/
Vectorizer.java
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/
Vectorizer.java
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/*
* 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.hadoop.hive.ql.optimizer.physical;
import static org.apache.hadoop.hive.ql.plan.ReduceSinkDesc.ReducerTraits.UNIFORM;
import java.io.IOException;
import java.lang.annotation.Annotation;
import java.util.ArrayList;
import java.util.Arrays;
import java.util.Collection;
import java.util.Collections;
import java.util.HashMap;
import java.util.HashSet;
import java.util.IdentityHashMap;
import java.util.LinkedHashMap;
import java.util.List;
import java.util.Map;
import java.util.Map.Entry;
import java.util.Properties;
import java.util.Set;
import java.util.Stack;
import java.util.TreeSet;
import java.util.regex.Pattern;
import org.apache.commons.lang3.ArrayUtils;
import org.apache.commons.lang3.tuple.ImmutablePair;
import org.apache.hadoop.hive.ql.exec.vector.VectorizedInputFormatInterface;
import org.apache.hadoop.hive.ql.exec.vector.expressions.ConvertDecimal64ToDecimal;
import org.apache.hadoop.hive.ql.exec.vector.expressions.VectorCoalesce;
import org.apache.hadoop.hive.ql.exec.vector.expressions.gen.DecimalColDivideDecimalScalar;
import org.apache.hadoop.hive.ql.exec.vector.mapjoin.VectorMapJoinAntiJoinLongOperator;
import org.apache.hadoop.hive.ql.exec.vector.mapjoin.VectorMapJoinAntiJoinMultiKeyOperator;
import org.apache.hadoop.hive.ql.exec.vector.mapjoin.VectorMapJoinAntiJoinStringOperator;
import org.apache.hadoop.hive.ql.exec.vector.reducesink.*;
import org.apache.hadoop.hive.ql.exec.vector.udf.VectorUDFArgDesc;
import org.apache.hadoop.hive.ql.io.AcidUtils;
import org.apache.hadoop.hive.serde2.lazybinary.LazyBinarySerDe2;
import org.slf4j.Logger;
import org.slf4j.LoggerFactory;
import org.apache.hadoop.fs.Path;
import org.apache.hadoop.hive.common.type.DataTypePhysicalVariation;
import org.apache.hadoop.hive.conf.HiveConf;
import org.apache.hadoop.hive.conf.HiveConf.ConfVars;
import org.apache.hadoop.hive.llap.io.api.LlapProxy;
import org.apache.hadoop.hive.ql.CompilationOpContext;
import org.apache.hadoop.hive.ql.exec.*;
import org.apache.hadoop.hive.ql.exec.mr.MapRedTask;
import org.apache.hadoop.hive.ql.exec.persistence.MapJoinKey;
import org.apache.hadoop.hive.ql.exec.tez.TezTask;
import org.apache.hadoop.hive.ql.exec.vector.VectorExpressionDescriptor;
import org.apache.hadoop.hive.ql.exec.vector.filesink.VectorFileSinkArrowOperator;
import org.apache.hadoop.hive.ql.exec.vector.mapjoin.VectorMapJoinInnerBigOnlyLongOperator;
import org.apache.hadoop.hive.ql.exec.vector.mapjoin.VectorMapJoinInnerBigOnlyMultiKeyOperator;
import org.apache.hadoop.hive.ql.exec.vector.mapjoin.VectorMapJoinInnerBigOnlyStringOperator;
import org.apache.hadoop.hive.ql.exec.vector.mapjoin.VectorMapJoinInnerLongOperator;
import org.apache.hadoop.hive.ql.exec.vector.mapjoin.VectorMapJoinInnerMultiKeyOperator;
import org.apache.hadoop.hive.ql.exec.vector.mapjoin.VectorMapJoinInnerStringOperator;
import org.apache.hadoop.hive.ql.exec.vector.mapjoin.VectorMapJoinLeftSemiLongOperator;
import org.apache.hadoop.hive.ql.exec.vector.mapjoin.VectorMapJoinLeftSemiMultiKeyOperator;
import org.apache.hadoop.hive.ql.exec.vector.mapjoin.VectorMapJoinLeftSemiStringOperator;
import org.apache.hadoop.hive.ql.exec.vector.mapjoin.VectorMapJoinOuterLongOperator;
import org.apache.hadoop.hive.ql.exec.vector.mapjoin.VectorMapJoinOuterMultiKeyOperator;
import org.apache.hadoop.hive.ql.exec.vector.mapjoin.VectorMapJoinOuterStringOperator;
import org.apache.hadoop.hive.ql.exec.vector.mapjoin.VectorMapJoinFullOuterLongOperator;
import org.apache.hadoop.hive.ql.exec.vector.mapjoin.VectorMapJoinFullOuterMultiKeyOperator;
import org.apache.hadoop.hive.ql.exec.vector.mapjoin.VectorMapJoinFullOuterStringOperator;
import org.apache.hadoop.hive.ql.exec.vector.ptf.VectorPTFOperator;
import org.apache.hadoop.hive.ql.exec.vector.udf.VectorUDFAdaptor;
import org.apache.hadoop.hive.ql.exec.vector.ColumnVector;
import org.apache.hadoop.hive.ql.exec.vector.ColumnVector.Type;
import org.apache.hadoop.hive.ql.exec.vector.VectorAggregationDesc;
import org.apache.hadoop.hive.ql.exec.vector.VectorColumnOutputMapping;
import org.apache.hadoop.hive.ql.exec.vector.VectorColumnSourceMapping;
import org.apache.hadoop.hive.ql.exec.vector.VectorMapJoinOperator;
import org.apache.hadoop.hive.ql.exec.vector.VectorMapJoinOuterFilteredOperator;
import org.apache.hadoop.hive.ql.exec.vector.VectorizationContext;
import org.apache.hadoop.hive.ql.exec.vector.VectorizationOperator;
import org.apache.hadoop.hive.ql.exec.vector.VectorizedUDAFs;
import org.apache.hadoop.hive.ql.exec.vector.VectorizationContext.HiveVectorAdaptorUsageMode;
