the {@link RowOrcInputFormat}. - */ - -public class RowOrcInputFormatTest { - - private RowOrcInputFormat rowOrcInputFormat; - - @After - public void tearDown() throws IOException { - if (rowOrcInputFormat != null) { - rowOrcInputFormat.close(); - rowOrcInputFormat.closeInputFormat(); - } - rowOrcInputFormat = null; - } - - private final URL test1URL = getClass().getClassLoader().getResource("TestOrcFile.test1.orc"); - - private static final String TEST1_SCHEMA = "struct>>," + - "list:array>," + - "map:map>>"; - - private static final String[] TEST1_DATA = new String[] { - "false,1,1024,65536,9223372036854775807,1.0,-15.0,[0, 1, 2, 3, 4],hi,[1,bye, 2,sigh],[3,good, 4,bad],{}", - "true,100,2048,65536,9223372036854775807,2.0,-5.0,[],bye,[1,bye, 2,sigh]," + - "[100000000,cat, -100000,in, 1234,hat],{chani=5,chani, mauddib=1,mauddib}" }; - - private static final String[] TEST1_PROJECTED_DATA = new String[] { - "{},[3,good, 4,bad],[1,bye, 2,sigh],hi,[0, 1, 2, 3, 4],-15.0,1.0,9223372036854775807,65536,1024,1,false", - "{chani=5,chani, mauddib=1,mauddib},[100000000,cat, -100000,in, 1234,hat],[1,bye, 2,sigh],bye," + - "[],-5.0,2.0,9223372036854775807,65536,2048,100,true" }; - - private static final String TEST1_INVALID_SCHEMA = "struct>>," + - "list:array>," + - "map:map>>"; - - @Test(expected = FileNotFoundException.class) - public void testInvalidPath() throws IOException{ - - rowOrcInputFormat = new RowOrcInputFormat("TestOrcFile.test2.orc", TEST1_SCHEMA, new Configuration()); - rowOrcInputFormat.openInputFormat(); - FileInputSplit[] inputSplits = rowOrcInputFormat.createInputSplits(1); - rowOrcInputFormat.open(inputSplits[0]); - - } - - @Test(expected = RuntimeException.class) - public void testInvalidSchema() throws IOException{ - - assert(test1URL != null); - rowOrcInputFormat = new RowOrcInputFormat(test1URL.getPath(), TEST1_INVALID_SCHEMA, new Configuration()); - rowOrcInputFormat.openInputFormat(); - FileInputSplit[] inputSplits = rowOrcInputFormat.createInputSplits(1); - rowOrcInputFormat.open(inputSplits[0]); - - } - - @Test(expected = IndexOutOfBoundsException.class) - public void testInvalidProjection() throws IOException{ - - assert(test1URL != null); - rowOrcInputFormat = new RowOrcInputFormat(test1URL.getPath(), TEST1_SCHEMA, new Configuration()); - int[] projectionMask = {14}; - rowOrcInputFormat.setFieldMapping(projectionMask); - } - - @Test - public void testMajorDataTypes() throws IOException{ - - // test for boolean,byte,short,int,long,float,double,bytes,string,struct,list,map - assert(test1URL != null); - rowOrcInputFormat = new RowOrcInputFormat(test1URL.getPath(), TEST1_SCHEMA, new Configuration()); - rowOrcInputFormat.openInputFormat(); - FileInputSplit[] inputSplits = rowOrcInputFormat.createInputSplits(1); - - Assert.assertEquals(inputSplits.length, 1); - - Row row = null; - int count = 0; - for (FileInputSplit split : inputSplits) { - rowOrcInputFormat.open(split); - while (!rowOrcInputFormat.reachedEnd()) { - row = rowOrcInputFormat.nextRecord(row); - Assert.assertEquals(row.toString(), TEST1_DATA[count++]); - } - } - } - - @Test - public void testProjection() throws IOException{ - - assert(test1URL != null); - rowOrcInputFormat = new RowOrcInputFormat(test1URL.getPath(), TEST1_SCHEMA, new Configuration()); - int[] projectionMask = {11, 10, 9, 8, 7, 6, 5, 4, 3, 2, 1, 0}; - rowOrcInputFormat.setFieldMapping(projectionMask); - rowOrcInputFormat.openInputFormat(); - FileInputSplit[] inputSplits = rowOrcInputFormat.createInputSplits(1); - - Assert.assertEquals(inputSplits.length, 1); - - Row row = null; - int count = 0; - for (FileInputSplit