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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.exec.vector.mapjoin;
import org.apache.hadoop.hive.ql.CompilationOpContext;
import org.apache.hadoop.hive.ql.exec.JoinUtil;
import org.apache.hadoop.hive.ql.exec.vector.BytesColumnVector;
import org.apache.hadoop.hive.ql.exec.vector.VectorizationContext;
import org.apache.hadoop.hive.ql.exec.vector.VectorizedRowBatch;
import org.apache.hadoop.hive.ql.exec.vector.expressions.StringExpr;
import org.apache.hadoop.hive.ql.exec.vector.expressions.VectorExpression;
import org.apache.hadoop.hive.ql.exec.vector.mapjoin.hashtable.VectorMapJoinBytesHashSet;
import org.apache.hadoop.hive.ql.metadata.HiveException;
import org.apache.hadoop.hive.ql.plan.OperatorDesc;
import org.apache.hadoop.hive.ql.plan.VectorDesc;
import org.slf4j.Logger;
import org.slf4j.LoggerFactory;
import java.util.Arrays;
// Single-Column String hash table import.
// Single-Column String specific imports.
// TODO : Duplicate codes need to merge with semi join.
/*
* Specialized class for doing a vectorized map join that is an anti join on a Single-Column String
* using a hash set.
*/
public class VectorMapJoinAntiJoinStringOperator extends VectorMapJoinAntiJoinGenerateResultOperator {
private static final long serialVersionUID = 1L;
//------------------------------------------------------------------------------------------------
private static final String CLASS_NAME = VectorMapJoinAntiJoinStringOperator.class.getName();
private static final Logger LOG = LoggerFactory.getLogger(CLASS_NAME);
protected String getLoggingPrefix() {
return super.getLoggingPrefix(CLASS_NAME);
}
//------------------------------------------------------------------------------------------------
// (none)
// The above members are initialized by the constructor and must not be
// transient.
//---------------------------------------------------------------------------
// The hash map for this specialized class.
private transient VectorMapJoinBytesHashSet hashSet;
//---------------------------------------------------------------------------
// Single-Column String specific members.
//
// The column number for this one column join specialization.
private transient int singleJoinColumn;
//---------------------------------------------------------------------------
// Pass-thru constructors.
//
/** Kryo ctor. */
protected VectorMapJoinAntiJoinStringOperator() {
super();
}
public VectorMapJoinAntiJoinStringOperator(CompilationOpContext ctx) {
super(ctx);
}
public VectorMapJoinAntiJoinStringOperator(CompilationOpContext ctx, OperatorDesc conf,
VectorizationContext vContext, VectorDesc vectorDesc) throws HiveException {
super(ctx, conf, vContext, vectorDesc);
}
//---------------------------------------------------------------------------
// Process Single-Column String anti Join on a vectorized row batch.
//
@Override
protected void commonSetup() throws HiveException {
super.commonSetup();
/*
* Initialize Single-Column String members for this specialized class.
*/
singleJoinColumn = bigTableKeyColumnMap[0];
}
@Override
public void hashTableSetup() throws HiveException {
super.hashTableSetup();
/*
* Get our Single-Column String hash set information for this specialized class.
*/
hashSet = (VectorMapJoinBytesHashSet) vectorMapJoinHashTable;
}
@Override
public void processBatch(VectorizedRowBatch batch) throws HiveException {
try {
// Do the per-batch setup for an anti join.
// (Currently none)
// antiPerBatchSetup(batch);
// For anti joins, we may apply the filter(s) now.
for(VectorExpression ve : bigTableFilterExpressions) {
ve.evaluate(batch);
}
final int inputLogicalSize = batch.size;
if (inputLogicalSize == 0) {
return;
}
// Perform any key expressions. Results will go into scratch columns.
if (bigTableKeyExpressions != null) {
for (VectorExpression ve : bigTableKeyExpressions) {
ve.evaluate(batch);
}
}
/*
* Single-Column String specific declarations.
*/
// The one join column for this specialized class.
BytesColumnVector joinColVector = (BytesColumnVector) batch.cols[singleJoinColumn];
byte[][] vector = joinColVector.vector;
int[] start = joinColVector.start;
int[] length = joinColVector.length;
/*
* Single-Column Long check for repeating.
*/
// Check single column for repeating.
boolean allKeyInputColumnsRepeating = joinColVector.isRepeating;
if (allKeyInputColumnsRepeating) {
/*
* Repeating.
*/
// All key input columns are repeating. Generate key once. Lookup once.
// Since the key is repeated, we must use entry 0 regardless of selectedInUse.
/*
* Single-Column String specific repeated lookup.
*/
JoinUtil.JoinResult joinResult;
if (!joinColVector.noNulls && joinColVector.isNull[0]) {
joinResult = JoinUtil.JoinResult.MATCH;
} else {
byte[] keyBytes = vector[0];
int keyStart = start[0];
int keyLength = length[0];
joinResult = hashSet.contains(keyBytes, keyStart, keyLength, hashSetResults[0]);
joinResult = inverseResultForAntiJoin(joinResult);
}
/*
* Common repeated join result processing.
