org.apache.flink.optimizer.testfunctions.DummyCoGroupFunction Java Examples
The following examples show how to use
org.apache.flink.optimizer.testfunctions.DummyCoGroupFunction.
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Example #1
| Source File: CoGroupCustomPartitioningTest.java From Flink-CEPplus with Apache License 2.0 | 5 votes |
|
@Test
public void testCoGroupWithTuples() {
try {
final Partitioner<Long> partitioner = new TestPartitionerLong();
ExecutionEnvironment env = ExecutionEnvironment.getExecutionEnvironment();
DataSet<Tuple2<Long, Long>> input1 = env.fromElements(new Tuple2<Long, Long>(0L, 0L));
DataSet<Tuple3<Long, Long, Long>> input2 = env.fromElements(new Tuple3<Long, Long, Long>(0L, 0L, 0L));
input1
.coGroup(input2)
.where(1).equalTo(0)
.withPartitioner(partitioner)
.with(new DummyCoGroupFunction<Tuple2<Long, Long>, Tuple3<Long, Long, Long>>())
.output(new DiscardingOutputFormat<Tuple2<Tuple2<Long, Long>, Tuple3<Long, Long, Long>>>());
Plan p = env.createProgramPlan();
OptimizedPlan op = compileNoStats(p);
SinkPlanNode sink = op.getDataSinks().iterator().next();
DualInputPlanNode join = (DualInputPlanNode) sink.getInput().getSource();
assertEquals(ShipStrategyType.PARTITION_CUSTOM, join.getInput1().getShipStrategy());
assertEquals(ShipStrategyType.PARTITION_CUSTOM, join.getInput2().getShipStrategy());
assertEquals(partitioner, join.getInput1().getPartitioner());
assertEquals(partitioner, join.getInput2().getPartitioner());
}
catch (Exception e) {
e.printStackTrace();
fail(e.getMessage());
}
}
Example #2
| Source File: CoGroupCustomPartitioningTest.java From Flink-CEPplus with Apache License 2.0 | 5 votes |
|
@Test
public void testCoGroupWithPojos() {
try {
final Partitioner<Integer> partitioner = new TestPartitionerInt();
ExecutionEnvironment env = ExecutionEnvironment.getExecutionEnvironment();
DataSet<Pojo2> input1 = env.fromElements(new Pojo2());
DataSet<Pojo3> input2 = env.fromElements(new Pojo3());
input1
.coGroup(input2)
.where("b").equalTo("a")
.withPartitioner(partitioner)
.with(new DummyCoGroupFunction<Pojo2, Pojo3>())
.output(new DiscardingOutputFormat<Tuple2<Pojo2, Pojo3>>());
Plan p = env.createProgramPlan();
OptimizedPlan op = compileNoStats(p);
SinkPlanNode sink = op.getDataSinks().iterator().next();
DualInputPlanNode join = (DualInputPlanNode) sink.getInput().getSource();
assertEquals(ShipStrategyType.PARTITION_CUSTOM, join.getInput1().getShipStrategy());
assertEquals(ShipStrategyType.PARTITION_CUSTOM, join.getInput2().getShipStrategy());
assertEquals(partitioner, join.getInput1().getPartitioner());
assertEquals(partitioner, join.getInput2().getPartitioner());
}
catch (Exception e) {
e.printStackTrace();
fail(e.getMessage());
}
}
Example #3
| Source File: CoGroupCustomPartitioningTest.java From Flink-CEPplus with Apache License 2.0 | 5 votes |
|
@Test
public void testCoGroupWithKeySelectors() {
try {
final Partitioner<Integer> partitioner = new TestPartitionerInt();
ExecutionEnvironment env = ExecutionEnvironment.getExecutionEnvironment();
DataSet<Pojo2> input1 = env.fromElements(new Pojo2());
DataSet<Pojo3> input2 = env.fromElements(new Pojo3());
input1
.coGroup(input2)
.where(new Pojo2KeySelector()).equalTo(new Pojo3KeySelector())
