当前位置: 首页>>代码示例>>Java>>正文

Java GroupReduceDriver.run方法代码示例

本文整理汇总了Java中org.apache.flink.runtime.operators.GroupReduceDriver.run方法的典型用法代码示例。如果您正苦于以下问题：Java GroupReduceDriver.run方法的具体用法？Java GroupReduceDriver.run怎么用？Java GroupReduceDriver.run使用的例子？那么, 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.runtime.operators.GroupReduceDriver的用法示例。


在下文中一共展示了GroupReduceDriver.run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: testAllReduceDriverImmutableEmpty

import org.apache.flink.runtime.operators.GroupReduceDriver; //导入方法依赖的package包/类
@Test
public void testAllReduceDriverImmutableEmpty() {
	try {
		TestTaskContext<GroupReduceFunction<Tuple2<String, Integer>, Tuple2<String, Integer>>, Tuple2<String, Integer>> context =
				new TestTaskContext<GroupReduceFunction<Tuple2<String, Integer>, Tuple2<String, Integer>>, Tuple2<String,Integer>>();
		
		List<Tuple2<String, Integer>> data = DriverTestData.createReduceImmutableData();
		TupleTypeInfo<Tuple2<String, Integer>> typeInfo = (TupleTypeInfo<Tuple2<String, Integer>>) TypeExtractor.getForObject(data.get(0));
		MutableObjectIterator<Tuple2<String, Integer>> input = EmptyMutableObjectIterator.get();
		TypeComparator<Tuple2<String, Integer>> comparator = typeInfo.createComparator(new int[]{0}, new boolean[] {true}, 0, new ExecutionConfig());
		context.setDriverStrategy(DriverStrategy.SORTED_GROUP_REDUCE);
		
		GatheringCollector<Tuple2<String, Integer>> result = new GatheringCollector<Tuple2<String,Integer>>(typeInfo.createSerializer(new ExecutionConfig()));
		
		context.setInput1(input, typeInfo.createSerializer(new ExecutionConfig()));
		context.setComparator1(comparator);
		context.setCollector(result);
		
		GroupReduceDriver<Tuple2<String, Integer>, Tuple2<String, Integer>> driver = new GroupReduceDriver<Tuple2<String, Integer>, Tuple2<String, Integer>>();
		driver.setup(context);
		driver.prepare();
		driver.run();
		
		Assert.assertTrue(result.getList().isEmpty());
	}
	catch (Exception e) {
		System.err.println(e.getMessage());
		e.printStackTrace();
		Assert.fail(e.getMessage());
	}
}
开发者ID:axbaretto，项目名称:flink，代码行数:32，代码来源:GroupReduceDriverTest.java

示例2: testAllReduceDriverImmutable

import org.apache.flink.runtime.operators.GroupReduceDriver; //导入方法依赖的package包/类
@Test
public void testAllReduceDriverImmutable() {
	try {
		TestTaskContext<GroupReduceFunction<Tuple2<String, Integer>, Tuple2<String, Integer>>, Tuple2<String, Integer>> context =
				new TestTaskContext<GroupReduceFunction<Tuple2<String, Integer>, Tuple2<String, Integer>>, Tuple2<String,Integer>>();
		
		List<Tuple2<String, Integer>> data = DriverTestData.createReduceImmutableData();
		TupleTypeInfo<Tuple2<String, Integer>> typeInfo = (TupleTypeInfo<Tuple2<String, Integer>>) TypeExtractor.getForObject(data.get(0));
		MutableObjectIterator<Tuple2<String, Integer>> input = new RegularToMutableObjectIterator<Tuple2<String, Integer>>(data.iterator(), typeInfo.createSerializer(new ExecutionConfig()));
		TypeComparator<Tuple2<String, Integer>> comparator = typeInfo.createComparator(new int[]{0}, new boolean[] {true}, 0, new ExecutionConfig());
		
