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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.
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package org.apache.hadoop.hive.ql.optimizer;
import java.util.ArrayList;
import java.util.List;
import java.util.Set;
import org.apache.hadoop.hive.conf.HiveConf;
import org.apache.hadoop.hive.ql.optimizer.calcite.translator.HiveOpConverterPostProc;
import org.apache.hadoop.hive.ql.optimizer.correlation.CorrelationOptimizer;
import org.apache.hadoop.hive.ql.optimizer.correlation.ReduceSinkDeDuplication;
import org.apache.hadoop.hive.ql.optimizer.lineage.Generator;
import org.apache.hadoop.hive.ql.optimizer.listbucketingpruner.ListBucketingPruner;
import org.apache.hadoop.hive.ql.optimizer.metainfo.annotation.AnnotateWithOpTraits;
import org.apache.hadoop.hive.ql.optimizer.pcr.PartitionConditionRemover;
import org.apache.hadoop.hive.ql.optimizer.ppr.PartitionPruner;
import org.apache.hadoop.hive.ql.optimizer.stats.annotation.AnnotateWithStatistics;
import org.apache.hadoop.hive.ql.optimizer.unionproc.UnionProcessor;
import org.apache.hadoop.hive.ql.parse.ParseContext;
import org.apache.hadoop.hive.ql.parse.SemanticException;
import org.apache.hadoop.hive.ql.ppd.PredicatePushDown;
import org.apache.hadoop.hive.ql.ppd.PredicateTransitivePropagate;
import org.apache.hadoop.hive.ql.ppd.SimplePredicatePushDown;
import org.apache.hadoop.hive.ql.ppd.SyntheticJoinPredicate;
import com.facebook.presto.hive.$internal.org.slf4j.Logger;
import com.facebook.presto.hive.$internal.org.slf4j.LoggerFactory;
import com.facebook.presto.hive.$internal.com.google.common.base.Splitter;
import com.facebook.presto.hive.$internal.com.google.common.base.Strings;
import com.facebook.presto.hive.$internal.com.google.common.collect.Sets;
/**
* Implementation of the optimizer.
*/
public class Optimizer {
private ParseContext pctx;
private List transformations;
private static final Logger LOG = LoggerFactory.getLogger(Optimizer.class.getName());
/**
* Create the list of transformations.
*
* @param hiveConf
*/
public void initialize(HiveConf hiveConf) {
boolean isTezExecEngine = HiveConf.getVar(hiveConf, HiveConf.ConfVars.HIVE_EXECUTION_ENGINE).equals("tez");
boolean isSparkExecEngine = HiveConf.getVar(hiveConf, HiveConf.ConfVars.HIVE_EXECUTION_ENGINE).equals("spark");
boolean bucketMapJoinOptimizer = false;
transformations = new ArrayList();
// Add the additional postprocessing transformations needed if
// we are translating Calcite operators into Hive operators.
transformations.add(new HiveOpConverterPostProc());
// Add the transformation that computes the lineage information.
Set postExecHooks = Sets.newHashSet(
Splitter.on(",").trimResults().omitEmptyStrings().split(
Strings.nullToEmpty(HiveConf.getVar(hiveConf, HiveConf.ConfVars.POSTEXECHOOKS))));
if (postExecHooks.contains("org.apache.hadoop.hive.ql.hooks.PostExecutePrinter")
|| postExecHooks.contains("org.apache.hadoop.hive.ql.hooks.LineageLogger")
|| postExecHooks.contains("org.apache.atlas.hive.hook.HiveHook")) {
transformations.add(new Generator(postExecHooks));
}
// Try to transform OR predicates in Filter into simpler IN clauses first
if (HiveConf.getBoolVar(hiveConf, HiveConf.ConfVars.HIVEPOINTLOOKUPOPTIMIZER) &&
!pctx.getContext().isCboSucceeded()) {
final int min = HiveConf.getIntVar(hiveConf,
HiveConf.ConfVars.HIVEPOINTLOOKUPOPTIMIZERMIN);
transformations.add(new PointLookupOptimizer(min));
}
if (HiveConf.getBoolVar(hiveConf, HiveConf.ConfVars.HIVEPARTITIONCOLUMNSEPARATOR)) {
transformations.add(new PartitionColumnsSeparator());
}
if (HiveConf.getBoolVar(hiveConf, HiveConf.ConfVars.HIVEOPTPPD) &&
!pctx.getContext().isCboSucceeded()) {
transformations.add(new PredicateTransitivePropagate());
if (HiveConf.getBoolVar(hiveConf, HiveConf.ConfVars.HIVEOPTCONSTANTPROPAGATION)) {
transformations.add(new ConstantPropagate());
}
transformations.add(new SyntheticJoinPredicate());
transformations.add(new PredicatePushDown());
} else if (HiveConf.getBoolVar(hiveConf, HiveConf.ConfVars.HIVEOPTPPD) &&
pctx.getContext().isCboSucceeded()) {
transformations.add(new SyntheticJoinPredicate());
transformations.add(new SimplePredicatePushDown());
transformations.add(new RedundantDynamicPruningConditionsRemoval());
}
if (HiveConf.getBoolVar(hiveConf, HiveConf.ConfVars.HIVEOPTCONSTANTPROPAGATION) &&
!pctx.getContext().isCboSucceeded()) {
// We run constant propagation twice because after predicate pushdown, filter expressions
// are combined and may become eligible for reduction (like is not null filter).
