Java GlobalWindow.Serializer方法代码示例

本文整理汇总了Java中org.apache.flink.streaming.api.windowing.windows.GlobalWindow.Serializer方法的典型用法代码示例。如果您正苦于以下问题：Java GlobalWindow.Serializer方法的具体用法？Java GlobalWindow.Serializer怎么用？Java GlobalWindow.Serializer使用的例子？那么恭喜您, 这里精选的方法代码示例或许可以为您提供帮助。您也可以进一步了解该方法所在类org.apache.flink.streaming.api.windowing.windows.GlobalWindow的用法示例。

在下文中一共展示了GlobalWindow.Serializer方法的8个代码示例，这些例子默认根据受欢迎程度排序。您可以为喜欢或者感觉有用的代码点赞，您的评价将有助于系统推荐出更棒的Java代码示例。

示例1: getWindowSerializer

import org.apache.flink.streaming.api.windowing.windows.GlobalWindow; //导入方法依赖的package包/类
@Override
public TypeSerializer<GlobalWindow> getWindowSerializer(ExecutionConfig executionConfig) {
	return new GlobalWindow.Serializer();
}

开发者ID:axbaretto，项目名称:flink，代码行数:5，代码来源:GlobalWindows.java

示例2: testCountEvictorEvictAfter

import org.apache.flink.streaming.api.windowing.windows.GlobalWindow; //导入方法依赖的package包/类
/**
 * Tests CountEvictor evictAfter behavior.
 * @throws Exception
    */
@Test
public void testCountEvictorEvictAfter() throws Exception {
	AtomicInteger closeCalled = new AtomicInteger(0);
	final int windowSize = 4;
	final int triggerCount = 2;
	final boolean evictAfter = true;

	TypeInformation<Tuple2<String, Integer>> inputType = TypeInfoParser.parse("Tuple2<String, Integer>");

	@SuppressWarnings({"unchecked", "rawtypes"})
	TypeSerializer<StreamRecord<Tuple2<String, Integer>>> streamRecordSerializer =
		(TypeSerializer<StreamRecord<Tuple2<String, Integer>>>) new StreamElementSerializer(inputType.createSerializer(new ExecutionConfig()));

	ListStateDescriptor<StreamRecord<Tuple2<String, Integer>>> stateDesc =
		new ListStateDescriptor<>("window-contents", streamRecordSerializer);

	EvictingWindowOperator<String, Tuple2<String, Integer>, Tuple2<String, Integer>, GlobalWindow> operator = new EvictingWindowOperator<>(
		GlobalWindows.create(),
		new GlobalWindow.Serializer(),
		new TupleKeySelector(),
		BasicTypeInfo.STRING_TYPE_INFO.createSerializer(new ExecutionConfig()),
		stateDesc,
		new InternalIterableWindowFunction<>(new RichSumReducer<GlobalWindow>(closeCalled)),
		CountTrigger.of(triggerCount),
		CountEvictor.of(windowSize, evictAfter),
		0,
		null /* late data output tag */);

	OneInputStreamOperatorTestHarness<Tuple2<String, Integer>, Tuple2<String, Integer>> testHarness =
		new KeyedOneInputStreamOperatorTestHarness<>(operator, new TupleKeySelector(), BasicTypeInfo.STRING_TYPE_INFO);

	long initialTime = 0L;
	ConcurrentLinkedQueue<Object> expectedOutput = new ConcurrentLinkedQueue<>();

	testHarness.open();

	testHarness.processElement(new StreamRecord<>(new Tuple2<>("key2", 1), initialTime + 3000));
	testHarness.processElement(new StreamRecord<>(new Tuple2<>("key2", 1), initialTime + 3999));

	testHarness.processElement(new StreamRecord<>(new Tuple2<>("key1", 1), initialTime + 20));
	testHarness.processElement(new StreamRecord<>(new Tuple2<>("key1", 1), initialTime));
	testHarness.processElement(new StreamRecord<>(new Tuple2<>("key1", 1), initialTime + 999));

	testHarness.processElement(new StreamRecord<>(new Tuple2<>("key2", 1), initialTime + 1998));
	testHarness.processElement(new StreamRecord<>(new Tuple2<>("key2", 1), initialTime + 1999));
	testHarness.processElement(new StreamRecord<>(new Tuple2<>("key2", 1), initialTime + 1000));

	expectedOutput.add(new StreamRecord<>(new Tuple2<>("key2", 2), Long.MAX_VALUE));
	expectedOutput.add(new StreamRecord<>(new Tuple2<>("key2", 4), Long.MAX_VALUE));
	expectedOutput.add(new StreamRecord<>(new Tuple2<>("key1", 2), Long.MAX_VALUE));

