org.apache.flink.optimizer.testfunctions.IdentityGroupReducerCombinable Java Examples

The following examples show how to use org.apache.flink.optimizer.testfunctions.IdentityGroupReducerCombinable. You can vote up the ones you like or vote down the ones you don't like, and go to the original project or source file by following the links above each example. You may check out the related API usage on the sidebar.

Example #1

Source File: GroupingTupleTranslationTest.java From flink with Apache License 2.0

5 votes

@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());
	}
}

Example #2

Source File: GroupingTupleTranslationTest.java From flink with Apache License 2.0

5 votes

@Test
public void testCustomPartitioningTupleGroupReduceSorted2() {
	try {
		ExecutionEnvironment env = ExecutionEnvironment.getExecutionEnvironment();
		
		DataSet<Tuple4<Integer,Integer,Integer, Integer>> data = env.fromElements(new Tuple4<Integer,Integer,Integer,Integer>(0, 0, 0, 0))
				.rebalance().setParallelism(4);
		
		data.groupBy(0).withPartitioner(new TestPartitionerInt())
			.sortGroup(1, Order.ASCENDING)
			.sortGroup(2, Order.DESCENDING)
			.reduceGroup(new IdentityGroupReducerCombinable<Tuple4<Integer,Integer,Integer,Integer>>())
			.output(new DiscardingOutputFormat<Tuple4<Integer, Integer, 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());
	}
}

Example #3

Source File: GroupingPojoTranslationTest.java From flink with Apache License 2.0

5 votes

@Test
public void testCustomPartitioningTupleGroupReduce() {
	try {
		ExecutionEnvironment env = ExecutionEnvironment.getExecutionEnvironment();

		DataSet<Pojo2> data = env.fromElements(new Pojo2())
				.rebalance().setParallelism(4);

		data.groupBy("a").withPartitioner(new TestPartitionerInt())
				.reduceGroup(new IdentityGroupReducerCombinable<Pojo2>())
				.output(new DiscardingOutputFormat<Pojo2>());

		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());
	}
}

Example #4

Source File: GroupingPojoTranslationTest.java From flink with Apache License 2.0

5 votes

@Test
public void testCustomPartitioningTupleGroupReduceSorted() {
	try {
		ExecutionEnvironment env = ExecutionEnvironment.getExecutionEnvironment();

		DataSet<Pojo3> data = env.fromElements(new Pojo3())
				.rebalance().setParallelism(4);

		data.groupBy("a").withPartitioner(new TestPartitionerInt())
				.sortGroup("b", Order.ASCENDING)
				.reduceGroup(new IdentityGroupReducerCombinable<Pojo3>())
				.output(new DiscardingOutputFormat<Pojo3>());

		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());
	}
}

Example #5

Source File: GroupingPojoTranslationTest.java From flink with Apache License 2.0

5 votes

@Test
public void testCustomPartitioningTupleGroupReduceSorted2() {
	try {
		ExecutionEnvironment env = ExecutionEnvironment.getExecutionEnvironment();

		DataSet<Pojo4> data = env.fromElements(new Pojo4())
				.rebalance().setParallelism(4);

		data.groupBy("a").withPartitioner(new TestPartitionerInt())
				.sortGroup("b", Order.ASCENDING)
				.sortGroup("c", Order.DESCENDING)
				.reduceGroup(new IdentityGroupReducerCombinable<Pojo4>())
				.output(new DiscardingOutputFormat<Pojo4>());

		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());
	}
}

Example #6

Source File: GroupingKeySelectorTranslationTest.java From flink with Apache License 2.0

5 votes

@Test
public void testCustomPartitioningKeySelectorGroupReduce() {
	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())
				.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());
	}
}

Example #7

Source File: GroupingKeySelectorTranslationTest.java From flink with Apache License 2.0

5 votes

@Test
public void testCustomPartitioningKeySelectorGroupReduceSorted() {
	try {
		ExecutionEnvironment env = ExecutionEnvironment.getExecutionEnvironment();
		
