Java Code Examples for org.apache.flink.streaming.api.functions.windowing.RichAllWindowFunction

The following examples show how to use org.apache.flink.streaming.api.functions.windowing.RichAllWindowFunction. These examples are extracted from open source projects. 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
@Test
public void testTumblingTimeWindow() {
	final int numElementsPerKey = 3000;
	final int windowSize = 100;
	final int numKeys = 1;

	try {
		StreamExecutionEnvironment env = StreamExecutionEnvironment.getExecutionEnvironment();
		env.setParallelism(PARALLELISM);
		env.setStreamTimeCharacteristic(TimeCharacteristic.EventTime);
		env.enableCheckpointing(100);
		env.setRestartStrategy(RestartStrategies.fixedDelayRestart(1, 0));
		env.getConfig().disableSysoutLogging();

		env
				.addSource(new FailingSource(new EventTimeWindowCheckpointingITCase.KeyedEventTimeGenerator(numKeys, windowSize), numElementsPerKey))
				.rebalance()
				.timeWindowAll(Time.of(windowSize, MILLISECONDS))
				.apply(new RichAllWindowFunction<Tuple2<Long, IntType>, Tuple4<Long, Long, Long, IntType>, TimeWindow>() {

					private boolean open = false;

					@Override
					public void open(Configuration parameters) {
						assertEquals(1, getRuntimeContext().getNumberOfParallelSubtasks());
						open = true;
					}

					@Override
					public void apply(
							TimeWindow window,
							Iterable<Tuple2<Long, IntType>> values,
							Collector<Tuple4<Long, Long, Long, IntType>> out) {

						// validate that the function has been opened properly
						assertTrue(open);

						int sum = 0;
						long key = -1;

						for (Tuple2<Long, IntType> value : values) {
							sum += value.f1.value;
							key = value.f0;
						}
						out.collect(new Tuple4<>(key, window.getStart(), window.getEnd(), new IntType(sum)));
					}
				})
			.addSink(new ValidatingSink<>(
				new EventTimeWindowCheckpointingITCase.SinkValidatorUpdateFun(numElementsPerKey),
				new EventTimeWindowCheckpointingITCase.SinkValidatorCheckFun(numKeys, numElementsPerKey, windowSize)))
			.setParallelism(1);

		env.execute("Tumbling Window Test");
	}
	catch (Exception e) {
		e.printStackTrace();
		fail(e.getMessage());
	}
}
 
Example 2
@Test
public void testSlidingTimeWindow() {
	final int numElementsPerKey = 3000;
	final int windowSize = 1000;
	final int windowSlide = 100;
	final int numKeys = 1;

	try {
		StreamExecutionEnvironment env = StreamExecutionEnvironment.getExecutionEnvironment();
		env.setParallelism(PARALLELISM);
		env.setStreamTimeCharacteristic(TimeCharacteristic.EventTime);
		env.enableCheckpointing(100);
		env.setRestartStrategy(RestartStrategies.fixedDelayRestart(1, 0));
		env.getConfig().disableSysoutLogging();

		env
			.addSource(new FailingSource(new EventTimeWindowCheckpointingITCase.KeyedEventTimeGenerator(numKeys, windowSlide), numElementsPerKey))
				.rebalance()
				.timeWindowAll(Time.of(windowSize, MILLISECONDS), Time.of(windowSlide, MILLISECONDS))
				.apply(new RichAllWindowFunction<Tuple2<Long, IntType>, Tuple4<Long, Long, Long, IntType>, TimeWindow>() {

					private boolean open = false;

					@Override
					public void open(Configuration parameters) {
						assertEquals(1, getRuntimeContext().getNumberOfParallelSubtasks());
						open = true;
					}

					@Override
					public void apply(
							TimeWindow window,
							Iterable<Tuple2<Long, IntType>> values,
							Collector<Tuple4<Long, Long, Long, IntType>> out) {

						// validate that the function has been opened properly
						assertTrue(open);

						int sum = 0;
						long key = -1;

						for (Tuple2<Long, IntType> value : values) {
							sum += value.f1.value;
							key = value.f0;
						}
						out.collect(new Tuple4<>(key, window.getStart(), window.getEnd(), new IntType(sum)));
					}
				})
			.addSink(new ValidatingSink<>(
				new EventTimeWindowCheckpointingITCase.SinkValidatorUpdateFun(numElementsPerKey),
				new EventTimeWindowCheckpointingITCase.SinkValidatorCheckFun(numKeys, numElementsPerKey, windowSlide)))
			.setParallelism(1);

		env.execute("Sliding Window Test");
	}
	catch (Exception e) {
		e.printStackTrace();
		fail(e.getMessage());
	}
}
 
