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

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

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    opRules.put(new RuleRegExp("R7", "UDTF%"), OpProcFactory.getUDTFProc());
    opRules.put(new RuleRegExp("R8", "LVF%"), OpProcFactory.getLVFProc());

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

    List<Node> startNodes = new ArrayList<Node>();
    List<ExprNodeDesc> clonedPreds = new ArrayList<ExprNodeDesc>();
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    opRules.put(new RuleRegExp("R1", "GBY%RS%GBY%"),
        getMapAggreSortedGroupbyProc(pctx));

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

    // Create a list of topop nodes
    ArrayList<Node> topNodes = new ArrayList<Node>();
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      List<Operator<? extends Serializable>> childOps = mapJoinOp.getChildOperators();
      Map<Rule, NodeProcessor> opRules = new LinkedHashMap<Rule, NodeProcessor>();
      opRules.put(new RuleRegExp("R1", "GBY%"), LocalMapJoinProcFactory.getGroupByProc());
      // The dispatcher fires the processor corresponding to the closest
      // matching rule and passes the context along
      Dispatcher disp = new DefaultRuleDispatcher(LocalMapJoinProcFactory.getDefaultProc(),
          opRules, localMapJoinProcCtx);
      GraphWalker ogw = new DefaultGraphWalker(disp);
      // iterator the reducer operator tree
      ArrayList<Node> topNodes = new ArrayList<Node>();
      topNodes.addAll(childOps);
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      opRules.put(new RuleRegExp("R1", "TS%"), new TableScanProcessor());
      opRules.put(new RuleRegExp("R2", "GBY%.*FS%"), new FileSinkProcessor());

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

      // Create a list of topOp nodes
      ArrayList<Node> topNodes = new ArrayList<Node>();
      // Get the top Nodes for this map-reduce task
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      opRules.put(new RuleRegExp("R1", "JOIN%"), SkewJoinProcFactory
          .getJoinProc());

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

      // iterator the reducer operator tree
      ArrayList<Node> topNodes = new ArrayList<Node>();
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          .getParseContext());
      Map<Rule, NodeProcessor> opRules = new LinkedHashMap<Rule, NodeProcessor>();
      opRules.put(new RuleRegExp("R1", "MAPJOIN%"), LocalMapJoinProcFactory.getJoinProc());
      // The dispatcher fires the processor corresponding to the closest
      // matching rule and passes the context along
      Dispatcher disp = new DefaultRuleDispatcher(LocalMapJoinProcFactory.getDefaultProc(),
          opRules, localMapJoinProcCtx);
      GraphWalker ogw = new DefaultGraphWalker(disp);
      // iterator the reducer operator tree
      ArrayList<Node> topNodes = new ArrayList<Node>();
      topNodes.addAll(task.getWork().getAliasToWork().values());
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    // join.
    opRules.put(new RuleRegExp("R1", "MAPJOIN%"),
        getSortedMergeBucketMapjoinProc(pctx));
    // The dispatcher fires the processor corresponding to the closest matching
    // rule and passes the context along
    Dispatcher disp = new DefaultRuleDispatcher(getDefaultProc(), opRules, null);
    GraphWalker ogw = new DefaultGraphWalker(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(new String("R11"), "MAPJOIN%SEL%"),
        MapJoinFactory.getMapJoin());

    // The dispatcher fires the processor corresponding to the closest matching
    // rule and passes the context along
    Dispatcher disp = new DefaultRuleDispatcher(new GenMROperator(), opRules,
        procCtx);

    GraphWalker ogw = new GenMapRedWalker(disp);
    ArrayList<Node> topNodes = new ArrayList<Node>();
    topNodes.addAll(topOps.values());
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    opRules.put(new RuleRegExp("R5", HiveParser.TOK_TABLE_OR_COL + "%"),
        getColumnExprProcessor());

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

    // Create a list of topop nodes
    ArrayList<Node> topNodes = new ArrayList<Node>();
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