.withPartitioner(partitioner)
.with(new DummyCoGroupFunction<Pojo2, Pojo3>())
.output(new DiscardingOutputFormat<Tuple2<Pojo2, Pojo3>>());
Plan p = env.createProgramPlan();
OptimizedPlan op = compileNoStats(p);
SinkPlanNode sink = op.getDataSinks().iterator().next();
DualInputPlanNode join = (DualInputPlanNode) sink.getInput().getSource();
assertEquals(ShipStrategyType.PARTITION_CUSTOM, join.getInput1().getShipStrategy());
assertEquals(ShipStrategyType.PARTITION_CUSTOM, join.getInput2().getShipStrategy());
assertEquals(partitioner, join.getInput1().getPartitioner());
assertEquals(partitioner, join.getInput2().getPartitioner());
}
catch (Exception e) {
e.printStackTrace();
fail(e.getMessage());
}
}
Example #4
| Source File: CoGroupCustomPartitioningTest.java From flink with Apache License 2.0 | 5 votes |
|
@Test
public void testCoGroupWithTuples() {
try {
final Partitioner<Long> partitioner = new TestPartitionerLong();
ExecutionEnvironment env = ExecutionEnvironment.getExecutionEnvironment();
DataSet<Tuple2<Long, Long>> input1 = env.fromElements(new Tuple2<Long, Long>(0L, 0L));
DataSet<Tuple3<Long, Long, Long>> input2 = env.fromElements(new Tuple3<Long, Long, Long>(0L, 0L, 0L));
input1
.coGroup(input2)
.where(1).equalTo(0)
.withPartitioner(partitioner)
.with(new DummyCoGroupFunction<Tuple2<Long, Long>, Tuple3<Long, Long, Long>>())
.output(new DiscardingOutputFormat<Tuple2<Tuple2<Long, Long>, Tuple3<Long, Long, Long>>>());
Plan p = env.createProgramPlan();
OptimizedPlan op = compileNoStats(p);
SinkPlanNode sink = op.getDataSinks().iterator().next();
DualInputPlanNode join = (DualInputPlanNode) sink.getInput().getSource();
assertEquals(ShipStrategyType.PARTITION_CUSTOM, join.getInput1().getShipStrategy());
assertEquals(ShipStrategyType.PARTITION_CUSTOM, join.getInput2().getShipStrategy());
assertEquals(partitioner, join.getInput1().getPartitioner());
assertEquals(partitioner, join.getInput2().getPartitioner());
}
catch (Exception e) {
e.printStackTrace();
fail(e.getMessage());
}
}
Example #5
| Source File: CoGroupCustomPartitioningTest.java From flink with Apache License 2.0 | 5 votes |
|
@Test
public void testCoGroupWithPojos() {
try {
final Partitioner<Integer> partitioner = new TestPartitionerInt();
ExecutionEnvironment env = ExecutionEnvironment.getExecutionEnvironment();
DataSet<Pojo2> input1 = env.fromElements(new Pojo2());
DataSet<Pojo3> input2 = env.fromElements(new Pojo3());
input1
.coGroup(input2)
.where("b").equalTo("a")
.withPartitioner(partitioner)
.with(new DummyCoGroupFunction<Pojo2, Pojo3>())
.output(new DiscardingOutputFormat<Tuple2<Pojo2, Pojo3>>());
Plan p = env.createProgramPlan();
OptimizedPlan op = compileNoStats(p);
SinkPlanNode sink = op.getDataSinks().iterator().next();
DualInputPlanNode join = (DualInputPlanNode) sink.getInput().getSource();
assertEquals(ShipStrategyType.PARTITION_CUSTOM, join.getInput1().getShipStrategy());
assertEquals(ShipStrategyType.PARTITION_CUSTOM, join.getInput2().getShipStrategy());
assertEquals(partitioner, join.getInput1().getPartitioner());
assertEquals(partitioner, join.getInput2().getPartitioner());
}
catch (Exception e) {
e.printStackTrace();
fail(e.getMessage());
}
}
Example #6