		DataSet<Tuple3<Integer, Integer, Integer>> data = env.fromElements(new Tuple3<Integer, Integer, Integer>(0, 0, 0))
				.rebalance().setParallelism(4);
		
		data.groupBy(new TestKeySelector<Tuple3<Integer,Integer,Integer>>())
			.withPartitioner(new TestPartitionerInt())
			.sortGroup(new TestKeySelector<Tuple3<Integer, Integer, Integer>>(), Order.ASCENDING)
			.reduceGroup(new IdentityGroupReducerCombinable<Tuple3<Integer,Integer,Integer>>())
			.output(new DiscardingOutputFormat<Tuple3<Integer, 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());
	}
}

Example #8

Source File: PartitionOperatorTest.java From flink with Apache License 2.0

5 votes

@Test
public void testPartitionCustomOperatorPreservesFields() {
	try {
		ExecutionEnvironment env = ExecutionEnvironment.getExecutionEnvironment();
		
		DataSet<Tuple2<Long, Long>> data = env.fromCollection(Collections.singleton(new Tuple2<>(0L, 0L)));
		
		data.partitionCustom(new Partitioner<Long>() {
				public int partition(Long key, int numPartitions) { return key.intValue(); }
			}, 1)
			.groupBy(1)
			.reduceGroup(new IdentityGroupReducerCombinable<Tuple2<Long, Long>>())
			.output(new DiscardingOutputFormat<Tuple2<Long, Long>>());
		
		Plan p = env.createProgramPlan();
		OptimizedPlan op = compileNoStats(p);
		
		SinkPlanNode sink = op.getDataSinks().iterator().next();
		SingleInputPlanNode reducer = (SingleInputPlanNode) sink.getInput().getSource();
		SingleInputPlanNode partitioner = (SingleInputPlanNode) reducer.getInput().getSource();

		assertEquals(ShipStrategyType.FORWARD, reducer.getInput().getShipStrategy());
		assertEquals(ShipStrategyType.PARTITION_CUSTOM, partitioner.getInput().getShipStrategy());
	}
	catch (Exception e) {
		e.printStackTrace();
		fail(e.getMessage());
	}
}

Example #9

Source File: PartitionOperatorTest.java From flink with Apache License 2.0

5 votes

@Test
public void testRangePartitionOperatorPreservesFields() {
	try {
		ExecutionEnvironment env = ExecutionEnvironment.getExecutionEnvironment();

		DataSet<Tuple2<Long, Long>> data = env.fromCollection(Collections.singleton(new Tuple2<>(0L, 0L)));

		data.partitionByRange(1)
			.groupBy(1)
			.reduceGroup(new IdentityGroupReducerCombinable<Tuple2<Long,Long>>())
			.output(new DiscardingOutputFormat<Tuple2<Long, Long>>());

		Plan p = env.createProgramPlan();
		OptimizedPlan op = compileNoStats(p);

		SinkPlanNode sink = op.getDataSinks().iterator().next();
		SingleInputPlanNode reducer = (SingleInputPlanNode) sink.getInput().getSource();
		SingleInputPlanNode partitionNode = (SingleInputPlanNode)reducer.getInput().getSource();
		SingleInputPlanNode partitionIDRemover = (SingleInputPlanNode) partitionNode.getInput().getSource();

		assertEquals(ShipStrategyType.FORWARD, reducer.getInput().getShipStrategy());
		assertEquals(ShipStrategyType.FORWARD, partitionNode.getInput().getShipStrategy());
		assertEquals(ShipStrategyType.PARTITION_CUSTOM, partitionIDRemover.getInput().getShipStrategy());

