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

The following examples show how to use org.apache.flink.optimizer.testfunctions.SelectOneReducer. 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: GroupingPojoTranslationTest.java    From Flink-CEPplus with Apache License 2.0 5 votes vote down vote up 
@Test
public void testCustomPartitioningTupleReduce() {
	try {
		ExecutionEnvironment env = ExecutionEnvironment.getExecutionEnvironment();

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

		data.groupBy("a").withPartitioner(new TestPartitionerInt())
				.reduce(new SelectOneReducer<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 #2
Source File: PipelineBreakerTest.java    From flink with Apache License 2.0 5 votes vote down vote up 
@Test
public void testPipelineBreakerBroadcastedAllReduce() {
	try {
		ExecutionEnvironment env = ExecutionEnvironment.getExecutionEnvironment();
		env.getConfig().setExecutionMode(ExecutionMode.PIPELINED);
		env.setParallelism(64);
		
		DataSet<Long> sourceWithMapper = env.generateSequence(1, 10).map(new IdentityMapper<Long>());
		
		DataSet<Long> bcInput1 = sourceWithMapper
									.map(new IdentityMapper<Long>())
									.reduce(new SelectOneReducer<Long>());
		DataSet<Long> bcInput2 = env.generateSequence(1, 10);
		
		DataSet<Long> result = sourceWithMapper
				.map(new IdentityMapper<Long>())
						.withBroadcastSet(bcInput1, "bc1")
						.withBroadcastSet(bcInput2, "bc2");
		
		result.output(new DiscardingOutputFormat<Long>());
		
		Plan p = env.createProgramPlan();
		OptimizedPlan op = compileNoStats(p);
		
		SinkPlanNode sink = op.getDataSinks().iterator().next();
		SingleInputPlanNode mapper = (SingleInputPlanNode) sink.getInput().getSource();

		assertEquals(TempMode.NONE, mapper.getInput().getTempMode());
		assertEquals(DataExchangeMode.BATCH, mapper.getInput().getDataExchangeMode());
	}
	catch (Exception e) {
		e.printStackTrace();
		fail(e.getMessage());
	}
}
Example #3
Source File: BranchingPlansCompilerTest.java    From flink with Apache License 2.0 5 votes vote down vote up 
/**
 * <pre>
 *             +---------Iteration-------+
 *             |                         |
 *    /--map--< >----\                   |
 *   /         |      \         /-------< >---sink
 * src-map     |     join------/         |
 *   \         |      /                  |
 *    \        +-----/-------------------+
 *     \            /
 *      \--reduce--/
 * </pre>
 */
@Test
public void testIterationWithStaticInput() {
	try {
		ExecutionEnvironment env = ExecutionEnvironment.getExecutionEnvironment();
		env.setParallelism(100);

		DataSet<Long> source = env.generateSequence(1, 1000000);

		DataSet<Long> mapped = source.map(new IdentityMapper<Long>());

		DataSet<Long> reduced = source.groupBy(new IdentityKeyExtractor<Long>()).reduce(new SelectOneReducer<Long>());

		IterativeDataSet<Long> iteration = mapped.iterate(10);
		iteration.closeWith(
				iteration.join(reduced)
						.where(new IdentityKeyExtractor<Long>())
						.equalTo(new IdentityKeyExtractor<Long>())
						.with(new DummyFlatJoinFunction<Long>()))
				.output(new DiscardingOutputFormat<Long>());

		compileNoStats(env.createProgramPlan());
	}
	catch(Exception e){
		e.printStackTrace();
		fail(e.getMessage());
	}
}
Example #4
Source File: GroupingKeySelectorTranslationTest.java    From flink with Apache License 2.0 5 votes vote down vote up 
@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 SelectOneReducer<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 #5
Source File: GroupingPojoTranslationTest.java    From flink with Apache License 2.0 5 votes vote down vote up 
@Test
public void testCustomPartitioningTupleReduce() {
	try {
		ExecutionEnvironment env = ExecutionEnvironment.getExecutionEnvironment();

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

		data.groupBy("a").withPartitioner(new TestPartitionerInt())
				.reduce(new SelectOneReducer<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 #6
Source File: GroupingTupleTranslationTest.java    From flink with Apache License 2.0 5 votes vote down vote up 
@Test
public void testCustomPartitioningTupleReduce() {
	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())
			.reduce(new SelectOneReducer<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: PipelineBreakerTest.java    From flink with Apache License 2.0 5 votes vote down vote up 
@Test
public void testPipelineBreakerBroadcastedAllReduce() {
	try {
		ExecutionEnvironment env = ExecutionEnvironment.getExecutionEnvironment();
		env.getConfig().setExecutionMode(ExecutionMode.PIPELINED);
		env.setParallelism(64);
		