| Source File: CoGroupCustomPartitioningTest.java From flink with Apache License 2.0 | 5 votes |
|
@Test
public void testCoGroupWithKeySelectors() {
try {
final Partitioner<Integer> partitioner = new TestPartitionerInt();
ExecutionEnvironment env = ExecutionEnvironment.getExecutionEnvironment();
DataSet<Pojo2> input1 = env.fromElements(new Pojo2());
DataSet<Pojo3> input2 = env.fromElements(new Pojo3());
input1
.coGroup(input2)
.where(new Pojo2KeySelector()).equalTo(new Pojo3KeySelector())
.withPartitioner(partitioner)
.with(new DummyCoGroupFunction<Pojo2, Pojo3>())
.output(new DiscardingOutputFormat<Tuple2<Pojo2, Pojo3>>());
Plan p = env.createProgramPlan();
OptimizedPlan op = compileNoStats(p);
SinkPlanNode sink = op.getDataSinks().iterator().next();
DualInputPlanNode join = (DualInputPlanNode) sink.getInput().getSource();
assertEquals(ShipStrategyType.PARTITION_CUSTOM, join.getInput1().getShipStrategy());
assertEquals(ShipStrategyType.PARTITION_CUSTOM, join.getInput2().getShipStrategy());
assertEquals(partitioner, join.getInput1().getPartitioner());
assertEquals(partitioner, join.getInput2().getPartitioner());
}
catch (Exception e) {
e.printStackTrace();
fail(e.getMessage());
}
}
Example #7
| Source File: CoGroupCustomPartitioningTest.java From flink with Apache License 2.0 | 5 votes |
|
@Test
public void testCoGroupWithTuples() {
try {
final Partitioner<Long> partitioner = new TestPartitionerLong();
ExecutionEnvironment env = ExecutionEnvironment.getExecutionEnvironment();
DataSet<Tuple2<Long, Long>> input1 = env.fromElements(new Tuple2<Long, Long>(0L, 0L));
DataSet<Tuple3<Long, Long, Long>> input2 = env.fromElements(new Tuple3<Long, Long, Long>(0L, 0L, 0L));
input1
.coGroup(input2)
.where(1).equalTo(0)
.withPartitioner(partitioner)
.with(new DummyCoGroupFunction<Tuple2<Long, Long>, Tuple3<Long, Long, Long>>())
.output(new DiscardingOutputFormat<Tuple2<Tuple2<Long, Long>, Tuple3<Long, Long, Long>>>());
Plan p = env.createProgramPlan();
OptimizedPlan op = compileNoStats(p);
SinkPlanNode sink = op.getDataSinks().iterator().next();
DualInputPlanNode join = (DualInputPlanNode) sink.getInput().getSource();
assertEquals(ShipStrategyType.PARTITION_CUSTOM, join.getInput1().getShipStrategy());
assertEquals(ShipStrategyType.PARTITION_CUSTOM, join.getInput2().getShipStrategy());
assertEquals(partitioner, join.getInput1().getPartitioner());
assertEquals(partitioner, join.getInput2().getPartitioner());
}
catch (Exception e) {
e.printStackTrace();
fail(e.getMessage());
}
}
Example #8
| Source File: CoGroupCustomPartitioningTest.java From flink with Apache License 2.0 | 5 votes |
|
@Test
public void testCoGroupWithPojos() {
try {
final Partitioner<Integer> partitioner = new TestPartitionerInt();
ExecutionEnvironment env = ExecutionEnvironment.getExecutionEnvironment();
DataSet<Pojo2> input1 = env.fromElements(new Pojo2());
DataSet<Pojo3> input2 = env.fromElements(new Pojo3());
input1
.coGroup(input2)
.where("b").equalTo("a")
.withPartitioner(partitioner)
.with(new DummyCoGroupFunction<Pojo2, Pojo3>())
.output(new DiscardingOutputFormat<Tuple2<Pojo2, Pojo3>>());
Plan p = env.createProgramPlan();
OptimizedPlan op = compileNoStats(p);
SinkPlanNode sink = op.getDataSinks().iterator().next();