Example 3
@Test
public void testPreAggregatedTumblingTimeWindow() {
	final int numElementsPerKey = 3000;
	final int windowSize = 100;
	final int numKeys = 1;

	try {
		StreamExecutionEnvironment env = StreamExecutionEnvironment.getExecutionEnvironment();
		env.setParallelism(PARALLELISM);
		env.setStreamTimeCharacteristic(TimeCharacteristic.EventTime);
		env.enableCheckpointing(100);
		env.setRestartStrategy(RestartStrategies.fixedDelayRestart(1, 0));
		env.getConfig().disableSysoutLogging();

		env
			.addSource(new FailingSource(new EventTimeWindowCheckpointingITCase.KeyedEventTimeGenerator(numKeys, windowSize), numElementsPerKey))
				.rebalance()
				.timeWindowAll(Time.of(windowSize, MILLISECONDS))
				.reduce(
						new ReduceFunction<Tuple2<Long, IntType>>() {

							@Override
							public Tuple2<Long, IntType> reduce(
									Tuple2<Long, IntType> a,
									Tuple2<Long, IntType> b) {

								return new Tuple2<>(a.f0, new IntType(a.f1.value + b.f1.value));
							}
						},
						new RichAllWindowFunction<Tuple2<Long, IntType>, Tuple4<Long, Long, Long, IntType>, TimeWindow>() {

					private boolean open = false;

					@Override
					public void open(Configuration parameters) {
						assertEquals(1, getRuntimeContext().getNumberOfParallelSubtasks());
						open = true;
					}

					@Override
					public void apply(
							TimeWindow window,
							Iterable<Tuple2<Long, IntType>> input,
							Collector<Tuple4<Long, Long, Long, IntType>> out) {

						// validate that the function has been opened properly
						assertTrue(open);

						for (Tuple2<Long, IntType> in: input) {
							out.collect(new Tuple4<>(in.f0,
									window.getStart(),
									window.getEnd(),
									in.f1));
						}
					}
				})
			.addSink(new ValidatingSink<>(
				new EventTimeWindowCheckpointingITCase.SinkValidatorUpdateFun(numElementsPerKey),
				new EventTimeWindowCheckpointingITCase.SinkValidatorCheckFun(numKeys, numElementsPerKey, windowSize)))
			.setParallelism(1);

		env.execute("Tumbling Window Test");
	}
	catch (Exception e) {
		e.printStackTrace();
		fail(e.getMessage());
	}
}
 
Example 4
@Test
public void testPreAggregatedFoldingTumblingTimeWindow() {
	final int numElementsPerKey = 3000;
	final int windowSize = 100;
	final int numKeys = 1;

	try {
		StreamExecutionEnvironment env = StreamExecutionEnvironment.getExecutionEnvironment();
		env.setParallelism(PARALLELISM);
		env.setStreamTimeCharacteristic(TimeCharacteristic.EventTime);
		env.enableCheckpointing(100);
		env.setRestartStrategy(RestartStrategies.fixedDelayRestart(1, 0));
		env.getConfig().disableSysoutLogging();

		env
			.addSource(new FailingSource(new EventTimeWindowCheckpointingITCase.KeyedEventTimeGenerator(numKeys, windowSize), numElementsPerKey))
				.rebalance()
				.timeWindowAll(Time.of(windowSize, MILLISECONDS))
				.fold(new Tuple4<>(0L, 0L, 0L, new IntType(0)),
						new FoldFunction<Tuple2<Long, IntType>, Tuple4<Long, Long, Long, IntType>>() {
							@Override
							public Tuple4<Long, Long, Long, IntType> fold(Tuple4<Long, Long, Long, IntType> accumulator,
									Tuple2<Long, IntType> value) throws Exception {
								accumulator.f0 = value.f0;
								accumulator.f3 = new IntType(accumulator.f3.value + value.f1.value);
								return accumulator;
							}
						},
						new RichAllWindowFunction<Tuple4<Long, Long, Long, IntType>, Tuple4<Long, Long, Long, IntType>, TimeWindow>() {

							private boolean open = false;

							@Override
							public void open(Configuration parameters) {
								assertEquals(1, getRuntimeContext().getNumberOfParallelSubtasks());
								open = true;
							}

							@Override
							public void apply(
									TimeWindow window,
									Iterable<Tuple4<Long, Long, Long, IntType>> input,
									Collector<Tuple4<Long, Long, Long, IntType>> out) {

