Examples of ConvertJoinMapJoin

org.apache.hadoop.hive.ql.optimizer.ConvertJoinMapJoin
ConvertJoinMapJoin is an optimization that replaces a common join (aka shuffle join) with a map join (aka broadcast or fragment replicate join when possible. Map joins have restrictions on which joins can be converted (e.g.: full outer joins cannot be handled as map joins) as well as memory restrictions (one side of the join has to fit into memory).

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

    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
    // rule and passes the context along
    Dispatcher disp = new DefaultRuleDispatcher(null, opRules, procCtx);
    List<Node> topNodes = new ArrayList<Node>();

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

    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(
        new RuleRegExp("Remove dynamic pruning by size",
        AppMasterEventOperator.getOperatorName() + "%"),
        new RemoveDynamicPruningBySize());

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

    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
    // rule and passes the context along
    Dispatcher disp = new DefaultRuleDispatcher(null, opRules, procCtx);
    List<Node> topNodes = new ArrayList<Node>();

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