Examples with OptimizedPlan org.apache.flink.optimizer.plan.OptimizedPlan used on opensource projects

Example 61 with OptimizedPlan

use of org.apache.flink.optimizer.plan.OptimizedPlan in project flink by apache.

the class PropertyDataSourceTest method checkSinglePartitionedGroupedSource6.

@Test
public void checkSinglePartitionedGroupedSource6() {
    ExecutionEnvironment env = ExecutionEnvironment.createLocalEnvironment();
    env.setParallelism(DEFAULT_PARALLELISM);
    DataSource<Tuple3<Long, SomePojo, String>> data = env.fromCollection(tuple3PojoData, tuple3PojoType);
    data.getSplitDataProperties().splitsPartitionedBy("f1.intField").splitsGroupedBy("f0; f1.intField");
    data.output(new DiscardingOutputFormat<Tuple3<Long, SomePojo, String>>());
    Plan plan = env.createProgramPlan();
    // submit the plan to the compiler
    OptimizedPlan oPlan = compileNoStats(plan);
    // check the optimized Plan
    SinkPlanNode sinkNode = oPlan.getDataSinks().iterator().next();
    SourcePlanNode sourceNode = (SourcePlanNode) sinkNode.getPredecessor();
    GlobalProperties gprops = sourceNode.getGlobalProperties();
    LocalProperties lprops = sourceNode.getLocalProperties();
    Assert.assertTrue((new FieldSet(gprops.getPartitioningFields().toArray())).equals(new FieldSet(2)));
    Assert.assertTrue(gprops.getPartitioning() == PartitioningProperty.ANY_PARTITIONING);
    Assert.assertTrue(new FieldSet(lprops.getGroupedFields().toArray()).equals(new FieldSet(0, 2)));
    Assert.assertTrue(lprops.getOrdering() == null);
}

Example 62 with OptimizedPlan

use of org.apache.flink.optimizer.plan.OptimizedPlan in project flink by apache.

the class PropertyDataSourceTest method checkSinglePartitionedOrderedSource6.

@Test
public void checkSinglePartitionedOrderedSource6() {
    ExecutionEnvironment env = ExecutionEnvironment.createLocalEnvironment();
    env.setParallelism(DEFAULT_PARALLELISM);
    DataSource<Tuple3<Long, SomePojo, String>> data = env.fromCollection(tuple3PojoData, tuple3PojoType);
    data.getSplitDataProperties().splitsPartitionedBy("f1.intField").splitsOrderedBy("f1", new Order[] { Order.DESCENDING });
    data.output(new DiscardingOutputFormat<Tuple3<Long, SomePojo, String>>());
    Plan plan = env.createProgramPlan();
    // submit the plan to the compiler
    OptimizedPlan oPlan = compileNoStats(plan);
    // check the optimized Plan
    SinkPlanNode sinkNode = oPlan.getDataSinks().iterator().next();
    SourcePlanNode sourceNode = (SourcePlanNode) sinkNode.getPredecessor();
    GlobalProperties gprops = sourceNode.getGlobalProperties();
    LocalProperties lprops = sourceNode.getLocalProperties();
    Assert.assertTrue((new FieldSet(gprops.getPartitioningFields().toArray())).equals(new FieldSet(2)));
    Assert.assertTrue(gprops.getPartitioning() == PartitioningProperty.ANY_PARTITIONING);
    Assert.assertTrue(new FieldSet(lprops.getGroupedFields().toArray()).equals(new FieldSet(1, 2, 3)));
    Assert.assertTrue(lprops.getOrdering() == null);
}

Example 63 with OptimizedPlan

use of org.apache.flink.optimizer.plan.OptimizedPlan in project flink by apache.

the class PropertyDataSourceTest method checkSinglePartitionedSource4.