	TestHarnessUtil.assertOutputEqualsSorted("Output was not correct.", expectedOutput, testHarness.getOutput(), new ResultSortComparator());

	testHarness.processElement(new StreamRecord<>(new Tuple2<>("key1", 1), initialTime + 10999));
	testHarness.processElement(new StreamRecord<>(new Tuple2<>("key2", 1), initialTime + 1000));

	expectedOutput.add(new StreamRecord<>(new Tuple2<>("key1", 4), Long.MAX_VALUE));
	expectedOutput.add(new StreamRecord<>(new Tuple2<>("key2", 6), Long.MAX_VALUE));

	TestHarnessUtil.assertOutputEqualsSorted("Output was not correct.", expectedOutput, testHarness.getOutput(), new ResultSortComparator());

	testHarness.processElement(new StreamRecord<>(new Tuple2<>("key2", 1), initialTime + 1000));
	testHarness.processElement(new StreamRecord<>(new Tuple2<>("key2", 1), initialTime + 1000));
	expectedOutput.add(new StreamRecord<>(new Tuple2<>("key2", 6), Long.MAX_VALUE));

	TestHarnessUtil.assertOutputEqualsSorted("Output was not correct.", expectedOutput, testHarness.getOutput(), new ResultSortComparator());

	testHarness.close();

	Assert.assertEquals("Close was not called.", 1, closeCalled.get());
}

开发者ID:axbaretto，项目名称:flink，代码行数:76，代码来源:EvictingWindowOperatorTest.java

示例3: testTimeEvictorEvictAfter

import org.apache.flink.streaming.api.windowing.windows.GlobalWindow; //导入方法依赖的package包/类
/**
 * Tests TimeEvictor evictAfter behavior.
 * @throws Exception
 */
@Test
public void testTimeEvictorEvictAfter() throws Exception {
	AtomicInteger closeCalled = new AtomicInteger(0);
	final int triggerCount = 2;
	final boolean evictAfter = true;

	TypeInformation<Tuple2<String, Integer>> inputType = TypeInfoParser.parse("Tuple2<String, Integer>");

	@SuppressWarnings({"unchecked", "rawtypes"})
	TypeSerializer<StreamRecord<Tuple2<String, Integer>>> streamRecordSerializer =
		(TypeSerializer<StreamRecord<Tuple2<String, Integer>>>) new StreamElementSerializer(inputType.createSerializer(new ExecutionConfig()));

	ListStateDescriptor<StreamRecord<Tuple2<String, Integer>>> stateDesc =
		new ListStateDescriptor<>("window-contents", streamRecordSerializer);

	EvictingWindowOperator<String, Tuple2<String, Integer>, Tuple2<String, Integer>, GlobalWindow> operator = new EvictingWindowOperator<>(
		GlobalWindows.create(),
		new GlobalWindow.Serializer(),
		new TupleKeySelector(),
		BasicTypeInfo.STRING_TYPE_INFO.createSerializer(new ExecutionConfig()),
		stateDesc,
		new InternalIterableWindowFunction<>(new RichSumReducer<GlobalWindow>(closeCalled)),
		CountTrigger.of(triggerCount),
		TimeEvictor.of(Time.seconds(2), evictAfter),
		0,
		null /* late data output tag */);

