From 57acbdeb07a7beb793a77be726b41322956ee665 Mon Sep 17 00:00:00 2001 From: "Jack Li(Analytics Engineering)" Date: Fri, 4 Sep 2020 12:15:14 -0700 Subject: [PATCH] Add row based schema validation code to detect schema mismatch --- .../pinot/common/utils/PinotDataType.java | 10 ++ .../DataTypeTransformer.java | 50 +++++-- .../core/segment/creator/SegmentCreator.java | 4 +- .../impl/SegmentColumnarIndexCreator.java | 35 ++++- .../impl/SegmentIndexCreationDriverImpl.java | 3 +- .../DataTypeTransformerTest.java | 70 +++++----- .../query/executor/QueryExecutorTest.java | 15 ++- .../job/mappers/SegmentCreationMapper.java | 81 +++++++---- .../data/IngestionSchemaValidatorTest.java | 126 ++++++++++++++---- .../data/test_sample_data_multi_value.avro | Bin 0 -> 12222227 bytes .../ingestion/jobs/SegmentCreationJob.java | 11 +- .../avro/AvroIngestionSchemaValidator.java | 86 ++++++------ .../spi/data/IngestionSchemaValidator.java | 8 +- .../data/RowBasedSchemaValidationResults.java | 64 +++++++++ .../spi/data/SchemaValidationResults.java | 42 ++++++ .../pinot/spi/data/readers/GenericRow.java | 18 +++ 16 files changed, 477 insertions(+), 146 deletions(-) create mode 100644 pinot-plugins/pinot-batch-ingestion/v0_deprecated/pinot-hadoop/src/test/resources/data/test_sample_data_multi_value.avro create mode 100644 pinot-spi/src/main/java/org/apache/pinot/spi/data/RowBasedSchemaValidationResults.java create mode 100644 pinot-spi/src/main/java/org/apache/pinot/spi/data/SchemaValidationResults.java diff --git a/pinot-common/src/main/java/org/apache/pinot/common/utils/PinotDataType.java b/pinot-common/src/main/java/org/apache/pinot/common/utils/PinotDataType.java index 97c017eca98..3636d4c6efb 100644 --- a/pinot-common/src/main/java/org/apache/pinot/common/utils/PinotDataType.java +++ b/pinot-common/src/main/java/org/apache/pinot/common/utils/PinotDataType.java @@ -586,22 +586,32 @@ public boolean isSingleValue() { public PinotDataType getSingleValueType() { switch (this) { + case BYTE: + case BYTES: case BYTE_ARRAY: return BYTE; + case CHARACTER: case CHARACTER_ARRAY: return CHARACTER; + case SHORT: case SHORT_ARRAY: return SHORT; + case INTEGER: case INTEGER_ARRAY: return INTEGER; + case LONG: case LONG_ARRAY: return LONG; + case FLOAT: case FLOAT_ARRAY: return FLOAT; + case DOUBLE: case DOUBLE_ARRAY: return DOUBLE; + case STRING: case STRING_ARRAY: return STRING; + case OBJECT: case OBJECT_ARRAY: return OBJECT; default: diff --git a/pinot-core/src/main/java/org/apache/pinot/core/data/recordtransformer/DataTypeTransformer.java b/pinot-core/src/main/java/org/apache/pinot/core/data/recordtransformer/DataTypeTransformer.java index 4ab665cf170..a8bee3e6776 100644 --- a/pinot-core/src/main/java/org/apache/pinot/core/data/recordtransformer/DataTypeTransformer.java +++ b/pinot-core/src/main/java/org/apache/pinot/core/data/recordtransformer/DataTypeTransformer.java @@ -24,8 +24,10 @@ import java.util.Arrays; import java.util.Collection; import java.util.HashMap; +import java.util.HashSet; import java.util.List; import java.util.Map; +import java.util.Set; import javax.annotation.Nullable; import org.apache.pinot.common.utils.PinotDataType; import org.apache.pinot.spi.data.FieldSpec; @@ -85,7 +87,7 @@ public GenericRow transform(GenericRow record) { continue; } PinotDataType dest = entry.getValue(); - value = standardize(column, value, dest.isSingleValue()); + value = standardize(record, column, value, dest.isSingleValue()); // NOTE: The standardized value could be null for empty Collection/Map/Object[]. if (value == null) { record.putValue(column, null); @@ -109,6 +111,9 @@ public GenericRow transform(GenericRow record) { } } if (source != dest) { + if (source.getSingleValueType() != dest.getSingleValueType()) { + putValueAsSetToKey(record, GenericRow.DATA_TYPE_MISMATCH_KEY, column); + } value = dest.convert(value, source); } @@ -127,28 +132,39 @@ public GenericRow transform(GenericRow record) { */ @VisibleForTesting @Nullable - static Object standardize(String column, @Nullable Object value, boolean isSingleValue) { + static Object standardize(GenericRow record, String column, @Nullable Object value, boolean isSingleValue) { + return standardize(record, column, value, isSingleValue, 1); + } + + static Object standardize(GenericRow record, String column, @Nullable Object value, boolean isSingleValue, int level) { if (value == null) { return null; } + // If it's single-value column and the value is Collection/Map/Object[], mark the key. if (value instanceof Collection) { - return standardizeCollection(column, (Collection) value, isSingleValue); + return standardizeCollection(record, column, (Collection) value, isSingleValue, level); } if (value instanceof Map) { - return standardizeCollection(column, ((Map) value).values(), isSingleValue); + // If it's a map structure, mark the key. + putValueAsSetToKey(record, GenericRow.MULTI_VALUE_STRUCTURE_MISMATCH_KEY, column); + Collection values = ((Map) value).values(); + return standardizeCollection(record, column, values, isSingleValue, level); } if (value instanceof Object[]) { + if (isSingleValue && level == 1) { + putValueAsSetToKey(record, GenericRow.SINGLE_VALUE_MULTI_VALUE_FIELD_MISMATCH_KEY, column); + } Object[] values = (Object[]) value; int numValues = values.length; if (numValues == 0) { return null; } if (numValues == 1) { - return standardize(column, values[0], isSingleValue); + return standardize(record, column, values[0], isSingleValue, level + 1); } List standardizedValues = new ArrayList<>(numValues); for (Object singleValue : values) { - Object standardizedValue = standardize(column, singleValue, true); + Object standardizedValue = standardize(record, column, singleValue, true, level + 1); if (standardizedValue != null) { standardizedValues.add(standardizedValue); } @@ -164,20 +180,27 @@ static Object standardize(String column, @Nullable Object value, boolean isSingl Arrays.toString(values), column); return standardizedValues.toArray(); } + // If it's multi-value column and the level is 1, mark the key. + if (!isSingleValue && level == 1) { + putValueAsSetToKey(record, GenericRow.SINGLE_VALUE_MULTI_VALUE_FIELD_MISMATCH_KEY, column); + } return value; } - private static Object standardizeCollection(String column, Collection collection, boolean isSingleValue) { + private static Object standardizeCollection(GenericRow record, String column, Collection collection, boolean isSingleValue, int level) { + if (isSingleValue && level == 1) { + putValueAsSetToKey(record, GenericRow.SINGLE_VALUE_MULTI_VALUE_FIELD_MISMATCH_KEY, column); + } int numValues = collection.size(); if (numValues == 0) { return null; } if (numValues == 1) { - return standardize(column, collection.iterator().next(), isSingleValue); + return standardize(record, column, collection.iterator().next(), isSingleValue, level + 1); } List standardizedValues = new ArrayList<>(numValues); for (Object singleValue : collection) { - Object standardizedValue = standardize(column, singleValue, true); + Object standardizedValue = standardize(record, column, singleValue, true, level + 1); if (standardizedValue != null) { standardizedValues.add(standardizedValue); } @@ -193,4 +216,13 @@ private static Object standardizeCollection(String column, Collection collection .checkState(!isSingleValue, "Cannot read single-value from Collection: %s for column: %s", collection, column); return standardizedValues.toArray(); } + + private static void putValueAsSetToKey(GenericRow record, String key, String value) { + Set valueSet = (Set) record.getValue(key); + if (valueSet == null) { + valueSet = new HashSet<>(); + record.putValue(key, valueSet); + } + valueSet.add(value); + } } diff --git a/pinot-core/src/main/java/org/apache/pinot/core/segment/creator/SegmentCreator.java b/pinot-core/src/main/java/org/apache/pinot/core/segment/creator/SegmentCreator.java index 2ba6246b5b2..adf6141c387 100644 --- a/pinot-core/src/main/java/org/apache/pinot/core/segment/creator/SegmentCreator.java +++ b/pinot-core/src/main/java/org/apache/pinot/core/segment/creator/SegmentCreator.java @@ -23,6 +23,7 @@ import java.io.IOException; import java.util.Map; import org.apache.commons.configuration.ConfigurationException; +import org.apache.pinot.spi.data.IngestionSchemaValidator; import org.apache.pinot.spi.data.Schema; import org.apache.pinot.spi.data.readers.GenericRow; import org.apache.pinot.core.indexsegment.generator.SegmentGeneratorConfig; @@ -43,7 +44,8 @@ public interface SegmentCreator extends Closeable { * @throws Exception */ void init(SegmentGeneratorConfig segmentCreationSpec, SegmentIndexCreationInfo segmentIndexCreationInfo, - Map indexCreationInfoMap, Schema schema, File outDir) + Map indexCreationInfoMap, Schema schema, File outDir, + IngestionSchemaValidator ingestionSchemaValidator) throws Exception; /** diff --git a/pinot-core/src/main/java/org/apache/pinot/core/segment/creator/impl/SegmentColumnarIndexCreator.java b/pinot-core/src/main/java/org/apache/pinot/core/segment/creator/impl/SegmentColumnarIndexCreator.java index 4489dc82ea6..2ab5427d6ad 100644 --- a/pinot-core/src/main/java/org/apache/pinot/core/segment/creator/impl/SegmentColumnarIndexCreator.java +++ b/pinot-core/src/main/java/org/apache/pinot/core/segment/creator/impl/SegmentColumnarIndexCreator.java @@ -57,6 +57,8 @@ import org.apache.pinot.spi.data.FieldSpec; import org.apache.pinot.spi.data.FieldSpec.DataType; import org.apache.pinot.spi.data.FieldSpec.FieldType; +import org.apache.pinot.spi.data.IngestionSchemaValidator; +import org.apache.pinot.spi.data.RowBasedSchemaValidationResults; import org.apache.pinot.spi.data.Schema; import org.apache.pinot.spi.data.readers.GenericRow; import org.apache.pinot.spi.utils.TimeUtils; @@ -79,6 +81,7 @@ public class SegmentColumnarIndexCreator implements SegmentCreator { // TODO Refactor class name to match interface name private static final Logger LOGGER = LoggerFactory.getLogger(SegmentColumnarIndexCreator.class); private SegmentGeneratorConfig config; + private IngestionSchemaValidator _ingestionSchemaValidator; private Map indexCreationInfoMap; private Map _dictionaryCreatorMap = new HashMap<>(); private Map _forwardIndexCreatorMap = new HashMap<>(); @@ -96,11 +99,13 @@ public class SegmentColumnarIndexCreator implements SegmentCreator { @Override public void init(SegmentGeneratorConfig segmentCreationSpec, SegmentIndexCreationInfo segmentIndexCreationInfo, - Map indexCreationInfoMap, Schema schema, File outDir) + Map indexCreationInfoMap, Schema schema, File outDir, + IngestionSchemaValidator ingestionSchemaValidator) throws Exception { docIdCounter = 0; config = segmentCreationSpec; this.indexCreationInfoMap = indexCreationInfoMap; + _ingestionSchemaValidator = ingestionSchemaValidator; // Check that the output directory does not exist Preconditions.checkState(!outDir.exists(), "Segment output directory: %s already exists", outDir); @@ -304,6 +309,7 @@ private boolean createDictionaryForColumn(ColumnIndexCreationInfo info, SegmentG @Override public void indexRow(GenericRow row) { + validateRowBasedSchemas(row); for (Map.Entry entry : _forwardIndexCreatorMap.entrySet()) { String columnName = entry.getKey(); ForwardIndexCreator forwardIndexCreator = entry.getValue(); @@ -400,6 +406,7 @@ public void seal() nullValueVectorCreator.seal(); } writeMetadata(); + gatherRowBasedSchemaValidationResults(); } private