		SourcePlanNode sourcePlanNode = op.getDataSources().iterator().next();
		List<Channel> sourceOutgoingChannels = sourcePlanNode.getOutgoingChannels();
		assertEquals(2, sourceOutgoingChannels.size());
		assertEquals(ShipStrategyType.FORWARD, sourceOutgoingChannels.get(0).getShipStrategy());
		assertEquals(ShipStrategyType.FORWARD, sourceOutgoingChannels.get(1).getShipStrategy());
		assertEquals(DataExchangeMode.PIPELINED, sourceOutgoingChannels.get(0).getDataExchangeMode());
		assertEquals(DataExchangeMode.BATCH, sourceOutgoingChannels.get(1).getDataExchangeMode());
	}
	catch (Exception e) {
		e.printStackTrace();
		fail(e.getMessage());
	}
}

Example #10

Source File: PartitionOperatorTest.java From Flink-CEPplus with Apache License 2.0

5 votes

@Test
public void testRangePartitionOperatorPreservesFields() {
	try {
		ExecutionEnvironment env = ExecutionEnvironment.getExecutionEnvironment();

		DataSet<Tuple2<Long, Long>> data = env.fromCollection(Collections.singleton(new Tuple2<>(0L, 0L)));

		data.partitionByRange(1)
			.groupBy(1)
			.reduceGroup(new IdentityGroupReducerCombinable<Tuple2<Long,Long>>())
			.output(new DiscardingOutputFormat<Tuple2<Long, Long>>());

		Plan p = env.createProgramPlan();
		OptimizedPlan op = compileNoStats(p);

		SinkPlanNode sink = op.getDataSinks().iterator().next();
		SingleInputPlanNode reducer = (SingleInputPlanNode) sink.getInput().getSource();
		SingleInputPlanNode partitionNode = (SingleInputPlanNode)reducer.getInput().getSource();
		SingleInputPlanNode partitionIDRemover = (SingleInputPlanNode) partitionNode.getInput().getSource();

		assertEquals(ShipStrategyType.FORWARD, reducer.getInput().getShipStrategy());
		assertEquals(ShipStrategyType.FORWARD, partitionNode.getInput().getShipStrategy());
		assertEquals(ShipStrategyType.PARTITION_CUSTOM, partitionIDRemover.getInput().getShipStrategy());

		SourcePlanNode sourcePlanNode = op.getDataSources().iterator().next();
		List<Channel> sourceOutgoingChannels = sourcePlanNode.getOutgoingChannels();
		assertEquals(2, sourceOutgoingChannels.size());
		assertEquals(ShipStrategyType.FORWARD, sourceOutgoingChannels.get(0).getShipStrategy());
		assertEquals(ShipStrategyType.FORWARD, sourceOutgoingChannels.get(1).getShipStrategy());
		assertEquals(DataExchangeMode.PIPELINED, sourceOutgoingChannels.get(0).getDataExchangeMode());
		assertEquals(DataExchangeMode.BATCH, sourceOutgoingChannels.get(1).getDataExchangeMode());
	}
	catch (Exception e) {
		e.printStackTrace();
		fail(e.getMessage());
	}
}

Example #11

Source File: GroupingTupleTranslationTest.java From flink with Apache License 2.0

5 votes

@Test
public void testCustomPartitioningTupleGroupReduceSorted() {
	try {
		ExecutionEnvironment env = ExecutionEnvironment.getExecutionEnvironment();
		
		DataSet<Tuple3<Integer, Integer, Integer>> data = env.fromElements(new Tuple3<Integer, Integer, Integer>(0, 0, 0))
				.rebalance().setParallelism(4);
		
		data.groupBy(0).withPartitioner(new TestPartitionerInt())
			.sortGroup(1, Order.ASCENDING)
			.reduceGroup(new IdentityGroupReducerCombinable<Tuple3<Integer,Integer,Integer>>())
			.output(new DiscardingOutputFormat<Tuple3<Integer, 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());
	}
}

Example #12

Source File: GroupingTupleTranslationTest.java From flink with Apache License 2.0