split : inputSplits) { - rowOrcInputFormat.open(split); - while (!rowOrcInputFormat.reachedEnd()) { - row = rowOrcInputFormat.nextRecord(row); - Assert.assertEquals(row.toString(), TEST1_PROJECTED_DATA[count++]); - } - } - - } - - @Test - public void testTimeStampAndDate() throws IOException{ - - URL expectedDataURL = getClass().getClassLoader().getResource("TestOrcFile.testDate1900.dat"); - assert(expectedDataURL != null); - List expectedTimeStampAndDate = Files.readAllLines(Paths.get(expectedDataURL.getPath())); - - URL testInputURL = getClass().getClassLoader().getResource("TestOrcFile.testDate1900.orc"); - assert(testInputURL != null); - String path = testInputURL.getPath(); - String schema = "struct"; - rowOrcInputFormat = new RowOrcInputFormat(path, schema, new Configuration()); - rowOrcInputFormat.openInputFormat(); - - FileInputSplit[] inputSplits = rowOrcInputFormat.createInputSplits(1); - - Assert.assertEquals(inputSplits.length, 1); - - List actualTimeStampAndDate = new ArrayList<>(); - - Row row = null; - int count = 0; - for (FileInputSplit split : inputSplits) { - rowOrcInputFormat.open(split); - while (!rowOrcInputFormat.reachedEnd()) { - row = rowOrcInputFormat.nextRecord(row); - count++; - if (count <= 10000) { - actualTimeStampAndDate.add(row.getField(0) + "," + row.getField(1)); - } - - } - } - Assert.assertEquals(count, 70000); - Assert.assertEquals(expectedTimeStampAndDate.size(), actualTimeStampAndDate.size()); - Assert.assertEquals(expectedTimeStampAndDate.toString(), actualTimeStampAndDate.toString()); - - } - - @Test - public void testDecimal() throws IOException{ - - URL expectedDataURL = getClass().getClassLoader().getResource("decimal.dat"); - List expectedDecimal = Files.readAllLines(Paths.get(expectedDataURL.getPath())); - - URL testInputURL = getClass().getClassLoader().getResource("decimal.orc"); - assert(testInputURL != null); - String path = testInputURL.getPath(); - String schema = "struct<_col0:decimal(10,5)>"; - rowOrcInputFormat = new RowOrcInputFormat(path, schema, new Configuration()); - rowOrcInputFormat.openInputFormat(); - - FileInputSplit[] inputSplits = rowOrcInputFormat.createInputSplits(1); - - Assert.assertEquals(inputSplits.length, 1); - - List actualDecimal = new ArrayList<>(); - - Row row = null; - for (FileInputSplit split : inputSplits) { - rowOrcInputFormat.open(split); - while (!rowOrcInputFormat.reachedEnd()) { - row = rowOrcInputFormat.nextRecord(row); - actualDecimal.add(row.getField(0)); - } - } - - Assert.assertEquals(expectedDecimal.size(), actualDecimal.size()); - Assert.assertEquals(expectedDecimal.toString(), actualDecimal.toString()); - - } - - @Test - public void testEmptyFile() throws IOException{ - - URL testInputURL = getClass().getClassLoader().getResource("TestOrcFile.emptyFile.orc"); - assert(testInputURL != null); - String path = testInputURL.getPath(); - - rowOrcInputFormat = new RowOrcInputFormat(path, TEST1_SCHEMA, new Configuration()); - rowOrcInputFormat.openInputFormat(); - - FileInputSplit[] inputSplits = rowOrcInputFormat.createInputSplits(1); - - Assert.assertEquals(inputSplits.length, 1); - - Row row = new Row(1); - int count = 0; - for (FileInputSplit split : inputSplits) { - rowOrcInputFormat.open(split); - while (!rowOrcInputFormat.reachedEnd()) { - row = rowOrcInputFormat.nextRecord(row); - count++; - } - } - - Assert.assertEquals(count, 0); - } - - @Test - public void testLargeFile() throws IOException{ - - URL testInputURL = getClass().getClassLoader().getResource("demo-11-none.orc"); - assert(testInputURL != null); - String path = testInputURL.getPath(); - String