		DataSet<Long> sourceWithMapper = env.generateSequence(1, 10).map(new IdentityMapper<Long>());
		
		DataSet<Long> bcInput1 = sourceWithMapper
									.map(new IdentityMapper<Long>())
									.reduce(new SelectOneReducer<Long>());
		DataSet<Long> bcInput2 = env.generateSequence(1, 10);
		
		DataSet<Long> result = sourceWithMapper
				.map(new IdentityMapper<Long>())
						.withBroadcastSet(bcInput1, "bc1")
						.withBroadcastSet(bcInput2, "bc2");
		
		result.output(new DiscardingOutputFormat<Long>());
		
		Plan p = env.createProgramPlan();
		OptimizedPlan op = compileNoStats(p);
		
		SinkPlanNode sink = op.getDataSinks().iterator().next();
		SingleInputPlanNode mapper = (SingleInputPlanNode) sink.getInput().getSource();

		assertEquals(TempMode.NONE, mapper.getInput().getTempMode());
		assertEquals(DataExchangeMode.BATCH, mapper.getInput().getDataExchangeMode());
	}
	catch (Exception e) {
		e.printStackTrace();
		fail(e.getMessage());
	}
}
Example #8
Source File: BranchingPlansCompilerTest.java    From flink with Apache License 2.0 5 votes vote down vote up 
/**
 * <pre>
 *             +---------Iteration-------+
 *             |                         |
 *    /--map--< >----\                   |
 *   /         |      \         /-------< >---sink
 * src-map     |     join------/         |
 *   \         |      /                  |
 *    \        +-----/-------------------+
 *     \            /
 *      \--reduce--/
 * </pre>
 */
@Test
public void testIterationWithStaticInput() {
	try {
		ExecutionEnvironment env = ExecutionEnvironment.getExecutionEnvironment();
		env.setParallelism(100);

		DataSet<Long> source = env.generateSequence(1, 1000000);

		DataSet<Long> mapped = source.map(new IdentityMapper<Long>());

		DataSet<Long> reduced = source.groupBy(new IdentityKeyExtractor<Long>()).reduce(new SelectOneReducer<Long>());

		IterativeDataSet<Long> iteration = mapped.iterate(10);
		iteration.closeWith(
				iteration.join(reduced)
						.where(new IdentityKeyExtractor<Long>())
						.equalTo(new IdentityKeyExtractor<Long>())
						.with(new DummyFlatJoinFunction<Long>()))
				.output(new DiscardingOutputFormat<Long>());

		compileNoStats(env.createProgramPlan());
	}
	catch(Exception e){
		e.printStackTrace();
		fail(e.getMessage());
	}
}
Example #9
Source File: GroupingKeySelectorTranslationTest.java    From flink with Apache License 2.0 5 votes vote down vote up 
@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 SelectOneReducer<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 #10
Source File: GroupingPojoTranslationTest.java    From flink with Apache License 2.0 5 votes vote down vote up 
@Test
public void testCustomPartitioningTupleReduce() {
	try {
		ExecutionEnvironment env = ExecutionEnvironment.getExecutionEnvironment();

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

		data.groupBy("a").withPartitioner(new TestPartitionerInt())
				.reduce(new SelectOneReducer<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 #11
Source File: GroupingTupleTranslationTest.java    From flink with Apache License 2.0 5 votes vote down vote up 
@Test
public void testCustomPartitioningTupleReduce() {
	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())
			.reduce(new SelectOneReducer<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 #12
Source File: PipelineBreakerTest.java    From Flink-CEPplus with Apache License 2.0 5 votes vote down vote up 
@Test
public void testPipelineBreakerBroadcastedAllReduce() {
	try {
		ExecutionEnvironment env = ExecutionEnvironment.getExecutionEnvironment();
		env.getConfig().setExecutionMode(ExecutionMode.PIPELINED);
		env.setParallelism(64);
		
		DataSet<Long> sourceWithMapper = env.generateSequence(1, 10).map(new IdentityMapper<Long>());
		
		DataSet<Long> bcInput1 = sourceWithMapper
									.map(new IdentityMapper<Long>())
									.reduce(new SelectOneReducer<Long>());
		DataSet<Long> bcInput2 = env.generateSequence(1, 10);
		
		DataSet<Long> result = sourceWithMapper
				.map(new IdentityMapper<Long>())
						.withBroadcastSet(bcInput1, "bc1")
						.withBroadcastSet(bcInput2, "bc2");
		
		result.output(new DiscardingOutputFormat<Long>());
		
		Plan p = env.createProgramPlan();
		OptimizedPlan op = compileNoStats(p);
		
