Java Code Examples for org.apache.flink.test.checkpointing.utils.FailingSource

The following examples show how to use org.apache.flink.test.checkpointing.utils.FailingSource. 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 = numElementsPerKey();
	final int windowSize = windowSize();
	final int numKeys = numKeys();

	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.setStateBackend(this.stateBackend);
		env.getConfig().setUseSnapshotCompression(true);

		env
				.addSource(new FailingSource(new KeyedEventTimeGenerator(numKeys, windowSize), numElementsPerKey))
				.rebalance()
				.keyBy(0)
				.timeWindow(Time.of(windowSize, MILLISECONDS))
				.apply(new RichWindowFunction<Tuple2<Long, IntType>, Tuple4<Long, Long, Long, IntType>, Tuple, TimeWindow>() {

					private boolean open = false;

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

					@Override
					public void apply(
							Tuple tuple,
							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;
						}

						final Tuple4<Long, Long, Long, IntType> result =
							new Tuple4<>(key, window.getStart(), window.getEnd(), new IntType(sum));
						out.collect(result);
					}
				})
			.addSink(new ValidatingSink<>(
				new SinkValidatorUpdateFun(numElementsPerKey),
				new SinkValidatorCheckFun(numKeys, numElementsPerKey, windowSize))).setParallelism(1);

		env.execute("Tumbling Window Test");
	}
	catch (Exception e) {
		e.printStackTrace();
		fail(e.getMessage());
	}
}
 
Example 7
public void doTestTumblingTimeWindowWithKVState(int maxParallelism) {
	final int numElementsPerKey = numElementsPerKey();
	final int windowSize = windowSize();
	final int numKeys = numKeys();

	try {
		StreamExecutionEnvironment env = StreamExecutionEnvironment.getExecutionEnvironment();
		env.setParallelism(PARALLELISM);
		env.setMaxParallelism(maxParallelism);
		env.setStreamTimeCharacteristic(TimeCharacteristic.EventTime);
		env.enableCheckpointing(100);
		env.setRestartStrategy(RestartStrategies.fixedDelayRestart(1, 0));
		env.getConfig().disableSysoutLogging();
		env.setStateBackend(this.stateBackend);
		env.getConfig().setUseSnapshotCompression(true);

		env
				.addSource(new FailingSource(new KeyedEventTimeGenerator(numKeys, windowSize), numElementsPerKey))
				.rebalance()
				.keyBy(0)
				.timeWindow(Time.of(windowSize, MILLISECONDS))
				.apply(new RichWindowFunction<Tuple2<Long, IntType>, Tuple4<Long, Long, Long, IntType>, Tuple, TimeWindow>() {

					private boolean open = false;

					private ValueState<Integer> count;

					@Override
					public void open(Configuration parameters) {
						assertEquals(PARALLELISM, getRuntimeContext().getNumberOfParallelSubtasks());
						open = true;
						count = getRuntimeContext().getState(
								new ValueStateDescriptor<>("count", Integer.class, 0));
					}

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

						// the window count state starts with the key, so that we get
						// different count results for each key
						if (count.value() == 0) {
							count.update(tuple.<Long>getField(0).intValue());
						}

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

						count.update(count.value() + 1);
						out.collect(new Tuple4<>(tuple.<Long>getField(0), window.getStart(), window.getEnd(), new IntType(count.value())));
					}
				})
			.addSink(new ValidatingSink<>(
				new CountingSinkValidatorUpdateFun(),
				new SinkValidatorCheckFun(numKeys, numElementsPerKey, windowSize))).setParallelism(1);

		env.execute("Tumbling Window Test");
	}
	catch (Exception e) {
		e.printStackTrace();
		fail(e.getMessage());
	}
}
 