								// validate that the function has been opened properly
								assertTrue(open);

								for (Tuple4<Long, Long, Long, IntType> in: input) {
									out.collect(new Tuple4<>(in.f0,
											window.getStart(),
											window.getEnd(),
											in.f3));
								}
							}
						})
			.addSink(new ValidatingSink<>(
				new EventTimeWindowCheckpointingITCase.SinkValidatorUpdateFun(numElementsPerKey),
				new EventTimeWindowCheckpointingITCase.SinkValidatorCheckFun(numKeys, numElementsPerKey, windowSize)))
			.setParallelism(1);

		env.execute("Tumbling Window Test");
	}
	catch (Exception e) {
		e.printStackTrace();
		fail(e.getMessage());
	}
}
 
Example 5
@Test
public void testPreAggregatedSlidingTimeWindow() {
	final int numElementsPerKey = 3000;
	final int windowSize = 1000;
	final int windowSlide = 100;
	final int numKeys = 1;

	try {
		StreamExecutionEnvironment env = StreamExecutionEnvironment.getExecutionEnvironment();
		env.setParallelism(PARALLELISM);
		env.setStreamTimeCharacteristic(TimeCharacteristic.EventTime);
		env.enableCheckpointing(100);
		env.setRestartStrategy(RestartStrategies.fixedDelayRestart(1, 0));
		env.getConfig().disableSysoutLogging();

		env
			.addSource(new FailingSource(new EventTimeWindowCheckpointingITCase.KeyedEventTimeGenerator(numKeys, windowSlide), numElementsPerKey))
				.rebalance()
				.timeWindowAll(Time.of(windowSize, MILLISECONDS),
						Time.of(windowSlide, MILLISECONDS))
				.reduce(
						new ReduceFunction<Tuple2<Long, IntType>>() {

							@Override
							public Tuple2<Long, IntType> reduce(
									Tuple2<Long, IntType> a,
									Tuple2<Long, IntType> b) {

								return new Tuple2<>(a.f0, new IntType(a.f1.value + b.f1.value));
							}
						},
						new RichAllWindowFunction<Tuple2<Long, IntType>, Tuple4<Long, Long, Long, IntType>, TimeWindow>() {

					private boolean open = false;

					@Override
					public void open(Configuration parameters) {
						assertEquals(1, getRuntimeContext().getNumberOfParallelSubtasks());
						open = true;
					}

					@Override
					public void apply(
							TimeWindow window,
							Iterable<Tuple2<Long, IntType>> input,
							Collector<Tuple4<Long, Long, Long, IntType>> out) {

						// validate that the function has been opened properly
						assertTrue(open);

						for (Tuple2<Long, IntType> in: input) {
							out.collect(new Tuple4<>(in.f0,
									window.getStart(),
									window.getEnd(),
									in.f1));
						}
					}
				})
			.addSink(new ValidatingSink<>(
				new EventTimeWindowCheckpointingITCase.SinkValidatorUpdateFun(numElementsPerKey),
				new EventTimeWindowCheckpointingITCase.SinkValidatorCheckFun(numKeys, numElementsPerKey, windowSlide)))
			.setParallelism(1);

		env.execute("Tumbling Window Test");
	}
	catch (Exception e) {
		e.printStackTrace();
		fail(e.getMessage());
	}
}
 
Example 6
@Test
public void testTumblingTimeWindow() {
	final int numElementsPerKey = 3000;
	final int windowSize = 100;
	final int numKeys = 1;

	try {
		StreamExecutionEnvironment env = StreamExecutionEnvironment.getExecutionEnvironment();
		env.setParallelism(PARALLELISM);
		env.setStreamTimeCharacteristic(TimeCharacteristic.EventTime);
		env.enableCheckpointing(100);
		env.setRestartStrategy(RestartStrategies.fixedDelayRestart(1, 0));
		env.getConfig().disableSysoutLogging();

		env
				.addSource(new FailingSource(new EventTimeWindowCheckpointingITCase.KeyedEventTimeGenerator(numKeys, windowSize), numElementsPerKey))
				.rebalance()
				.timeWindowAll(Time.of(windowSize, MILLISECONDS))
				.apply(new RichAllWindowFunction<Tuple2<Long, IntType>, Tuple4<Long, Long, Long, IntType>, TimeWindow>() {

					private boolean open = false;

					@Override
					public void open(Configuration parameters) {
						assertEquals(1, getRuntimeContext().getNumberOfParallelSubtasks());
						open = true;
					}

					@Override
					public void apply(
							TimeWindow window,
							Iterable<Tuple2<Long, IntType>> values,
							Collector<Tuple4<Long, Long, Long, IntType>> out) {