void writeMetadata() @@ -558,6 +565,32 @@ public static void addColumnMinMaxValueInfo(PropertiesConfiguration properties, } } + private void validateRowBasedSchemas(GenericRow row) { + if (_ingestionSchemaValidator == null) { + return; + } + RowBasedSchemaValidationResults rowBasedSchemaValidationResults = _ingestionSchemaValidator.getRowBasedSchemaValidationResults(); + + if (row.getValue(GenericRow.MULTI_VALUE_STRUCTURE_MISMATCH_KEY) != null) { + Set columns = (Set) row.getValue(GenericRow.MULTI_VALUE_STRUCTURE_MISMATCH_KEY); + rowBasedSchemaValidationResults.collectMultiValueStructureMismatchColumns(columns); + } + if (row.getValue(GenericRow.DATA_TYPE_MISMATCH_KEY) != null) { + Set columns = (Set) row.getValue(GenericRow.DATA_TYPE_MISMATCH_KEY); + rowBasedSchemaValidationResults.collectDataTypeMismatchColumns(columns); + } + if (row.getValue(GenericRow.SINGLE_VALUE_MULTI_VALUE_FIELD_MISMATCH_KEY) != null) { + Set columns = (Set) row.getValue(GenericRow.SINGLE_VALUE_MULTI_VALUE_FIELD_MISMATCH_KEY); + rowBasedSchemaValidationResults.collectSingleValueMultiValueFieldMismatchColumns(columns); + } + } + + private void gatherRowBasedSchemaValidationResults() { + if (_ingestionSchemaValidator != null) { + _ingestionSchemaValidator.getRowBasedSchemaValidationResults().gatherRowBasedSchemaValidationResults(); + } + } + /** * Helper method to check whether the given value is a valid property value. *

Value is invalid iff: diff --git a/pinot-core/src/main/java/org/apache/pinot/core/segment/creator/impl/SegmentIndexCreationDriverImpl.java b/pinot-core/src/main/java/org/apache/pinot/core/segment/creator/impl/SegmentIndexCreationDriverImpl.java index cabdc47a8ae..e5a4b844043 100644 --- a/pinot-core/src/main/java/org/apache/pinot/core/segment/creator/impl/SegmentIndexCreationDriverImpl.java +++ b/pinot-core/src/main/java/org/apache/pinot/core/segment/creator/impl/SegmentIndexCreationDriverImpl.java @@ -187,7 +187,8 @@ public void build() try { // Initialize the index creation using the per-column statistics information - indexCreator.init(config, segmentIndexCreationInfo, indexCreationInfoMap, dataSchema, tempIndexDir); + indexCreator.init(config, segmentIndexCreationInfo, indexCreationInfoMap, dataSchema, tempIndexDir, + _ingestionSchemaValidator); // Build the index recordReader.rewind(); diff --git a/pinot-core/src/test/java/org/apache/pinot/core/data/recordtransformer/DataTypeTransformerTest.java b/pinot-core/src/test/java/org/apache/pinot/core/data/recordtransformer/DataTypeTransformerTest.java index a60c460ea0b..be4ad8dc9b8 100644 --- a/pinot-core/src/test/java/org/apache/pinot/core/data/recordtransformer/DataTypeTransformerTest.java +++ b/pinot-core/src/test/java/org/apache/pinot/core/data/recordtransformer/DataTypeTransformerTest.java @@ -23,6 +23,7 @@ import java.util.HashMap; import java.util.List; import java.util.Map; +import org.apache.pinot.spi.data.readers.GenericRow; import org.testng.annotations.Test; import static org.testng.Assert.assertEquals; @@ -39,17 +40,18 @@ public void testStandardize() { /** * Tests for Map */ + GenericRow record = new GenericRow(); // Empty Map Map map = Collections.emptyMap(); - assertNull(DataTypeTransformer.standardize(COLUMN, map, true)); - assertNull(DataTypeTransformer.standardize(COLUMN, map, false)); + assertNull(DataTypeTransformer.standardize(record, COLUMN, map, true)); + assertNull(DataTypeTransformer.standardize(record, COLUMN, map, false)); // Map with single entry String expectedValue = "testValue"; map = Collections.singletonMap("testKey", expectedValue); - assertEquals(DataTypeTransformer.standardize(COLUMN, map, true), expectedValue); - assertEquals(DataTypeTransformer.standardize(COLUMN, map, false), expectedValue); + assertEquals(DataTypeTransformer.standardize(record, COLUMN, map, true), expectedValue); + assertEquals(DataTypeTransformer.standardize(record, COLUMN, map, false), expectedValue); // Map