use of org.apache.hadoop.hive.ql.optimizer.listbucketingpruner.ListBucketingPruner in project hive by apache.
the class Optimizer method initialize.
/**
* 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<Transform>();
// 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<String> 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());
}
// 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.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());
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;
}
// 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) {
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")) {
// must be called last
transformations.add(new SimpleFetchOptimizer());
}
if (HiveConf.getBoolVar(hiveConf, HiveConf.ConfVars.HIVEFETCHTASKAGGR)) {
transformations.add(new SimpleFetchAggregation());
}
if (pctx.getContext().getExplainConfig() != null && pctx.getContext().getExplainConfig().isFormatted()) {
transformations.add(new AnnotateReduceSinkOutputOperator());
}
}
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