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

Example 56 with OptimizedPlan

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

the class PropertyDataSourceTest method checkSinglePartitionedOrderedSource5.

@Test
public void checkSinglePartitionedOrderedSource5() {
    ExecutionEnvironment env = ExecutionEnvironment.createLocalEnvironment();
    env.setParallelism(DEFAULT_PARALLELISM);
    DataSource<Tuple3<Long, SomePojo, String>> data = env.fromCollection(tuple3PojoData, tuple3PojoType);
    data.getSplitDataProperties().splitsPartitionedBy("f1.intField").splitsOrderedBy("f0; f1.intField", new Order[] { Order.ASCENDING, 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(0, 2)));
    Assert.assertTrue(lprops.getOrdering() == null);
}

Example 57 with OptimizedPlan

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

the class PropertyDataSourceTest method checkSinglePartitionedSource1.

@Test
public void checkSinglePartitionedSource1() {
    ExecutionEnvironment env = ExecutionEnvironment.createLocalEnvironment();
    env.setParallelism(DEFAULT_PARALLELISM);
    DataSource<Tuple2<Long, String>> data = env.readCsvFile("/some/path").types(Long.class, String.class);
    data.getSplitDataProperties().splitsPartitionedBy(0);
    data.output(new DiscardingOutputFormat<Tuple2<Long, 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(0)));
    Assert.assertTrue(gprops.getPartitioning() == PartitioningProperty.ANY_PARTITIONING);
    Assert.assertTrue(lprops.getGroupedFields() == null);
    Assert.assertTrue(lprops.getOrdering() == null);
}

Example 58 with OptimizedPlan

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

the class PropertyDataSourceTest method checkSinglePartitionedOrderedSource1.

@Test
public void checkSinglePartitionedOrderedSource1() {
    ExecutionEnvironment env = ExecutionEnvironment.createLocalEnvironment();
    env.setParallelism(DEFAULT_PARALLELISM);
    DataSource<Tuple2<Long, String>> data = env.readCsvFile("/some/path").types(Long.class, String.class);
    data.getSplitDataProperties().splitsPartitionedBy(1).splitsOrderedBy(new int[] { 1 }, new Order[] { Order.ASCENDING });
    data.output(new DiscardingOutputFormat<Tuple2<Long, 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)));
    Assert.assertTrue(gprops.getPartitioning() == PartitioningProperty.ANY_PARTITIONING);
    Assert.assertTrue((new FieldSet(lprops.getGroupedFields().toArray())).equals(new FieldSet(1)));
    Assert.assertTrue(lprops.getOrdering() == null);
}

Example 59 with OptimizedPlan

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

the class PropertyDataSourceTest method checkSinglePartitionedGroupedSource1.

@Test
public void checkSinglePartitionedGroupedSource1() {
    ExecutionEnvironment env = ExecutionEnvironment.createLocalEnvironment();
    env.setParallelism(DEFAULT_PARALLELISM);
    DataSource<Tuple2<Long, String>> data = env.readCsvFile("/some/path").types(Long.class, String.class);
    data.getSplitDataProperties().splitsPartitionedBy(0).splitsGroupedBy(0);
    data.output(new DiscardingOutputFormat<Tuple2<Long, 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(0)));
    Assert.assertTrue(gprops.getPartitioning() == PartitioningProperty.ANY_PARTITIONING);
    Assert.assertTrue(new FieldSet(lprops.getGroupedFields().toArray()).equals(new FieldSet(0)));
    Assert.assertTrue(lprops.getOrdering() == null);
}

Example 60 with OptimizedPlan

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

the class PropertyDataSourceTest method checkSinglePartitionedSource7.

@Test
public void checkSinglePartitionedSource7() {
    ExecutionEnvironment env = ExecutionEnvironment.createLocalEnvironment();
    env.setParallelism(DEFAULT_PARALLELISM);
    DataSource<Tuple2<Long, String>> data = env.readCsvFile("/some/path").types(Long.class, String.class);
    data.getSplitDataProperties().splitsPartitionedBy("byDate", 1, 0);
    data.output(new DiscardingOutputFormat<Tuple2<Long, 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(0, 1)));
    Assert.assertTrue(gprops.getPartitioning() == PartitioningProperty.CUSTOM_PARTITIONING);
    Assert.assertTrue(gprops.getCustomPartitioner() != null);
    Assert.assertTrue(lprops.getGroupedFields() == null);
    Assert.assertTrue(lprops.getOrdering() == null);
}