5 votes

@Test
public void testCustomPartitioningTupleGroupReduceSorted2() {
	try {
		ExecutionEnvironment env = ExecutionEnvironment.getExecutionEnvironment();
		
		DataSet<Tuple4<Integer,Integer,Integer, Integer>> data = env.fromElements(new Tuple4<Integer,Integer,Integer,Integer>(0, 0, 0, 0))
				.rebalance().setParallelism(4);
		
		data.groupBy(0).withPartitioner(new TestPartitionerInt())
			.sortGroup(1, Order.ASCENDING)
			.sortGroup(2, Order.DESCENDING)
			.reduceGroup(new IdentityGroupReducerCombinable<Tuple4<Integer,Integer,Integer,Integer>>())
			.output(new DiscardingOutputFormat<Tuple4<Integer, Integer, 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());
	}
}

Example #13

Source File: GroupingPojoTranslationTest.java From flink with Apache License 2.0

5 votes

@Test
public void testCustomPartitioningTupleGroupReduce() {
	try {
		ExecutionEnvironment env = ExecutionEnvironment.getExecutionEnvironment();

		DataSet<Pojo2> data = env.fromElements(new Pojo2())
				.rebalance().setParallelism(4);

		data.groupBy("a").withPartitioner(new TestPartitionerInt())
				.reduceGroup(new IdentityGroupReducerCombinable<Pojo2>())
				.output(new DiscardingOutputFormat<Pojo2>());

		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());
	}
}

Example #14

Source File: GroupingPojoTranslationTest.java From flink with Apache License 2.0

5 votes

@Test
public void testCustomPartitioningTupleGroupReduceSorted() {
	try {
		ExecutionEnvironment env = ExecutionEnvironment.getExecutionEnvironment();

		DataSet<Pojo3> data = env.fromElements(new Pojo3())
				.rebalance().setParallelism(4);

		data.groupBy("a").withPartitioner(new TestPartitionerInt())
				.sortGroup("b", Order.ASCENDING)
				.reduceGroup(new IdentityGroupReducerCombinable<Pojo3>())
				.output(new DiscardingOutputFormat<Pojo3>());

		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());
	}
}

Example #15

Source File: GroupingPojoTranslationTest.java From flink with Apache License 2.0

5 votes

@Test
public void testCustomPartitioningTupleGroupReduceSorted2() {
	try {
		ExecutionEnvironment env = ExecutionEnvironment.getExecutionEnvironment();

		DataSet<Pojo4> data = env.fromElements(new Pojo4())
				.rebalance().setParallelism(4);

		data.groupBy("a").withPartitioner(new TestPartitionerInt())
				.sortGroup("b", Order.ASCENDING)
				.sortGroup("c", Order.DESCENDING)
				.reduceGroup(new IdentityGroupReducerCombinable<Pojo4>())
				.output(new DiscardingOutputFormat<Pojo4>());

		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());
	}
}

Example #16

Source File: GroupingKeySelectorTranslationTest.java From flink with Apache License 2.0

5 votes

@Test
public void testCustomPartitioningKeySelectorGroupReduce() {
	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())
				.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());
	}
}

Example #17

Source File: GroupingKeySelectorTranslationTest.java From flink with Apache License 2.0

5 votes

@Test
public void testCustomPartitioningKeySelectorGroupReduceSorted() {
	try {
		ExecutionEnvironment env = ExecutionEnvironment.getExecutionEnvironment();
		
		DataSet<Tuple3<Integer, Integer, Integer>> data = env.fromElements(new Tuple3<Integer, Integer, Integer>(0, 0, 0))
				.rebalance().setParallelism(4);
		
		data.groupBy(new TestKeySelector<Tuple3<Integer,Integer,Integer>>())
			.withPartitioner(new TestPartitionerInt())
			.sortGroup(new TestKeySelector<Tuple3<Integer, Integer, Integer>>(), Order.ASCENDING)
			.reduceGroup(new IdentityGroupReducerCombinable<Tuple3<Integer,Integer,Integer>>())
			.output(new DiscardingOutputFormat<Tuple3<Integer, 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());
	}
}