Example 8
@Test
public void testSlidingTimeWindow() {
	final int numElementsPerKey = numElementsPerKey();
	final int windowSize = windowSize();
	final int windowSlide = windowSlide();
	final int numKeys = numKeys();

	try {
		StreamExecutionEnvironment env = StreamExecutionEnvironment.getExecutionEnvironment();
		env.setMaxParallelism(2 * PARALLELISM);
		env.setParallelism(PARALLELISM);
		env.setStreamTimeCharacteristic(TimeCharacteristic.EventTime);
		env.enableCheckpointing(100);
		env.setRestartStrategy(RestartStrategies.fixedDelayRestart(1, 0));
		env.getConfig().disableSysoutLogging();
		env.setStateBackend(this.stateBackend);
		env.getConfig().setUseSnapshotCompression(true);

		env
				.addSource(new FailingSource(new KeyedEventTimeGenerator(numKeys, windowSlide), numElementsPerKey))
				.rebalance()
				.keyBy(0)
				.timeWindow(Time.of(windowSize, MILLISECONDS), Time.of(windowSlide, MILLISECONDS))
				.apply(new RichWindowFunction<Tuple2<Long, IntType>, Tuple4<Long, Long, Long, IntType>, Tuple, TimeWindow>() {

					private boolean open = false;

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

					@Override
					public void apply(
							Tuple tuple,
							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;
						}
						final Tuple4<Long, Long, Long, IntType> output =
							new Tuple4<>(key, window.getStart(), window.getEnd(), new IntType(sum));
						out.collect(output);
					}
				})
			.addSink(new ValidatingSink<>(
				new SinkValidatorUpdateFun(numElementsPerKey),
				new SinkValidatorCheckFun(numKeys, numElementsPerKey, windowSlide))).setParallelism(1);

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

	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.setStateBackend(this.stateBackend);
		env.getConfig().setUseSnapshotCompression(true);

		env
				.addSource(new FailingSource(new KeyedEventTimeGenerator(numKeys, windowSize), numElementsPerKey))
				.rebalance()
				.keyBy(0)
				.timeWindow(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 RichWindowFunction<Tuple2<Long, IntType>, Tuple4<Long, Long, Long, IntType>, Tuple, TimeWindow>() {

					private boolean open = false;

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

					@Override
					public void apply(
							Tuple tuple,
							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) {
							final Tuple4<Long, Long, Long, IntType> output = new Tuple4<>(in.f0,
								window.getStart(),
								window.getEnd(),
								in.f1);
							out.collect(output);
						}
					}
				})
			.addSink(new ValidatingSink<>(
				new SinkValidatorUpdateFun(numElementsPerKey),
				new 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 = numElementsPerKey();
	final int windowSize = windowSize();
	final int windowSlide = windowSlide();
	final int numKeys = numKeys();

	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.setStateBackend(this.stateBackend);
		env.getConfig().setUseSnapshotCompression(true);

		env
				.addSource(new FailingSource(new KeyedEventTimeGenerator(numKeys, windowSlide), numElementsPerKey))
				.rebalance()
				.keyBy(0)
				.timeWindow(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) {

								// validate that the function has been opened properly
								return new Tuple2<>(a.f0, new IntType(a.f1.value + b.f1.value));
							}
						},
						new RichWindowFunction<Tuple2<Long, IntType>, Tuple4<Long, Long, Long, IntType>, Tuple, TimeWindow>() {

					private boolean open = false;

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

					@Override
					public void apply(
							Tuple tuple,
							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 SinkValidatorUpdateFun(numElementsPerKey),
					new SinkValidatorCheckFun(numKeys, numElementsPerKey, windowSlide))).setParallelism(1);

		env.execute("Tumbling Window Test");
	}
	catch (Exception e) {
		e.printStackTrace();
		fail(e.getMessage());
	}
}
 
Example 11
Source Project: Flink-CEPplus   Source File: WindowCheckpointingITCase.java    License: Apache License 2.0 4 votes vote down vote up
@Test
public void testTumblingProcessingTimeWindow() {
	final int numElements = 3000;

	try {
		StreamExecutionEnvironment env = StreamExecutionEnvironment.getExecutionEnvironment();
		env.setParallelism(PARALLELISM);
		env.setStreamTimeCharacteristic(timeCharacteristic);
		env.getConfig().setAutoWatermarkInterval(10);
		env.enableCheckpointing(100);
		env.setRestartStrategy(RestartStrategies.fixedDelayRestart(1, 0));
		env.getConfig().disableSysoutLogging();

		SinkValidatorUpdaterAndChecker updaterAndChecker =
			new SinkValidatorUpdaterAndChecker(numElements, 1);

		env
				.addSource(new FailingSource(new Generator(), numElements, timeCharacteristic))
				.rebalance()
				.keyBy(0)
				.timeWindow(Time.of(100, MILLISECONDS))
				.apply(new RichWindowFunction<Tuple2<Long, IntType>, Tuple2<Long, IntType>, Tuple, TimeWindow>() {

					private boolean open = false;