DualInputPlanNode join = (DualInputPlanNode) sink.getInput().getSource();
assertEquals(ShipStrategyType.PARTITION_CUSTOM, join.getInput1().getShipStrategy());
assertEquals(ShipStrategyType.PARTITION_CUSTOM, join.getInput2().getShipStrategy());
assertEquals(partitioner, join.getInput1().getPartitioner());
assertEquals(partitioner, join.getInput2().getPartitioner());
}
catch (Exception e) {
e.printStackTrace();
fail(e.getMessage());
}
}
Example #9
| Source File: CoGroupCustomPartitioningTest.java From flink with Apache License 2.0 | 5 votes |
|
@Test
public void testCoGroupWithKeySelectors() {
try {
final Partitioner<Integer> partitioner = new TestPartitionerInt();
ExecutionEnvironment env = ExecutionEnvironment.getExecutionEnvironment();
DataSet<Pojo2> input1 = env.fromElements(new Pojo2());
DataSet<Pojo3> input2 = env.fromElements(new Pojo3());
input1
.coGroup(input2)
.where(new Pojo2KeySelector()).equalTo(new Pojo3KeySelector())
.withPartitioner(partitioner)
.with(new DummyCoGroupFunction<Pojo2, Pojo3>())
.output(new DiscardingOutputFormat<Tuple2<Pojo2, Pojo3>>());
Plan p = env.createProgramPlan();
OptimizedPlan op = compileNoStats(p);
SinkPlanNode sink = op.getDataSinks().iterator().next();
DualInputPlanNode join = (DualInputPlanNode) sink.getInput().getSource();
assertEquals(ShipStrategyType.PARTITION_CUSTOM, join.getInput1().getShipStrategy());
assertEquals(ShipStrategyType.PARTITION_CUSTOM, join.getInput2().getShipStrategy());
assertEquals(partitioner, join.getInput1().getPartitioner());
assertEquals(partitioner, join.getInput2().getPartitioner());
}
catch (Exception e) {
e.printStackTrace();
fail(e.getMessage());
}
}
Example #10
| Source File: BranchingPlansCompilerTest.java From Flink-CEPplus with Apache License 2.0 | 4 votes |
|
/**
* <pre>
* SINK
* |
* COGROUP
* +---/ \----+
* / \
* / MATCH10
* / | \
* / | MATCH9
* MATCH5 | | \
* | \ | | MATCH8
* | MATCH4 | | | \
* | | \ | | | MATCH7
* | | MATCH3 | | | | \
* | | | \ | | | | MATCH6
* | | | MATCH2 | | | | | |
* | | | | \ +--+--+--+--+--+
* | | | | MATCH1 MAP
* \ | | | | | /-----------/
* (DATA SOURCE ONE)
* </pre>
*/
@Test
public void testBranchingSourceMultipleTimes() {
try {
ExecutionEnvironment env = ExecutionEnvironment.getExecutionEnvironment();
env.setParallelism(DEFAULT_PARALLELISM);
DataSet<Tuple2<Long, Long>> source = env.generateSequence(1, 10000000)
.map(new Duplicator<Long>());
DataSet<Tuple2<Long, Long>> joined1 = source.join(source).where(0).equalTo(0)
.with(new DummyFlatJoinFunction<Tuple2<Long, Long>>());
DataSet<Tuple2<Long, Long>> joined2 = source.join(joined1).where(0).equalTo(0)
.with(new DummyFlatJoinFunction<Tuple2<Long, Long>>());
DataSet<Tuple2<Long, Long>> joined3 = source.join(joined2).where(0).equalTo(0)
.with(new DummyFlatJoinFunction<Tuple2<Long, Long>>());
DataSet<Tuple2<Long, Long>> joined4 = source.join(joined3).where(0).equalTo(0)
.with(new DummyFlatJoinFunction<Tuple2<Long, Long>>());
DataSet<Tuple2<Long, Long>> joined5 = source.join(joined4).where(0).equalTo(0)
.with(new DummyFlatJoinFunction<Tuple2<Long, Long>>());
DataSet<Tuple2<Long, Long>> mapped = source.map(
new MapFunction<Tuple2<Long, Long>, Tuple2<Long, Long>>() {
@Override
public Tuple2<Long, Long> map(Tuple2<Long, Long> value) {
return null;