						// validate that the function has been opened properly
						assertTrue(open);

						int sum = 0;
						long key = -1;

						for (Tuple2<Long, IntType> value : values) {
							sum += value.f1.value;
							key = value.f0;
						}
						out.collect(new Tuple4<>(key, window.getStart(), window.getEnd(), new IntType(sum)));
					}
				})
			.addSink(new ValidatingSink<>(
				new EventTimeWindowCheckpointingITCase.SinkValidatorUpdateFun(numElementsPerKey),
				new EventTimeWindowCheckpointingITCase.SinkValidatorCheckFun(numKeys, numElementsPerKey, windowSize)))
			.setParallelism(1);

		env.execute("Tumbling Window Test");
	}
	catch (Exception e) {
		e.printStackTrace();
		fail(e.getMessage());
	}
}
 
Example 7
@Test
public void testSlidingTimeWindow() {
	final int numElementsPerKey = 3000;
	final int windowSize = 1000;
	final int windowSlide = 100;
	final int numKeys = 1;

	try {
		StreamExecutionEnvironment env = StreamExecutionEnvironment.getExecutionEnvironment();
		env.setParallelism(PARALLELISM);
		env.setStreamTimeCharacteristic(TimeCharacteristic.EventTime);
		env.enableCheckpointing(100);
		env.setRestartStrategy(RestartStrategies.fixedDelayRestart(1, 0));
		env.getConfig().disableSysoutLogging();

		env
			.addSource(new FailingSource(new EventTimeWindowCheckpointingITCase.KeyedEventTimeGenerator(numKeys, windowSlide), numElementsPerKey))
				.rebalance()
				.timeWindowAll(Time.of(windowSize, MILLISECONDS), Time.of(windowSlide, MILLISECONDS))
				.apply(new RichAllWindowFunction<Tuple2<Long, IntType>, Tuple4<Long, Long, Long, IntType>, TimeWindow>() {

					private boolean open = false;

					@Override
					public void open(Configuration parameters) {
						assertEquals(1, getRuntimeContext().getNumberOfParallelSubtasks());
						open = true;
					}

					@Override
					public void apply(
							TimeWindow window,
							Iterable<Tuple2<Long, IntType>> values,
							Collector<Tuple4<Long, Long, Long, IntType>> out) {

						// validate that the function has been opened properly
						assertTrue(open);

						int sum = 0;
						long key = -1;

						for (Tuple2<Long, IntType> value : values) {
							sum += value.f1.value;
							key = value.f0;
						}
						out.collect(new Tuple4<>(key, window.getStart(), window.getEnd(), new IntType(sum)));
					}
				})
			.addSink(new ValidatingSink<>(
				new EventTimeWindowCheckpointingITCase.SinkValidatorUpdateFun(numElementsPerKey),
				new EventTimeWindowCheckpointingITCase.SinkValidatorCheckFun(numKeys, numElementsPerKey, windowSlide)))
			.setParallelism(1);

		env.execute("Sliding Window Test");
	}
	catch (Exception e) {
		e.printStackTrace();
		fail(e.getMessage());
	}
}
 
Example 8
@Test
public void testPreAggregatedTumblingTimeWindow() {
	final int numElementsPerKey = 3000;
	final int windowSize = 100;
	final int numKeys = 1;

	try {
		StreamExecutionEnvironment env = StreamExecutionEnvironment.getExecutionEnvironment();
		env.setParallelism(PARALLELISM);
		env.setStreamTimeCharacteristic(TimeCharacteristic.EventTime);
		env.enableCheckpointing(100);
		env.setRestartStrategy(RestartStrategies.fixedDelayRestart(1, 0));
		env.getConfig().disableSysoutLogging();

		env
			.addSource(new FailingSource(new EventTimeWindowCheckpointingITCase.KeyedEventTimeGenerator(numKeys, windowSize), numElementsPerKey))
				.rebalance()
				.timeWindowAll(Time.of(windowSize, MILLISECONDS))
				.reduce(
						new ReduceFunction<Tuple2<Long, IntType>>() {

							@Override
							public Tuple2<Long, IntType> reduce(
									Tuple2<Long, IntType> a,
									Tuple2<Long, IntType> b) {

								return new Tuple2<>(a.f0, new IntType(a.f1.value + b.f1.value));
							}
						},
						new RichAllWindowFunction<Tuple2<Long, IntType>, Tuple4<Long, Long, Long, IntType>, TimeWindow>() {

					private boolean open = false;