transformations.add(new ConstantPropagate());
}
if(HiveConf.getBoolVar(hiveConf, HiveConf.ConfVars.DYNAMICPARTITIONING) &&
HiveConf.getVar(hiveConf, HiveConf.ConfVars.DYNAMICPARTITIONINGMODE).equals("nonstrict") &&
HiveConf.getBoolVar(hiveConf, HiveConf.ConfVars.HIVEOPTSORTDYNAMICPARTITION) &&
!HiveConf.getBoolVar(hiveConf, HiveConf.ConfVars.HIVEOPTLISTBUCKETING)) {
transformations.add(new SortedDynPartitionOptimizer());
}
transformations.add(new SortedDynPartitionTimeGranularityOptimizer());
if (HiveConf.getBoolVar(hiveConf, HiveConf.ConfVars.HIVEOPTPPD)) {
transformations.add(new PartitionPruner());
transformations.add(new PartitionConditionRemover());
if (HiveConf.getBoolVar(hiveConf, HiveConf.ConfVars.HIVEOPTLISTBUCKETING)) {
/* Add list bucketing pruner. */
transformations.add(new ListBucketingPruner());
}
if (HiveConf.getBoolVar(hiveConf, HiveConf.ConfVars.HIVEOPTCONSTANTPROPAGATION) &&
!pctx.getContext().isCboSucceeded()) {
// PartitionPruner may create more folding opportunities, run ConstantPropagate again.
transformations.add(new ConstantPropagate());
}
}
if (HiveConf.getBoolVar(hiveConf, HiveConf.ConfVars.HIVEOPTGROUPBY) ||
HiveConf.getBoolVar(hiveConf, HiveConf.ConfVars.HIVE_MAP_GROUPBY_SORT)) {
transformations.add(new GroupByOptimizer());
}
transformations.add(new ColumnPruner());
if (HiveConf.getBoolVar(hiveConf, HiveConf.ConfVars.HIVECOUNTDISTINCTOPTIMIZER)
&& (HiveConf.getBoolVar(hiveConf, HiveConf.ConfVars.HIVE_IN_TEST) || isTezExecEngine)) {
transformations.add(new CountDistinctRewriteProc());
}
if (HiveConf.getBoolVar(hiveConf, HiveConf.ConfVars.HIVE_OPTIMIZE_SKEWJOIN_COMPILETIME)) {
if (!isTezExecEngine) {
transformations.add(new SkewJoinOptimizer());
} else {
LOG.warn("Skew join is currently not supported in tez! Disabling the skew join optimization.");
}
}
transformations.add(new SamplePruner());
MapJoinProcessor mapJoinProcessor = isSparkExecEngine ? new SparkMapJoinProcessor()
: new MapJoinProcessor();
transformations.add(mapJoinProcessor);
if ((HiveConf.getBoolVar(hiveConf, HiveConf.ConfVars.HIVEOPTBUCKETMAPJOIN))
&& !isTezExecEngine && !isSparkExecEngine) {
transformations.add(new BucketMapJoinOptimizer());
bucketMapJoinOptimizer = true;
}
// If optimize hive.optimize.bucketmapjoin.sortedmerge is set, add both
// BucketMapJoinOptimizer and SortedMergeBucketMapJoinOptimizer
if ((HiveConf.getBoolVar(hiveConf, HiveConf.ConfVars.HIVEOPTSORTMERGEBUCKETMAPJOIN))
&& !isTezExecEngine && !isSparkExecEngine) {
if (!bucketMapJoinOptimizer) {
// No need to add BucketMapJoinOptimizer twice
transformations.add(new BucketMapJoinOptimizer());
}
transformations.add(new SortedMergeBucketMapJoinOptimizer());
}
if (HiveConf.getBoolVar(hiveConf, HiveConf.ConfVars.HIVEOPTIMIZEBUCKETINGSORTING)) {
transformations.add(new BucketingSortingReduceSinkOptimizer());
}