*/
if (LOG.isDebugEnabled()) {
LOG.debug(CLASS_NAME + " batch #" + batchCounter + " repeated joinResult " + joinResult.name());
}
finishAntiRepeated(batch, joinResult, hashSetResults[0]);
} else {
/*
* NOT Repeating.
*/
if (LOG.isDebugEnabled()) {
LOG.debug(CLASS_NAME + " batch #" + batchCounter + " non-repeated");
}
// We remember any matching rows in matches / matchSize. At the end of the loop,
// selected / batch.size will represent both matching and non-matching rows for outer join.
// Only deferred rows will have been removed from selected.
int selected[] = batch.selected;
boolean selectedInUse = batch.selectedInUse;
int hashSetResultCount = 0;
int allMatchCount = 0;
int spillCount = 0;
/*
* Single-Column String specific variables.
*/
int saveKeyBatchIndex = -1;
// We optimize performance by only looking up the first key in a series of equal keys.
boolean haveSaveKey = false;
JoinUtil.JoinResult saveJoinResult = JoinUtil.JoinResult.NOMATCH;
// Logical loop over the rows in the batch since the batch may have selected in use.
for (int logical = 0; logical < inputLogicalSize; logical++) {
int batchIndex = (selectedInUse ? selected[logical] : logical);
/*
* Single-Column String get key.
*/
// Implicit -- use batchIndex.
boolean isNull = !joinColVector.noNulls && joinColVector.isNull[batchIndex];
/*
* Equal key series checking.
*/
if (isNull || !haveSaveKey ||
!StringExpr.equal(vector[saveKeyBatchIndex], start[saveKeyBatchIndex], length[saveKeyBatchIndex],
vector[batchIndex], start[batchIndex], length[batchIndex])) {
// New key.
if (haveSaveKey) {
// Move on with our counts.
switch (saveJoinResult) {
case MATCH:
// We have extracted the existence from the hash set result, so we don't keep it.
break;
case SPILL:
// We keep the hash set result for its spill information.
hashSetResultCount++;
break;
case NOMATCH:
break;
}
}
if (isNull) {
saveJoinResult = JoinUtil.JoinResult.NOMATCH;
haveSaveKey = false;
} else {
// Regardless of our matching result, we keep that information to make multiple use
// of it for a possible series of equal keys.
haveSaveKey = true;
/*
* Single-Column String specific save key and lookup.
*/
saveKeyBatchIndex = batchIndex;
/*
* Single-Column String specific lookup key.
*/
byte[] keyBytes = vector[batchIndex];
int keyStart = start[batchIndex];
int keyLength = length[batchIndex];
saveJoinResult = hashSet.contains(keyBytes, keyStart, keyLength, hashSetResults[hashSetResultCount]);
saveJoinResult = inverseResultForAntiJoin(saveJoinResult);
}
/*
* Common anti join result processing.
*/
switch (saveJoinResult) {
case MATCH:
allMatches[allMatchCount++] = batchIndex;
// VectorizedBatchUtil.debugDisplayOneRow(batch, batchIndex, CLASS_NAME + " MATCH isSingleValue " + equalKeySeriesIsSingleValue[equalKeySeriesCount] + " currentKey " + currentKey);
break;
case SPILL:
spills[spillCount] = batchIndex;
spillHashMapResultIndices[spillCount] = hashSetResultCount;
spillCount++;
break;
case NOMATCH:
// VectorizedBatchUtil.debugDisplayOneRow(batch, batchIndex, CLASS_NAME + " NOMATCH" + " currentKey " + currentKey);
break;
}
} else {
// Series of equal keys.
switch (saveJoinResult) {
case MATCH:
allMatches[allMatchCount++] = batchIndex;
// VectorizedBatchUtil.debugDisplayOneRow(batch, batchIndex, CLASS_NAME + " MATCH duplicate");
break;
case SPILL:
spills[spillCount] = batchIndex;
spillHashMapResultIndices[spillCount] = hashSetResultCount;
spillCount++;
break;
case NOMATCH:
// VectorizedBatchUtil.debugDisplayOneRow(batch, batchIndex, CLASS_NAME + " NOMATCH duplicate");
break;
}
}
}
if (haveSaveKey) {
// Update our counts for the last key.
switch (saveJoinResult) {
case MATCH:
// We have extracted the existence from the hash set result, so we don't keep it.
break;
case SPILL:
// We keep the hash set result for its spill information.
hashSetResultCount++;
break;
case NOMATCH:
break;
}
}
if (LOG.isDebugEnabled()) {
LOG.debug(CLASS_NAME +
" allMatches " + intArrayToRangesString(allMatches, allMatchCount) +
" spills " + intArrayToRangesString(spills, spillCount) +
" spillHashMapResultIndices " + intArrayToRangesString(spillHashMapResultIndices, spillCount) +
" hashMapResults " + Arrays.toString(Arrays.copyOfRange(hashSetResults, 0, hashSetResultCount)));
}
finishAnti(batch, allMatchCount, spillCount, hashSetResults);
}
if (batch.size > 0) {
// Forward any remaining selected rows.
forwardBigTableBatch(batch);
}
} catch (Exception e) {
throw new HiveException(e);
}
}
}
