Examples of MROperPlan

Examples of org.apache.pig.backend.hadoop.executionengine.mapReduceLayer.plans.MROperPlan

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            PigContext pc) throws PlanException, IOException, VisitorException {
        MRCompiler comp = new MRCompiler(php, pc);
        comp.randomizeFileLocalizer();
        comp.compile();
        comp.aggregateScalarsFiles();
        MROperPlan plan = comp.getMRPlan();
       
        //display the warning message(s) from the MRCompiler
        comp.getMessageCollector().logMessages(MessageType.Warning, aggregateWarning, log);
       
        String lastInputChunkSize =
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Examples of org.apache.pig.backend.hadoop.executionengine.mapReduceLayer.plans.MROperPlan

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            PigContext pigContext) throws MRCompilerException {
        super(plan, new DepthFirstWalker<PhysicalOperator, PhysicalPlan>(plan));
        this.plan = plan;
        this.pigContext = pigContext;
        splitsSeen = new HashMap<OperatorKey, MapReduceOper>();
        MRPlan = new MROperPlan();
        nig = NodeIdGenerator.getGenerator();
        r = new Random(1331);
        FileLocalizer.setR(r);
        udfFinder = new UDFFinder();
        List<PhysicalOperator> roots = plan.getRoots();
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Examples of org.apache.pig.backend.hadoop.executionengine.mapReduceLayer.plans.MROperPlan

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            assertTrue(phyOp instanceof POForEach);
            assertEquals(1,phyOp.getInputs().size());
            assertTrue(phyOp.getInputs().get(0) instanceof POMergeCogroup);
           
            lp = lpt.buildPlan("store C into 'out';");
            MROperPlan mrPlan = Util.buildMRPlan(Util.buildPhysicalPlan(lp, pc),pc);           
            assertEquals(2,mrPlan.size());

            Iterator<MapReduceOper> itr = mrPlan.iterator();
            MapReduceOper oper = itr.next();
            assertTrue(oper.reducePlan.isEmpty());
            assertFalse(oper.mapPlan.isEmpty());

            oper = itr.next();
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Examples of org.apache.pig.backend.hadoop.executionengine.mapReduceLayer.plans.MROperPlan

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            pig.registerQuery("store E into 'alias_output';");
           
            LogicalPlan lp = getLogicalPlan(pig);
            PhysicalPlan pp = pig.getPigContext().getExecutionEngine().compile(lp,
                    null);
            MROperPlan mp = getMRPlan(pp, pig.getPigContext());
           
            assertEquals(3, mp.getKeys().size());
           
            MapReduceOper mro = mp.getRoots().get(0);
            assertEquals("A,B,C", getAlias(mro));
           
            mro = mp.getSuccessors(mro).get(0);
            assertEquals("D", getAlias(mro));
            
            mro = mp.getSuccessors(mro).get(0);
            assertEquals("D", getAlias(mro));
        } finally {
            File outputfile = new File("alias_output");
            if (outputfile.exists()) {
                // Hadoop Local mode creates a directory
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Examples of org.apache.pig.backend.hadoop.executionengine.mapReduceLayer.plans.MROperPlan

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        PhysicalPlan pp = Util.buildPhysicalPlanFromNewLP(lp, pc);
        POStore poStore = (POStore)pp.getLeaves().get(0);
        assert(poStore.getAlias().equals("B"));
       
        MROperPlan mrp = Util.buildMRPlanWithOptimizer(pp, pc);
        MapReduceOper mrOper = mrp.getLeaves().get(0);
        poStore = (POStore)mrOper.mapPlan.getLeaves().get(0);
        assert(poStore.getAlias().equals("B"));
    }
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Examples of org.apache.pig.backend.hadoop.executionengine.mapReduceLayer.plans.MROperPlan

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        LogicalPlanTester planTester = new LogicalPlanTester() ;
        planTester.buildPlan(" A = load 'input' using PigStorage('\t');");
        planTester.buildPlan(" B = order A by $0;");
        LogicalPlan lp = planTester.buildPlan("store B into '/tmp';");
        PhysicalPlan pp = Util.buildPhysicalPlan(lp, pc);
        MROperPlan mrPlan = Util.buildMRPlan(pp, pc);

        int count = 1;
        MapReduceOper mrOper = mrPlan.getRoots().get(0);
        while(mrPlan.getSuccessors(mrOper) != null) {
            mrOper = mrPlan.getSuccessors(mrOper).get(0);
            ++count;
        }
       
        // Before optimizer visits, number of MR jobs = 3.
        assertEquals(3,count);  

        SampleOptimizer so = new SampleOptimizer(mrPlan);
        so.visit();

        count = 1;
        mrOper = mrPlan.getRoots().get(0);
        while(mrPlan.getSuccessors(mrOper) != null) {
            mrOper = mrPlan.getSuccessors(mrOper).get(0);
            ++count;
        }
       
        // After optimizer visits, number of MR jobs = 2.
        assertEquals(2,count);

        // Test if RandomSampleLoader got pushed to top.
        mrOper = mrPlan.getRoots().get(0);
        List<PhysicalOperator> phyOps = mrOper.mapPlan.getRoots();
        assertEquals(1, phyOps.size());
        assertTrue(phyOps.get(0) instanceof POLoad);
        assertTrue(((POLoad)phyOps.get(0)).getLFile().getFuncName().equals("org.apache.pig.impl.builtin.RandomSampleLoader"));