		SinkPlanNode sink = op.getDataSinks().iterator().next();
		SingleInputPlanNode mapper = (SingleInputPlanNode) sink.getInput().getSource();

		assertEquals(TempMode.NONE, mapper.getInput().getTempMode());
		assertEquals(DataExchangeMode.BATCH, mapper.getInput().getDataExchangeMode());
	}
	catch (Exception e) {
		e.printStackTrace();
		fail(e.getMessage());
	}
}
Example #13
Source File: BranchingPlansCompilerTest.java    From Flink-CEPplus with Apache License 2.0 5 votes vote down vote up 
/**
 * <pre>
 *             +---------Iteration-------+
 *             |                         |
 *    /--map--< >----\                   |
 *   /         |      \         /-------< >---sink
 * src-map     |     join------/         |
 *   \         |      /                  |
 *    \        +-----/-------------------+
 *     \            /
 *      \--reduce--/
 * </pre>
 */
@Test
public void testIterationWithStaticInput() {
	try {
		ExecutionEnvironment env = ExecutionEnvironment.getExecutionEnvironment();
		env.setParallelism(100);

		DataSet<Long> source = env.generateSequence(1, 1000000);

		DataSet<Long> mapped = source.map(new IdentityMapper<Long>());

		DataSet<Long> reduced = source.groupBy(new IdentityKeyExtractor<Long>()).reduce(new SelectOneReducer<Long>());

		IterativeDataSet<Long> iteration = mapped.iterate(10);
		iteration.closeWith(
				iteration.join(reduced)
						.where(new IdentityKeyExtractor<Long>())
						.equalTo(new IdentityKeyExtractor<Long>())
						.with(new DummyFlatJoinFunction<Long>()))
				.output(new DiscardingOutputFormat<Long>());

		compileNoStats(env.createProgramPlan());
	}
	catch(Exception e){
		e.printStackTrace();
		fail(e.getMessage());
	}
}
Example #14
Source File: GroupingKeySelectorTranslationTest.java    From Flink-CEPplus with Apache License 2.0 5 votes vote down vote up 
@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 SelectOneReducer<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 #15
Source File: GroupingTupleTranslationTest.java    From Flink-CEPplus with Apache License 2.0 5 votes vote down vote up 
@Test
public void testCustomPartitioningTupleReduce() {
	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())
			.reduce(new SelectOneReducer<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 #16
Source File: PipelineBreakerTest.java    From flink with Apache License 2.0 4 votes vote down vote up 
/**
 * 
 * 
 * 
 * <pre>
 *                                +----------- ITERATION ---------+
 *                                |                               |
 *                               +--+                           +----+
 *  (source 1) ----------------->|PS| ------------ +        +-->|next|---> (sink)
 *                               +--+              | (BC)   |   +----+
 *                                |                V        |     |
 *  (source 2) --> (map) --+------|-----------> (MAPPER) ---+     |
 *                         |      |                ^              |
 *                         |      |                | (BC)         |
 *                         |      +----------------|--------------+
 *                         |                       |
 *                         +--(map) --> (reduce) --+
 * </pre>
 */
@Test
public void testPipelineBreakerBroadcastedPartialSolution() {
	try {
		ExecutionEnvironment env = ExecutionEnvironment.getExecutionEnvironment();
		env.getConfig().setExecutionMode(ExecutionMode.PIPELINED);
		env.setParallelism(64);
		
		DataSet<Long> initialSource = env.generateSequence(1, 10);
		IterativeDataSet<Long> iteration = initialSource.iterate(100);
		
		
		DataSet<Long> sourceWithMapper = env.generateSequence(1, 10).map(new IdentityMapper<Long>());
		
		DataSet<Long> bcInput1 = sourceWithMapper
									.map(new IdentityMapper<Long>())
									.reduce(new SelectOneReducer<Long>());
		
		DataSet<Long> result = sourceWithMapper
				.map(new IdentityMapper<Long>())
						.withBroadcastSet(iteration, "bc2")
						.withBroadcastSet(bcInput1, "bc1");
						
		
		iteration.closeWith(result).output(new DiscardingOutputFormat<Long>());
		
		Plan p = env.createProgramPlan();
		OptimizedPlan op = compileNoStats(p);
		
		SinkPlanNode sink = op.getDataSinks().iterator().next();
		BulkIterationPlanNode iterationPlanNode = (BulkIterationPlanNode) sink.getInput().getSource();
		SingleInputPlanNode mapper = (SingleInputPlanNode) iterationPlanNode.getRootOfStepFunction();
		
