Package org.apache.pig.backend.hadoop.executionengine.physicalLayer.relationalOperators

Examples of org.apache.pig.backend.hadoop.executionengine.physicalLayer.relationalOperators.POGlobalRearrange.visit()


     
      // create POGlobalRearrange
      POGlobalRearrange gr = new POGlobalRearrange(new OperatorKey(scope,nig.getNextNodeId(scope)), rp);
      // Skewed join has its own special partitioner
      gr.setResultType(DataType.TUPLE);
      gr.visit(this);
      if(gr.getRequestedParallelism() > curMROp.requestedParallelism)
        curMROp.requestedParallelism = gr.getRequestedParallelism();
      compiledInputs = new MapReduceOper[] {curMROp};
     
      // create POPakcage
View Full Code Here


            
     
      // create POGlobalRearrange
      POGlobalRearrange gr = new POGlobalRearrange(new OperatorKey(scope,nig.getNextNodeId(scope)), rp);                         
      gr.setResultType(DataType.TUPLE);
      gr.visit(this);
      if(gr.getRequestedParallelism() > curMROp.requestedParallelism)
        curMROp.requestedParallelism = gr.getRequestedParallelism();
      compiledInputs = new MapReduceOper[] {curMROp};
     
      // create POPakcage
View Full Code Here

     
      // create POGlobalRearrange
      POGlobalRearrange gr = new POGlobalRearrange(new OperatorKey(scope,nig.getNextNodeId(scope)), rp);
      // Skewed join has its own special partitioner
      gr.setResultType(DataType.TUPLE);
      gr.visit(this);
      if(gr.getRequestedParallelism() > curMROp.requestedParallelism)
        curMROp.requestedParallelism = gr.getRequestedParallelism();
      compiledInputs = new MapReduceOper[] {curMROp};
     
      // create POPakcage
View Full Code Here

     
      // create POGlobalRearrange
      POGlobalRearrange gr = new POGlobalRearrange(new OperatorKey(scope,nig.getNextNodeId(scope)), rp);
      // Skewed join has its own special partitioner
      gr.setResultType(DataType.TUPLE);
      gr.visit(this);
      if(gr.getRequestedParallelism() > curMROp.requestedParallelism)
        curMROp.requestedParallelism = gr.getRequestedParallelism();
      compiledInputs = new MapReduceOper[] {curMROp};
     
      // create POPakcage
View Full Code Here

            
     
      // create POGlobalRearrange
      POGlobalRearrange gr = new POGlobalRearrange(new OperatorKey(scope,nig.getNextNodeId(scope)), rp);                         
      gr.setResultType(DataType.TUPLE);
      gr.visit(this);
      if(gr.getRequestedParallelism() > curMROp.requestedParallelism)
        curMROp.requestedParallelism = gr.getRequestedParallelism();
      compiledInputs = new MapReduceOper[] {curMROp};
     
      // create POPakcage
View Full Code Here

            
     
      // create POGlobalRearrange
      POGlobalRearrange gr = new POGlobalRearrange(new OperatorKey(scope,nig.getNextNodeId(scope)), rp);                         
      gr.setResultType(DataType.TUPLE);
      gr.visit(this);
      if(gr.getRequestedParallelism() > curMROp.requestedParallelism)
        curMROp.requestedParallelism = gr.getRequestedParallelism();
      compiledInputs = new MapReduceOper[] {curMROp};
     
      // create POPakcage
View Full Code Here

            // create POGlobalRearrange
            POGlobalRearrange gr = new POGlobalRearrange(new OperatorKey(scope,nig.getNextNodeId(scope)), rp);
            // Skewed join has its own special partitioner
            gr.setResultType(DataType.TUPLE);
            gr.visit(this);
            if(gr.getRequestedParallelism() > curMROp.requestedParallelism)
                curMROp.requestedParallelism = gr.getRequestedParallelism();
            compiledInputs = new MapReduceOper[] {curMROp};

            // create POPakcage
View Full Code Here

     
      // create POGlobalRearrange
      POGlobalRearrange gr = new POGlobalRearrange(new OperatorKey(scope,nig.getNextNodeId(scope)), rp);
      // Skewed join has its own special partitioner
      gr.setResultType(DataType.TUPLE);
      gr.visit(this);
      if(gr.getRequestedParallelism() > curMROp.requestedParallelism)
        curMROp.requestedParallelism = gr.getRequestedParallelism();
      compiledInputs = new MapReduceOper[] {curMROp};
     
      // create POPakcage
View Full Code Here

            // Create POGlobalRearrange
            POGlobalRearrange gr =
                    new POGlobalRearrange(OperatorKey.genOpKey(scope), rp);
            // Skewed join has its own special partitioner
            gr.setResultType(DataType.TUPLE);
            gr.visit(this);
            joinJobs[2] = curTezOp;
            joinJobs[2].setRequestedParallelism(rp);

            compiledInputs = new TezOperator[] {joinJobs[2]};
View Full Code Here

     
      // create POGlobalRearrange
      POGlobalRearrange gr = new POGlobalRearrange(new OperatorKey(scope,nig.getNextNodeId(scope)), rp);
      // Skewed join has its own special partitioner
      gr.setResultType(DataType.TUPLE);
      gr.visit(this);
      if(gr.getRequestedParallelism() > curMROp.requestedParallelism)
        curMROp.requestedParallelism = gr.getRequestedParallelism();
      compiledInputs = new MapReduceOper[] {curMROp};
     
      // create POPakcage
View Full Code Here

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