		GatheringCollector<Tuple2<String, Integer>> result = new GatheringCollector<Tuple2<String,Integer>>(typeInfo.createSerializer(new ExecutionConfig()));
		
		context.setDriverStrategy(DriverStrategy.SORTED_GROUP_REDUCE);
		context.setInput1(input, typeInfo.createSerializer(new ExecutionConfig()));
		context.setCollector(result);
		context.setComparator1(comparator);
		context.setUdf(new ConcatSumReducer());
		
		GroupReduceDriver<Tuple2<String, Integer>, Tuple2<String, Integer>> driver = new GroupReduceDriver<Tuple2<String, Integer>, Tuple2<String, Integer>>();
		driver.setup(context);
		driver.prepare();
		driver.run();
		
		Object[] res = result.getList().toArray();
		Object[] expected = DriverTestData.createReduceImmutableDataGroupedResult().toArray();
		
		DriverTestData.compareTupleArrays(expected, res);
	}
	catch (Exception e) {
		System.err.println(e.getMessage());
		e.printStackTrace();
		Assert.fail(e.getMessage());
	}
}
开发者ID:axbaretto，项目名称:flink，代码行数:36，代码来源:GroupReduceDriverTest.java

示例3: testAllReduceDriverMutable

import org.apache.flink.runtime.operators.GroupReduceDriver; //导入方法依赖的package包/类
@Test
public void testAllReduceDriverMutable() {
	try {
		TestTaskContext<GroupReduceFunction<Tuple2<StringValue, IntValue>, Tuple2<StringValue, IntValue>>, Tuple2<StringValue, IntValue>> context =
				new TestTaskContext<GroupReduceFunction<Tuple2<StringValue, IntValue>, Tuple2<StringValue, IntValue>>, Tuple2<StringValue, IntValue>>();
		
		List<Tuple2<StringValue, IntValue>> data = DriverTestData.createReduceMutableData();
		TupleTypeInfo<Tuple2<StringValue, IntValue>> typeInfo = (TupleTypeInfo<Tuple2<StringValue, IntValue>>) TypeExtractor.getForObject(data.get(0));
		MutableObjectIterator<Tuple2<StringValue, IntValue>> input = new RegularToMutableObjectIterator<Tuple2<StringValue, IntValue>>(data.iterator(), typeInfo.createSerializer(new ExecutionConfig()));
		TypeComparator<Tuple2<StringValue, IntValue>> comparator = typeInfo.createComparator(new int[]{0}, new boolean[] {true}, 0, new ExecutionConfig());
		
		GatheringCollector<Tuple2<StringValue, IntValue>> result = new GatheringCollector<Tuple2<StringValue, IntValue>>(typeInfo.createSerializer(new ExecutionConfig()));
		
		context.setDriverStrategy(DriverStrategy.SORTED_GROUP_REDUCE);
		context.setInput1(input, typeInfo.createSerializer(new ExecutionConfig()));
		context.setComparator1(comparator);
		context.setCollector(result);
		context.setUdf(new ConcatSumMutableReducer());
		
		GroupReduceDriver<Tuple2<StringValue, IntValue>, Tuple2<StringValue, IntValue>> driver = new GroupReduceDriver<Tuple2<StringValue, IntValue>, Tuple2<StringValue, IntValue>>();
		driver.setup(context);
		driver.prepare();
		driver.run();
		
		Object[] res = result.getList().toArray();
		Object[] expected = DriverTestData.createReduceMutableDataGroupedResult().toArray();
		
		DriverTestData.compareTupleArrays(expected, res);
	}
	catch (Exception e) {
		System.err.println(e.getMessage());
		e.printStackTrace();
		Assert.fail(e.getMessage());
	}
}
开发者ID:axbaretto，项目名称:flink，代码行数:36，代码来源:GroupReduceDriverTest.java