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

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

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

						for (Tuple2<Long, IntType> value : values) {
							assertEquals(value.f0.intValue(), value.f1.value);
							out.collect(new Tuple2<>(value.f0, new IntType(1)));
						}
					}
				})
			.addSink(new ValidatingSink<>(updaterAndChecker, updaterAndChecker, timeCharacteristic))
			.setParallelism(1);

		tryExecute(env, "Tumbling Window Test");
	}
	catch (Exception e) {
		e.printStackTrace();
		fail(e.getMessage());
	}
}
 
Example 12
Source Project: Flink-CEPplus   Source File: WindowCheckpointingITCase.java    License: Apache License 2.0 4 votes vote down vote up
@Test
public void testSlidingProcessingTimeWindow() {
	final int numElements = 3000;

	try {
		StreamExecutionEnvironment env = StreamExecutionEnvironment.getExecutionEnvironment();
		env.setParallelism(PARALLELISM);
		env.setStreamTimeCharacteristic(timeCharacteristic);
		env.getConfig().setAutoWatermarkInterval(10);
		env.enableCheckpointing(100);
		env.setRestartStrategy(RestartStrategies.fixedDelayRestart(1, 0));
		env.getConfig().disableSysoutLogging();
		SinkValidatorUpdaterAndChecker updaterAndChecker =
			new SinkValidatorUpdaterAndChecker(numElements, 3);
		env
				.addSource(new FailingSource(new Generator(), numElements, timeCharacteristic))
				.rebalance()
				.keyBy(0)
				.timeWindow(Time.of(150, MILLISECONDS), Time.of(50, MILLISECONDS))
				.apply(new RichWindowFunction<Tuple2<Long, IntType>, Tuple2<Long, IntType>, Tuple, TimeWindow>() {

					private boolean open = false;

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

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

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

						for (Tuple2<Long, IntType> value : values) {
							assertEquals(value.f0.intValue(), value.f1.value);
							out.collect(new Tuple2<>(value.f0, new IntType(1)));
						}
					}
				})
			.addSink(new ValidatingSink<>(updaterAndChecker, updaterAndChecker, timeCharacteristic))
			.setParallelism(1);

		tryExecute(env, "Sliding Window Test");
	}
	catch (Exception e) {
		e.printStackTrace();
		fail(e.getMessage());
	}
}
 
Example 13
Source Project: Flink-CEPplus   Source File: WindowCheckpointingITCase.java    License: Apache License 2.0 4 votes vote down vote up
@Test
public void testAggregatingTumblingProcessingTimeWindow() {
	final int numElements = 3000;

	try {
		StreamExecutionEnvironment env = StreamExecutionEnvironment.getExecutionEnvironment();
		env.setParallelism(PARALLELISM);
		env.setStreamTimeCharacteristic(timeCharacteristic);
		env.getConfig().setAutoWatermarkInterval(10);
		env.enableCheckpointing(100);
		env.setRestartStrategy(RestartStrategies.fixedDelayRestart(1, 0));
		env.getConfig().disableSysoutLogging();
		SinkValidatorUpdaterAndChecker updaterAndChecker =
			new SinkValidatorUpdaterAndChecker(numElements, 1);
		env
				.addSource(new FailingSource(new Generator(), numElements, timeCharacteristic))
				.map(new MapFunction<Tuple2<Long, IntType>, Tuple2<Long, IntType>>() {
					@Override
					public Tuple2<Long, IntType> map(Tuple2<Long, IntType> value) {
						value.f1.value = 1;
						return value;
					}
				})
				.rebalance()
				.keyBy(0)
				.timeWindow(Time.of(100, 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(1));
					}
				})
			.addSink(new ValidatingSink<>(updaterAndChecker, updaterAndChecker, timeCharacteristic))
			.setParallelism(1);

		tryExecute(env, "Aggregating Tumbling Window Test");
	}
	catch (Exception e) {
		e.printStackTrace();
		fail(e.getMessage());
	}
}
 