	OneInputStreamOperatorTestHarness<Tuple2<String, Integer>, Tuple2<String, Integer>> testHarness =
		new KeyedOneInputStreamOperatorTestHarness<>(operator, new TupleKeySelector(), BasicTypeInfo.STRING_TYPE_INFO);

	long initialTime = 0L;
	ConcurrentLinkedQueue<Object> expectedOutput = new ConcurrentLinkedQueue<>();

	testHarness.open();

	testHarness.processElement(new StreamRecord<>(new Tuple2<>("key2", 1), initialTime + 1000));
	testHarness.processElement(new StreamRecord<>(new Tuple2<>("key2", 1), initialTime + 4000));

	testHarness.processElement(new StreamRecord<>(new Tuple2<>("key1", 1), initialTime + 20));
	testHarness.processElement(new StreamRecord<>(new Tuple2<>("key1", 1), initialTime));
	testHarness.processElement(new StreamRecord<>(new Tuple2<>("key1", 1), initialTime + 999));

	testHarness.processElement(new StreamRecord<>(new Tuple2<>("key2", 1), initialTime + 3500));
	testHarness.processElement(new StreamRecord<>(new Tuple2<>("key2", 1), initialTime + 2001));
	testHarness.processElement(new StreamRecord<>(new Tuple2<>("key2", 1), initialTime + 1001));

	expectedOutput.add(new StreamRecord<>(new Tuple2<>("key2", 2), Long.MAX_VALUE));
	expectedOutput.add(new StreamRecord<>(new Tuple2<>("key1", 2), Long.MAX_VALUE));
	expectedOutput.add(new StreamRecord<>(new Tuple2<>("key2", 3), Long.MAX_VALUE));

	TestHarnessUtil.assertOutputEqualsSorted("Output was not correct.", expectedOutput, testHarness.getOutput(), new ResultSortComparator());

	testHarness.processElement(new StreamRecord<>(new Tuple2<>("key1", 1), initialTime + 10999));
	testHarness.processElement(new StreamRecord<>(new Tuple2<>("key2", 1), initialTime + 1002));

	expectedOutput.add(new StreamRecord<>(new Tuple2<>("key1", 4), Long.MAX_VALUE));
	expectedOutput.add(new StreamRecord<>(new Tuple2<>("key2", 5), Long.MAX_VALUE));

	TestHarnessUtil.assertOutputEqualsSorted("Output was not correct.", expectedOutput, testHarness.getOutput(), new ResultSortComparator());

	testHarness.close();

	Assert.assertEquals("Close was not called.", 1, closeCalled.get());

}

开发者ID:axbaretto，项目名称:flink，代码行数:70，代码来源:EvictingWindowOperatorTest.java

示例4: testTimeEvictorNoTimestamp

import org.apache.flink.streaming.api.windowing.windows.GlobalWindow; //导入方法依赖的package包/类
/**
 * Tests time evictor, if no timestamp information in the StreamRecord.
 * No element will be evicted from the window.
 * @throws Exception
 */
@Test
public void testTimeEvictorNoTimestamp() throws Exception {
	AtomicInteger closeCalled = new AtomicInteger(0);
	final int triggerCount = 2;
	final boolean evictAfter = true;

	TypeInformation<Tuple2<String, Integer>> inputType = TypeInfoParser.parse("Tuple2<String, Integer>");

	@SuppressWarnings({"unchecked", "rawtypes"})
	TypeSerializer<StreamRecord<Tuple2<String, Integer>>> streamRecordSerializer =
		(TypeSerializer<StreamRecord<Tuple2<String, Integer>>>) new StreamElementSerializer(inputType.createSerializer(new ExecutionConfig()));

	ListStateDescriptor<StreamRecord<Tuple2<String, Integer>>> stateDesc =
		new ListStateDescriptor<>("window-contents", streamRecordSerializer);

	EvictingWindowOperator<String, Tuple2<String, Integer>, Tuple2<String, Integer>, GlobalWindow> operator = new EvictingWindowOperator<>(
		GlobalWindows.create(),
		new GlobalWindow.Serializer(),
		new TupleKeySelector(),
		BasicTypeInfo.STRING_TYPE_INFO.createSerializer(new ExecutionConfig()),
		stateDesc,
		new InternalIterableWindowFunction<>(new RichSumReducer<GlobalWindow>(closeCalled)),
		CountTrigger.of(triggerCount),
		TimeEvictor.of(Time.seconds(2), evictAfter),
		0,
		null /* late data output tag */);

	OneInputStreamOperatorTestHarness<Tuple2<String, Integer>, Tuple2<String, Integer>> testHarness =
		new KeyedOneInputStreamOperatorTestHarness<>(operator, new TupleKeySelector(), BasicTypeInfo.STRING_TYPE_INFO);