					@Override
					public void open(Configuration parameters) {
						assertEquals(1, getRuntimeContext().getNumberOfParallelSubtasks());
						open = true;
					}

					@Override
					public void apply(
							TimeWindow window,
							Iterable<Tuple2<Long, IntType>> input,
							Collector<Tuple4<Long, Long, Long, IntType>> out) {

						// validate that the function has been opened properly
						assertTrue(open);

						for (Tuple2<Long, IntType> in: input) {
							out.collect(new Tuple4<>(in.f0,
									window.getStart(),
									window.getEnd(),
									in.f1));
						}
					}
				})
			.addSink(new ValidatingSink<>(
				new EventTimeWindowCheckpointingITCase.SinkValidatorUpdateFun(numElementsPerKey),
				new EventTimeWindowCheckpointingITCase.SinkValidatorCheckFun(numKeys, numElementsPerKey, windowSize)))
			.setParallelism(1);

		env.execute("Tumbling Window Test");
	}
	catch (Exception e) {
		e.printStackTrace();
		fail(e.getMessage());
	}
}
 
Example 9
@Test
public void testPreAggregatedFoldingTumblingTimeWindow() {
	final int numElementsPerKey = 3000;
	final int windowSize = 100;
	final int numKeys = 1;

	try {
		StreamExecutionEnvironment env = StreamExecutionEnvironment.getExecutionEnvironment();
		env.setParallelism(PARALLELISM);
		env.setStreamTimeCharacteristic(TimeCharacteristic.EventTime);
		env.enableCheckpointing(100);
		env.setRestartStrategy(RestartStrategies.fixedDelayRestart(1, 0));
		env.getConfig().disableSysoutLogging();

		env
			.addSource(new FailingSource(new EventTimeWindowCheckpointingITCase.KeyedEventTimeGenerator(numKeys, windowSize), numElementsPerKey))
				.rebalance()
				.timeWindowAll(Time.of(windowSize, MILLISECONDS))
				.fold(new Tuple4<>(0L, 0L, 0L, new IntType(0)),
						new FoldFunction<Tuple2<Long, IntType>, Tuple4<Long, Long, Long, IntType>>() {
							@Override
							public Tuple4<Long, Long, Long, IntType> fold(Tuple4<Long, Long, Long, IntType> accumulator,
									Tuple2<Long, IntType> value) throws Exception {
								accumulator.f0 = value.f0;
								accumulator.f3 = new IntType(accumulator.f3.value + value.f1.value);
								return accumulator;
							}
						},
						new RichAllWindowFunction<Tuple4<Long, Long, Long, IntType>, Tuple4<Long, Long, Long, IntType>, TimeWindow>() {

							private boolean open = false;

							@Override
							public void open(Configuration parameters) {
								assertEquals(1, getRuntimeContext().getNumberOfParallelSubtasks());
								open = true;
							}

							@Override
							public void apply(
									TimeWindow window,
									Iterable<Tuple4<Long, Long, Long, IntType>> input,
									Collector<Tuple4<Long, Long, Long, IntType>> out) {

								// validate that the function has been opened properly
								assertTrue(open);

								for (Tuple4<Long, Long, Long, IntType> in: input) {
									out.collect(new Tuple4<>(in.f0,
											window.getStart(),
											window.getEnd(),
											in.f3));
								}
							}
						})
			.addSink(new ValidatingSink<>(
				new EventTimeWindowCheckpointingITCase.SinkValidatorUpdateFun(numElementsPerKey),
				new EventTimeWindowCheckpointingITCase.SinkValidatorCheckFun(numKeys, numElementsPerKey, windowSize)))
			.setParallelism(1);

		env.execute("Tumbling Window Test");
	}
	catch (Exception e) {
		e.printStackTrace();
		fail(e.getMessage());
	}
}
 
Example 10
@Test
public void testPreAggregatedSlidingTimeWindow() {
	final int numElementsPerKey = 3000;
	final int windowSize = 1000;
	final int windowSlide = 100;
	final int numKeys = 1;

	try {
		StreamExecutionEnvironment env = StreamExecutionEnvironment.getExecutionEnvironment();
		env.setParallelism(PARALLELISM);
		env.setStreamTimeCharacteristic(TimeCharacteristic.EventTime);
		env.enableCheckpointing(100);
		env.setRestartStrategy(RestartStrategies.fixedDelayRestart(1, 0));
		env.getConfig().disableSysoutLogging();

		env
			.addSource(new FailingSource(new EventTimeWindowCheckpointingITCase.KeyedEventTimeGenerator(numKeys, windowSlide), numElementsPerKey))
				.rebalance()
				.timeWindowAll(Time.of(windowSize, MILLISECONDS),
						Time.of(windowSlide, MILLISECONDS))
				.reduce(
						new ReduceFunction<Tuple2<Long, IntType>>() {