Example 14
Source Project: Flink-CEPplus   Source File: WindowCheckpointingITCase.java    License: Apache License 2.0 4 votes vote down vote up
@Test
public void testAggregatingSlidingProcessingTimeWindow() {
	final int numElements = 3000;

	try {
		StreamExecutionEnvironment env = StreamExecutionEnvironment.getExecutionEnvironment();
		env.setParallelism(PARALLELISM);
		env.setStreamTimeCharacteristic(timeCharacteristic);
		env.getConfig().setAutoWatermarkInterval(10);
		env.enableCheckpointing(100);
		env.setRestartStrategy(RestartStrategies.fixedDelayRestart(1, 0));
		env.getConfig().disableSysoutLogging();
		SinkValidatorUpdaterAndChecker updaterAndChecker =
			new SinkValidatorUpdaterAndChecker(numElements, 3);
		env
				.addSource(new FailingSource(new Generator(), numElements, timeCharacteristic))
				.map(new MapFunction<Tuple2<Long, IntType>, Tuple2<Long, IntType>>() {
					@Override
					public Tuple2<Long, IntType> map(Tuple2<Long, IntType> value) {
						value.f1.value = 1;
						return value;
					}
				})
				.rebalance()
				.keyBy(0)
				.timeWindow(Time.of(150, MILLISECONDS), Time.of(50, 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(1));
					}
				})
			.addSink(new ValidatingSink<>(updaterAndChecker, updaterAndChecker, timeCharacteristic))
			.setParallelism(1);

		tryExecute(env, "Aggregating Sliding Window Test");
	}
	catch (Exception e) {
		e.printStackTrace();
		fail(e.getMessage());
	}
}
 
Example 15
@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 16
@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 17
@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 18
@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 19
@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 20
Source Project: flink   Source File: EventTimeWindowCheckpointingITCase.java    License: Apache License 2.0 4 votes vote down vote up
@Test
public void testTumblingTimeWindow() {
	final int numElementsPerKey = numElementsPerKey();
	final int windowSize = windowSize();
	final int numKeys = numKeys();

	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.setStateBackend(this.stateBackend);
		env.getConfig().setUseSnapshotCompression(true);

		env
				.addSource(new FailingSource(new KeyedEventTimeGenerator(numKeys, windowSize), numElementsPerKey))
				.rebalance()
				.keyBy(0)
				.timeWindow(Time.of(windowSize, MILLISECONDS))
				.apply(new RichWindowFunction<Tuple2<Long, IntType>, Tuple4<Long, Long, Long, IntType>, Tuple, TimeWindow>() {

					private boolean open = false;

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

					@Override
					public void apply(
							Tuple tuple,
							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;
						}

						final Tuple4<Long, Long, Long, IntType> result =
							new Tuple4<>(key, window.getStart(), window.getEnd(), new IntType(sum));
						out.collect(result);
					}
				})
			.addSink(new ValidatingSink<>(
				new SinkValidatorUpdateFun(numElementsPerKey),
				new SinkValidatorCheckFun(numKeys, numElementsPerKey, windowSize))).setParallelism(1);

		env.execute("Tumbling Window Test");
	}
	catch (Exception e) {
		e.printStackTrace();
		fail(e.getMessage());
	}
}
 
Example 21
Source Project: flink   Source File: EventTimeWindowCheckpointingITCase.java    License: Apache License 2.0 4 votes vote down vote up
public void doTestTumblingTimeWindowWithKVState(int maxParallelism) {
	final int numElementsPerKey = numElementsPerKey();
	final int windowSize = windowSize();
	final int numKeys = numKeys();

	try {
		StreamExecutionEnvironment env = StreamExecutionEnvironment.getExecutionEnvironment();
		env.setParallelism(PARALLELISM);
		env.setMaxParallelism(maxParallelism);
		env.setStreamTimeCharacteristic(TimeCharacteristic.EventTime);
		env.enableCheckpointing(100);
		env.setRestartStrategy(RestartStrategies.fixedDelayRestart(1, 0));
		env.getConfig().disableSysoutLogging();
		env.setStateBackend(this.stateBackend);
		env.getConfig().setUseSnapshotCompression(true);

		env
				.addSource(new FailingSource(new KeyedEventTimeGenerator(numKeys, windowSize), numElementsPerKey))
				.rebalance()
				.keyBy(0)
				.timeWindow(Time.of(windowSize, MILLISECONDS))
				.apply(new RichWindowFunction<Tuple2<Long, IntType>, Tuple4<Long, Long, Long, IntType>, Tuple, TimeWindow>() {

					private boolean open = false;

					private ValueState<Integer> count;