import org.apache.hadoop.hive.ql.exec.vector.VectorizationContext.InConstantType;
import org.apache.hadoop.hive.ql.exec.vector.VectorizationContextRegion;
import org.apache.hadoop.hive.ql.exec.vector.VectorizedSupport.Support;
import org.apache.hadoop.hive.ql.exec.vector.expressions.IdentityExpression;
import org.apache.hadoop.hive.ql.exec.vector.expressions.VectorExpression;
import org.apache.hadoop.hive.ql.exec.vector.expressions.aggregates.VectorAggregateExpression;
import org.apache.hadoop.hive.ql.io.NullRowsInputFormat;
import org.apache.hadoop.hive.ql.io.OneNullRowInputFormat;
import org.apache.hadoop.hive.ql.io.orc.OrcInputFormat;
import org.apache.hadoop.hive.ql.io.ZeroRowsInputFormat;
import org.apache.hadoop.hive.ql.exec.vector.VectorizedRowBatchCtx;
import org.apache.hadoop.hive.ql.lib.SemanticDispatcher;
import org.apache.hadoop.hive.ql.lib.Node;
import org.apache.hadoop.hive.ql.lib.TaskGraphWalker;
import org.apache.hadoop.hive.ql.metadata.HiveException;
import org.apache.hadoop.hive.ql.metadata.VirtualColumn;
import org.apache.hadoop.hive.ql.parse.SemanticException;
import org.apache.hadoop.hive.ql.parse.WindowingSpec.WindowType;
import org.apache.hadoop.hive.ql.plan.AbstractOperatorDesc;
import org.apache.hadoop.hive.ql.plan.AggregationDesc;
import org.apache.hadoop.hive.ql.plan.AppMasterEventDesc;
import org.apache.hadoop.hive.ql.plan.BaseWork;
import org.apache.hadoop.hive.ql.plan.Explain;
import org.apache.hadoop.hive.ql.plan.ExprNodeColumnDesc;
import org.apache.hadoop.hive.ql.plan.ExprNodeDesc;
import org.apache.hadoop.hive.ql.plan.ExprNodeDesc.ExprNodeDescEqualityWrapper;
import org.apache.hadoop.hive.ql.plan.ExprNodeGenericFuncDesc;
import org.apache.hadoop.hive.ql.plan.FileSinkDesc;
import org.apache.hadoop.hive.ql.plan.FilterDesc;
import org.apache.hadoop.hive.ql.plan.GroupByDesc;
import org.apache.hadoop.hive.ql.plan.JoinDesc;
import org.apache.hadoop.hive.ql.plan.LimitDesc;
import org.apache.hadoop.hive.ql.plan.MapJoinDesc;
import org.apache.hadoop.hive.ql.plan.MapWork;
import org.apache.hadoop.hive.ql.plan.MapredWork;
import org.apache.hadoop.hive.ql.plan.MergeJoinWork;
import org.apache.hadoop.hive.ql.plan.OperatorDesc;
import org.apache.hadoop.hive.ql.plan.PTFDesc;
import org.apache.hadoop.hive.ql.plan.SelectDesc;
import org.apache.hadoop.hive.ql.plan.TopNKeyDesc;
import org.apache.hadoop.hive.ql.plan.VectorAppMasterEventDesc;
import org.apache.hadoop.hive.ql.plan.VectorDesc;
import org.apache.hadoop.hive.ql.plan.VectorFileSinkDesc;
import org.apache.hadoop.hive.ql.plan.VectorFilterDesc;
import org.apache.hadoop.hive.ql.plan.VectorPTFDesc;
import org.apache.hadoop.hive.ql.plan.VectorPTFInfo;
import org.apache.hadoop.hive.ql.plan.VectorPTFDesc.SupportedFunctionType;
import org.apache.hadoop.hive.ql.plan.VectorTableScanDesc;
import org.apache.hadoop.hive.ql.plan.VectorGroupByDesc.ProcessingMode;
import org.apache.hadoop.hive.ql.plan.VectorTopNKeyDesc;
import org.apache.hadoop.hive.ql.plan.VectorLimitDesc;
import org.apache.hadoop.hive.ql.plan.VectorMapJoinInfo;
import org.apache.hadoop.hive.ql.plan.VectorSMBJoinDesc;
import org.apache.hadoop.hive.ql.plan.PartitionDesc;
import org.apache.hadoop.hive.ql.plan.ReduceSinkDesc;
import org.apache.hadoop.hive.ql.plan.ReduceWork;
import org.apache.hadoop.hive.ql.plan.SMBJoinDesc;
import org.apache.hadoop.hive.ql.plan.TableDesc;
import org.apache.hadoop.hive.ql.plan.TableScanDesc;
import org.apache.hadoop.hive.ql.plan.TezWork;
import org.apache.hadoop.hive.ql.plan.VectorGroupByDesc;
import org.apache.hadoop.hive.ql.plan.VectorMapJoinDesc;
import org.apache.hadoop.hive.ql.plan.VectorMapJoinDesc.HashTableImplementationType;
import org.apache.hadoop.hive.ql.plan.VectorMapJoinDesc.HashTableKeyType;
import org.apache.hadoop.hive.ql.plan.VectorMapJoinDesc.HashTableKind;
import org.apache.hadoop.hive.ql.plan.VectorMapJoinDesc.VectorMapJoinVariation;
import org.apache.hadoop.hive.ql.plan.VectorPartitionDesc.VectorDeserializeType;
import org.apache.hadoop.hive.ql.plan.VectorReduceSinkDesc;
import org.apache.hadoop.hive.ql.plan.VectorReduceSinkInfo;
import org.apache.hadoop.hive.ql.plan.VectorPartitionDesc;
import org.apache.hadoop.hive.ql.plan.VectorSelectDesc;
import org.apache.hadoop.hive.ql.plan.api.OperatorType;
import org.apache.hadoop.hive.ql.plan.mapper.PlanMapper;
import org.apache.hadoop.hive.ql.plan.ptf.OrderExpressionDef;
import org.apache.hadoop.hive.ql.plan.ptf.PTFExpressionDef;
import org.apache.hadoop.hive.ql.plan.ptf.PartitionedTableFunctionDef;
import org.apache.hadoop.hive.ql.plan.ptf.WindowFrameDef;
import org.apache.hadoop.hive.ql.plan.ptf.WindowFunctionDef;
import org.apache.hadoop.hive.ql.plan.ptf.WindowTableFunctionDef;