        // Test RandomSampleLoader is not present anymore in second MR job.
        phyOps = mrPlan.getSuccessors(mrOper).get(0).mapPlan.getRoots();
        assertEquals(1, phyOps.size());
        assertTrue(phyOps.get(0) instanceof POLoad);
        assertFalse(((POLoad)phyOps.get(0)).getLFile().getFuncName().equals("org.apache.pig.impl.builtin.RandomSampleLoader"));
    }
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Examples of org.apache.pig.backend.hadoop.executionengine.mapReduceLayer.plans.MROperPlan

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        planTester.buildPlan(" A = load 'input' using PigStorage('\t');");
        planTester.buildPlan("B = group A by $0;");
        planTester.buildPlan(" C = order B by $0;");
        LogicalPlan lp = planTester.buildPlan("store C into 'output';");
        PhysicalPlan pp = Util.buildPhysicalPlan(lp, pc);
        MROperPlan mrPlan = Util.buildMRPlan(pp, pc);

        int count = 1;
        MapReduceOper mrOper = mrPlan.getRoots().get(0);
        while(mrPlan.getSuccessors(mrOper) != null) {
            mrOper = mrPlan.getSuccessors(mrOper).get(0);
            ++count;
        }       
        // Before optimizer visits, number of MR jobs = 3.
        assertEquals(3,count);

        SampleOptimizer so = new SampleOptimizer(mrPlan);
        so.visit();

        count = 1;
        mrOper = mrPlan.getRoots().get(0);
        while(mrPlan.getSuccessors(mrOper) != null) {
            mrOper = mrPlan.getSuccessors(mrOper).get(0);
            ++count;
        }       
       
        // After optimizer visits, number of MR jobs = 3. Since here
        // optimizer is not fired.
        assertEquals(3,count);

        // Test Sampler is not moved and is present in 2nd MR job.
        mrOper = mrPlan.getRoots().get(0);
        List<PhysicalOperator> phyOps = mrOper.mapPlan.getRoots();
        assertEquals(1, phyOps.size());
        assertTrue(phyOps.get(0) instanceof POLoad);
        assertFalse(((POLoad)phyOps.get(0)).getLFile().getFuncName().equals("org.apache.pig.impl.builtin.RandomSampleLoader"));

        phyOps = mrPlan.getSuccessors(mrOper).get(0).mapPlan.getRoots();
        assertEquals(1, phyOps.size());
        assertTrue(phyOps.get(0) instanceof POLoad);
        assertTrue(((POLoad)phyOps.get(0)).getLFile().getFuncName().equals("org.apache.pig.impl.builtin.RandomSampleLoader"));
    }
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Examples of org.apache.pig.backend.hadoop.executionengine.mapReduceLayer.plans.MROperPlan

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        planTester.buildPlan(" A = load 'input' using PigStorage('\t');");
        planTester.buildPlan("B = load 'input' using PigStorage('\t');");
        planTester.buildPlan(" C = join A by $0, B by $0 using \"skewed\";");
        LogicalPlan lp = planTester.buildPlan("store C into 'output';");
        PhysicalPlan pp = Util.buildPhysicalPlan(lp, pc);
        MROperPlan mrPlan = Util.buildMRPlan(pp, pc);

        int count = 1;
        MapReduceOper mrOper = mrPlan.getRoots().get(0);
        while(mrPlan.getSuccessors(mrOper) != null) {
            mrOper = mrPlan.getSuccessors(mrOper).get(0);
            ++count;
        }       
        // Before optimizer visits, number of MR jobs = 3.
        assertEquals(3,count);

        SampleOptimizer so = new SampleOptimizer(mrPlan);
        so.visit();

        count = 1;
        mrOper = mrPlan.getRoots().get(0);
        while(mrPlan.getSuccessors(mrOper) != null) {
            mrOper = mrPlan.getSuccessors(mrOper).get(0);
            ++count;
        }       
        // After optimizer visits, number of MR jobs = 2
        assertEquals(2,count);
    }
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Examples of org.apache.pig.backend.hadoop.executionengine.mapReduceLayer.plans.MROperPlan

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      planTester.buildPlan("b = order a by $0;");
      planTester.buildPlan("c = limit b 10;");
      LogicalPlan lp = planTester.buildPlan("store c into '/tmp';");
     
      PhysicalPlan pp = Util.buildPhysicalPlan(lp, pc);
      MROperPlan mrPlan = Util.buildMRPlan(pp, pc);
      MapReduceOper mrOper = mrPlan.getRoots().get(0);
      int count = 1;
     
      while(mrPlan.getSuccessors(mrOper) != null) {
        mrOper = mrPlan.getSuccessors(mrOper).get(0);
        ++count;
      }       
      assertTrue(count == 3);
    }
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Examples of org.apache.pig.backend.hadoop.executionengine.mapReduceLayer.plans.MROperPlan

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      planTester.buildPlan("b = order a by $0 parallel 2;");
      planTester.buildPlan("c = limit b 10;");
      LogicalPlan lp = planTester.buildPlan("store c into '/tmp';");
     
      PhysicalPlan pp = Util.buildPhysicalPlan(lp, pc);
      MROperPlan mrPlan = Util.buildMRPlan(pp, pc);
      MapReduceOper mrOper = mrPlan.getRoots().get(0);
      int count = 1;
     
      while(mrPlan.getSuccessors(mrOper) != null) {
        mrOper = mrPlan.getSuccessors(mrOper).get(0);
        ++count;
      }       
      assertTrue(count == 4);
    }
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