Examples of RuleRegExp

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

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    }

    // detect correlations
    CorrelationNodeProcCtx corrCtx = new CorrelationNodeProcCtx(pCtx);
    Map<Rule, NodeProcessor> opRules = new LinkedHashMap<Rule, NodeProcessor>();
    opRules.put(new RuleRegExp("R1", ReduceSinkOperator.getOperatorName() + "%"),
        new CorrelationNodeProc());

    Dispatcher disp = new DefaultRuleDispatcher(getDefaultProc(), opRules, corrCtx);
    GraphWalker ogw = new DefaultGraphWalker(disp);
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Examples of org.apache.hadoop.hive.ql.lib.RuleRegExp

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      // create a the context for walking operators
      ParseContext parseContext = physicalContext.getParseContext();
      WalkerCtx walkerCtx = new WalkerCtx();

      Map<Rule, NodeProcessor> opRules = new LinkedHashMap<Rule, NodeProcessor>();
      opRules.put(new RuleRegExp("R1",
        TableScanOperator.getOperatorName() + "%"),
        new TableScanProcessor());
      opRules.put(new RuleRegExp("R2",
        GroupByOperator.getOperatorName() + "%.*" + FileSinkOperator.getOperatorName() + "%"),
        new FileSinkProcessor());

      // The dispatcher fires the processor corresponding to the closest
      // matching rule and passes the context along
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Examples of org.apache.hadoop.hive.ql.lib.RuleRegExp

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    // create a the context for walking operators
    SamplePrunerCtx samplePrunerCtx = new SamplePrunerCtx(pctx
        .getOpToSamplePruner());

    Map<Rule, NodeProcessor> opRules = new LinkedHashMap<Rule, NodeProcessor>();
    opRules.put(new RuleRegExp("R1", "(TS%FIL%FIL%)"), getFilterProc());

    // The dispatcher fires the processor corresponding to the closest matching
    // rule and passes the context along
    Dispatcher disp = new DefaultRuleDispatcher(getDefaultProc(), opRules,
        samplePrunerCtx);
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Examples of org.apache.hadoop.hive.ql.lib.RuleRegExp

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    // create a the context for walking operators
    OpWalkerCtx opWalkerCtx = new OpWalkerCtx(pctx.getOpToPartPruner());

    Map<Rule, NodeProcessor> opRules = new LinkedHashMap<Rule, NodeProcessor>();
    opRules.put(new RuleRegExp("R1", "(TS%FIL%)|(TS%FIL%FIL%)"), OpProcFactory
        .getFilterProc());

    // The dispatcher fires the processor corresponding to the closest matching
    // rule and passes the context along
    Dispatcher disp = new DefaultRuleDispatcher(OpProcFactory.getDefaultProc(),
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Examples of org.apache.hadoop.hive.ql.lib.RuleRegExp

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    // create a walker which walks the tree in a DFS manner while maintaining
    // the operator stack.
    // The dispatcher generates the plan from the operator tree
    Map<Rule, NodeProcessor> opRules = new LinkedHashMap<Rule, NodeProcessor>();
    opRules.put(new RuleRegExp("R0", "MAPJOIN%"), getCurrentMapJoin());
    opRules.put(new RuleRegExp("R1", "MAPJOIN%.*FS%"), getMapJoinFS());
    opRules.put(new RuleRegExp("R2", "MAPJOIN%.*RS%"), getMapJoinDefault());
    opRules.put(new RuleRegExp("R4", "MAPJOIN%.*UNION%"), getMapJoinDefault());

    // The dispatcher fires the processor corresponding to the closest matching
    // rule and passes the context along
    Dispatcher disp = new DefaultRuleDispatcher(getDefault(), opRules, new MapJoinWalkerCtx(
        listMapJoinOpsNoRed, pGraphContext));
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Examples of org.apache.hadoop.hive.ql.lib.RuleRegExp