import org.apache.hadoop.hive.ql.udf.UDFAcos;
import org.apache.hadoop.hive.ql.udf.UDFAsin;
import org.apache.hadoop.hive.ql.udf.UDFAtan;
import org.apache.hadoop.hive.ql.udf.UDFBin;
import org.apache.hadoop.hive.ql.udf.UDFConv;
import org.apache.hadoop.hive.ql.udf.UDFCos;
import org.apache.hadoop.hive.ql.udf.UDFDayOfMonth;
import org.apache.hadoop.hive.ql.udf.UDFDayOfWeek;
import org.apache.hadoop.hive.ql.udf.UDFDegrees;
import org.apache.hadoop.hive.ql.udf.UDFExp;
import org.apache.hadoop.hive.ql.udf.UDFHex;
import org.apache.hadoop.hive.ql.udf.UDFHour;
import org.apache.hadoop.hive.ql.udf.UDFLike;
import org.apache.hadoop.hive.ql.udf.UDFLn;
import org.apache.hadoop.hive.ql.udf.UDFLog;
import org.apache.hadoop.hive.ql.udf.UDFLog10;
import org.apache.hadoop.hive.ql.udf.UDFLog2;
import org.apache.hadoop.hive.ql.udf.UDFMinute;
import org.apache.hadoop.hive.ql.udf.UDFMonth;
import org.apache.hadoop.hive.ql.udf.UDFRadians;
import org.apache.hadoop.hive.ql.udf.UDFRand;
import org.apache.hadoop.hive.ql.udf.UDFRegExpExtract;
import org.apache.hadoop.hive.ql.udf.UDFRegExpReplace;
import org.apache.hadoop.hive.ql.udf.UDFSecond;
import org.apache.hadoop.hive.ql.udf.UDFSign;
import org.apache.hadoop.hive.ql.udf.UDFSin;
import org.apache.hadoop.hive.ql.udf.UDFSqrt;
import org.apache.hadoop.hive.ql.udf.UDFSubstr;
import org.apache.hadoop.hive.ql.udf.UDFTan;
import org.apache.hadoop.hive.ql.udf.UDFToBoolean;
import org.apache.hadoop.hive.ql.udf.UDFToByte;
import org.apache.hadoop.hive.ql.udf.UDFToDouble;
import org.apache.hadoop.hive.ql.udf.UDFToFloat;
import org.apache.hadoop.hive.ql.udf.UDFToInteger;
import org.apache.hadoop.hive.ql.udf.UDFToLong;
import org.apache.hadoop.hive.ql.udf.UDFToShort;
import org.apache.hadoop.hive.ql.udf.UDFWeekOfYear;
import org.apache.hadoop.hive.ql.udf.UDFYear;
import org.apache.hadoop.hive.ql.udf.generic.*;
import org.apache.hadoop.hive.serde.serdeConstants;
import org.apache.hadoop.hive.serde2.AbstractSerDe;
import org.apache.hadoop.hive.serde2.Deserializer;
import org.apache.hadoop.hive.serde2.NullStructSerDe;
import org.apache.hadoop.hive.serde2.lazy.LazySimpleSerDe;
import org.apache.hadoop.hive.serde2.lazybinary.LazyBinarySerDe;
import org.apache.hadoop.hive.serde2.objectinspector.ObjectInspector;
import org.apache.hadoop.hive.serde2.objectinspector.ObjectInspector.Category;
import org.apache.hadoop.hive.serde2.objectinspector.ObjectInspectorUtils;
import org.apache.hadoop.hive.serde2.objectinspector.PrimitiveObjectInspector.PrimitiveCategory;
import org.apache.hadoop.hive.serde2.objectinspector.StructField;
import org.apache.hadoop.hive.serde2.objectinspector.StructObjectInspector;
import org.apache.hadoop.hive.serde2.typeinfo.DecimalTypeInfo;
import org.apache.hadoop.hive.serde2.typeinfo.ListTypeInfo;
import org.apache.hadoop.hive.serde2.typeinfo.MapTypeInfo;
import org.apache.hadoop.hive.serde2.typeinfo.PrimitiveTypeInfo;
import org.apache.hadoop.hive.serde2.typeinfo.StructTypeInfo;
import org.apache.hadoop.hive.serde2.typeinfo.TypeInfo;
import org.apache.hadoop.hive.serde2.typeinfo.TypeInfoUtils;
import org.apache.hadoop.hive.serde2.io.HiveDecimalWritable;
import org.apache.hadoop.mapred.InputFormat;
import org.apache.hadoop.mapred.SequenceFileInputFormat;
import org.apache.hadoop.mapred.TextInputFormat;
import org.apache.hive.common.util.AnnotationUtils;
import org.apache.hadoop.util.ReflectionUtils;
import com.google.common.collect.ImmutableSet;
import com.google.common.base.Preconditions;
public class Vectorizer implements PhysicalPlanResolver {
protected static transient final Logger LOG = LoggerFactory.getLogger(Vectorizer.class);
private static final Pattern supportedDataTypesPattern;
private static final TypeInfo[] EMPTY_TYPEINFO_ARRAY = new TypeInfo[0];
static {
StringBuilder patternBuilder = new StringBuilder();
patternBuilder.append("int");
patternBuilder.append("|smallint");
patternBuilder.append("|tinyint");
patternBuilder.append("|bigint");
patternBuilder.append("|integer");
patternBuilder.append("|long");
patternBuilder.append("|short");
patternBuilder.append("|timestamp");
patternBuilder.append("|" + serdeConstants.INTERVAL_YEAR_MONTH_TYPE_NAME);
patternBuilder.append("|" + serdeConstants.INTERVAL_DAY_TIME_TYPE_NAME);
patternBuilder.append("|boolean");
patternBuilder.append("|binary");
patternBuilder.append("|string");
patternBuilder.append("|byte");
patternBuilder.append("|float");
patternBuilder.append("|double");
patternBuilder.append("|date");
patternBuilder.append("|void");
// Decimal types can be specified with different precision and scales e.g. decimal(10,5),
// as opposed to other data types which can be represented by constant strings.