Example #18

Source File: GroupingTupleTranslationTest.java From flink with Apache License 2.0

5 votes

@Test
public void testCustomPartitioningTupleGroupReduceSorted() {
	try {
		ExecutionEnvironment env = ExecutionEnvironment.getExecutionEnvironment();
		
		DataSet<Tuple3<Integer, Integer, Integer>> data = env.fromElements(new Tuple3<Integer, Integer, Integer>(0, 0, 0))
				.rebalance().setParallelism(4);
		
		data.groupBy(0).withPartitioner(new TestPartitionerInt())
			.sortGroup(1, Order.ASCENDING)
			.reduceGroup(new IdentityGroupReducerCombinable<Tuple3<Integer,Integer,Integer>>())
			.output(new DiscardingOutputFormat<Tuple3<Integer, 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());
	}
}

Example #19

Source File: GroupingTupleTranslationTest.java From flink with Apache License 2.0

5 votes

@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());
	}
}

Example #20

Source File: PartitionOperatorTest.java From flink with Apache License 2.0

5 votes

@Test
public void testRangePartitionOperatorPreservesFields() {
	try {
		ExecutionEnvironment env = ExecutionEnvironment.getExecutionEnvironment();

		DataSet<Tuple2<Long, Long>> data = env.fromCollection(Collections.singleton(new Tuple2<>(0L, 0L)));

		data.partitionByRange(1)
			.groupBy(1)
			.reduceGroup(new IdentityGroupReducerCombinable<Tuple2<Long,Long>>())
			.output(new DiscardingOutputFormat<Tuple2<Long, Long>>());

		Plan p = env.createProgramPlan();
		OptimizedPlan op = compileNoStats(p);

		SinkPlanNode sink = op.getDataSinks().iterator().next();
		SingleInputPlanNode reducer = (SingleInputPlanNode) sink.getInput().getSource();
		SingleInputPlanNode partitionNode = (SingleInputPlanNode)reducer.getInput().getSource();
		SingleInputPlanNode partitionIDRemover = (SingleInputPlanNode) partitionNode.getInput().getSource();

		assertEquals(ShipStrategyType.FORWARD, reducer.getInput().getShipStrategy());
		assertEquals(ShipStrategyType.FORWARD, partitionNode.getInput().getShipStrategy());
		assertEquals(ShipStrategyType.PARTITION_CUSTOM, partitionIDRemover.getInput().getShipStrategy());

		SourcePlanNode sourcePlanNode = op.getDataSources().iterator().next();
		List<Channel> sourceOutgoingChannels = sourcePlanNode.getOutgoingChannels();
		assertEquals(2, sourceOutgoingChannels.size());
		assertEquals(ShipStrategyType.FORWARD, sourceOutgoingChannels.get(0).getShipStrategy());
		assertEquals(ShipStrategyType.FORWARD, sourceOutgoingChannels.get(1).getShipStrategy());
		assertEquals(DataExchangeMode.PIPELINED, sourceOutgoingChannels.get(0).getDataExchangeMode());
		assertEquals(DataExchangeMode.BATCH, sourceOutgoingChannels.get(1).getDataExchangeMode());
	}
	catch (Exception e) {
		e.printStackTrace();
		fail(e.getMessage());
	}
}

Example #21

Source File: PartitionOperatorTest.java From flink with Apache License 2.0

5 votes

@Test
public void testPartitionCustomOperatorPreservesFields() {
	try {
		ExecutionEnvironment env = ExecutionEnvironment.getExecutionEnvironment();
		
