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

Examples of org.apache.pig.backend.hadoop.executionengine.physicalLayer.plans.PhysicalPlan.connect()

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        php.add(lr1);
        php.add(lr21);
        php.add(lr22);
        php.connect(fl11, lr1);
        php.connect(fl21, lr21);
        php.connect(fl22, lr22);

        POGlobalRearrange gr = GenPhyOp.topGlobalRearrangeOp();
        php.addAsLeaf(gr);

        POPackage pk = GenPhyOp.topPackageOp();
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        fl3.setRequestedParallelism(100);
        POFilter fl4 = GenPhyOp.topFilterOp();
        fl4.setRequestedParallelism(80);
        php.add(fl3);
        php.add(fl4);
        php.connect(sp2, fl3);
        php.connect(sp2, fl4);

        POUnion un = GenPhyOp.topUnionOp();
        php.addAsLeaf(un);
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        POFilter fl4 = GenPhyOp.topFilterOp();
        fl4.setRequestedParallelism(80);
        php.add(fl3);
        php.add(fl4);
        php.connect(sp2, fl3);
        php.connect(sp2, fl4);

        POUnion un = GenPhyOp.topUnionOp();
        php.addAsLeaf(un);

        POStore st = GenPhyOp.topStoreOp();
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        POProject prjStar2 = new POProject(new OperatorKey("", r.nextLong()));
        prjStar2.setResultType(DataType.TUPLE);
        prjStar2.setStar(true);
        nesSortPlan.add(prjStar2);
       
        nesSortPlan.connect(topPrj, prjStar2);
        List<PhysicalPlan> nesSortPlanLst = new ArrayList<PhysicalPlan>();
        nesSortPlanLst.add(nesSortPlan);
       
        sort.setSortPlans(nesSortPlanLst);
       
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        POLimit op = new POLimit(new OperatorKey("", r.nextLong()),
                -1, null);

        php.add(op);
        php.connect(lC, op);

        POStore st = GenPhyOp.topStoreOp();
        php.addAsLeaf(st);
        run(php, "test/org/apache/pig/test/data/GoldenFiles/MRC17.gld");
    }
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      POUserFunc uf = new POUserFunc(new OperatorKey(scope,nig.getNextNodeId(scope)), -1, ufInps,
                  new FuncSpec(GetMemNumRows.class.getName(), (String[])null));
      uf.setResultType(DataType.TUPLE);
      ep.add(uf);    
      ep.add(prjStar);
      ep.connect(prjStar, uf);

        transformPlans.add(ep);     
       
      try{       
        // pass configurations to the User Function
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        ufInps.add(prjStar4);
     
        POUserFunc uf = new POUserFunc(new OperatorKey(scope,nig.getNextNodeId(scope)), -1, ufInps,
            new FuncSpec(udfClassName, udfArgs));
        ep4.add(uf);
        ep4.connect(prjStar4, uf);
       
        List<PhysicalPlan> ep4s = new ArrayList<PhysicalPlan>();
        ep4s.add(ep4);
        List<Boolean> flattened3 = new ArrayList<Boolean>();
        flattened3.add(false);
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        PhysicalPlan pp = new PhysicalPlan();
        pp.add(proj);
        pp.add(st);
        pp.add(pcount);
        //pp.connect(proj, st);
        pp.connect(proj, pcount);
        pp.connect(pcount, st);
        pc.setExecType(ExecType.LOCAL);
        return new MapReduceLauncher().launchPig(pp, "TestStore", pc);
    }
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        pp.add(proj);
        pp.add(st);
        pp.add(pcount);
        //pp.connect(proj, st);
        pp.connect(proj, pcount);
        pp.connect(pcount, st);
        pc.setExecType(ExecType.LOCAL);
        return new MapReduceLauncher().launchPig(pp, "TestStore", pc);
    }

    @Test
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    op.setFuncSpec(new FuncSpec(load.getClass().getName()));
    POProject prj = new POProject(new OperatorKey("", r.nextLong()), -1, 0);
    PhysicalPlan plan = new PhysicalPlan();
    plan.add(prj);
    plan.add(op);
    plan.connect(prj, op);
   
    prj.setResultType(DataType.DOUBLE);
   
    // Plan to test when result type is ByteArray and casting is requested
    // for example casting of values coming out of map lookup.
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