// The regex matches only the "decimal" prefix of the type.
patternBuilder.append("|decimal.*");
// CHAR and VARCHAR types can be specified with maximum length.
patternBuilder.append("|char.*");
patternBuilder.append("|varchar.*");
supportedDataTypesPattern = Pattern.compile(patternBuilder.toString());
}
private Set<Class<?>> supportedGenericUDFs = new HashSet<Class<?>>();
private Set<String> supportedAggregationUdfs = new HashSet<String>();
// The set of virtual columns that vectorized readers *MAY* support.
public static final ImmutableSet<VirtualColumn> vectorizableVirtualColumns =
ImmutableSet.of(VirtualColumn.ROWID, VirtualColumn.ROWISDELETED);
private HiveConf hiveConf;
public enum EnabledOverride {
NONE,
DISABLE,
ENABLE;
public static final Map<String, EnabledOverride> nameMap =
new HashMap<String, EnabledOverride>();
static {
for (EnabledOverride vectorizationEnabledOverride : values()) {
nameMap.put(
vectorizationEnabledOverride.name().toLowerCase(), vectorizationEnabledOverride);
}
};
}
private boolean isVectorizationEnabled;
private EnabledOverride vectorizationEnabledOverride;
private boolean isTestForcedVectorizationEnable;
private boolean useVectorizedInputFileFormat;
private boolean useVectorDeserialize;
private boolean useRowDeserialize;
private boolean isReduceVectorizationEnabled;
private boolean isPtfVectorizationEnabled;
private boolean isVectorizationComplexTypesEnabled;
// Now deprecated.
private boolean isVectorizationGroupByComplexTypesEnabled;
private boolean isVectorizedRowIdentifierEnabled;
private String vectorizedInputFormatSupportEnabled;
private boolean isLlapIoEnabled;
private Set<Support> vectorizedInputFormatSupportEnabledSet;
private Collection<Class<?>> rowDeserializeInputFormatExcludes;
private int vectorizedPTFMaxMemoryBufferingBatchCount;
private int vectorizedTestingReducerBatchSize;
private boolean isTestVectorizerSuppressFatalExceptions;
private boolean isSchemaEvolution;
private HiveVectorAdaptorUsageMode hiveVectorAdaptorUsageMode;
private static final Set<Support> vectorDeserializeTextSupportSet = new TreeSet<Support>();
static {
vectorDeserializeTextSupportSet.addAll(Arrays.asList(Support.values()));
}
private static final Set<String> supportedAcidInputFormats = new TreeSet<String>();
static {
supportedAcidInputFormats.add(OrcInputFormat.class.getName());
// For metadataonly or empty rows optimizations, null/onerow input format can be selected.
supportedAcidInputFormats.add(NullRowsInputFormat.class.getName());
supportedAcidInputFormats.add(OneNullRowInputFormat.class.getName());
supportedAcidInputFormats.add(ZeroRowsInputFormat.class.getName());
}
private boolean isTestVectorizationSuppressExplainExecutionMode;
private BaseWork currentBaseWork;
private Operator<? extends OperatorDesc> currentOperator;
private Collection<Class<?>> vectorizedInputFormatExcludes;
private Map<Operator<? extends OperatorDesc>, Set<ImmutablePair<Operator<? extends OperatorDesc>, Operator<? extends OperatorDesc>>>> delayedFixups =
new IdentityHashMap<Operator<? extends OperatorDesc>, Set<ImmutablePair<Operator<?>, Operator<?>>>>();
public void testSetCurrentBaseWork(BaseWork testBaseWork) {
currentBaseWork = testBaseWork;
}
private void setNodeIssue(String issue) {
currentBaseWork.setNotVectorizedReason(
VectorizerReason.createNodeIssue(issue));
}
private void setOperatorIssue(String issue) {
currentBaseWork.setNotVectorizedReason(
VectorizerReason.createOperatorIssue(currentOperator, issue));
}
private void setExpressionIssue(String expressionTitle, String issue) {
currentBaseWork.setNotVectorizedReason(
VectorizerReason.createExpressionIssue(currentOperator, expressionTitle, issue));
}
private void clearNotVectorizedReason() {
currentBaseWork.setNotVectorizedReason(null);
}
private long vectorizedVertexNum = -1;
private Set<VirtualColumn> availableVectorizedVirtualColumnSet = null;
private Set<VirtualColumn> neededVirtualColumnSet = null;
private PlanMapper planMapper;
public class VectorizerCannotVectorizeException extends Exception {
}
public Vectorizer() {
/*
* We check UDFs against the supportedGenericUDFs when
* hive.vectorized.adaptor.usage.mode=chosen or none.
*
* We allow all UDFs for hive.vectorized.adaptor.usage.mode=all.