		DataSet<Tuple2<Long, Long>> data = env.fromCollection(Collections.singleton(new Tuple2<>(0L, 0L)));
		
		data.partitionCustom(new Partitioner<Long>() {
				public int partition(Long key, int numPartitions) { return key.intValue(); }
			}, 1)
			.groupBy(1)
			.reduceGroup(new IdentityGroupReducerCombinable<Tuple2<Long, Long>>())
			.output(new DiscardingOutputFormat<Tuple2<Long, Long>>());
		
		Plan p = env.createProgramPlan();
		OptimizedPlan op = compileNoStats(p);
		
		SinkPlanNode sink = op.getDataSinks().iterator().next();
		SingleInputPlanNode reducer = (SingleInputPlanNode) sink.getInput().getSource();
		SingleInputPlanNode partitioner = (SingleInputPlanNode) reducer.getInput().getSource();

		assertEquals(ShipStrategyType.FORWARD, reducer.getInput().getShipStrategy());
		assertEquals(ShipStrategyType.PARTITION_CUSTOM, partitioner.getInput().getShipStrategy());
	}
	catch (Exception e) {
		e.printStackTrace();
		fail(e.getMessage());
	}
}

Example #22

Source File: PartitionOperatorTest.java From Flink-CEPplus with Apache License 2.0

5 votes

@Test
public void testPartitionCustomOperatorPreservesFields() {
	try {
		ExecutionEnvironment env = ExecutionEnvironment.getExecutionEnvironment();
		
		DataSet<Tuple2<Long, Long>> data = env.fromCollection(Collections.singleton(new Tuple2<>(0L, 0L)));
		
		data.partitionCustom(new Partitioner<Long>() {
				public int partition(Long key, int numPartitions) { return key.intValue(); }
			}, 1)
			.groupBy(1)
			.reduceGroup(new IdentityGroupReducerCombinable<Tuple2<Long, Long>>())
			.output(new DiscardingOutputFormat<Tuple2<Long, Long>>());
		
		Plan p = env.createProgramPlan();
		OptimizedPlan op = compileNoStats(p);
		
		SinkPlanNode sink = op.getDataSinks().iterator().next();
		SingleInputPlanNode reducer = (SingleInputPlanNode) sink.getInput().getSource();
		SingleInputPlanNode partitioner = (SingleInputPlanNode) reducer.getInput().getSource();

		assertEquals(ShipStrategyType.FORWARD, reducer.getInput().getShipStrategy());
		assertEquals(ShipStrategyType.PARTITION_CUSTOM, partitioner.getInput().getShipStrategy());
	}
	catch (Exception e) {
		e.printStackTrace();
		fail(e.getMessage());
	}
}

Example #23

Source File: GroupingTupleTranslationTest.java From Flink-CEPplus with Apache License 2.0

5 votes

@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());
	}
}

Example #24

Source File: GroupingTupleTranslationTest.java From Flink-CEPplus with Apache License 2.0

5 votes

@Test
public void testCustomPartitioningTupleGroupReduceSorted() {
	try {
		ExecutionEnvironment env = ExecutionEnvironment.getExecutionEnvironment();
		
		DataSet<Tuple3<Integer, Integer, Integer>> data = env.fromElements(new Tuple3<Integer, Integer, Integer>(0, 0, 0))
				.rebalance().setParallelism(4);
		
		data.groupBy(0).withPartitioner(new TestPartitionerInt())
			.sortGroup(1, Order.ASCENDING)
			.reduceGroup(new IdentityGroupReducerCombinable<Tuple3<Integer,Integer,Integer>>())
			.output(new DiscardingOutputFormat<Tuple3<Integer, 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());
	}
}

Example #25

Source File: GroupingKeySelectorTranslationTest.java From Flink-CEPplus with Apache License 2.0

5 votes

@Test
public void testCustomPartitioningKeySelectorGroupReduceSorted() {
	try {
		ExecutionEnvironment env = ExecutionEnvironment.getExecutionEnvironment();
		
