Examples of SetReducerParallelism

org.apache.hadoop.hive.ql.optimizer.SetReducerParallelism
SetReducerParallelism determines how many reducers should be run for a given reduce sink.

Examples of org.apache.hadoop.hive.ql.optimizer.SetReducerParallelism

    // create a walker which walks the tree in a DFS manner while maintaining
    // the operator stack.
    Map<Rule, NodeProcessor> opRules = new LinkedHashMap<Rule, NodeProcessor>();
    opRules.put(new RuleRegExp(new String("Set parallelism - ReduceSink"),
        ReduceSinkOperator.getOperatorName() + "%"),
        new SetReducerParallelism());


    opRules.put(new RuleRegExp(new String("Convert Join to Map-join"),
        JoinOperator.getOperatorName() + "%"), new ConvertJoinMapJoin());


    // The dispatcher fires the processor corresponding to the closest matching

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Examples of org.apache.hadoop.hive.ql.optimizer.SetReducerParallelism

    // create a walker which walks the tree in a DFS manner while maintaining
    // the operator stack.
    Map<Rule, NodeProcessor> opRules = new LinkedHashMap<Rule, NodeProcessor>();
    opRules.put(new RuleRegExp("Set parallelism - ReduceSink",
        ReduceSinkOperator.getOperatorName() + "%"),
        new SetReducerParallelism());


    opRules.put(new RuleRegExp("Convert Join to Map-join",
        JoinOperator.getOperatorName() + "%"), new ConvertJoinMapJoin());


    opRules.put(

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Examples of org.apache.hadoop.hive.ql.optimizer.SetReducerParallelism

    // create a walker which walks the tree in a DFS manner while maintaining
    // the operator stack.
    Map<Rule, NodeProcessor> opRules = new LinkedHashMap<Rule, NodeProcessor>();
    opRules.put(new RuleRegExp(new String("Set parallelism - ReduceSink"),
        ReduceSinkOperator.getOperatorName() + "%"),
        new SetReducerParallelism());


    opRules.put(new RuleRegExp(new String("Convert Join to Map-join"),
        JoinOperator.getOperatorName() + "%"), new ConvertJoinMapJoin());


    // The dispatcher fires the processor corresponding to the closest matching

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