Package org.apache.hadoop.hive.ql.optimizer

Source Code of org.apache.hadoop.hive.ql.optimizer.Optimizer

/**
* 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;

import java.util.ArrayList;
import java.util.List;

import org.apache.commons.logging.Log;
import org.apache.commons.logging.LogFactory;
import org.apache.hadoop.hive.conf.HiveConf;
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.index.RewriteGBUsingIndex;
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.SyntheticJoinPredicate;

/**
* Implementation of the optimizer.
*/
public class Optimizer {
  private ParseContext pctx;
  private List<Transform> transformations;
  private static final Log LOG = LogFactory.getLog(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 bucketMapJoinOptimizer = false;

    transformations = new ArrayList<Transform>();

    // Add the transformation that computes the lineage information.
    transformations.add(new Generator());
    if (HiveConf.getBoolVar(hiveConf, HiveConf.ConfVars.HIVEOPTPPD)) {
    transformations.add(new PredicateTransitivePropagate());
    if (HiveConf.getBoolVar(hiveConf, HiveConf.ConfVars.HIVEOPTCONSTANTPROPAGATION)) {
      transformations.add(new ConstantPropagate());
    }
      transformations.add(new SyntheticJoinPredicate());
      transformations.add(new PredicatePushDown());
    }
    if (HiveConf.getBoolVar(hiveConf, HiveConf.ConfVars.HIVEOPTCONSTANTPROPAGATION)) {
      // 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.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.HIVEOPTGROUPBY) ||
        HiveConf.getBoolVar(hiveConf, HiveConf.ConfVars.HIVE_MAP_GROUPBY_SORT)) {
      transformations.add(new GroupByOptimizer());
    }
    transformations.add(new ColumnPruner());
    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.");
      }
    }
    if (HiveConf.getBoolVar(hiveConf, HiveConf.ConfVars.HIVEOPTGBYUSINGINDEX)) {
      transformations.add(new RewriteGBUsingIndex());
    }
    transformations.add(new SamplePruner());
    transformations.add(new MapJoinProcessor());

    if ((HiveConf.getBoolVar(hiveConf, HiveConf.ConfVars.HIVEOPTBUCKETMAPJOIN)) && !isTezExecEngine) {
      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) {
      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());
    transformations.add(new JoinReorder());
    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());
    }
    if(HiveConf.getBoolVar(hiveConf, HiveConf.ConfVars.HIVEOPTREDUCEDEDUPLICATION)) {
      transformations.add(new ReduceSinkDeDuplication());
    }
    transformations.add(new NonBlockingOpDeDupProc());
    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) {
      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().getExplain() && !isTezExecEngine) {
      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());
    }
  }

  /**
   * 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) {
        pctx = t.transform(pctx);
    }
    return pctx;
  }

  /**
   * @return the pctx
   */
  public ParseContext getPctx() {
    return pctx;
  }

  /**
   * @param pctx
   *          the pctx to set
   */
  public void setPctx(ParseContext pctx) {
    this.pctx = pctx;
  }

}
TOP

Related Classes of org.apache.hadoop.hive.ql.optimizer.Optimizer

TOP
Copyright © 2018 www.massapi.com. All rights reserved.
All source code are property of their respective owners. Java is a trademark of Sun Microsystems, Inc and owned by ORACLE Inc. Contact coftware#gmail.com.