	ConcurrentLinkedQueue<Object> expectedOutput = new ConcurrentLinkedQueue<>();

	testHarness.open();

	testHarness.processElement(new StreamRecord<>(new Tuple2<>("key2", 1)));
	testHarness.processElement(new StreamRecord<>(new Tuple2<>("key2", 1)));

	testHarness.processElement(new StreamRecord<>(new Tuple2<>("key1", 1)));
	testHarness.processElement(new StreamRecord<>(new Tuple2<>("key1", 1)));
	testHarness.processElement(new StreamRecord<>(new Tuple2<>("key1", 1)));

	testHarness.processElement(new StreamRecord<>(new Tuple2<>("key2", 1)));
	testHarness.processElement(new StreamRecord<>(new Tuple2<>("key2", 1)));
	testHarness.processElement(new StreamRecord<>(new Tuple2<>("key2", 1)));

	expectedOutput.add(new StreamRecord<>(new Tuple2<>("key2", 2), Long.MAX_VALUE));
	expectedOutput.add(new StreamRecord<>(new Tuple2<>("key1", 2), Long.MAX_VALUE));
	expectedOutput.add(new StreamRecord<>(new Tuple2<>("key2", 4), Long.MAX_VALUE));

	TestHarnessUtil.assertOutputEqualsSorted("Output was not correct.", expectedOutput, testHarness.getOutput(), new ResultSortComparator());

	testHarness.processElement(new StreamRecord<>(new Tuple2<>("key1", 1)));
	testHarness.processElement(new StreamRecord<>(new Tuple2<>("key2", 1)));

	expectedOutput.add(new StreamRecord<>(new Tuple2<>("key1", 4), Long.MAX_VALUE));
	expectedOutput.add(new StreamRecord<>(new Tuple2<>("key2", 6), Long.MAX_VALUE));

	TestHarnessUtil.assertOutputEqualsSorted("Output was not correct.", expectedOutput, testHarness.getOutput(), new ResultSortComparator());

	testHarness.close();

	Assert.assertEquals("Close was not called.", 1, closeCalled.get());
}

开发者ID:axbaretto，项目名称:flink，代码行数:69，代码来源:EvictingWindowOperatorTest.java

示例5: testDeltaEvictorEvictBefore

import org.apache.flink.streaming.api.windowing.windows.GlobalWindow; //导入方法依赖的package包/类
/**
 * Tests DeltaEvictor, evictBefore behavior.
 * @throws Exception
 */
@Test
public void testDeltaEvictorEvictBefore() throws Exception {
	AtomicInteger closeCalled = new AtomicInteger(0);
	final int triggerCount = 2;
	final boolean evictAfter = false;
	final int threshold = 2;

	TypeInformation<Tuple2<String, Integer>> inputType = TypeInfoParser.parse("Tuple2<String, Integer>");

	@SuppressWarnings({"unchecked", "rawtypes"})
	TypeSerializer<StreamRecord<Tuple2<String, Integer>>> streamRecordSerializer =
		(TypeSerializer<StreamRecord<Tuple2<String, Integer>>>) new StreamElementSerializer(inputType.createSerializer(new ExecutionConfig()));

	ListStateDescriptor<StreamRecord<Tuple2<String, Integer>>> stateDesc =
		new ListStateDescriptor<>("window-contents", streamRecordSerializer);

	EvictingWindowOperator<String, Tuple2<String, Integer>, Tuple2<String, Integer>, GlobalWindow> operator = new EvictingWindowOperator<>(
		GlobalWindows.create(),
		new GlobalWindow.Serializer(),
		new TupleKeySelector(),
		BasicTypeInfo.STRING_TYPE_INFO.createSerializer(new ExecutionConfig()),
		stateDesc,
		new InternalIterableWindowFunction<>(new RichSumReducer<GlobalWindow>(closeCalled)),
		CountTrigger.of(triggerCount),
		DeltaEvictor.of(threshold, new DeltaFunction<Tuple2<String, Integer>>() {
			@Override
			public double getDelta(Tuple2<String, Integer> oldDataPoint, Tuple2<String, Integer> newDataPoint) {
				return newDataPoint.f1 - oldDataPoint.f1;
			}
		}, evictAfter),
		0,
		null /* late data output tag */);