}
});
DataSet<Tuple2<Long, Long>> joined6 = mapped.join(mapped).where(0).equalTo(0)
.with(new DummyFlatJoinFunction<Tuple2<Long, Long>>());
DataSet<Tuple2<Long, Long>> joined7 = mapped.join(joined6).where(0).equalTo(0)
.with(new DummyFlatJoinFunction<Tuple2<Long, Long>>());
DataSet<Tuple2<Long, Long>> joined8 = mapped.join(joined7).where(0).equalTo(0)
.with(new DummyFlatJoinFunction<Tuple2<Long, Long>>());
DataSet<Tuple2<Long, Long>> joined9 = mapped.join(joined8).where(0).equalTo(0)
.with(new DummyFlatJoinFunction<Tuple2<Long, Long>>());
DataSet<Tuple2<Long, Long>> joined10 = mapped.join(joined9).where(0).equalTo(0)
.with(new DummyFlatJoinFunction<Tuple2<Long, Long>>());
joined5.coGroup(joined10)
.where(1).equalTo(1)
.with(new DummyCoGroupFunction<Tuple2<Long, Long>, Tuple2<Long, Long>>())
.output(new DiscardingOutputFormat<Tuple2<Tuple2<Long, Long>, Tuple2<Long, Long>>>());
Plan plan = env.createProgramPlan();
OptimizedPlan oPlan = compileNoStats(plan);
new JobGraphGenerator().compileJobGraph(oPlan);
}
catch (Exception e) {
e.printStackTrace();
fail(e.getMessage());
}
}
Example #11
| Source File: BranchingPlansCompilerTest.java From flink with Apache License 2.0 | 4 votes |
|
/**
* <pre>
* SINK
* |
* COGROUP
* +---/ \----+
* / \
* / MATCH10
* / | \
* / | MATCH9
* MATCH5 | | \
* | \ | | MATCH8
* | MATCH4 | | | \
* | | \ | | | MATCH7
* | | MATCH3 | | | | \
* | | | \ | | | | MATCH6
* | | | MATCH2 | | | | | |
* | | | | \ +--+--+--+--+--+
* | | | | MATCH1 MAP
* \ | | | | | /-----------/
* (DATA SOURCE ONE)
* </pre>
*/
@Test
public void testBranchingSourceMultipleTimes() {
try {
ExecutionEnvironment env = ExecutionEnvironment.getExecutionEnvironment();
env.setParallelism(DEFAULT_PARALLELISM);
DataSet<Tuple2<Long, Long>> source = env.generateSequence(1, 10000000)
.map(new Duplicator<Long>());
DataSet<Tuple2<Long, Long>> joined1 = source.join(source).where(0).equalTo(0)
.with(new DummyFlatJoinFunction<Tuple2<Long, Long>>());
DataSet<Tuple2<Long, Long>> joined2 = source.join(joined1).where(0).equalTo(0)
.with(new DummyFlatJoinFunction<Tuple2<Long, Long>>());
DataSet<Tuple2<Long, Long>> joined3 = source.join(joined2).where(0).equalTo(0)
.with(new DummyFlatJoinFunction<Tuple2<Long, Long>>());
DataSet<Tuple2<Long, Long>> joined4 = source.join(joined3).where(0).equalTo(0)
.with(new DummyFlatJoinFunction<Tuple2<Long, Long>>());
DataSet<Tuple2<Long, Long>> joined5 = source.join(joined4).where(0).equalTo(0)
.with(new DummyFlatJoinFunction<Tuple2<Long, Long>>());
DataSet<Tuple2<Long, Long>> mapped = source.map(
new MapFunction<Tuple2<Long, Long>, Tuple2<Long, Long>>() {
@Override
public Tuple2<Long, Long> map(Tuple2<Long, Long> value) {
return null;
}
});
DataSet<Tuple2<Long, Long>> joined6 = mapped.join(mapped).where(0).equalTo(0)
.with(new DummyFlatJoinFunction<Tuple2<Long, Long>>());
DataSet<Tuple2<Long, Long>> joined7 = mapped.join(joined6).where(0).equalTo(0)
.with(new DummyFlatJoinFunction<Tuple2<Long, Long>>());
DataSet<Tuple2<Long, Long>> joined8 = mapped.join(joined7).where(0).equalTo(0)
.with(new DummyFlatJoinFunction<Tuple2<Long, Long>>());
DataSet<Tuple2<Long, Long>> joined9 = mapped.join(joined8).where(0).equalTo(0)
.with(new DummyFlatJoinFunction<Tuple2<Long, Long>>());