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    // create a walker which walks the tree in a DFS manner while maintaining
    // the operator stack.
    // The dispatcher generates the plan from the operator tree
    Map<Rule, NodeProcessor> opRules = new LinkedHashMap<Rule, NodeProcessor>();
    opRules.put(new RuleRegExp(new String("R1"), "TS%"), new GenMRTableScan1());
    opRules.put(new RuleRegExp(new String("R2"), "TS%.*RS%"),
        new GenMRRedSink1());
    opRules.put(new RuleRegExp(new String("R3"), "RS%.*RS%"),
        new GenMRRedSink2());
    opRules.put(new RuleRegExp(new String("R4"), "FS%"), new GenMRFileSink1());
    opRules.put(new RuleRegExp(new String("R5"), "UNION%"), new GenMRUnion1());
    opRules.put(new RuleRegExp(new String("R6"), "UNION%.*RS%"),
        new GenMRRedSink3());
    opRules.put(new RuleRegExp(new String("R6"), "MAPJOIN%.*RS%"),
        new GenMRRedSink4());
    opRules.put(new RuleRegExp(new String("R7"), "TS%.*MAPJOIN%"),
        MapJoinFactory.getTableScanMapJoin());
    opRules.put(new RuleRegExp(new String("R8"), "RS%.*MAPJOIN%"),
        MapJoinFactory.getReduceSinkMapJoin());
    opRules.put(new RuleRegExp(new String("R9"), "UNION%.*MAPJOIN%"),
        MapJoinFactory.getUnionMapJoin());
    opRules.put(new RuleRegExp(new String("R10"), "MAPJOIN%.*MAPJOIN%"),
        MapJoinFactory.getMapJoinMapJoin());
    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,
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Examples of org.apache.hadoop.hive.ql.lib.RuleRegExp

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      return null;
    }

    // We set the pushed predicate from the WHERE clause as the filter expr on
    // all table scan operators, so we look for table scan operators(TS%)
    operatorRules.put(new RuleRegExp("RULEWhere", "TS%"), new IndexWhereProcessor(indexes));

    return operatorRules;
  }
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Examples of org.apache.hadoop.hive.ql.lib.RuleRegExp

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    // create a walker which walks the tree in a DFS manner while maintaining
    // the operator stack. The dispatcher
    // generates the plan from the operator tree
    Map<Rule, NodeProcessor> opRules = new LinkedHashMap<Rule, NodeProcessor>();

    opRules.put(new RuleRegExp("R1", HiveParser.TOK_NULL + "%"),
        getNullExprProcessor());
    opRules.put(new RuleRegExp("R2", HiveParser.Number + "%"),
        getNumExprProcessor());
    opRules
        .put(new RuleRegExp("R3", HiveParser.Identifier + "%|"
        + HiveParser.StringLiteral + "%|" + HiveParser.TOK_CHARSETLITERAL
        + "%|" + HiveParser.KW_IF + "%|" + HiveParser.KW_CASE + "%|"
        + HiveParser.KW_WHEN + "%|" + HiveParser.KW_IN + "%|"
        + HiveParser.KW_ARRAY + "%|" + HiveParser.KW_MAP + "%|"
        + HiveParser.KW_STRUCT + "%"),
        getStrExprProcessor());
    opRules.put(new RuleRegExp("R4", HiveParser.KW_TRUE + "%|"
        + HiveParser.KW_FALSE + "%"), getBoolExprProcessor());
    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(),
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Examples of org.apache.hadoop.hive.ql.lib.RuleRegExp

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    // create a walker which walks the tree in a DFS manner while maintaining
    // the operator stack. The dispatcher
    // generates the plan from the operator tree
    Map<Rule, NodeProcessor> exprRules = new LinkedHashMap<Rule, NodeProcessor>();
    exprRules.put(
        new RuleRegExp("R1", ExprNodeColumnDesc.class.getName() + "%"),
        getColumnProcessor());
    exprRules.put(
        new RuleRegExp("R2", ExprNodeFieldDesc.class.getName() + "%"),
        getFieldProcessor());
    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(),
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Examples of org.apache.hadoop.hive.ql.lib.RuleRegExp

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    // operator stack. The dispatcher generates the plan from the operator tree
    Map<Rule, NodeProcessor> opRules = new LinkedHashMap<Rule, NodeProcessor>();

    String FS = FileSinkOperator.getOperatorName() + "%";

    opRules.put(new RuleRegExp("Sorted Dynamic Partition", FS), getSortDynPartProc(pCtx));

    Dispatcher disp = new DefaultRuleDispatcher(null, opRules, null);
    GraphWalker ogw = new PreOrderWalker(disp);

    ArrayList<Node> topNodes = new ArrayList<Node>();
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