					@Override
					public void open(Configuration parameters) {
						assertEquals(PARALLELISM, getRuntimeContext().getNumberOfParallelSubtasks());
						open = true;
						count = getRuntimeContext().getState(
								new ValueStateDescriptor<>("count", Integer.class, 0));
					}

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

						// the window count state starts with the key, so that we get
						// different count results for each key
						if (count.value() == 0) {
							count.update(tuple.<Long>getField(0).intValue());
						}

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

						count.update(count.value() + 1);
						out.collect(new Tuple4<>(tuple.<Long>getField(0), window.getStart(), window.getEnd(), new IntType(count.value())));
					}
				})
			.addSink(new ValidatingSink<>(
				new CountingSinkValidatorUpdateFun(),
				new SinkValidatorCheckFun(numKeys, numElementsPerKey, windowSize))).setParallelism(1);

		env.execute("Tumbling Window Test");
	}
	catch (Exception e) {
		e.printStackTrace();
		fail(e.getMessage());
	}
}
 
Example 22
Source Project: flink   Source File: EventTimeWindowCheckpointingITCase.java    License: Apache License 2.0 4 votes vote down vote up
@Test
public void testSlidingTimeWindow() {
	final int numElementsPerKey = numElementsPerKey();
	final int windowSize = windowSize();
	final int windowSlide = windowSlide();
	final int numKeys = numKeys();

	try {
		StreamExecutionEnvironment env = StreamExecutionEnvironment.getExecutionEnvironment();
		env.setMaxParallelism(2 * PARALLELISM);
		env.setParallelism(PARALLELISM);
		env.setStreamTimeCharacteristic(TimeCharacteristic.EventTime);
		env.enableCheckpointing(100);
		env.setRestartStrategy(RestartStrategies.fixedDelayRestart(1, 0));
		env.getConfig().disableSysoutLogging();
		env.setStateBackend(this.stateBackend);
		env.getConfig().setUseSnapshotCompression(true);

		env
				.addSource(new FailingSource(new KeyedEventTimeGenerator(numKeys, windowSlide), numElementsPerKey))
				.rebalance()
				.keyBy(0)
				.timeWindow(Time.of(windowSize, MILLISECONDS), Time.of(windowSlide, MILLISECONDS))
				.apply(new RichWindowFunction<Tuple2<Long, IntType>, Tuple4<Long, Long, Long, IntType>, Tuple, TimeWindow>() {

					private boolean open = false;

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

					@Override
					public void apply(
							Tuple tuple,
							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;
						}
						final Tuple4<Long, Long, Long, IntType> output =
							new Tuple4<>(key, window.getStart(), window.getEnd(), new IntType(sum));
						out.collect(output);
					}
				})
			.addSink(new ValidatingSink<>(
				new SinkValidatorUpdateFun(numElementsPerKey),
				new SinkValidatorCheckFun(numKeys, numElementsPerKey, windowSlide))).setParallelism(1);

		env.execute("Tumbling Window Test");
	}
	catch (Exception e) {
		e.printStackTrace();
		fail(e.getMessage());
	}
}
 
Example 23
Source Project: flink   Source File: EventTimeWindowCheckpointingITCase.java    License: Apache License 2.0 4 votes vote down vote up
@Test
public void testPreAggregatedTumblingTimeWindow() {
	final int numElementsPerKey = numElementsPerKey();
	final int windowSize = windowSize();
	final int numKeys = numKeys();

	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.setStateBackend(this.stateBackend);
		env.getConfig().setUseSnapshotCompression(true);

		env
				.addSource(new FailingSource(new KeyedEventTimeGenerator(numKeys, windowSize), numElementsPerKey))
				.rebalance()
				.keyBy(0)
				.timeWindow(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 RichWindowFunction<Tuple2<Long, IntType>, Tuple4<Long, Long, Long, IntType>, Tuple, TimeWindow>() {

					private boolean open = false;