	OneInputStreamOperatorTestHarness<Tuple2<String, Integer>, Tuple2<String, Integer>> testHarness =
		new KeyedOneInputStreamOperatorTestHarness<>(operator, new TupleKeySelector(), BasicTypeInfo.STRING_TYPE_INFO);

	long initialTime = 0L;
	ConcurrentLinkedQueue<Object> expectedOutput = new ConcurrentLinkedQueue<>();

	testHarness.open();

	testHarness.processElement(new StreamRecord<>(new Tuple2<>("key2", 1), initialTime + 3000));
	testHarness.processElement(new StreamRecord<>(new Tuple2<>("key2", 4), initialTime + 3999));

	testHarness.processElement(new StreamRecord<>(new Tuple2<>("key1", 1), initialTime + 20));
	testHarness.processElement(new StreamRecord<>(new Tuple2<>("key1", 1), initialTime));
	testHarness.processElement(new StreamRecord<>(new Tuple2<>("key1", 5), initialTime + 999));

	testHarness.processElement(new StreamRecord<>(new Tuple2<>("key2", 5), initialTime + 1998));
	testHarness.processElement(new StreamRecord<>(new Tuple2<>("key2", 6), initialTime + 1999));
	testHarness.processElement(new StreamRecord<>(new Tuple2<>("key2", 1), initialTime + 1000));

	expectedOutput.add(new StreamRecord<>(new Tuple2<>("key2", 4), Long.MAX_VALUE));
	expectedOutput.add(new StreamRecord<>(new Tuple2<>("key2", 11), Long.MAX_VALUE));
	expectedOutput.add(new StreamRecord<>(new Tuple2<>("key1", 2), Long.MAX_VALUE));

	TestHarnessUtil.assertOutputEqualsSorted("Output was not correct.", expectedOutput, testHarness.getOutput(), new ResultSortComparator());

	testHarness.processElement(new StreamRecord<>(new Tuple2<>("key1", 3), initialTime + 10999));
	testHarness.processElement(new StreamRecord<>(new Tuple2<>("key2", 10), initialTime + 1000));

	expectedOutput.add(new StreamRecord<>(new Tuple2<>("key1", 8), Long.MAX_VALUE));
	expectedOutput.add(new StreamRecord<>(new Tuple2<>("key2", 10), Long.MAX_VALUE));

	TestHarnessUtil.assertOutputEqualsSorted("Output was not correct.", expectedOutput, testHarness.getOutput(), new ResultSortComparator());

	testHarness.close();

	Assert.assertEquals("Close was not called.", 1, closeCalled.get());
}

开发者ID:axbaretto，项目名称:flink，代码行数:75，代码来源:EvictingWindowOperatorTest.java

示例6: testDeltaEvictorEvictAfter

import org.apache.flink.streaming.api.windowing.windows.GlobalWindow; //导入方法依赖的package包/类
/**
 * Tests DeltaEvictor, evictAfter behavior.
 * @throws Exception
 */
@Test
public void testDeltaEvictorEvictAfter() throws Exception {
	AtomicInteger closeCalled = new AtomicInteger(0);
	final int triggerCount = 2;
	final boolean evictAfter = true;
	final int threshold = 2;

	TypeInformation<Tuple2<String, Integer>> inputType = TypeInfoParser.parse("Tuple2<String, Integer>");

	@SuppressWarnings({"unchecked", "rawtypes"})
	TypeSerializer<StreamRecord<Tuple2<String, Integer>>> streamRecordSerializer =
		(TypeSerializer<StreamRecord<Tuple2<String, Integer>>>) new StreamElementSerializer(inputType.createSerializer(new ExecutionConfig()));

	ListStateDescriptor<StreamRecord<Tuple2<String, Integer>>> stateDesc =
		new ListStateDescriptor<>("window-contents", streamRecordSerializer);