DataSet<Tuple2<Long, Long>> joined10 = mapped.join(joined9).where(0).equalTo(0)
.with(new DummyFlatJoinFunction<Tuple2<Long, Long>>());
joined5.coGroup(joined10)
.where(1).equalTo(1)
.with(new DummyCoGroupFunction<Tuple2<Long, Long>, Tuple2<Long, Long>>())
.output(new DiscardingOutputFormat<Tuple2<Tuple2<Long, Long>, Tuple2<Long, Long>>>());
Plan plan = env.createProgramPlan();
OptimizedPlan oPlan = compileNoStats(plan);
new JobGraphGenerator().compileJobGraph(oPlan);
}
catch (Exception e) {
e.printStackTrace();
fail(e.getMessage());
}
}
Example #12
| Source File: BranchingPlansCompilerTest.java From flink with Apache License 2.0 | 4 votes |
|
/**
* <pre>
* SINK
* |
* COGROUP
* +---/ \----+
* / \
* / MATCH10
* / | \
* / | MATCH9
* MATCH5 | | \
* | \ | | MATCH8
* | MATCH4 | | | \
* | | \ | | | MATCH7
* | | MATCH3 | | | | \
* | | | \ | | | | MATCH6
* | | | MATCH2 | | | | | |
* | | | | \ +--+--+--+--+--+
* | | | | MATCH1 MAP
* \ | | | | | /-----------/
* (DATA SOURCE ONE)
* </pre>
*/
@Test
public void testBranchingSourceMultipleTimes() {
try {
ExecutionEnvironment env = ExecutionEnvironment.getExecutionEnvironment();
env.setParallelism(DEFAULT_PARALLELISM);
DataSet<Tuple2<Long, Long>> source = env.generateSequence(1, 10000000)
.map(new Duplicator<Long>());
DataSet<Tuple2<Long, Long>> joined1 = source.join(source).where(0).equalTo(0)
.with(new DummyFlatJoinFunction<Tuple2<Long, Long>>());
DataSet<Tuple2<Long, Long>> joined2 = source.join(joined1).where(0).equalTo(0)
.with(new DummyFlatJoinFunction<Tuple2<Long, Long>>());
DataSet<Tuple2<Long, Long>> joined3 = source.join(joined2).where(0).equalTo(0)
.with(new DummyFlatJoinFunction<Tuple2<Long, Long>>());
DataSet<Tuple2<Long, Long>> joined4 = source.join(joined3).where(0).equalTo(0)
.with(new DummyFlatJoinFunction<Tuple2<Long, Long>>());
DataSet<Tuple2<Long, Long>> joined5 = source.join(joined4).where(0).equalTo(0)
.with(new DummyFlatJoinFunction<Tuple2<Long, Long>>());
DataSet<Tuple2<Long, Long>> mapped = source.map(
new MapFunction<Tuple2<Long, Long>, Tuple2<Long, Long>>() {
@Override
public Tuple2<Long, Long> map(Tuple2<Long, Long> value) {
return null;
}
});
DataSet<Tuple2<Long, Long>> joined6 = mapped.join(mapped).where(0).equalTo(0)
.with(new DummyFlatJoinFunction<Tuple2<Long, Long>>());
DataSet<Tuple2<Long, Long>> joined7 = mapped.join(joined6).where(0).equalTo(0)
.with(new DummyFlatJoinFunction<Tuple2<Long, Long>>());
DataSet<Tuple2<Long, Long>> joined8 = mapped.join(joined7).where(0).equalTo(0)
.with(new DummyFlatJoinFunction<Tuple2<Long, Long>>());
DataSet<Tuple2<Long, Long>> joined9 = mapped.join(joined8).where(0).equalTo(0)
.with(new DummyFlatJoinFunction<Tuple2<Long, Long>>());
DataSet<Tuple2<Long, Long>> joined10 = mapped.join(joined9).where(0).equalTo(0)
.with(new DummyFlatJoinFunction<Tuple2<Long, Long>>());
joined5.coGroup(joined10)
.where(1).equalTo(1)
.with(new DummyCoGroupFunction<Tuple2<Long, Long>, Tuple2<Long, Long>>())
.output(new DiscardingOutputFormat<Tuple2<Tuple2<Long, Long>, Tuple2<Long, Long>>>());
Plan plan = env.createProgramPlan();
OptimizedPlan oPlan = compileNoStats(plan);
new JobGraphGenerator().compileJobGraph(oPlan);
}
catch (Exception e) {
e.printStackTrace();
fail(e.getMessage());
}
}