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

					@Override
					public void apply(
							Tuple tuple,
							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) {
							final Tuple4<Long, Long, Long, IntType> output = new Tuple4<>(in.f0,
								window.getStart(),
								window.getEnd(),
								in.f1);
							out.collect(output);
						}
					}
				})
			.addSink(new ValidatingSink<>(
				new SinkValidatorUpdateFun(numElementsPerKey),
				new SinkValidatorCheckFun(numKeys, numElementsPerKey, windowSize))).setParallelism(1);

		env.execute("Tumbling Window Test");
	}
	catch (Exception e) {
		e.printStackTrace();
		fail(e.getMessage());
	}
}
 
Example 24
Source Project: flink   Source File: EventTimeWindowCheckpointingITCase.java    License: Apache License 2.0 4 votes vote down vote up
@Test
public void testPreAggregatedSlidingTimeWindow() {
	final int numElementsPerKey = numElementsPerKey();
	final int windowSize = windowSize();
	final int windowSlide = windowSlide();
	final int numKeys = numKeys();

	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.setStateBackend(this.stateBackend);
		env.getConfig().setUseSnapshotCompression(true);

		env
				.addSource(new FailingSource(new KeyedEventTimeGenerator(numKeys, windowSlide), numElementsPerKey))
				.rebalance()
				.keyBy(0)
				.timeWindow(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) {

								// validate that the function has been opened properly
								return new Tuple2<>(a.f0, new IntType(a.f1.value + b.f1.value));
							}
						},
						new RichWindowFunction<Tuple2<Long, IntType>, Tuple4<Long, Long, Long, IntType>, Tuple, TimeWindow>() {

					private boolean open = false;

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

					@Override
					public void apply(
							Tuple tuple,
							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 SinkValidatorUpdateFun(numElementsPerKey),
					new SinkValidatorCheckFun(numKeys, numElementsPerKey, windowSlide))).setParallelism(1);

		env.execute("Tumbling Window Test");
	}
	catch (Exception e) {
		e.printStackTrace();
		fail(e.getMessage());
	}
}
 
Example 25
Source Project: flink   Source File: WindowCheckpointingITCase.java    License: Apache License 2.0 4 votes vote down vote up
@Test
public void testTumblingProcessingTimeWindow() {
	final int numElements = 3000;

	try {
		StreamExecutionEnvironment env = StreamExecutionEnvironment.getExecutionEnvironment();
		env.setParallelism(PARALLELISM);
		env.setStreamTimeCharacteristic(timeCharacteristic);
		env.getConfig().setAutoWatermarkInterval(10);
		env.enableCheckpointing(100);
		env.setRestartStrategy(RestartStrategies.fixedDelayRestart(1, 0));
		env.getConfig().disableSysoutLogging();

		SinkValidatorUpdaterAndChecker updaterAndChecker =
			new SinkValidatorUpdaterAndChecker(numElements, 1);

		env
				.addSource(new FailingSource(new Generator(), numElements, timeCharacteristic))
				.rebalance()
				.keyBy(0)
				.timeWindow(Time.of(100, MILLISECONDS))
				.apply(new RichWindowFunction<Tuple2<Long, IntType>, Tuple2<Long, IntType>, Tuple, TimeWindow>() {

					private boolean open = false;

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

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

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

						for (Tuple2<Long, IntType> value : values) {
							assertEquals(value.f0.intValue(), value.f1.value);
							out.collect(new Tuple2<>(value.f0, new IntType(1)));
						}
					}
				})
			.addSink(new ValidatingSink<>(updaterAndChecker, updaterAndChecker, timeCharacteristic))
			.setParallelism(1);

		tryExecute(env, "Tumbling Window Test");
	}
	catch (Exception e) {
		e.printStackTrace();
		fail(e.getMessage());
	}
}
 
Example 26
Source Project: flink   Source File: WindowCheckpointingITCase.java    License: Apache License 2.0 4 votes vote down vote up
@Test
public void testSlidingProcessingTimeWindow() {
	final int numElements = 3000;

	try {
		StreamExecutionEnvironment env = StreamExecutionEnvironment.getExecutionEnvironment();
		env.setParallelism(PARALLELISM);
		env.setStreamTimeCharacteristic(timeCharacteristic);
		env.getConfig().setAutoWatermarkInterval(10);
		env.enableCheckpointing(100);
		env.setRestartStrategy(RestartStrategies.fixedDelayRestart(1, 0));
		env.getConfig().disableSysoutLogging();
		SinkValidatorUpdaterAndChecker updaterAndChecker =
			new SinkValidatorUpdaterAndChecker(numElements, 3);
		env
				.addSource(new FailingSource(new Generator(), numElements, timeCharacteristic))
				.rebalance()
				.keyBy(0)
				.timeWindow(Time.of(150, MILLISECONDS), Time.of(50, MILLISECONDS))
				.apply(new RichWindowFunction<Tuple2<Long, IntType>, Tuple2<Long, IntType>, Tuple, TimeWindow>() {

					private boolean open = false;