	EvictingWindowOperator<String, Tuple2<String, Integer>, Tuple2<String, Integer>, GlobalWindow> operator = new EvictingWindowOperator<>(
		GlobalWindows.create(),
		new GlobalWindow.Serializer(),
		new TupleKeySelector(),
		BasicTypeInfo.STRING_TYPE_INFO.createSerializer(new ExecutionConfig()),
		stateDesc,
		new InternalIterableWindowFunction<>(new RichSumReducer<GlobalWindow>(closeCalled)),
		CountTrigger.of(triggerCount),
		DeltaEvictor.of(threshold, new DeltaFunction<Tuple2<String, Integer>>() {
			@Override
			public double getDelta(Tuple2<String, Integer> oldDataPoint, Tuple2<String, Integer> newDataPoint) {
				return newDataPoint.f1 - oldDataPoint.f1;
			}
		}, evictAfter),
		0,
		null /* late data output tag */);

	OneInputStreamOperatorTestHarness<Tuple2<String, Integer>, Tuple2<String, Integer>> testHarness =
		new KeyedOneInputStreamOperatorTestHarness<>(operator, new TupleKeySelector(), BasicTypeInfo.STRING_TYPE_INFO);

	long initialTime = 0L;
	ConcurrentLinkedQueue<Object> expectedOutput = new ConcurrentLinkedQueue<>();

	testHarness.open();

	testHarness.processElement(new StreamRecord<>(new Tuple2<>("key2", 1), initialTime + 3000));
	testHarness.processElement(new StreamRecord<>(new Tuple2<>("key2", 4), initialTime + 3999));

	testHarness.processElement(new StreamRecord<>(new Tuple2<>("key1", 1), initialTime + 20));
	testHarness.processElement(new StreamRecord<>(new Tuple2<>("key1", 1), initialTime));
	testHarness.processElement(new StreamRecord<>(new Tuple2<>("key1", 5), initialTime + 999));

	testHarness.processElement(new StreamRecord<>(new Tuple2<>("key2", 5), initialTime + 1998));
	testHarness.processElement(new StreamRecord<>(new Tuple2<>("key2", 6), initialTime + 1999));
	testHarness.processElement(new StreamRecord<>(new Tuple2<>("key2", 1), initialTime + 1000));

	expectedOutput.add(new StreamRecord<>(new Tuple2<>("key2", 5), Long.MAX_VALUE));
	expectedOutput.add(new StreamRecord<>(new Tuple2<>("key2", 15), Long.MAX_VALUE));
	expectedOutput.add(new StreamRecord<>(new Tuple2<>("key1", 2), Long.MAX_VALUE));

	TestHarnessUtil.assertOutputEqualsSorted("Output was not correct.", expectedOutput, testHarness.getOutput(), new ResultSortComparator());

	testHarness.processElement(new StreamRecord<>(new Tuple2<>("key1", 9), initialTime + 10999));
	testHarness.processElement(new StreamRecord<>(new Tuple2<>("key2", 10), initialTime + 1000));

	expectedOutput.add(new StreamRecord<>(new Tuple2<>("key1", 16), Long.MAX_VALUE));
	expectedOutput.add(new StreamRecord<>(new Tuple2<>("key2", 22), Long.MAX_VALUE));

	TestHarnessUtil.assertOutputEqualsSorted("Output was not correct.", expectedOutput, testHarness.getOutput(), new ResultSortComparator());

	testHarness.close();

	Assert.assertEquals("Close was not called.", 1, closeCalled.get());
}

开发者ID:axbaretto，项目名称:flink，代码行数:75，代码来源:EvictingWindowOperatorTest.java

示例7: testCountTrigger

import org.apache.flink.streaming.api.windowing.windows.GlobalWindow; //导入方法依赖的package包/类
@Test
@SuppressWarnings("unchecked")
public void testCountTrigger() throws Exception {

	final int windowSize = 4;
	final int windowSlide = 2;

	TypeInformation<Tuple2<String, Integer>> inputType = TypeInfoParser.parse("Tuple2<String, Integer>");

	@SuppressWarnings({"unchecked", "rawtypes"})
	TypeSerializer<StreamRecord<Tuple2<String, Integer>>> streamRecordSerializer =
			(TypeSerializer<StreamRecord<Tuple2<String, Integer>>>) new StreamElementSerializer(inputType.createSerializer(new ExecutionConfig()));