							@Override
							public Tuple2<Long, IntType> reduce(
									Tuple2<Long, IntType> a,
									Tuple2<Long, IntType> b) {

								return new Tuple2<>(a.f0, new IntType(a.f1.value + b.f1.value));
							}
						},
						new RichAllWindowFunction<Tuple2<Long, IntType>, Tuple4<Long, Long, Long, IntType>, TimeWindow>() {

					private boolean open = false;

					@Override
					public void open(Configuration parameters) {
						assertEquals(1, getRuntimeContext().getNumberOfParallelSubtasks());
						open = true;
					}

					@Override
					public void apply(
							TimeWindow window,
							Iterable<Tuple2<Long, IntType>> input,
							Collector<Tuple4<Long, Long, Long, IntType>> out) {

						// validate that the function has been opened properly
						assertTrue(open);

						for (Tuple2<Long, IntType> in: input) {
							out.collect(new Tuple4<>(in.f0,
									window.getStart(),
									window.getEnd(),
									in.f1));
						}
					}
				})
			.addSink(new ValidatingSink<>(
				new EventTimeWindowCheckpointingITCase.SinkValidatorUpdateFun(numElementsPerKey),
				new EventTimeWindowCheckpointingITCase.SinkValidatorCheckFun(numKeys, numElementsPerKey, windowSlide)))
			.setParallelism(1);

		env.execute("Tumbling Window Test");
	}
	catch (Exception e) {
		e.printStackTrace();
		fail(e.getMessage());
	}
}
 
Example 11
@Test
public void testTumblingTimeWindow() {
	final int numElementsPerKey = 3000;
	final int windowSize = 100;
	final int numKeys = 1;

	try {
		StreamExecutionEnvironment env = StreamExecutionEnvironment.getExecutionEnvironment();
		env.setParallelism(PARALLELISM);
		env.setStreamTimeCharacteristic(TimeCharacteristic.EventTime);
		env.enableCheckpointing(100);
		env.setRestartStrategy(RestartStrategies.fixedDelayRestart(1, 0));

		env
				.addSource(new FailingSource(new EventTimeWindowCheckpointingITCase.KeyedEventTimeGenerator(numKeys, windowSize), numElementsPerKey))
				.rebalance()
				.timeWindowAll(Time.of(windowSize, MILLISECONDS))
				.apply(new RichAllWindowFunction<Tuple2<Long, IntType>, Tuple4<Long, Long, Long, IntType>, TimeWindow>() {

					private boolean open = false;

					@Override
					public void open(Configuration parameters) {
						assertEquals(1, getRuntimeContext().getNumberOfParallelSubtasks());
						open = true;
					}

					@Override
					public void apply(
							TimeWindow window,
							Iterable<Tuple2<Long, IntType>> values,
							Collector<Tuple4<Long, Long, Long, IntType>> out) {

						// validate that the function has been opened properly
						assertTrue(open);

						int sum = 0;
						long key = -1;

						for (Tuple2<Long, IntType> value : values) {
							sum += value.f1.value;
							key = value.f0;
						}
						out.collect(new Tuple4<>(key, window.getStart(), window.getEnd(), new IntType(sum)));
					}
				})
			.addSink(new ValidatingSink<>(
				new EventTimeWindowCheckpointingITCase.SinkValidatorUpdateFun(numElementsPerKey),
				new EventTimeWindowCheckpointingITCase.SinkValidatorCheckFun(numKeys, numElementsPerKey, windowSize)))
			.setParallelism(1);

		env.execute("Tumbling Window Test");
	}
	catch (Exception e) {
		e.printStackTrace();
		fail(e.getMessage());
	}
}
 
Example 12
@Test
public void testSlidingTimeWindow() {
	final int numElementsPerKey = 3000;
	final int windowSize = 1000;
	final int windowSlide = 100;
	final int numKeys = 1;

	try {
		StreamExecutionEnvironment env = StreamExecutionEnvironment.getExecutionEnvironment();
		env.setParallelism(PARALLELISM);
		env.setStreamTimeCharacteristic(TimeCharacteristic.EventTime);
		env.enableCheckpointing(100);
		env.setRestartStrategy(RestartStrategies.fixedDelayRestart(1, 0));

		env
			.addSource(new FailingSource(new EventTimeWindowCheckpointingITCase.KeyedEventTimeGenerator(numKeys, windowSlide), numElementsPerKey))
				.rebalance()
				.timeWindowAll(Time.of(windowSize, MILLISECONDS), Time.of(windowSlide, MILLISECONDS))
				.apply(new RichAllWindowFunction<Tuple2<Long, IntType>, Tuple4<Long, Long, Long, IntType>, TimeWindow>() {

					private boolean open = false;