示例4: testAllReduceDriverAccumulatingImmutable

import org.apache.flink.runtime.operators.GroupReduceDriver; //导入方法依赖的package包/类
@Test
public void testAllReduceDriverAccumulatingImmutable() {
	try {
		TestTaskContext<GroupReduceFunction<Tuple2<StringValue, IntValue>, Tuple2<StringValue, IntValue>>, Tuple2<StringValue, IntValue>> context =
				new TestTaskContext<GroupReduceFunction<Tuple2<StringValue, IntValue>, Tuple2<StringValue, IntValue>>, Tuple2<StringValue, IntValue>>();
		
		List<Tuple2<StringValue, IntValue>> data = DriverTestData.createReduceMutableData();
		TupleTypeInfo<Tuple2<StringValue, IntValue>> typeInfo = (TupleTypeInfo<Tuple2<StringValue, IntValue>>) TypeExtractor.getForObject(data.get(0));
		MutableObjectIterator<Tuple2<StringValue, IntValue>> input = new RegularToMutableObjectIterator<Tuple2<StringValue, IntValue>>(data.iterator(), typeInfo.createSerializer(new ExecutionConfig()));
		TypeComparator<Tuple2<StringValue, IntValue>> comparator = typeInfo.createComparator(new int[]{0}, new boolean[] {true}, 0, new ExecutionConfig());
		
		GatheringCollector<Tuple2<StringValue, IntValue>> result = new GatheringCollector<Tuple2<StringValue, IntValue>>(typeInfo.createSerializer(new ExecutionConfig()));
		
		context.setDriverStrategy(DriverStrategy.SORTED_GROUP_REDUCE);
		context.setInput1(input, typeInfo.createSerializer(new ExecutionConfig()));
		context.setComparator1(comparator);
		context.setCollector(result);
		context.setUdf(new ConcatSumMutableAccumulatingReducer());
		context.setMutableObjectMode(false);
		
		GroupReduceDriver<Tuple2<StringValue, IntValue>, Tuple2<StringValue, IntValue>> driver = new GroupReduceDriver<Tuple2<StringValue, IntValue>, Tuple2<StringValue, IntValue>>();
		driver.setup(context);
		driver.prepare();
		driver.run();
		
		Object[] res = result.getList().toArray();
		Object[] expected = DriverTestData.createReduceMutableDataGroupedResult().toArray();
		
		DriverTestData.compareTupleArrays(expected, res);
	}
	catch (Exception e) {
		System.err.println(e.getMessage());
		e.printStackTrace();
		Assert.fail(e.getMessage());
	}
}
开发者ID:axbaretto，项目名称:flink，代码行数:37，代码来源:GroupReduceDriverTest.java

示例5: testAllReduceDriverImmutableEmpty

import org.apache.flink.runtime.operators.GroupReduceDriver; //导入方法依赖的package包/类
@Test
public void testAllReduceDriverImmutableEmpty() {
	try {
		TestTaskContext<GroupReduceFunction<Tuple2<String, Integer>, Tuple2<String, Integer>>, Tuple2<String, Integer>> context =
				new TestTaskContext<GroupReduceFunction<Tuple2<String, Integer>, Tuple2<String, Integer>>, Tuple2<String,Integer>>();
		
		List<Tuple2<String, Integer>> data = DriverTestData.createReduceImmutableData();
		TupleTypeInfo<Tuple2<String, Integer>> typeInfo = (TupleTypeInfo<Tuple2<String, Integer>>) TypeExtractor.getForObject(data.get(0));
		MutableObjectIterator<Tuple2<String, Integer>> input = EmptyMutableObjectIterator.get();
		TypeComparator<Tuple2<String, Integer>> comparator = typeInfo.createComparator(new int[]{0}, new boolean[] {true}, 0);
		context.setDriverStrategy(DriverStrategy.SORTED_GROUP_REDUCE);
		
		GatheringCollector<Tuple2<String, Integer>> result = new GatheringCollector<Tuple2<String,Integer>>(typeInfo.createSerializer());
		
		context.setInput1(input, typeInfo.createSerializer());
		context.setComparator1(comparator);
		context.setCollector(result);
		