*/
supportedGenericUDFs.add(GenericUDFOPPlus.class);
supportedGenericUDFs.add(GenericUDFOPMinus.class);
supportedGenericUDFs.add(GenericUDFOPMultiply.class);
supportedGenericUDFs.add(GenericUDFOPDivide.class);
supportedGenericUDFs.add(GenericUDFOPMod.class);
supportedGenericUDFs.add(GenericUDFOPNegative.class);
supportedGenericUDFs.add(GenericUDFOPPositive.class);
supportedGenericUDFs.add(GenericUDFOPEqualOrLessThan.class);
supportedGenericUDFs.add(GenericUDFOPEqualOrGreaterThan.class);
supportedGenericUDFs.add(GenericUDFOPGreaterThan.class);
supportedGenericUDFs.add(GenericUDFOPLessThan.class);
supportedGenericUDFs.add(GenericUDFOPNot.class);
supportedGenericUDFs.add(GenericUDFOPNotEqual.class);
supportedGenericUDFs.add(GenericUDFOPNotNull.class);
supportedGenericUDFs.add(GenericUDFOPNull.class);
supportedGenericUDFs.add(GenericUDFOPOr.class);
supportedGenericUDFs.add(GenericUDFOPAnd.class);
supportedGenericUDFs.add(GenericUDFOPEqual.class);
supportedGenericUDFs.add(GenericUDFLength.class);
supportedGenericUDFs.add(GenericUDFCharacterLength.class);
supportedGenericUDFs.add(GenericUDFOctetLength.class);
supportedGenericUDFs.add(UDFYear.class);
supportedGenericUDFs.add(UDFMonth.class);
supportedGenericUDFs.add(UDFDayOfMonth.class);
supportedGenericUDFs.add(UDFDayOfWeek.class);
supportedGenericUDFs.add(UDFHour.class);
supportedGenericUDFs.add(UDFMinute.class);
supportedGenericUDFs.add(UDFSecond.class);
supportedGenericUDFs.add(UDFWeekOfYear.class);
supportedGenericUDFs.add(GenericUDFToUnixTimeStamp.class);
supportedGenericUDFs.add(GenericUDFFromUnixTime.class);
supportedGenericUDFs.add(GenericUDFDateAdd.class);
supportedGenericUDFs.add(GenericUDFDateSub.class);
supportedGenericUDFs.add(GenericUDFDate.class);
supportedGenericUDFs.add(GenericUDFDateDiff.class);
supportedGenericUDFs.add(UDFLike.class);
supportedGenericUDFs.add(GenericUDFRegExp.class);
supportedGenericUDFs.add(UDFRegExpExtract.class);
supportedGenericUDFs.add(UDFRegExpReplace.class);
supportedGenericUDFs.add(UDFSubstr.class);
supportedGenericUDFs.add(GenericUDFLTrim.class);
supportedGenericUDFs.add(GenericUDFRTrim.class);
supportedGenericUDFs.add(GenericUDFTrim.class);
supportedGenericUDFs.add(UDFSin.class);
supportedGenericUDFs.add(UDFCos.class);
supportedGenericUDFs.add(UDFTan.class);
supportedGenericUDFs.add(UDFAsin.class);
supportedGenericUDFs.add(UDFAcos.class);
supportedGenericUDFs.add(UDFAtan.class);
supportedGenericUDFs.add(UDFDegrees.class);
supportedGenericUDFs.add(UDFRadians.class);
supportedGenericUDFs.add(GenericUDFFloor.class);
supportedGenericUDFs.add(GenericUDFCeil.class);
supportedGenericUDFs.add(UDFExp.class);
supportedGenericUDFs.add(UDFLn.class);
supportedGenericUDFs.add(UDFLog2.class);
supportedGenericUDFs.add(UDFLog10.class);
supportedGenericUDFs.add(UDFLog.class);
supportedGenericUDFs.add(GenericUDFPower.class);
supportedGenericUDFs.add(GenericUDFRound.class);
supportedGenericUDFs.add(GenericUDFBRound.class);
supportedGenericUDFs.add(GenericUDFPosMod.class);
supportedGenericUDFs.add(UDFSqrt.class);
supportedGenericUDFs.add(UDFSign.class);
supportedGenericUDFs.add(UDFRand.class);
supportedGenericUDFs.add(UDFBin.class);
supportedGenericUDFs.add(UDFHex.class);
supportedGenericUDFs.add(UDFConv.class);
supportedGenericUDFs.add(GenericUDFLower.class);
supportedGenericUDFs.add(GenericUDFUpper.class);
supportedGenericUDFs.add(GenericUDFConcat.class);
supportedGenericUDFs.add(GenericUDFAbs.class);
supportedGenericUDFs.add(GenericUDFBetween.class);
supportedGenericUDFs.add(GenericUDFIn.class);
supportedGenericUDFs.add(GenericUDFCase.class);
supportedGenericUDFs.add(GenericUDFWhen.class);
supportedGenericUDFs.add(GenericUDFCoalesce.class);
supportedGenericUDFs.add(GenericUDFElt.class);
supportedGenericUDFs.add(GenericUDFInitCap.class);
supportedGenericUDFs.add(GenericUDFInBloomFilter.class);
supportedGenericUDFs.add(GenericUDFMurmurHash.class);
// For type casts
supportedGenericUDFs.add(UDFToLong.class);
supportedGenericUDFs.add(UDFToInteger.class);
supportedGenericUDFs.add(UDFToShort.class);
supportedGenericUDFs.add(UDFToByte.class);
supportedGenericUDFs.add(UDFToBoolean.class);
supportedGenericUDFs.add(UDFToFloat.class);
supportedGenericUDFs.add(UDFToDouble.class);
supportedGenericUDFs.add(GenericUDFToString.class);
supportedGenericUDFs.add(GenericUDFTimestamp.class);
supportedGenericUDFs.add(GenericUDFToDecimal.class);
supportedGenericUDFs.add(GenericUDFToDate.class);
supportedGenericUDFs.add(GenericUDFToChar.class);
supportedGenericUDFs.add(GenericUDFToVarchar.class);
supportedGenericUDFs.add(GenericUDFToIntervalYearMonth.class);
supportedGenericUDFs.add(GenericUDFToIntervalDayTime.class);
// For conditional expressions
supportedGenericUDFs.add(GenericUDFIf.class);
supportedAggregationUdfs.add("min");
supportedAggregationUdfs.add("max");
supportedAggregationUdfs.add("count");
supportedAggregationUdfs.add("sum");
supportedAggregationUdfs.add("avg");
supportedAggregationUdfs.add("variance");
supportedAggregationUdfs.add("var_pop");
supportedAggregationUdfs.add("var_samp");
supportedAggregationUdfs.add("std");
supportedAggregationUdfs.add("stddev");
supportedAggregationUdfs.add("stddev_pop");
supportedAggregationUdfs.add("stddev_samp");
supportedAggregationUdfs.add("bloom_filter");
supportedAggregationUdfs.add("compute_bit_vector_hll");
}
private class VectorTaskColumnInfo {
List<String> allColumnNames;
List<TypeInfo> allTypeInfos;
List<Integer> dataColumnNums;
