Package org.apache.hadoop.hive.ql.lib

Examples of org.apache.hadoop.hive.ql.lib.DefaultRuleDispatcher

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        JoinOperator.getOperatorName() + "%)"), new JoinTransitive());

    // The dispatcher fires the processor corresponding to the closest matching
    // rule and passes the context along
    TransitiveContext context = new TransitiveContext();
    Dispatcher disp = new DefaultRuleDispatcher(null, opRules, context);
    GraphWalker ogw = new PreOrderWalker(disp);

    // Create a list of topop nodes
    List<Node> topNodes = new ArrayList<Node>();
    topNodes.addAll(pGraphContext.getTopOps().values());
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    exprRules.put(new RuleRegExp("R3", ExprNodeGenericFuncDesc.class.getName()
        + "%"), getGenericFuncProcessor());

    // The dispatcher fires the processor corresponding to the closest matching
    // rule and passes the context along
    Dispatcher disp = new DefaultRuleDispatcher(getDefaultExprProcessor(),
        exprRules, exprContext);
    GraphWalker egw = new DefaultGraphWalker(disp);

    List<Node> startNodes = new ArrayList<Node>();
    List<ExprNodeDesc> clonedPreds = new ArrayList<ExprNodeDesc>();
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    List<String> analyze(BaseWork work) throws SemanticException {
      Map<Rule, NodeProcessor> opRules = new LinkedHashMap<Rule, NodeProcessor>();
      opRules.put(new RuleRegExp("R1", MapJoinOperator.getOperatorName()
          + "%"), this);
      Dispatcher disp = new DefaultRuleDispatcher(new NoopProcessor(), opRules, this);
      GraphWalker ogw = new DefaultGraphWalker(disp);
      ArrayList<Node> topNodes = new ArrayList<Node>();
      topNodes.addAll(work.getAllRootOperators());
      ogw.startWalking(topNodes, null);
      return warnings;
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    opRules.put(new RuleRegExp("LIM", LimitOperator.getOperatorName() + "%"),
        StatsRulesProcFactory.getLimitRule());

    // The dispatcher fires the processor corresponding to the closest matching
    // rule and passes the context along
    Dispatcher disp = new DefaultRuleDispatcher(StatsRulesProcFactory.getDefaultRule(), opRules,
        aspCtx);
    GraphWalker ogw = new PreOrderWalker(disp);

    // Create a list of topop nodes
    ArrayList<Node> topNodes = new ArrayList<Node>();
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    Map<Integer, Info> analyze(BaseWork work) throws SemanticException {
      Map<Rule, NodeProcessor> opRules = new LinkedHashMap<Rule, NodeProcessor>();
      opRules.put(new RuleRegExp("R1", ReduceSinkOperator.getOperatorName()
          + "%"), this);
      Dispatcher disp = new DefaultRuleDispatcher(new NoopProcessor(), opRules, this);
      GraphWalker ogw = new DefaultGraphWalker(disp);
      ArrayList<Node> topNodes = new ArrayList<Node>();
      topNodes.addAll(work.getAllRootOperators());
      ogw.startWalking(topNodes, null);
      return reduceSinkInfo;
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          GroupByOperator.getOperatorName() + "%"),
          BucketingSortingOpProcFactory.getMultiGroupByProc());

      // The dispatcher fires the processor corresponding to the closest matching rule and passes
      // the context along
      Dispatcher disp = new DefaultRuleDispatcher(BucketingSortingOpProcFactory.getDefaultProc(),
          opRules, bCtx);
      GraphWalker ogw = new PreOrderWalker(disp);

      // Create a list of topop nodes
      ArrayList<Node> topNodes = new ArrayList<Node>();
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      OpProcFactory.getLateralViewJoinProc());
    opRules.put(new RuleRegExp("R10", PTFOperator.getOperatorName() + "%"),
        OpProcFactory.getTransformProc());

    // The dispatcher fires the processor corresponding to the closest matching rule and passes the context along
    Dispatcher disp = new DefaultRuleDispatcher(OpProcFactory.getDefaultProc(), opRules, lCtx);
    GraphWalker ogw = new PreOrderWalker(disp);

    // Create a list of topop nodes
    ArrayList<Node> topNodes = new ArrayList<Node>();
    topNodes.addAll(pctx.getTopOps().values());
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    opRules.put(new RuleRegExp("R10",
        PTFOperator.getOperatorName() + "%"),
        ColumnPrunerProcFactory.getPTFProc());
    // The dispatcher fires the processor corresponding to the closest matching
    // rule and passes the context along
    Dispatcher disp = new DefaultRuleDispatcher(ColumnPrunerProcFactory
        .getDefaultProc(), opRules, cppCtx);
    GraphWalker ogw = new ColumnPrunerWalker(disp);

    // Create a list of topop nodes
    ArrayList<Node> topNodes = new ArrayList<Node>();
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    exprRules.put(new RuleRegExp("R3", ExprNodeGenericFuncDesc.class.getName()
        + "%"), getGenericFuncProcessor());

    // The dispatcher fires the processor corresponding to the closest matching
    // rule and passes the context along
    Dispatcher disp = new DefaultRuleDispatcher(getDefaultExprProcessor(),
        exprRules, exprCtx);
    GraphWalker egw = new DefaultGraphWalker(disp);

    List<Node> startNodes = new ArrayList<Node>();
    startNodes.add(expr);
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    }

    // The dispatcher fires the processor corresponding to the closest matching
    // rule and passes the context along
    Dispatcher disp =
        new DefaultRuleDispatcher(getDefaultProc(), opRules,
            new GroupByOptimizerContext(conf));
    GraphWalker ogw = new DefaultGraphWalker(disp);

    // Create a list of topop nodes
    List<Node> topNodes = new ArrayList<Node>();
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  • org.apache.hadoop.hive.ql.index.IndexPredicateAnalyzer
  • org.apache.hadoop.hive.ql.optimizer.BucketingSortingReduceSinkOptimizer
  • org.apache.hadoop.hive.ql.optimizer.BucketMapJoinOptimizer
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  • org.apache.hadoop.hive.ql.optimizer.ConstantPropagate
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