					@Override
					public void open(Configuration parameters) {
						assertEquals(1, getRuntimeContext().getNumberOfParallelSubtasks());
						open = true;
					}

					@Override
					public void apply(
							TimeWindow window,
							Iterable<Tuple2<Long, IntType>> values,
							Collector<Tuple4<Long, Long, Long, IntType>> out) {

						// validate that the function has been opened properly
						assertTrue(open);

						int sum = 0;
						long key = -1;

						for (Tuple2<Long, IntType> value : values) {
							sum += value.f1.value;
							key = value.f0;
						}
						out.collect(new Tuple4<>(key, window.getStart(), window.getEnd(), new IntType(sum)));
					}
				})
			.addSink(new ValidatingSink<>(
				new EventTimeWindowCheckpointingITCase.SinkValidatorUpdateFun(numElementsPerKey),
				new EventTimeWindowCheckpointingITCase.SinkValidatorCheckFun(numKeys, numElementsPerKey, windowSlide)))
			.setParallelism(1);

		env.execute("Sliding Window Test");
	}
	catch (Exception e) {
		e.printStackTrace();
		fail(e.getMessage());
	}
}
 
Example 13
@Test
public void testPreAggregatedTumblingTimeWindow() {
	final int numElementsPerKey = 3000;
	final int windowSize = 100;
	final int numKeys = 1;

	try {
		StreamExecutionEnvironment env = StreamExecutionEnvironment.getExecutionEnvironment();
		env.setParallelism(PARALLELISM);
		env.setStreamTimeCharacteristic(TimeCharacteristic.EventTime);
		env.enableCheckpointing(100);
		env.setRestartStrategy(RestartStrategies.fixedDelayRestart(1, 0));

		env
			.addSource(new FailingSource(new EventTimeWindowCheckpointingITCase.KeyedEventTimeGenerator(numKeys, windowSize), numElementsPerKey))
				.rebalance()
				.timeWindowAll(Time.of(windowSize, MILLISECONDS))
				.reduce(
						new ReduceFunction<Tuple2<Long, IntType>>() {

							@Override
							public Tuple2<Long, IntType> reduce(
									Tuple2<Long, IntType> a,
									Tuple2<Long, IntType> b) {

								return new Tuple2<>(a.f0, new IntType(a.f1.value + b.f1.value));
							}
						},
						new RichAllWindowFunction<Tuple2<Long, IntType>, Tuple4<Long, Long, Long, IntType>, TimeWindow>() {

					private boolean open = false;

					@Override
					public void open(Configuration parameters) {
						assertEquals(1, getRuntimeContext().getNumberOfParallelSubtasks());
						open = true;
					}

					@Override
					public void apply(
							TimeWindow window,
							Iterable<Tuple2<Long, IntType>> input,
							Collector<Tuple4<Long, Long, Long, IntType>> out) {

						// validate that the function has been opened properly
						assertTrue(open);

						for (Tuple2<Long, IntType> in: input) {
							out.collect(new Tuple4<>(in.f0,
									window.getStart(),
									window.getEnd(),
									in.f1));
						}
					}
				})
			.addSink(new ValidatingSink<>(
				new EventTimeWindowCheckpointingITCase.SinkValidatorUpdateFun(numElementsPerKey),
				new EventTimeWindowCheckpointingITCase.SinkValidatorCheckFun(numKeys, numElementsPerKey, windowSize)))
			.setParallelism(1);

		env.execute("Tumbling Window Test");
	}
	catch (Exception e) {
		e.printStackTrace();
		fail(e.getMessage());
	}
}
 