int partitionColumnCount;
List<VirtualColumn> availableVirtualColumnList;
List<VirtualColumn> neededVirtualColumnList;
//not to be confused with useVectorizedInputFileFormat at Vectorizer level
//which represents the value of configuration hive.vectorized.use.vectorized.input.format
private boolean useVectorizedInputFileFormat;
Set<Support> inputFormatSupportSet;
Set<Support> supportSetInUse;
List<String> supportRemovedReasons;
List<DataTypePhysicalVariation> allDataTypePhysicalVariations;
boolean allNative;
boolean usesVectorUDFAdaptor;
String[] scratchTypeNameArray;
DataTypePhysicalVariation[] scratchdataTypePhysicalVariations;
String reduceColumnSortOrder;
String reduceColumnNullOrder;
VectorTaskColumnInfo() {
partitionColumnCount = 0;
}
public void assume() {
allNative = true;
usesVectorUDFAdaptor = false;
}
public void setAllColumnNames(List<String> allColumnNames) {
this.allColumnNames = allColumnNames;
}
public void setAllTypeInfos(List<TypeInfo> allTypeInfos) {
this.allTypeInfos = allTypeInfos;
}
public void setDataColumnNums(List<Integer> dataColumnNums) {
this.dataColumnNums = dataColumnNums;
}
public void setPartitionColumnCount(int partitionColumnCount) {
this.partitionColumnCount = partitionColumnCount;
}
public void setAvailableVirtualColumnList(List<VirtualColumn> availableVirtualColumnList) {
this.availableVirtualColumnList = availableVirtualColumnList;
}
public void setNeededVirtualColumnList(List<VirtualColumn> neededVirtualColumnList) {
this.neededVirtualColumnList = neededVirtualColumnList;
}
public void setSupportSetInUse(Set<Support> supportSetInUse) {
this.supportSetInUse = supportSetInUse;
}
public void setSupportRemovedReasons(List<String> supportRemovedReasons) {
this.supportRemovedReasons = supportRemovedReasons;
}
public void setAlldataTypePhysicalVariations(List<DataTypePhysicalVariation> allDataTypePhysicalVariations) {
this.allDataTypePhysicalVariations = allDataTypePhysicalVariations;
}
public void setScratchTypeNameArray(String[] scratchTypeNameArray) {
this.scratchTypeNameArray = scratchTypeNameArray;
}
public void setScratchdataTypePhysicalVariationsArray(DataTypePhysicalVariation[] scratchdataTypePhysicalVariations) {
this.scratchdataTypePhysicalVariations = scratchdataTypePhysicalVariations;
}
public void setAllNative(boolean allNative) {
this.allNative = allNative;
}
public void setUsesVectorUDFAdaptor(boolean usesVectorUDFAdaptor) {
this.usesVectorUDFAdaptor = usesVectorUDFAdaptor;
}
public void setUseVectorizedInputFileFormat(boolean useVectorizedInputFileFormat) {
this.useVectorizedInputFileFormat = useVectorizedInputFileFormat;
}
public void setInputFormatSupportSet(Set<Support> inputFormatSupportSet) {
this.inputFormatSupportSet = inputFormatSupportSet;
}
public void setReduceColumnSortOrder(String reduceColumnSortOrder) {
this.reduceColumnSortOrder = reduceColumnSortOrder;
}
public void setReduceColumnNullOrder(String reduceColumnNullOrder) {
this.reduceColumnNullOrder = reduceColumnNullOrder;
}
public void transferToBaseWork(BaseWork baseWork) {
final int virtualColumnCount =
(availableVirtualColumnList == null ? 0 : availableVirtualColumnList.size());
VirtualColumn[] neededVirtualColumns;
if (neededVirtualColumnList != null && neededVirtualColumnList.size() > 0) {
neededVirtualColumns = neededVirtualColumnList.toArray(new VirtualColumn[0]);
} else {
neededVirtualColumns = new VirtualColumn[0];
}
String[] allColumnNameArray = allColumnNames.toArray(new String[0]);
TypeInfo[] allTypeInfoArray = allTypeInfos.toArray(new TypeInfo[0]);
int[] dataColumnNumsArray;
if (dataColumnNums != null) {
dataColumnNumsArray = ArrayUtils.toPrimitive(dataColumnNums.toArray(new Integer[0]));
} else {
dataColumnNumsArray = null;
}
DataTypePhysicalVariation[] allDataTypePhysicalVariationArray;
if (allDataTypePhysicalVariations == null) {
allDataTypePhysicalVariationArray = new DataTypePhysicalVariation[allTypeInfoArray.length];
Arrays.fill(allDataTypePhysicalVariationArray, DataTypePhysicalVariation.NONE);
} else {
allDataTypePhysicalVariationArray =
allDataTypePhysicalVariations.toArray(new DataTypePhysicalVariation[0]);
}
VectorizedRowBatchCtx vectorizedRowBatchCtx =
new VectorizedRowBatchCtx(
allColumnNameArray,
allTypeInfoArray,
allDataTypePhysicalVariationArray,
dataColumnNumsArray,
partitionColumnCount,
virtualColumnCount,
neededVirtualColumns,
scratchTypeNameArray,
scratchdataTypePhysicalVariations);
baseWork.setVectorizedRowBatchCtx(vectorizedRowBatchCtx);
if (baseWork instanceof MapWork) {
MapWork mapWork = (MapWork) baseWork;
mapWork.setUseVectorizedInputFileFormat(useVectorizedInputFileFormat);
mapWork.setInputFormatSupportSet(inputFormatSupportSet);
mapWork.setSupportSetInUse(supportSetInUse);
mapWork.setSupportRemovedReasons(supportRemovedReasons);
}
if (baseWork instanceof ReduceWork) {
ReduceWork reduceWork = (ReduceWork) baseWork;
reduceWork.setVectorReduceColumnSortOrder(reduceColumnSortOrder);
reduceWork.setVectorReduceColumnNullOrder(reduceColumnNullOrder);
}
baseWork.setAllNative(allNative);
baseWork.setUsesVectorUDFAdaptor(usesVectorUDFAdaptor);
baseWork.setIsTestForcedVectorizationEnable(isTestForcedVectorizationEnable);
baseWork.setIsTestVectorizationSuppressExplainExecutionMode(
isTestVectorizationSuppressExplainExecutionMode);
}
}
/*
* Used as a dummy root operator to attach vectorized operators that will be built in parallel
* to the current non-vectorized operator tree.