with multiple entries Object[] expectedValues = new Object[]{"testValue1", "testValue2"}; @@ -58,12 +60,12 @@ public void testStandardize() { map.put("testKey2", "testValue2"); try { // Should fail because Map with multiple entries cannot be standardized as single value - DataTypeTransformer.standardize(COLUMN, map, true); + DataTypeTransformer.standardize(record, COLUMN, map, true); fail(); } catch (Exception e) { // Expected } - assertEqualsNoOrder((Object[]) DataTypeTransformer.standardize(COLUMN, map, false), expectedValues); + assertEqualsNoOrder((Object[]) DataTypeTransformer.standardize(record, COLUMN, map, false), expectedValues); /** * Tests for List @@ -71,24 +73,24 @@ public void testStandardize() { // Empty List List list = Collections.emptyList(); - assertNull(DataTypeTransformer.standardize(COLUMN, list, true)); - assertNull(DataTypeTransformer.standardize(COLUMN, list, false)); + assertNull(DataTypeTransformer.standardize(record, COLUMN, list, true)); + assertNull(DataTypeTransformer.standardize(record, COLUMN, list, false)); // List with single entry list = Collections.singletonList(expectedValue); - assertEquals(DataTypeTransformer.standardize(COLUMN, list, true), expectedValue); - assertEquals(DataTypeTransformer.standardize(COLUMN, list, false), expectedValue); + assertEquals(DataTypeTransformer.standardize(record, COLUMN, list, true), expectedValue); + assertEquals(DataTypeTransformer.standardize(record, COLUMN, list, false), expectedValue); // List with multiple entries list = Arrays.asList(expectedValues); try { // Should fail because List with multiple entries cannot be standardized as single value - DataTypeTransformer.standardize(COLUMN, list, true); + DataTypeTransformer.standardize(record, COLUMN, list, true); fail(); } catch (Exception e) { // Expected } - assertEquals((Object[]) DataTypeTransformer.standardize(COLUMN, list, false), expectedValues); + assertEquals((Object[]) DataTypeTransformer.standardize(record, COLUMN, list, false), expectedValues); /** * Tests for Object[] @@ -96,24 +98,24 @@ public void testStandardize() { // Empty Object[] Object[] values = new Object[0]; - assertNull(DataTypeTransformer.standardize(COLUMN, values, true)); - assertNull(DataTypeTransformer.standardize(COLUMN, values, false)); + assertNull(DataTypeTransformer.standardize(record, COLUMN, values, true)); + assertNull(DataTypeTransformer.standardize(record, COLUMN, values, false)); // Object[] with single entry values = new Object[]{expectedValue}; - assertEquals(DataTypeTransformer.standardize(COLUMN, values, true), expectedValue); - assertEquals(DataTypeTransformer.standardize(COLUMN, values, false), expectedValue); + assertEquals(DataTypeTransformer.standardize(record, COLUMN, values, true), expectedValue); + assertEquals(DataTypeTransformer.standardize(record, COLUMN, values, false), expectedValue); // Object[] with multiple entries values = new Object[]{"testValue1", "testValue2"}; try { // Should fail because Object[] with multiple entries cannot be standardized as single value - DataTypeTransformer.standardize(COLUMN, values, true); + DataTypeTransformer.standardize(record, COLUMN, values, true); fail(); } catch (Exception e) { // Expected } - assertEquals((Object[]) DataTypeTransformer.standardize(COLUMN, values, false), expectedValues); + assertEquals((Object[]) DataTypeTransformer.standardize(record, COLUMN, values, false), expectedValues); /** * Tests for nested Map/List/Object[] @@ -121,32 +123,32 @@ public void testStandardize() { // Map with empty List map = Collections.singletonMap("testKey", Collections.emptyList()); - assertNull(DataTypeTransformer.standardize(COLUMN, map, true)); - assertNull(DataTypeTransformer.standardize(COLUMN, map, false)); + assertNull(DataTypeTransformer.standardize(record, COLUMN, map, true)); + assertNull(DataTypeTransformer.standardize(record, COLUMN, map, false)); // Map with single-entry List map = Collections.singletonMap("testKey", Collections.singletonList(expectedValue)); - assertEquals(DataTypeTransformer.standardize(COLUMN, map, true), expectedValue); - assertEquals(DataTypeTransformer.standardize(COLUMN, map, false), expectedValue); + assertEquals(DataTypeTransformer.standardize(record, COLUMN, map, true), expectedValue); + assertEquals(DataTypeTransformer.standardize(record, COLUMN, map, false), expectedValue); // Map with one empty Map and one single-entry Map map = new HashMap<>(); map.put("testKey1", Collections.emptyMap()); map.put("testKey2", Collections.singletonMap("testKey", expectedValue)); // Can be standardized into single value because empty Map should be ignored - assertEquals(DataTypeTransformer.standardize(COLUMN, map, true), expectedValue); - assertEquals(DataTypeTransformer.standardize(COLUMN, map, false), expectedValue); + assertEquals(DataTypeTransformer.standardize(record, COLUMN, map, true), expectedValue); + assertEquals(DataTypeTransformer.standardize(record, COLUMN, map, false), expectedValue); // Map with multi-entries List map = Collections.singletonMap("testKey", Arrays.asList(expectedValues)); try { // Should fail because Map with multiple entries cannot be standardized as single value - DataTypeTransformer.standardize(COLUMN, map, true); + DataTypeTransformer.standardize(record, COLUMN, map, true); fail(); } catch (Exception e) { // Expected } - assertEqualsNoOrder((Object[]) DataTypeTransformer.standardize(COLUMN, map, false), expectedValues); + assertEqualsNoOrder((Object[]) DataTypeTransformer.standardize(record, COLUMN, map, false), expectedValues); // Map with one empty Map, one single-entry List and one single-entry Object[] map = new HashMap<>(); @@ -155,12 +157,12 @@ public void testStandardize() { map.put("testKey3", new Object[]{"testValue2"}); try { // Should fail because Map with multiple entries cannot be standardized as single value - DataTypeTransformer.standardize(COLUMN, map, true); + DataTypeTransformer.standardize(record, COLUMN, map, true); fail(); } catch (Exception e) { // Expected } - assertEqualsNoOrder((Object[]) DataTypeTransformer.standardize(COLUMN, map, false), expectedValues); + assertEqualsNoOrder((Object[]) DataTypeTransformer.standardize(record, COLUMN, map, false), expectedValues); // List with two single-entry Maps and one empty Map list = Arrays @@ -168,35 +170,35 @@ public void testStandardize() { Collections.emptyMap()); try { // Should fail because List with multiple entries cannot be standardized as single value - DataTypeTransformer.standardize(COLUMN, list, true); + DataTypeTransformer.standardize(record, COLUMN, list, true); fail(); } catch (Exception e) { // Expected } - assertEquals((Object[]) DataTypeTransformer.standardize(COLUMN, list, false), expectedValues); + assertEquals((Object[]) DataTypeTransformer.standardize(record, COLUMN, list, false), expectedValues); // Object[] with two single-entry Maps values = new Object[]{Collections.singletonMap("testKey", "testValue1"), Collections.singletonMap("testKey", "testValue2")}; try { // Should fail because Object[] with multiple entries cannot be standardized as single value - DataTypeTransformer.standardize(COLUMN, values, true); + DataTypeTransformer.standardize(record, COLUMN, values, true); fail(); } catch (Exception e) { // Expected } - assertEqualsNoOrder((Object[]) DataTypeTransformer.standardize(COLUMN, values, false), expectedValues); + assertEqualsNoOrder((Object[]) DataTypeTransformer.standardize(record, COLUMN, values, false), expectedValues); // Object[] with