		GroupReduceDriver<Tuple2<String, Integer>, Tuple2<String, Integer>> driver = new GroupReduceDriver<Tuple2<String, Integer>, Tuple2<String, Integer>>();
		driver.setup(context);
		driver.prepare();
		driver.run();
		
		Assert.assertTrue(result.getList().isEmpty());
	}
	catch (Exception e) {
		System.err.println(e.getMessage());
		e.printStackTrace();
		Assert.fail(e.getMessage());
	}
}
开发者ID:citlab，项目名称:vs.msc.ws14，代码行数:32，代码来源:GroupReduceDriverTest.java

示例6: testAllReduceDriverImmutable

import org.apache.flink.runtime.operators.GroupReduceDriver; //导入方法依赖的package包/类
@Test
public void testAllReduceDriverImmutable() {
	try {
		TestTaskContext<GroupReduceFunction<Tuple2<String, Integer>, Tuple2<String, Integer>>, Tuple2<String, Integer>> context =
				new TestTaskContext<GroupReduceFunction<Tuple2<String, Integer>, Tuple2<String, Integer>>, Tuple2<String,Integer>>();
		
		List<Tuple2<String, Integer>> data = DriverTestData.createReduceImmutableData();
		TupleTypeInfo<Tuple2<String, Integer>> typeInfo = (TupleTypeInfo<Tuple2<String, Integer>>) TypeExtractor.getForObject(data.get(0));
		MutableObjectIterator<Tuple2<String, Integer>> input = new RegularToMutableObjectIterator<Tuple2<String, Integer>>(data.iterator(), typeInfo.createSerializer());
		TypeComparator<Tuple2<String, Integer>> comparator = typeInfo.createComparator(new int[]{0}, new boolean[] {true}, 0);
		
		GatheringCollector<Tuple2<String, Integer>> result = new GatheringCollector<Tuple2<String,Integer>>(typeInfo.createSerializer());
		
		context.setDriverStrategy(DriverStrategy.SORTED_GROUP_REDUCE);
		context.setInput1(input, typeInfo.createSerializer());
		context.setCollector(result);
		context.setComparator1(comparator);
		context.setUdf(new ConcatSumReducer());
		
		GroupReduceDriver<Tuple2<String, Integer>, Tuple2<String, Integer>> driver = new GroupReduceDriver<Tuple2<String, Integer>, Tuple2<String, Integer>>();
		driver.setup(context);
		driver.prepare();
		driver.run();
		
		Object[] res = result.getList().toArray();
		Object[] expected = DriverTestData.createReduceImmutableDataGroupedResult().toArray();
		
		DriverTestData.compareTupleArrays(expected, res);
	}
	catch (Exception e) {
		System.err.println(e.getMessage());
		e.printStackTrace();
		Assert.fail(e.getMessage());
	}
}
开发者ID:citlab，项目名称:vs.msc.ws14，代码行数:36，代码来源:GroupReduceDriverTest.java

示例7: testAllReduceDriverMutable

import org.apache.flink.runtime.operators.GroupReduceDriver; //导入方法依赖的package包/类
@Test
public void testAllReduceDriverMutable() {
	try {
		TestTaskContext<GroupReduceFunction<Tuple2<StringValue, IntValue>, Tuple2<StringValue, IntValue>>, Tuple2<StringValue, IntValue>> context =
				new TestTaskContext<GroupReduceFunction<Tuple2<StringValue, IntValue>, Tuple2<StringValue, IntValue>>, Tuple2<StringValue, IntValue>>();
		
		List<Tuple2<StringValue, IntValue>> data = DriverTestData.createReduceMutableData();
		TupleTypeInfo<Tuple2<StringValue, IntValue>> typeInfo = (TupleTypeInfo<Tuple2<StringValue, IntValue>>) TypeExtractor.getForObject(data.get(0));
		MutableObjectIterator<Tuple2<StringValue, IntValue>> input = new RegularToMutableObjectIterator<Tuple2<StringValue, IntValue>>(data.iterator(), typeInfo.createSerializer());
		TypeComparator<Tuple2<StringValue, IntValue>> comparator = typeInfo.createComparator(new int[]{0}, new boolean[] {true}, 0);
		