transformations.add(new UnionProcessor());
if (HiveConf.getBoolVar(hiveConf, HiveConf.ConfVars.NWAYJOINREORDER)) {
transformations.add(new JoinReorder());
}
if (HiveConf.getBoolVar(hiveConf,
HiveConf.ConfVars.TEZ_OPTIMIZE_BUCKET_PRUNING)
&& HiveConf.getBoolVar(hiveConf, HiveConf.ConfVars.HIVEOPTPPD)
&& HiveConf.getBoolVar(hiveConf, HiveConf.ConfVars.HIVEOPTINDEXFILTER)) {
final boolean compatMode =
HiveConf.getBoolVar(hiveConf, HiveConf.ConfVars.TEZ_OPTIMIZE_BUCKET_PRUNING_COMPAT);
transformations.add(new FixedBucketPruningOptimizer(compatMode));
}
if(HiveConf.getBoolVar(hiveConf, HiveConf.ConfVars.HIVEOPTREDUCEDEDUPLICATION) || pctx.hasAcidWrite()) {
transformations.add(new ReduceSinkDeDuplication());
}
transformations.add(new NonBlockingOpDeDupProc());
if (HiveConf.getBoolVar(hiveConf, HiveConf.ConfVars.HIVEIDENTITYPROJECTREMOVER)
&& !HiveConf.getBoolVar(hiveConf, HiveConf.ConfVars.HIVE_CBO_RETPATH_HIVEOP)) {
transformations.add(new IdentityProjectRemover());
}
if (HiveConf.getBoolVar(hiveConf, HiveConf.ConfVars.HIVELIMITOPTENABLE)) {
transformations.add(new GlobalLimitOptimizer());
}
if(HiveConf.getBoolVar(hiveConf, HiveConf.ConfVars.HIVEOPTCORRELATION) &&
!HiveConf.getBoolVar(hiveConf, HiveConf.ConfVars.HIVEGROUPBYSKEW) &&
!HiveConf.getBoolVar(hiveConf, HiveConf.ConfVars.HIVE_OPTIMIZE_SKEWJOIN_COMPILETIME) &&
!isTezExecEngine && !isSparkExecEngine) {
transformations.add(new CorrelationOptimizer());
}
if (HiveConf.getFloatVar(hiveConf, HiveConf.ConfVars.HIVELIMITPUSHDOWNMEMORYUSAGE) > 0) {
transformations.add(new LimitPushdownOptimizer());
}
if(HiveConf.getBoolVar(hiveConf, HiveConf.ConfVars.HIVEOPTIMIZEMETADATAQUERIES)) {
transformations.add(new StatsOptimizer());
}
if (pctx.getContext().isExplainSkipExecution() && !isTezExecEngine && !isSparkExecEngine) {
transformations.add(new AnnotateWithStatistics());
transformations.add(new AnnotateWithOpTraits());
}
if (!HiveConf.getVar(hiveConf, HiveConf.ConfVars.HIVEFETCHTASKCONVERSION).equals("none")) {
transformations.add(new SimpleFetchOptimizer()); // must be called last
}
if (HiveConf.getBoolVar(hiveConf, HiveConf.ConfVars.HIVEFETCHTASKAGGR)) {
transformations.add(new SimpleFetchAggregation());
}
if (HiveConf.getBoolVar(hiveConf, HiveConf.ConfVars.HIVE_OPTIMIZE_TABLE_PROPERTIES_FROM_SERDE)) {
transformations.add(new TablePropertyEnrichmentOptimizer());
}
}
/**
* Invoke all the transformations one-by-one, and alter the query plan.
*
* @return ParseContext
* @throws SemanticException
*/
public ParseContext optimize() throws SemanticException {
for (Transform t : transformations) {
t.beginPerfLogging();
pctx = t.transform(pctx);
t.endPerfLogging(t.toString());
}
return pctx;
}
/**
* @return the pctx
*/
public ParseContext getPctx() {
return pctx;
}
/**
* @param pctx
* the pctx to set
*/
public void setPctx(ParseContext pctx) {
this.pctx = pctx;
}
}