		assertEquals(TempMode.CACHED, mapper.getInput().getTempMode());
		assertEquals(DataExchangeMode.BATCH, mapper.getInput().getDataExchangeMode());
	}
	catch (Exception e) {
		e.printStackTrace();
		fail(e.getMessage());
	}
}
Example #17
Source File: PipelineBreakerTest.java    From Flink-CEPplus with Apache License 2.0 4 votes vote down vote up 
/**
 * 
 * 
 * 
 * <pre>
 *                                +----------- ITERATION ---------+
 *                                |                               |
 *                               +--+                           +----+
 *  (source 1) ----------------->|PS| ------------ +        +-->|next|---> (sink)
 *                               +--+              | (BC)   |   +----+
 *                                |                V        |     |
 *  (source 2) --> (map) --+------|-----------> (MAPPER) ---+     |
 *                         |      |                ^              |
 *                         |      |                | (BC)         |
 *                         |      +----------------|--------------+
 *                         |                       |
 *                         +--(map) --> (reduce) --+
 * </pre>
 */
@Test
public void testPipelineBreakerBroadcastedPartialSolution() {
	try {
		ExecutionEnvironment env = ExecutionEnvironment.getExecutionEnvironment();
		env.getConfig().setExecutionMode(ExecutionMode.PIPELINED);
		env.setParallelism(64);
		
		DataSet<Long> initialSource = env.generateSequence(1, 10);
		IterativeDataSet<Long> iteration = initialSource.iterate(100);
		
		
		DataSet<Long> sourceWithMapper = env.generateSequence(1, 10).map(new IdentityMapper<Long>());
		
		DataSet<Long> bcInput1 = sourceWithMapper
									.map(new IdentityMapper<Long>())
									.reduce(new SelectOneReducer<Long>());
		
		DataSet<Long> result = sourceWithMapper
				.map(new IdentityMapper<Long>())
						.withBroadcastSet(iteration, "bc2")
						.withBroadcastSet(bcInput1, "bc1");
						
		
		iteration.closeWith(result).output(new DiscardingOutputFormat<Long>());
		
		Plan p = env.createProgramPlan();
		OptimizedPlan op = compileNoStats(p);
		
		SinkPlanNode sink = op.getDataSinks().iterator().next();
		BulkIterationPlanNode iterationPlanNode = (BulkIterationPlanNode) sink.getInput().getSource();
		SingleInputPlanNode mapper = (SingleInputPlanNode) iterationPlanNode.getRootOfStepFunction();
		
		assertEquals(TempMode.CACHED, mapper.getInput().getTempMode());
		assertEquals(DataExchangeMode.BATCH, mapper.getInput().getDataExchangeMode());
	}
	catch (Exception e) {
		e.printStackTrace();
		fail(e.getMessage());
	}
}
Example #18
Source File: PipelineBreakerTest.java    From flink with Apache License 2.0 4 votes vote down vote up 
/**
 * 
 * 
 * 
 * <pre>
 *                                +----------- ITERATION ---------+
 *                                |                               |
 *                               +--+                           +----+
 *  (source 1) ----------------->|PS| ------------ +        +-->|next|---> (sink)
 *                               +--+              | (BC)   |   +----+
 *                                |                V        |     |
 *  (source 2) --> (map) --+------|-----------> (MAPPER) ---+     |
 *                         |      |                ^              |
 *                         |      |                | (BC)         |
 *                         |      +----------------|--------------+
 *                         |                       |
 *                         +--(map) --> (reduce) --+
 * </pre>
 */
@Test
public void testPipelineBreakerBroadcastedPartialSolution() {
	try {
		ExecutionEnvironment env = ExecutionEnvironment.getExecutionEnvironment();
		env.getConfig().setExecutionMode(ExecutionMode.PIPELINED);
		env.setParallelism(64);
		
		DataSet<Long> initialSource = env.generateSequence(1, 10);
		IterativeDataSet<Long> iteration = initialSource.iterate(100);
		
		
		DataSet<Long> sourceWithMapper = env.generateSequence(1, 10).map(new IdentityMapper<Long>());
		
		DataSet<Long> bcInput1 = sourceWithMapper
									.map(new IdentityMapper<Long>())
									.reduce(new SelectOneReducer<Long>());
		
		DataSet<Long> result = sourceWithMapper
				.map(new IdentityMapper<Long>())
						.withBroadcastSet(iteration, "bc2")
						.withBroadcastSet(bcInput1, "bc1");
						
		
		iteration.closeWith(result).output(new DiscardingOutputFormat<Long>());
		
		Plan p = env.createProgramPlan();
		OptimizedPlan op = compileNoStats(p);
		
		SinkPlanNode sink = op.getDataSinks().iterator().next();
		BulkIterationPlanNode iterationPlanNode = (BulkIterationPlanNode) sink.getInput().getSource();
		SingleInputPlanNode mapper = (SingleInputPlanNode) iterationPlanNode.getRootOfStepFunction();
		
		assertEquals(TempMode.CACHED, mapper.getInput().getTempMode());
		assertEquals(DataExchangeMode.BATCH, mapper.getInput().getDataExchangeMode());
	}
	catch (Exception e) {
		e.printStackTrace();
		fail(e.getMessage());
	}
}