		GatheringCollector<Tuple2<StringValue, IntValue>> result = new GatheringCollector<Tuple2<StringValue, IntValue>>(typeInfo.createSerializer());
		
		context.setDriverStrategy(DriverStrategy.SORTED_GROUP_REDUCE);
		context.setInput1(input, typeInfo.createSerializer());
		context.setComparator1(comparator);
		context.setCollector(result);
		context.setUdf(new ConcatSumMutableReducer());
		
		GroupReduceDriver<Tuple2<StringValue, IntValue>, Tuple2<StringValue, IntValue>> driver = new GroupReduceDriver<Tuple2<StringValue, IntValue>, Tuple2<StringValue, IntValue>>();
		driver.setup(context);
		driver.prepare();
		driver.run();
		
		Object[] res = result.getList().toArray();
		Object[] expected = DriverTestData.createReduceMutableDataGroupedResult().toArray();
		
		DriverTestData.compareTupleArrays(expected, res);
	}
	catch (Exception e) {
		System.err.println(e.getMessage());
		e.printStackTrace();
		Assert.fail(e.getMessage());
	}
}
开发者ID:citlab，项目名称:vs.msc.ws14，代码行数:36，代码来源:GroupReduceDriverTest.java

示例8: testAllReduceDriverAccumulatingImmutable

import org.apache.flink.runtime.operators.GroupReduceDriver; //导入方法依赖的package包/类
@Test
public void testAllReduceDriverAccumulatingImmutable() {
	try {
		TestTaskContext<GroupReduceFunction<Tuple2<StringValue, IntValue>, Tuple2<StringValue, IntValue>>, Tuple2<StringValue, IntValue>> context =
				new TestTaskContext<GroupReduceFunction<Tuple2<StringValue, IntValue>, Tuple2<StringValue, IntValue>>, Tuple2<StringValue, IntValue>>();
		
		List<Tuple2<StringValue, IntValue>> data = DriverTestData.createReduceMutableData();
		TupleTypeInfo<Tuple2<StringValue, IntValue>> typeInfo = (TupleTypeInfo<Tuple2<StringValue, IntValue>>) TypeExtractor.getForObject(data.get(0));
		MutableObjectIterator<Tuple2<StringValue, IntValue>> input = new RegularToMutableObjectIterator<Tuple2<StringValue, IntValue>>(data.iterator(), typeInfo.createSerializer());
		TypeComparator<Tuple2<StringValue, IntValue>> comparator = typeInfo.createComparator(new int[]{0}, new boolean[] {true}, 0);
		
		GatheringCollector<Tuple2<StringValue, IntValue>> result = new GatheringCollector<Tuple2<StringValue, IntValue>>(typeInfo.createSerializer());
		
		context.setDriverStrategy(DriverStrategy.SORTED_GROUP_REDUCE);
		context.setInput1(input, typeInfo.createSerializer());
		context.setComparator1(comparator);
		context.setCollector(result);
		context.setUdf(new ConcatSumMutableAccumulatingReducer());
		context.setMutableObjectMode(false);
		
		GroupReduceDriver<Tuple2<StringValue, IntValue>, Tuple2<StringValue, IntValue>> driver = new GroupReduceDriver<Tuple2<StringValue, IntValue>, Tuple2<StringValue, IntValue>>();
		driver.setup(context);
		driver.prepare();
		driver.run();
		
		Object[] res = result.getList().toArray();
		Object[] expected = DriverTestData.createReduceMutableDataGroupedResult().toArray();
		
		DriverTestData.compareTupleArrays(expected, res);
	}
	catch (Exception e) {
		System.err.println(e.getMessage());
		e.printStackTrace();
		Assert.fail(e.getMessage());
	}
}
开发者ID:citlab，项目名称:vs.msc.ws14，代码行数:37，代码来源:GroupReduceDriverTest.java


注：本文中的org.apache.flink.runtime.operators.GroupReduceDriver.run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。