Examples with SemanticRule org.apache.hadoop.hive.ql.lib.SemanticRule used on opensource projects

Example 16 with SemanticRule

use of org.apache.hadoop.hive.ql.lib.SemanticRule in project hive by apache.

the class PointLookupOptimizer method transform.

@Override
public ParseContext transform(ParseContext pctx) throws SemanticException {
    // 1. Trigger transformation
    Map<SemanticRule, SemanticNodeProcessor> opRules = new LinkedHashMap<SemanticRule, SemanticNodeProcessor>();
    opRules.put(new RuleRegExp("R1", FilterOperator.getOperatorName() + "%"), new FilterTransformer());
    SemanticDispatcher disp = new DefaultRuleDispatcher(null, opRules, null);
    SemanticGraphWalker ogw = new ForwardWalker(disp);
    List<Node> topNodes = new ArrayList<Node>();
    topNodes.addAll(pctx.getTopOps().values());
    ogw.startWalking(topNodes, null);
    return pctx;
}

Example 17 with SemanticRule

use of org.apache.hadoop.hive.ql.lib.SemanticRule in project hive by apache.

the class SamplePruner method transform.

/*
   * (non-Javadoc)
   *
   * @see
   * org.apache.hadoop.hive.ql.optimizer.Transform#transform(org.apache.hadoop
   * .hive.ql.parse.ParseContext)
   */
@Override
public ParseContext transform(ParseContext pctx) throws SemanticException {
    // create a the context for walking operators
    SamplePrunerCtx samplePrunerCtx = new SamplePrunerCtx(pctx.getOpToSamplePruner());
    Map<SemanticRule, SemanticNodeProcessor> opRules = new LinkedHashMap<SemanticRule, SemanticNodeProcessor>();
    opRules.put(new RuleRegExp("R1", "(" + TableScanOperator.getOperatorName() + "%" + FilterOperator.getOperatorName() + "%" + FilterOperator.getOperatorName() + "%|" + TableScanOperator.getOperatorName() + "%" + FilterOperator.getOperatorName() + "%)"), getFilterProc());
    // The dispatcher fires the processor corresponding to the closest matching
    // rule and passes the context along
    SemanticDispatcher disp = new DefaultRuleDispatcher(getDefaultProc(), opRules, samplePrunerCtx);
    SemanticGraphWalker ogw = new DefaultGraphWalker(disp);
    // Create a list of topop nodes
    ArrayList<Node> topNodes = new ArrayList<Node>();
    topNodes.addAll(pctx.getTopOps().values());
    ogw.startWalking(topNodes, null);
    return pctx;
}

Example 18 with SemanticRule

use of org.apache.hadoop.hive.ql.lib.SemanticRule in project hive by apache.

the class StatsOptimizer method transform.

@Override
public ParseContext transform(ParseContext pctx) throws SemanticException {
    if (pctx.getFetchTask() != null || !pctx.getQueryProperties().isQuery() || pctx.getQueryProperties().isAnalyzeRewrite() || pctx.getQueryProperties().isCTAS() || pctx.getLoadFileWork().size() > 1 || !pctx.getLoadTableWork().isEmpty() || // tables is being sampled and we can not optimize.
    !pctx.getNameToSplitSample().isEmpty()) {
        return pctx;
    }
    String TS = TableScanOperator.getOperatorName() + "%";
    String GBY = GroupByOperator.getOperatorName() + "%";
    String RS = ReduceSinkOperator.getOperatorName() + "%";
    String SEL = SelectOperator.getOperatorName() + "%";
    String FS = FileSinkOperator.getOperatorName() + "%";
    Map<SemanticRule, SemanticNodeProcessor> opRules = new LinkedHashMap<SemanticRule, SemanticNodeProcessor>();
    opRules.put(new RuleRegExp("R1", TS + SEL + GBY + RS + GBY + SEL + FS), new MetaDataProcessor(pctx));
    opRules.put(new RuleRegExp("R2", TS + SEL + GBY + RS + GBY + FS), new MetaDataProcessor(pctx));
    NodeProcessorCtx soProcCtx = new StatsOptimizerProcContext();
    SemanticDispatcher disp = new DefaultRuleDispatcher(null, opRules, soProcCtx);
    SemanticGraphWalker ogw = new DefaultGraphWalker(disp);
    ArrayList<Node> topNodes = new ArrayList<Node>();
    topNodes.addAll(pctx.getTopOps().values());
    ogw.startWalking(topNodes, null);
    return pctx;
}

Example 19 with SemanticRule

use of org.apache.hadoop.hive.ql.lib.SemanticRule in project hive by apache.

the class SkewJoinOptimizer method transform.

/* (non-Javadoc)
   * @see org.apache.hadoop.hive.ql.optimizer.Transform#transform
   * (org.apache.hadoop.hive.ql.parse.ParseContext)
   */
@Override
public ParseContext transform(ParseContext pctx) throws SemanticException {
    Map<SemanticRule, SemanticNodeProcessor> opRules = new LinkedHashMap<SemanticRule, SemanticNodeProcessor>();
    opRules.put(new RuleRegExp("R1", "TS%.*RS%JOIN%"), getSkewJoinProc(pctx));
    SkewJoinOptProcCtx skewJoinOptProcCtx = new SkewJoinOptProcCtx(pctx);
    // The dispatcher fires the processor corresponding to the closest matching
    // rule and passes the context along
    SemanticDispatcher disp = new DefaultRuleDispatcher(null, opRules, skewJoinOptProcCtx);
    SemanticGraphWalker ogw = new DefaultGraphWalker(disp);
    // Create a list of topop nodes
    List<Node> topNodes = new ArrayList<Node>();
    topNodes.addAll(pctx.getTopOps().values());
    ogw.startWalking(topNodes, null);
    return pctx;
}

Example 20 with SemanticRule

use of org.apache.hadoop.hive.ql.lib.SemanticRule in project hive by apache.

the class SortedMergeBucketMapJoinOptimizer method getListOfRejectedJoins.

private void getListOfRejectedJoins(ParseContext pctx, SortBucketJoinProcCtx smbJoinContext) throws SemanticException {
    // Go through all joins - it should only contain selects and filters between
    // tablescan and join operators.
    Map<SemanticRule, SemanticNodeProcessor> opRules = new LinkedHashMap<SemanticRule, SemanticNodeProcessor>();
    opRules.put(new RuleRegExp("R1", JoinOperator.getOperatorName() + "%"), getCheckCandidateJoin());
    // The dispatcher fires the processor corresponding to the closest matching
    // rule and passes the context along
    SemanticDispatcher disp = new DefaultRuleDispatcher(getDefaultProc(), opRules, smbJoinContext);
    SemanticGraphWalker ogw = new DefaultGraphWalker(disp);
    // Create a list of topop nodes
    ArrayList<Node> topNodes = new ArrayList<Node>();
    topNodes.addAll(pctx.getTopOps().values());
    ogw.startWalking(topNodes, null);
}