	ListStateDescriptor<StreamRecord<Tuple2<String, Integer>>> stateDesc =
			new ListStateDescriptor<>("window-contents", streamRecordSerializer);

	EvictingWindowOperator<String, Tuple2<String, Integer>, Tuple2<String, Integer>, GlobalWindow> operator = new EvictingWindowOperator<>(
			GlobalWindows.create(),
			new GlobalWindow.Serializer(),
			new TupleKeySelector(),
			BasicTypeInfo.STRING_TYPE_INFO.createSerializer(new ExecutionConfig()),
			stateDesc,
			new InternalIterableWindowFunction<>(
					new ReduceApplyWindowFunction<>(
							new SumReducer(),
							// on some versions of Java we seem to need the explicit type
							new PassThroughWindowFunction<String, GlobalWindow, Tuple2<String, Integer>>())),
			CountTrigger.of(windowSlide),
			CountEvictor.of(windowSize),
			0,
			null /* late data output tag */);

	OneInputStreamOperatorTestHarness<Tuple2<String, Integer>, Tuple2<String, Integer>> testHarness =
			new KeyedOneInputStreamOperatorTestHarness<>(operator, new TupleKeySelector(), BasicTypeInfo.STRING_TYPE_INFO);

	long initialTime = 0L;
	ConcurrentLinkedQueue<Object> expectedOutput = new ConcurrentLinkedQueue<>();

	testHarness.open();

	// The global window actually ignores these timestamps...

	// add elements out-of-order
	testHarness.processElement(new StreamRecord<>(new Tuple2<>("key2", 1), initialTime + 3000));
	testHarness.processElement(new StreamRecord<>(new Tuple2<>("key2", 1), initialTime + 3999));

	testHarness.processElement(new StreamRecord<>(new Tuple2<>("key1", 1), initialTime + 20));
	testHarness.processElement(new StreamRecord<>(new Tuple2<>("key1", 1), initialTime));
	testHarness.processElement(new StreamRecord<>(new Tuple2<>("key1", 1), initialTime + 999));

	testHarness.processElement(new StreamRecord<>(new Tuple2<>("key2", 1), initialTime + 1998));
	testHarness.processElement(new StreamRecord<>(new Tuple2<>("key2", 1), initialTime + 1999));
	testHarness.processElement(new StreamRecord<>(new Tuple2<>("key2", 1), initialTime + 1000));

	expectedOutput.add(new StreamRecord<>(new Tuple2<>("key2", 2), Long.MAX_VALUE));
	expectedOutput.add(new StreamRecord<>(new Tuple2<>("key2", 4), Long.MAX_VALUE));
	expectedOutput.add(new StreamRecord<>(new Tuple2<>("key1", 2), Long.MAX_VALUE));

	TestHarnessUtil.assertOutputEqualsSorted("Output was not correct.", expectedOutput, testHarness.getOutput(), new ResultSortComparator());

	testHarness.processElement(new StreamRecord<>(new Tuple2<>("key1", 1), initialTime + 10999));
	testHarness.processElement(new StreamRecord<>(new Tuple2<>("key2", 1), initialTime + 1000));

	expectedOutput.add(new StreamRecord<>(new Tuple2<>("key1", 4), Long.MAX_VALUE));
	expectedOutput.add(new StreamRecord<>(new Tuple2<>("key2", 4), Long.MAX_VALUE));

	TestHarnessUtil.assertOutputEqualsSorted("Output was not correct.", expectedOutput, testHarness.getOutput(), new ResultSortComparator());

	testHarness.close();
}

开发者ID:axbaretto，项目名称:flink，代码行数:71，代码来源:EvictingWindowOperatorTest.java

示例8: testCountTriggerWithApply

import org.apache.flink.streaming.api.windowing.windows.GlobalWindow; //导入方法依赖的package包/类
@Test
@SuppressWarnings("unchecked")
public void testCountTriggerWithApply() throws Exception {
	AtomicInteger closeCalled = new AtomicInteger(0);

	final int windowSize = 4;
	final int windowSlide = 2;

	TypeInformation<Tuple2<String, Integer>> inputType = TypeInfoParser.parse("Tuple2<String, Integer>");