@Test
public void checkSinglePartitionedSource4() {
    ExecutionEnvironment env = ExecutionEnvironment.createLocalEnvironment();
    env.setParallelism(DEFAULT_PARALLELISM);
    DataSource<Tuple3<Long, SomePojo, String>> data = env.fromCollection(tuple3PojoData, tuple3PojoType);
    data.getSplitDataProperties().splitsPartitionedBy("f1");
    data.output(new DiscardingOutputFormat<Tuple3<Long, SomePojo, String>>());
    Plan plan = env.createProgramPlan();
    // submit the plan to the compiler
    OptimizedPlan oPlan = compileNoStats(plan);
    // check the optimized Plan
    SinkPlanNode sinkNode = oPlan.getDataSinks().iterator().next();
    SourcePlanNode sourceNode = (SourcePlanNode) sinkNode.getPredecessor();
    GlobalProperties gprops = sourceNode.getGlobalProperties();
    LocalProperties lprops = sourceNode.getLocalProperties();
    Assert.assertTrue((new FieldSet(gprops.getPartitioningFields().toArray())).equals(new FieldSet(1, 2, 3)));
    Assert.assertTrue(gprops.getPartitioning() == PartitioningProperty.ANY_PARTITIONING);
    Assert.assertTrue(lprops.getGroupedFields() == null);
    Assert.assertTrue(lprops.getOrdering() == null);
}

Example 64 with OptimizedPlan

use of org.apache.flink.optimizer.plan.OptimizedPlan in project flink by apache.

the class GroupingKeySelectorTranslationTest method testCustomPartitioningKeySelectorReduce.

@Test
public void testCustomPartitioningKeySelectorReduce() {
    try {
        ExecutionEnvironment env = ExecutionEnvironment.getExecutionEnvironment();
        DataSet<Tuple2<Integer, Integer>> data = env.fromElements(new Tuple2<Integer, Integer>(0, 0)).rebalance().setParallelism(4);
        data.groupBy(new TestKeySelector<Tuple2<Integer, Integer>>()).withPartitioner(new TestPartitionerInt()).reduce(new DummyReducer<Tuple2<Integer, Integer>>()).output(new DiscardingOutputFormat<Tuple2<Integer, Integer>>());
        Plan p = env.createProgramPlan();
        OptimizedPlan op = compileNoStats(p);
        SinkPlanNode sink = op.getDataSinks().iterator().next();
        SingleInputPlanNode keyRemovingMapper = (SingleInputPlanNode) sink.getInput().getSource();
        SingleInputPlanNode reducer = (SingleInputPlanNode) keyRemovingMapper.getInput().getSource();
        SingleInputPlanNode combiner = (SingleInputPlanNode) reducer.getInput().getSource();
        assertEquals(ShipStrategyType.FORWARD, sink.getInput().getShipStrategy());
        assertEquals(ShipStrategyType.FORWARD, keyRemovingMapper.getInput().getShipStrategy());
        assertEquals(ShipStrategyType.PARTITION_CUSTOM, reducer.getInput().getShipStrategy());
        assertEquals(ShipStrategyType.FORWARD, combiner.getInput().getShipStrategy());
    } catch (Exception e) {
        e.printStackTrace();
        fail(e.getMessage());
    }
}

Example 65 with OptimizedPlan

use of org.apache.flink.optimizer.plan.OptimizedPlan in project flink by apache.

the class GroupingTupleTranslationTest method testCustomPartitioningTupleGroupReduce.

@Test
public void testCustomPartitioningTupleGroupReduce() {
    try {
        ExecutionEnvironment env = ExecutionEnvironment.getExecutionEnvironment();
        DataSet<Tuple2<Integer, Integer>> data = env.fromElements(new Tuple2<Integer, Integer>(0, 0)).rebalance().setParallelism(4);
        data.groupBy(0).withPartitioner(new TestPartitionerInt()).reduceGroup(new IdentityGroupReducerCombinable<Tuple2<Integer, Integer>>()).output(new DiscardingOutputFormat<Tuple2<Integer, Integer>>());
        Plan p = env.createProgramPlan();
        OptimizedPlan op = compileNoStats(p);
        SinkPlanNode sink = op.getDataSinks().iterator().next();
        SingleInputPlanNode reducer = (SingleInputPlanNode) sink.getInput().getSource();
        SingleInputPlanNode combiner = (SingleInputPlanNode) reducer.getInput().getSource();
        assertEquals(ShipStrategyType.FORWARD, sink.getInput().getShipStrategy());
        assertEquals(ShipStrategyType.PARTITION_CUSTOM, reducer.getInput().getShipStrategy());
        assertEquals(ShipStrategyType.FORWARD, combiner.getInput().getShipStrategy());
    } catch (Exception e) {
        e.printStackTrace();
        fail(e.getMessage());
    }
}