schema = "struct<_col0:int,_col1:string,_col2:string,_col3:string,_col4:int," + - "_col5:string,_col6:int,_col7:int,_col8:int>"; - - rowOrcInputFormat = new RowOrcInputFormat(path, schema, new Configuration()); - rowOrcInputFormat.openInputFormat(); - - FileInputSplit[] inputSplits = rowOrcInputFormat.createInputSplits(1); - - Assert.assertEquals(inputSplits.length, 1); - - Row row = new Row(1); - int count = 0; - for (FileInputSplit split : inputSplits) { - rowOrcInputFormat.open(split); - while (!rowOrcInputFormat.reachedEnd()) { - row = rowOrcInputFormat.nextRecord(row); - count++; - } - } - - Assert.assertEquals(count, 1920800); - } - - @Test - public void testProducedType() throws IOException{ - - assert(test1URL != null); - rowOrcInputFormat = new RowOrcInputFormat(test1URL.getPath(), TEST1_SCHEMA, new Configuration()); - rowOrcInputFormat.openInputFormat(); - FileInputSplit[] inputSplits = rowOrcInputFormat.createInputSplits(1); - - Assert.assertEquals(inputSplits.length, 1); - - rowOrcInputFormat.open(inputSplits[0]); - - TypeInformation type = rowOrcInputFormat.getProducedType(); - Assert.assertEquals(type.toString(), "Row(boolean1: Boolean, byte1: Byte, short1: Short, int1: Integer," + - " long1: Long, float1: Float, double1: Double, bytes1: byte[], string1: String," + - " middle: Row(list: ObjectArrayTypeInfo)," + - " list: ObjectArrayTypeInfo," + - " map: Map)"); - - } - - @Test - public void testProducedTypeWithProjection() throws IOException{ - - assert(test1URL != null); - rowOrcInputFormat = new RowOrcInputFormat(test1URL.getPath(), TEST1_SCHEMA, new Configuration()); - int[] projectionMask = {9, 10, 11}; - rowOrcInputFormat.setFieldMapping(projectionMask); - rowOrcInputFormat.openInputFormat(); - FileInputSplit[] inputSplits = rowOrcInputFormat.createInputSplits(1); - - Assert.assertEquals(inputSplits.length, 1); - - rowOrcInputFormat.open(inputSplits[0]); - - TypeInformation type = rowOrcInputFormat.getProducedType(); - Assert.assertEquals(type.toString(), "Row(middle: Row(list: ObjectArrayTypeInfo)," + - " list: ObjectArrayTypeInfo," + - " map: Map)"); - - } - - @Test - public void testLongList() throws Exception { - - URL testInputURL = getClass().getClassLoader().getResource("TestOrcFile.listlong.orc"); - assert(testInputURL != null); - String path = testInputURL.getPath(); - String schema = "struct>"; - - rowOrcInputFormat = new RowOrcInputFormat(path, schema, new Configuration()); - - rowOrcInputFormat.openInputFormat(); - FileInputSplit[] inputSplits = rowOrcInputFormat.createInputSplits(1); - - Assert.assertEquals(inputSplits.length, 1); - - Row row = null; - long count = 0; - for (FileInputSplit split : inputSplits) { - rowOrcInputFormat.open(split); - while (!rowOrcInputFormat.reachedEnd()) { - row = rowOrcInputFormat.nextRecord(row); - Assert.assertEquals(row.getArity(), 1); - Object object = row.getField(0); - long[] l = (long[]) object; - - Assert.assertEquals(l.length, 2); - if (count < 50) { - Assert.assertArrayEquals(l, new long[]{count, count + 1}); - } - else { - Assert.assertArrayEquals(l, new long[]{0L, 0L}); - } - count = count + 2; - } - } - Assert.assertEquals(count, 100); - } - - @Test - public void testStringList() throws Exception { - - URL testInputURL = getClass().getClassLoader().getResource("TestOrcFile.liststring.orc"); - assert(testInputURL != null); - String path = testInputURL.getPath(); - String schema = "struct>"; - - rowOrcInputFormat = new RowOrcInputFormat(path, schema, new Configuration()); - - rowOrcInputFormat.openInputFormat(); - FileInputSplit[] inputSplits = rowOrcInputFormat.createInputSplits(1); - - Assert.assertEquals(inputSplits.length, 1); - - Row row = null; - long count = 0; - for (FileInputSplit split : inputSplits) { - rowOrcInputFormat.open(split); - while (!rowOrcInputFormat.reachedEnd()) { - row = rowOrcInputFormat.nextRecord(row); - Assert.assertEquals(row.getArity(), 1); - Object object = row.getField(0); - String[] l = (String[]) object; - - Assert.assertEquals(l.length, 2); - Assert.assertArrayEquals(l, new String[]{"hello" + count, "hello" + (count + 1) }); - count = count + 2; - } - } - Assert.assertEquals(count, 200); - } - - @Test - public void testListOfListOfStructOfLong() throws Exception { - URL testInputURL = getClass().getClassLoader().getResource("TestOrcFile.listliststructlong.orc"); - assert(testInputURL != null); - String path = testInputURL.getPath(); - String schema = "struct>>>"; - - rowOrcInputFormat = new RowOrcInputFormat(path, schema, new Configuration()); - - rowOrcInputFormat.openInputFormat(); - FileInputSplit[] inputSplits = rowOrcInputFormat.createInputSplits(1); - - Assert.assertEquals(inputSplits.length, 1); - - Row row = null; - long count = 0; - for (FileInputSplit split : inputSplits) { - rowOrcInputFormat.open(split); - while (!rowOrcInputFormat.reachedEnd()) { - - row = rowOrcInputFormat.nextRecord(row); - Assert.assertEquals(row.getArity(), 1); - - Object[] objects = (Object[]) row.getField(0); - Assert.assertEquals(objects.length, 1); - - Object[] objects1 = (Object[]) objects[0]; - Assert.assertEquals(objects1.length, 1); - - Row[] nestedRows = Arrays.copyOf(objects1, objects1.length, Row[].class); - Assert.assertEquals(nestedRows.length, 1); - - Assert.assertEquals(nestedRows[0].getArity(), 1); - - Assert.assertEquals(nestedRows[0].getField(0), count); - - count++; - } - } - Assert.assertEquals(count, 100); - } - - @Test - public void testSplit() throws IOException{ - - URL testInputURL = getClass().getClassLoader().getResource("demo-11-none.orc"); - assert(testInputURL != null); - String path = testInputURL.getPath(); - String schema = "struct<_col0:int,_col1:string,_col2:string,_col3:string,_col4:int," + - "_col5:string,_col6:int,_col7:int,_col8:int>"; - - rowOrcInputFormat = new RowOrcInputFormat(path, schema, new Configuration()); - rowOrcInputFormat.openInputFormat(); - - FileInputSplit[] inputSplits = rowOrcInputFormat.createInputSplits(10); - - Assert.assertEquals(inputSplits.length, 10); - - Row row = null; - int countTotalRecords = 0; - for (FileInputSplit split : inputSplits) { - rowOrcInputFormat.open(split); - int countSplitRecords = 0; - while (!rowOrcInputFormat.reachedEnd()) { - row = rowOrcInputFormat.nextRecord(row); - countSplitRecords++; - } - Assert.assertNotEquals(countSplitRecords, 1920800); - countTotalRecords += countSplitRecords; - } - - Assert.assertEquals(countTotalRecords, 1920800); - } - -} diff --git a/flink-connectors/flink-orc/src/test/resources/TestOrcFile.emptyFile.orc b/flink-connectors/flink-orc/src/test/resources/TestOrcFile.emptyFile.orc 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b/flink-connectors/flink-orc/src/test/resources/test-data-timetypes.orc similarity index 100% rename from flink-connectors/flink-orc/src/test/resources/TestOrcFile.testDate1900.orc rename to flink-connectors/flink-orc/src/test/resources/test-data-timetypes.orc diff --git a/flink-core/src/main/java/org/apache/flink/api/java/typeutils/RowTypeInfo.java b/flink-core/src/main/java/org/apache/flink/api/java/typeutils/RowTypeInfo.java index 1d4b8a151e63c..24ccfb1722957 100644 --- a/flink-core/src/main/java/org/apache/flink/api/java/typeutils/RowTypeInfo.java +++ b/flink-core/src/main/java/org/apache/flink/api/java/typeutils/RowTypeInfo.java @@ -355,4 +355,21 @@ public TypeComparator createTypeComparator(ExecutionConfig config) { comparatorOrders); } } + + /** + * Creates a {@link RowTypeInfo} with projected fields. + * + * @param rowType The original RowTypeInfo whose fields are projected + * @param fieldMapping The field mapping of the projection + * @return A RowTypeInfo with projected fields. + */ + public static RowTypeInfo projectFields(RowTypeInfo rowType, int[] fieldMapping) { + TypeInformation[] fieldTypes = new TypeInformation[fieldMapping.length]; + String[] fieldNames = new String[fieldMapping.length]; + for (int i = 0; i < fieldMapping.length; i++) { + fieldTypes[i] = rowType.getTypeAt(fieldMapping[i]); + fieldNames[i] = rowType.getFieldNames()[fieldMapping[i]]; + } + return new RowTypeInfo(fieldTypes, fieldNames); + } } diff --git a/flink-libraries/flink-table/src/main/scala/org/apache/flink/table/plan/nodes/logical/FlinkLogicalTableSourceScan.scala b/flink-libraries/flink-table/src/main/scala/org/apache/flink/table/plan/nodes/logical/FlinkLogicalTableSourceScan.scala index 337025fa88f83..ca8e56921390c 100644 --- a/flink-libraries/flink-table/src/main/scala/org/apache/flink/table/plan/nodes/logical/FlinkLogicalTableSourceScan.scala +++ b/flink-libraries/flink-table/src/main/scala/org/apache/flink/table/plan/nodes/logical/FlinkLogicalTableSourceScan.scala @@ -29,7 +29,7 @@ import org.apache.flink.table.api.TableException import org.apache.flink.table.calcite.FlinkTypeFactory import org.apache.flink.table.plan.nodes.FlinkConventions import org.apache.flink.table.plan.schema.{BatchTableSourceTable, StreamTableSourceTable, TableSourceTable} -import org.apache.flink.table.sources.{TableSource, TableSourceUtil} +import org.apache.flink.table.sources.{FilterableTableSource, TableSource, TableSourceUtil} import scala.collection.JavaConverters._ @@ -62,7 +62,19 @@ class FlinkLogicalTableSourceScan( override def computeSelfCost(planner: RelOptPlanner, metadata: RelMetadataQuery): RelOptCost = { val rowCnt = metadata.getRowCount(this) - planner.getCostFactory.makeCost(rowCnt, rowCnt, rowCnt * estimateRowSize(getRowType)) + + val adjustedCnt: Double = tableSource match { + case f: FilterableTableSource[_] if f.isFilterPushedDown => + // ensure we prefer FilterableTableSources with pushed-down filters. + rowCnt - 1.0 + case _ => + rowCnt + } + + planner.getCostFactory.makeCost( + adjustedCnt, + adjustedCnt, + adjustedCnt * estimateRowSize(getRowType)) } override def explainTerms(pw: RelWriter): RelWriter = { diff --git a/flink-libraries/flink-table/src/main/scala/org/apache/flink/table/plan/util/RexProgramExtractor.scala b/flink-libraries/flink-table/src/main/scala/org/apache/flink/table/plan/util/RexProgramExtractor.scala index 9c06135e46806..a377a95f4a15f 100644 --- a/flink-libraries/flink-table/src/main/scala/org/apache/flink/table/plan/util/RexProgramExtractor.scala +++ b/flink-libraries/flink-table/src/main/scala/org/apache/flink/table/plan/util/RexProgramExtractor.scala @@ -202,6 +202,18 @@ class RexNodeToExpressionConverter( // convert from BigDecimal to Double literal.getValueAs(classOf[java.lang.Double]) + case _@BasicTypeInfo.STRING_TYPE_INFO => + // convert from NlsString to String + literal.getValueAs(classOf[java.lang.String]) + + case _@BasicTypeInfo.BOOLEAN_TYPE_INFO => + // convert to Boolean + literal.getValueAs(classOf[java.lang.Boolean]) + + case _@BasicTypeInfo.BIG_DEC_TYPE_INFO => + // convert to BigDecimal + literal.getValueAs(classOf[java.math.BigDecimal]) + case _ => literal.getValue }