		DataSet<Tuple3<Integer, Integer, Integer>> data = env.fromElements(new Tuple3<Integer, Integer, Integer>(0, 0, 0))
				.rebalance().setParallelism(4);
		
		data.groupBy(new TestKeySelector<Tuple3<Integer,Integer,Integer>>())
			.withPartitioner(new TestPartitionerInt())
			.sortGroup(new TestKeySelector<Tuple3<Integer, Integer, Integer>>(), Order.ASCENDING)
			.reduceGroup(new IdentityGroupReducerCombinable<Tuple3<Integer,Integer,Integer>>())
			.output(new DiscardingOutputFormat<Tuple3<Integer, 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());
	}
}

Example #26

Source File: GroupingKeySelectorTranslationTest.java From Flink-CEPplus with Apache License 2.0

5 votes

@Test
public void testCustomPartitioningKeySelectorGroupReduce() {
	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())
				.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());
	}
}

Example #27

Source File: GroupingPojoTranslationTest.java From Flink-CEPplus with Apache License 2.0

5 votes

@Test
public void testCustomPartitioningTupleGroupReduceSorted2() {
	try {
		ExecutionEnvironment env = ExecutionEnvironment.getExecutionEnvironment();

		DataSet<Pojo4> data = env.fromElements(new Pojo4())
				.rebalance().setParallelism(4);

		data.groupBy("a").withPartitioner(new TestPartitionerInt())
				.sortGroup("b", Order.ASCENDING)
				.sortGroup("c", Order.DESCENDING)
				.reduceGroup(new IdentityGroupReducerCombinable<Pojo4>())
				.output(new DiscardingOutputFormat<Pojo4>());

		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());
	}
}

Example #28

Source File: GroupingPojoTranslationTest.java From Flink-CEPplus with Apache License 2.0

5 votes

@Test
public void testCustomPartitioningTupleGroupReduceSorted() {
	try {
		ExecutionEnvironment env = ExecutionEnvironment.getExecutionEnvironment();

		DataSet<Pojo3> data = env.fromElements(new Pojo3())
				.rebalance().setParallelism(4);

		data.groupBy("a").withPartitioner(new TestPartitionerInt())
				.sortGroup("b", Order.ASCENDING)
				.reduceGroup(new IdentityGroupReducerCombinable<Pojo3>())
				.output(new DiscardingOutputFormat<Pojo3>());

		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());
	}
}

Example #29

Source File: GroupingPojoTranslationTest.java From Flink-CEPplus with Apache License 2.0

5 votes

@Test
public void testCustomPartitioningTupleGroupReduce() {
	try {
		ExecutionEnvironment env = ExecutionEnvironment.getExecutionEnvironment();

		DataSet<Pojo2> data = env.fromElements(new Pojo2())
				.rebalance().setParallelism(4);

		data.groupBy("a").withPartitioner(new TestPartitionerInt())
				.reduceGroup(new IdentityGroupReducerCombinable<Pojo2>())
				.output(new DiscardingOutputFormat<Pojo2>());

		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());
	}
}

Example #30

Source File: GroupingTupleTranslationTest.java From Flink-CEPplus with Apache License 2.0

5 votes

@Test
public void testCustomPartitioningTupleGroupReduceSorted2() {
	try {
		ExecutionEnvironment env = ExecutionEnvironment.getExecutionEnvironment();
		
		DataSet<Tuple4<Integer,Integer,Integer, Integer>> data = env.fromElements(new Tuple4<Integer,Integer,Integer,Integer>(0, 0, 0, 0))
				.rebalance().setParallelism(4);
		
		data.groupBy(0).withPartitioner(new TestPartitionerInt())
			.sortGroup(1, Order.ASCENDING)
			.sortGroup(2, Order.DESCENDING)
			.reduceGroup(new IdentityGroupReducerCombinable<Tuple4<Integer,Integer,Integer,Integer>>())
			.output(new DiscardingOutputFormat<Tuple4<Integer, Integer, 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());
	}
}