*/
private static class DummyRootVectorDesc extends AbstractOperatorDesc {
public DummyRootVectorDesc() {
super();
}
}
private static class DummyOperator extends Operator<DummyRootVectorDesc> {
public DummyOperator() {
super(new CompilationOpContext());
}
@Override
public void process(Object row, int tag) throws HiveException {
throw new RuntimeException("Not used");
}
@Override
public String getName() {
return "DUMMY";
}
@Override
public OperatorType getType() {
return null;
}
}
private static class DummyVectorOperator extends DummyOperator
implements VectorizationOperator {
private VectorizationContext vContext;
public DummyVectorOperator(VectorizationContext vContext) {
super();
this.conf = new DummyRootVectorDesc();
this.vContext = vContext;
}
@Override
public VectorizationContext getInputVectorizationContext() {
return vContext;
}
@Override
public VectorDesc getVectorDesc() {
return null;
}
}
private static List<Operator<? extends OperatorDesc>> newOperatorList() {
return new ArrayList<Operator<? extends OperatorDesc>>();
}
public static void debugDisplayJoinOperatorTree(Operator<? extends OperatorDesc> joinOperator,
String prefix) {
List<Operator<? extends OperatorDesc>> currentParentList = newOperatorList();
currentParentList.add(joinOperator);
int depth = 0;
do {
List<Operator<? extends OperatorDesc>> nextParentList = newOperatorList();
final int count = currentParentList.size();
for (int i = 0; i < count; i++) {
Operator<? extends OperatorDesc> parent = currentParentList.get(i);
System.out.println(prefix + " parent depth " + depth + " " +
parent.getClass().getSimpleName() + " " + parent.toString());
List<Operator<? extends OperatorDesc>> parentList = parent.getParentOperators();
if (parentList == null || parentList.size() == 0) {
continue;
}
nextParentList.addAll(parentList);
}
currentParentList = nextParentList;
depth--;
} while (currentParentList.size() > 0);
List<Operator<? extends OperatorDesc>> currentChildList = newOperatorList();
currentChildList.addAll(joinOperator.getChildOperators());
depth = 1;
do {
List<Operator<? extends OperatorDesc>> nextChildList = newOperatorList();
final int count = currentChildList.size();
for (int i = 0; i < count; i++) {
Operator<? extends OperatorDesc> child = currentChildList.get(i);
System.out.println(prefix + " child depth " + depth + " " +
child.getClass().getSimpleName() + " " + child.toString());
List<Operator<? extends OperatorDesc>> childList = child.getChildOperators();
if (childList == null || childList.size() == 0) {
continue;
}
nextChildList.addAll(childList);
}
currentChildList = nextChildList;
depth--;
} while (currentChildList.size() > 0);
}
private Operator<? extends OperatorDesc> validateAndVectorizeOperatorTree(
Operator<? extends OperatorDesc> nonVecRootOperator,
boolean isReduce, boolean isTez,
VectorTaskColumnInfo vectorTaskColumnInfo)
throws VectorizerCannotVectorizeException {
VectorizationContext taskVContext =
new VectorizationContext(
"Task",
vectorTaskColumnInfo.allColumnNames,
vectorTaskColumnInfo.allTypeInfos,
vectorTaskColumnInfo.allDataTypePhysicalVariations,
hiveConf);
List<Operator<? extends OperatorDesc>> currentParentList = newOperatorList();
currentParentList.add(nonVecRootOperator);
// Start with dummy vector operator as the parent of the parallel vector operator tree we are
// creating
Operator<? extends OperatorDesc> dummyVectorOperator = new DummyVectorOperator(taskVContext);
List<Operator<? extends OperatorDesc>> currentVectorParentList = newOperatorList();
currentVectorParentList.add(dummyVectorOperator);
delayedFixups.clear();
do {
List<Operator<? extends OperatorDesc>> nextParentList = newOperatorList();
List<Operator<? extends OperatorDesc>> nextVectorParentList= newOperatorList();
final int count = currentParentList.size();
for (int i = 0; i < count; i++) {
Operator<? extends OperatorDesc> parent = currentParentList.get(i);
List<Operator<? extends OperatorDesc>> childrenList = parent.getChildOperators();
if (childrenList == null || childrenList.size() == 0) {
continue;
}
Operator<? extends OperatorDesc> vectorParent = currentVectorParentList.get(i);
/*
* Vectorize this parent's children. Plug them into vectorParent's children list.
*
* Add those children / vector children to nextParentList / nextVectorParentList.