one empty Object[], one multi-entries List of nested Map/List/Object[] values = new Object[]{new Object[0], Collections.singletonList( Collections.singletonMap("testKey", "testValue1")), Collections.singletonMap("testKey", Arrays.asList(new Object[]{"testValue2"}, Collections.emptyMap()))}; try { - DataTypeTransformer.standardize(COLUMN, values, true); + DataTypeTransformer.standardize(record, COLUMN, values, true); fail(); } catch (Exception e) { // Expected } - assertEqualsNoOrder((Object[]) DataTypeTransformer.standardize(COLUMN, values, false), expectedValues); + assertEqualsNoOrder((Object[]) DataTypeTransformer.standardize(record, COLUMN, values, false), expectedValues); } } diff --git a/pinot-core/src/test/java/org/apache/pinot/query/executor/QueryExecutorTest.java b/pinot-core/src/test/java/org/apache/pinot/query/executor/QueryExecutorTest.java index c28a2d87861..994f684f82b 100644 --- a/pinot-core/src/test/java/org/apache/pinot/query/executor/QueryExecutorTest.java +++ b/pinot-core/src/test/java/org/apache/pinot/query/executor/QueryExecutorTest.java @@ -93,10 +93,17 @@ public void setUp() driver.init(config); driver.build(); IngestionSchemaValidator ingestionSchemaValidator = driver.getIngestionSchemaValidator(); - Assert.assertFalse(ingestionSchemaValidator.getDataTypeMismatchResult().isMismatchDetected()); - Assert.assertFalse(ingestionSchemaValidator.getSingleValueMultiValueFieldMismatchResult().isMismatchDetected()); - Assert.assertFalse(ingestionSchemaValidator.getMultiValueStructureMismatchResult().isMismatchDetected()); - Assert.assertFalse(ingestionSchemaValidator.getMissingPinotColumnResult().isMismatchDetected()); + + Assert.assertFalse(ingestionSchemaValidator.getFileBasedSchemaValidationResults().getDataTypeMismatchResult() + .isMismatchDetected()); + Assert.assertFalse( + ingestionSchemaValidator.getFileBasedSchemaValidationResults().getSingleValueMultiValueFieldMismatchResult() + .isMismatchDetected()); + Assert.assertFalse( + ingestionSchemaValidator.getFileBasedSchemaValidationResults().getMultiValueStructureMismatchResult() + .isMismatchDetected()); + Assert.assertFalse(ingestionSchemaValidator.getFileBasedSchemaValidationResults().getMissingPinotColumnResult() + .isMismatchDetected()); _indexSegments.add(ImmutableSegmentLoader.load(new File(INDEX_DIR, driver.getSegmentName()), ReadMode.mmap)); _segmentNames.add(driver.getSegmentName()); } diff --git a/pinot-plugins/pinot-batch-ingestion/v0_deprecated/pinot-hadoop/src/main/java/org/apache/pinot/hadoop/job/mappers/SegmentCreationMapper.java b/pinot-plugins/pinot-batch-ingestion/v0_deprecated/pinot-hadoop/src/main/java/org/apache/pinot/hadoop/job/mappers/SegmentCreationMapper.java index fcc5653e620..46c76375c62 100644 --- a/pinot-plugins/pinot-batch-ingestion/v0_deprecated/pinot-hadoop/src/main/java/org/apache/pinot/hadoop/job/mappers/SegmentCreationMapper.java +++ b/pinot-plugins/pinot-batch-ingestion/v0_deprecated/pinot-hadoop/src/main/java/org/apache/pinot/hadoop/job/mappers/SegmentCreationMapper.java @@ -52,8 +52,10 @@ import org.apache.pinot.spi.config.table.TableCustomConfig; import org.apache.pinot.spi.data.DateTimeFieldSpec; import org.apache.pinot.spi.data.DateTimeFormatSpec; +import org.apache.pinot.spi.data.RowBasedSchemaValidationResults; import org.apache.pinot.spi.data.Schema; import org.apache.pinot.spi.data.IngestionSchemaValidator; +import org.apache.pinot.spi.data.SchemaValidationResults; import org.apache.pinot.spi.data.readers.FileFormat; import org.apache.pinot.spi.data.readers.RecordReaderConfig; import org.apache.pinot.spi.utils.DataSizeUtils; @@ -91,10 +93,13 @@ public class SegmentCreationMapper extends Mapper>}88z4g4$^Lu{x_58;b<}E+wPyg<}WM9r*vS{Vv 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