Example 14
@Test
public void testPreAggregatedFoldingTumblingTimeWindow() {
	final int numElementsPerKey = 3000;
	final int windowSize = 100;
	final int numKeys = 1;

	try {
		StreamExecutionEnvironment env = StreamExecutionEnvironment.getExecutionEnvironment();
		env.setParallelism(PARALLELISM);
		env.setStreamTimeCharacteristic(TimeCharacteristic.EventTime);
		env.enableCheckpointing(100);
		env.setRestartStrategy(RestartStrategies.fixedDelayRestart(1, 0));

		env
			.addSource(new FailingSource(new EventTimeWindowCheckpointingITCase.KeyedEventTimeGenerator(numKeys, windowSize), numElementsPerKey))
				.rebalance()
				.timeWindowAll(Time.of(windowSize, MILLISECONDS))
				.fold(new Tuple4<>(0L, 0L, 0L, new IntType(0)),
						new FoldFunction<Tuple2<Long, IntType>, Tuple4<Long, Long, Long, IntType>>() {
							@Override
							public Tuple4<Long, Long, Long, IntType> fold(Tuple4<Long, Long, Long, IntType> accumulator,
									Tuple2<Long, IntType> value) throws Exception {
								accumulator.f0 = value.f0;
								accumulator.f3 = new IntType(accumulator.f3.value + value.f1.value);
								return accumulator;
							}
						},
						new RichAllWindowFunction<Tuple4<Long, Long, Long, IntType>, Tuple4<Long, Long, Long, IntType>, TimeWindow>() {

							private boolean open = false;

							@Override
							public void open(Configuration parameters) {
								assertEquals(1, getRuntimeContext().getNumberOfParallelSubtasks());
								open = true;
							}

							@Override
							public void apply(
									TimeWindow window,
									Iterable<Tuple4<Long, Long, Long, IntType>> input,
									Collector<Tuple4<Long, Long, Long, IntType>> out) {

								// validate that the function has been opened properly
								assertTrue(open);

								for (Tuple4<Long, Long, Long, IntType> in: input) {
									out.collect(new Tuple4<>(in.f0,
											window.getStart(),
											window.getEnd(),
											in.f3));
								}
							}
						})
			.addSink(new ValidatingSink<>(
				new EventTimeWindowCheckpointingITCase.SinkValidatorUpdateFun(numElementsPerKey),
				new EventTimeWindowCheckpointingITCase.SinkValidatorCheckFun(numKeys, numElementsPerKey, windowSize)))
			.setParallelism(1);

		env.execute("Tumbling Window Test");
	}
	catch (Exception e) {
		e.printStackTrace();
		fail(e.getMessage());
	}
}
 
Example 15
@Test
public void testPreAggregatedSlidingTimeWindow() {
	final int numElementsPerKey = 3000;
	final int windowSize = 1000;
	final int windowSlide = 100;
	final int numKeys = 1;

	try {
		StreamExecutionEnvironment env = StreamExecutionEnvironment.getExecutionEnvironment();
		env.setParallelism(PARALLELISM);
		env.setStreamTimeCharacteristic(TimeCharacteristic.EventTime);
		env.enableCheckpointing(100);
		env.setRestartStrategy(RestartStrategies.fixedDelayRestart(1, 0));

		env
			.addSource(new FailingSource(new EventTimeWindowCheckpointingITCase.KeyedEventTimeGenerator(numKeys, windowSlide), numElementsPerKey))
				.rebalance()
				.timeWindowAll(Time.of(windowSize, MILLISECONDS),
						Time.of(windowSlide, MILLISECONDS))
				.reduce(
						new ReduceFunction<Tuple2<Long, IntType>>() {

							@Override
							public Tuple2<Long, IntType> reduce(
									Tuple2<Long, IntType> a,
									Tuple2<Long, IntType> b) {

								return new Tuple2<>(a.f0, new IntType(a.f1.value + b.f1.value));
							}
						},
						new RichAllWindowFunction<Tuple2<Long, IntType>, Tuple4<Long, Long, Long, IntType>, TimeWindow>() {

					private boolean open = false;

					@Override
					public void open(Configuration parameters) {
						assertEquals(1, getRuntimeContext().getNumberOfParallelSubtasks());
						open = true;
					}

					@Override
					public void apply(
							TimeWindow window,
							Iterable<Tuple2<Long, IntType>> input,
							Collector<Tuple4<Long, Long, Long, IntType>> out) {

						// validate that the function has been opened properly
						assertTrue(open);

						for (Tuple2<Long, IntType> in: input) {
							out.collect(new Tuple4<>(in.f0,
									window.getStart(),
									window.getEnd(),
									in.f1));
						}
					}
				})
			.addSink(new ValidatingSink<>(
				new EventTimeWindowCheckpointingITCase.SinkValidatorUpdateFun(numElementsPerKey),
				new EventTimeWindowCheckpointingITCase.SinkValidatorCheckFun(numKeys, numElementsPerKey, windowSlide)))
			.setParallelism(1);

		env.execute("Tumbling Window Test");
	}
	catch (Exception e) {
		e.printStackTrace();
		fail(e.getMessage());
	}
}