*/
doProcessChildren(
parent, vectorParent, nextParentList, nextVectorParentList,
isReduce, isTez, vectorTaskColumnInfo);
}
currentParentList = nextParentList;
currentVectorParentList = nextVectorParentList;
} while (currentParentList.size() > 0);
runDelayedFixups();
return dummyVectorOperator;
}
private void doProcessChildren(
Operator<? extends OperatorDesc> parent,
Operator<? extends OperatorDesc> vectorParent,
List<Operator<? extends OperatorDesc>> nextParentList,
List<Operator<? extends OperatorDesc>> nextVectorParentList,
boolean isReduce, boolean isTez,
VectorTaskColumnInfo vectorTaskColumnInfo)
throws VectorizerCannotVectorizeException {
List<Operator<? extends OperatorDesc>> children = parent.getChildOperators();
final int childrenCount = children.size();
for (int i = 0; i < childrenCount; i++) {
Operator<? extends OperatorDesc> child = children.get(i);
Operator<? extends OperatorDesc> vectorChild =
doProcessChild(
child, vectorParent, isReduce, isTez, vectorTaskColumnInfo);
fixupNewVectorChild(
parent,
vectorParent,
child,
vectorChild);
nextParentList.add(child);
nextVectorParentList.add(vectorChild);
}
}
/*
* Fixup the children and parents of a new vector child.
*
* 1) Add new vector child to the vector parent's children list.
*
* 2) Copy and fixup the parent list of the original child instead of just assuming a 1:1
* relationship.
*
* a) When the child is MapJoinOperator, it will have an extra parent HashTableDummyOperator
* for the MapJoinOperator's small table. It needs to be fixed up, too.
*/
private void fixupNewVectorChild(
Operator<? extends OperatorDesc> parent,
Operator<? extends OperatorDesc> vectorParent,
Operator<? extends OperatorDesc> child,
Operator<? extends OperatorDesc> vectorChild) {
// 1) Add new vector child to the vector parent's children list.
vectorParent.getChildOperators().add(vectorChild);
// 2) Copy and fixup the parent list of the original child instead of just assuming a 1:1
// relationship.
List<Operator<? extends OperatorDesc>> childMultipleParents = newOperatorList();
childMultipleParents.addAll(child.getParentOperators());
final int childMultipleParentCount = childMultipleParents.size();
for (int i = 0; i < childMultipleParentCount; i++) {
Operator<? extends OperatorDesc> childMultipleParent = childMultipleParents.get(i);
if (childMultipleParent == parent) {
childMultipleParents.set(i, vectorParent);
} else {
queueDelayedFixup(childMultipleParent, child, vectorChild);
}
}
vectorChild.setParentOperators(childMultipleParents);
}
/*
* The fix up is delayed so that the parent operators aren't modified until the entire operator
* tree has been vectorized.
*/
private void queueDelayedFixup(Operator<? extends OperatorDesc> parent,
Operator<? extends OperatorDesc> child, Operator<? extends OperatorDesc> vectorChild) {
if (delayedFixups.get(parent) == null) {
HashSet<ImmutablePair<Operator<? extends OperatorDesc>, Operator<? extends OperatorDesc>>> value =
new HashSet<ImmutablePair<Operator<? extends OperatorDesc>, Operator<? extends OperatorDesc>>>(1);
delayedFixups.put(parent, value);
}
delayedFixups.get(parent).add(
new ImmutablePair<Operator<? extends OperatorDesc>, Operator<? extends OperatorDesc>>(
child, vectorChild));
}
private void runDelayedFixups() {
for (Entry<Operator<? extends OperatorDesc>, Set<ImmutablePair<Operator<? extends OperatorDesc>, Operator<? extends OperatorDesc>>>> delayed
: delayedFixups.entrySet()) {
Operator<? extends OperatorDesc> key = delayed.getKey();
Set<ImmutablePair<Operator<? extends OperatorDesc>, Operator<? extends OperatorDesc>>> value =
delayed.getValue();
for (ImmutablePair<Operator<? extends OperatorDesc>, Operator<? extends OperatorDesc>> swap : value) {
fixupOtherParent(key, swap.getLeft(), swap.getRight());
}
}
delayedFixups.clear();
}
private void fixupOtherParent(
Operator<? extends OperatorDesc> childMultipleParent,
Operator<? extends OperatorDesc> child,
Operator<? extends OperatorDesc> vectorChild) {
List<Operator<? extends OperatorDesc>> children = childMultipleParent.getChildOperators();
final int childrenCount = children.size();
for (int i = 0; i < childrenCount; i++) {
Operator<? extends OperatorDesc> myChild = children.get(i);
if (myChild == child) {
children.set(i, vectorChild);
}
}
}
private Operator<? extends OperatorDesc> doProcessChild(
Operator<? extends OperatorDesc> child,
Operator<? extends OperatorDesc> vectorParent,
boolean isReduce, boolean isTez,
VectorTaskColumnInfo vectorTaskColumnInfo)
throws VectorizerCannotVectorizeException {
// Use vector parent to get VectorizationContext.
final VectorizationContext vContext;
if (vectorParent instanceof VectorizationContextRegion) {
vContext = ((VectorizationContextRegion) vectorParent).getOutputVectorizationContext();
} else {
vContext = ((VectorizationOperator) vectorParent).getInputVectorizationContext();
}
Operator<? extends OperatorDesc> vectorChild;
try {
vectorChild =
validateAndVectorizeOperator(child, vContext, isReduce, isTez, vectorTaskColumnInfo);
} catch (HiveException e) {
String issue = "exception: " + VectorizationContext.getStackTraceAsSingleLine(e);
setNodeIssue(issue);
throw new VectorizerCannotVectorizeException();
}
return vectorChild;
}
class VectorizationDispatcher implements SemanticDispatcher {
@Override
public Object dispatch(Node nd, Stack<Node> stack, Object... nodeOutputs)
throws SemanticException {
Task<?> currTask = (Task<?>) nd;
if (currTask instanceof MapRedTask) {
MapredWork mapredWork = ((MapRedTask) currTask).getWork();
MapWork mapWork = mapredWork.getMapWork();
setMapWorkExplainConditions(mapWork);
convertMapWork(mapredWork.getMapWork(), /* isTez */ false);
logMapWorkExplainVectorization(mapWork);