	@SuppressWarnings({"unchecked", "rawtypes"})
	TypeSerializer<StreamRecord<Tuple2<String, Integer>>> streamRecordSerializer =
			(TypeSerializer<StreamRecord<Tuple2<String, Integer>>>) new StreamElementSerializer(inputType.createSerializer(new ExecutionConfig()));

	ListStateDescriptor<StreamRecord<Tuple2<String, Integer>>> stateDesc =
			new ListStateDescriptor<>("window-contents", streamRecordSerializer);

	EvictingWindowOperator<String, Tuple2<String, Integer>, Tuple2<String, Integer>, GlobalWindow> operator = new EvictingWindowOperator<>(
		GlobalWindows.create(),
		new GlobalWindow.Serializer(),
		new TupleKeySelector(),
		BasicTypeInfo.STRING_TYPE_INFO.createSerializer(new ExecutionConfig()),
		stateDesc,
		new InternalIterableWindowFunction<>(new RichSumReducer<GlobalWindow>(closeCalled)),
		CountTrigger.of(windowSlide),
		CountEvictor.of(windowSize),
		0,
		null /* late data output tag */);

	OneInputStreamOperatorTestHarness<Tuple2<String, Integer>, Tuple2<String, Integer>> testHarness =
			new KeyedOneInputStreamOperatorTestHarness<>(operator, new TupleKeySelector(), BasicTypeInfo.STRING_TYPE_INFO);

	long initialTime = 0L;
	ConcurrentLinkedQueue<Object> expectedOutput = new ConcurrentLinkedQueue<>();

	testHarness.open();

	// The global window actually ignores these timestamps...

	// add elements out-of-order
	testHarness.processElement(new StreamRecord<>(new Tuple2<>("key2", 1), initialTime + 3000));
	testHarness.processElement(new StreamRecord<>(new Tuple2<>("key2", 1), initialTime + 3999));

	testHarness.processElement(new StreamRecord<>(new Tuple2<>("key1", 1), initialTime + 20));
	testHarness.processElement(new StreamRecord<>(new Tuple2<>("key1", 1), initialTime));
	testHarness.processElement(new StreamRecord<>(new Tuple2<>("key1", 1), initialTime + 999));

	testHarness.processElement(new StreamRecord<>(new Tuple2<>("key2", 1), initialTime + 1998));
	testHarness.processElement(new StreamRecord<>(new Tuple2<>("key2", 1), initialTime + 1999));
	testHarness.processElement(new StreamRecord<>(new Tuple2<>("key2", 1), initialTime + 1000));

	expectedOutput.add(new StreamRecord<>(new Tuple2<>("key2", 2), Long.MAX_VALUE));
	expectedOutput.add(new StreamRecord<>(new Tuple2<>("key2", 4), Long.MAX_VALUE));
	expectedOutput.add(new StreamRecord<>(new Tuple2<>("key1", 2), Long.MAX_VALUE));

	TestHarnessUtil.assertOutputEqualsSorted("Output was not correct.", expectedOutput, testHarness.getOutput(), new ResultSortComparator());

	testHarness.processElement(new StreamRecord<>(new Tuple2<>("key1", 1), initialTime + 10999));
	testHarness.processElement(new StreamRecord<>(new Tuple2<>("key2", 1), initialTime + 1000));

	expectedOutput.add(new StreamRecord<>(new Tuple2<>("key1", 4), Long.MAX_VALUE));
	expectedOutput.add(new StreamRecord<>(new Tuple2<>("key2", 4), Long.MAX_VALUE));

	TestHarnessUtil.assertOutputEqualsSorted("Output was not correct.", expectedOutput, testHarness.getOutput(), new ResultSortComparator());

	testHarness.close();

	Assert.assertEquals("Close was not called.", 1, closeCalled.get());
}

开发者ID:axbaretto，项目名称:flink，代码行数:70，代码来源:EvictingWindowOperatorTest.java

注：本文中的org.apache.flink.streaming.api.windowing.windows.GlobalWindow.Serializer方法示例由纯净天空整理自Github/MSDocs等开源代码及文档管理平台，相关代码片段筛选自各路编程大神贡献的开源项目，源码版权归原作者所有，传播和使用请参考对应项目的License；未经允许，请勿转载。