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

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

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

						for (Tuple2<Long, IntType> value : values) {
							assertEquals(value.f0.intValue(), value.f1.value);
							out.collect(new Tuple2<>(value.f0, new IntType(1)));
						}
					}
				})
			.addSink(new ValidatingSink<>(updaterAndChecker, updaterAndChecker, timeCharacteristic))
			.setParallelism(1);

		tryExecute(env, "Sliding Window Test");
	}
	catch (Exception e) {
		e.printStackTrace();
		fail(e.getMessage());
	}
}
 
Example 27
Source Project: flink   Source File: WindowCheckpointingITCase.java    License: Apache License 2.0 4 votes vote down vote up
@Test
public void testAggregatingTumblingProcessingTimeWindow() {
	final int numElements = 3000;

	try {
		StreamExecutionEnvironment env = StreamExecutionEnvironment.getExecutionEnvironment();
		env.setParallelism(PARALLELISM);
		env.setStreamTimeCharacteristic(timeCharacteristic);
		env.getConfig().setAutoWatermarkInterval(10);
		env.enableCheckpointing(100);
		env.setRestartStrategy(RestartStrategies.fixedDelayRestart(1, 0));
		env.getConfig().disableSysoutLogging();
		SinkValidatorUpdaterAndChecker updaterAndChecker =
			new SinkValidatorUpdaterAndChecker(numElements, 1);
		env
				.addSource(new FailingSource(new Generator(), numElements, timeCharacteristic))
				.map(new MapFunction<Tuple2<Long, IntType>, Tuple2<Long, IntType>>() {
					@Override
					public Tuple2<Long, IntType> map(Tuple2<Long, IntType> value) {
						value.f1.value = 1;
						return value;
					}
				})
				.rebalance()
				.keyBy(0)
				.timeWindow(Time.of(100, 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(1));
					}
				})
			.addSink(new ValidatingSink<>(updaterAndChecker, updaterAndChecker, timeCharacteristic))
			.setParallelism(1);

		tryExecute(env, "Aggregating Tumbling Window Test");
	}
	catch (Exception e) {
		e.printStackTrace();
		fail(e.getMessage());
	}
}
 
Example 28
Source Project: flink   Source File: WindowCheckpointingITCase.java    License: Apache License 2.0 4 votes vote down vote up
@Test
public void testAggregatingSlidingProcessingTimeWindow() {
	final int numElements = 3000;

	try {
		StreamExecutionEnvironment env = StreamExecutionEnvironment.getExecutionEnvironment();
		env.setParallelism(PARALLELISM);
		env.setStreamTimeCharacteristic(timeCharacteristic);
		env.getConfig().setAutoWatermarkInterval(10);
		env.enableCheckpointing(100);
		env.setRestartStrategy(RestartStrategies.fixedDelayRestart(1, 0));
		env.getConfig().disableSysoutLogging();
		SinkValidatorUpdaterAndChecker updaterAndChecker =
			new SinkValidatorUpdaterAndChecker(numElements, 3);
		env
				.addSource(new FailingSource(new Generator(), numElements, timeCharacteristic))
				.map(new MapFunction<Tuple2<Long, IntType>, Tuple2<Long, IntType>>() {
					@Override
					public Tuple2<Long, IntType> map(Tuple2<Long, IntType> value) {
						value.f1.value = 1;
						return value;
					}
				})
				.rebalance()
				.keyBy(0)
				.timeWindow(Time.of(150, MILLISECONDS), Time.of(50, 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(1));
					}
				})
			.addSink(new ValidatingSink<>(updaterAndChecker, updaterAndChecker, timeCharacteristic))
			.setParallelism(1);

		tryExecute(env, "Aggregating Sliding Window Test");
	}
	catch (Exception e) {
		e.printStackTrace();
		fail(e.getMessage());
	}
}
 
Example 29
@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 30
@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());
	}
}