本文整理汇总了Java中org.apache.flink.runtime.util.RegularToMutableObjectIterator类的典型用法代码示例。如果您正苦于以下问题:Java RegularToMutableObjectIterator类的具体用法?Java RegularToMutableObjectIterator怎么用?Java RegularToMutableObjectIterator使用的例子?那么恭喜您, 这里精选的类代码示例或许可以为您提供帮助。
RegularToMutableObjectIterator类属于org.apache.flink.runtime.util包,在下文中一共展示了RegularToMutableObjectIterator类的10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: testAllReduceDriverImmutable
import org.apache.flink.runtime.util.RegularToMutableObjectIterator; //导入依赖的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();
TypeInformation<Tuple2<String, Integer>> typeInfo = TypeExtractor.getForObject(data.get(0));
MutableObjectIterator<Tuple2<String, Integer>> input = new RegularToMutableObjectIterator<Tuple2<String, Integer>>(data.iterator(), typeInfo.createSerializer(new ExecutionConfig()));
GatheringCollector<Tuple2<String, Integer>> result = new GatheringCollector<Tuple2<String,Integer>>(typeInfo.createSerializer(new ExecutionConfig()));
context.setDriverStrategy(DriverStrategy.ALL_GROUP_REDUCE);
context.setInput1(input, typeInfo.createSerializer(new ExecutionConfig()));
context.setCollector(result);
context.setUdf(new ConcatSumReducer());
AllGroupReduceDriver<Tuple2<String, Integer>, Tuple2<String, Integer>> driver = new AllGroupReduceDriver<Tuple2<String, Integer>, Tuple2<String, Integer>>();
driver.setup(context);
driver.prepare();
driver.run();
Tuple2<String,Integer> res = result.getList().get(0);
char[] foundString = res.f0.toCharArray();
Arrays.sort(foundString);
char[] expectedString = "abcddeeeffff".toCharArray();
Arrays.sort(expectedString);
Assert.assertArrayEquals(expectedString, foundString);
Assert.assertEquals(78, res.f1.intValue());
}
catch (Exception e) {
System.err.println(e.getMessage());
e.printStackTrace();
Assert.fail(e.getMessage());
}
}
示例2: testAllReduceDriverMutable
import org.apache.flink.runtime.util.RegularToMutableObjectIterator; //导入依赖的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();
TypeInformation<Tuple2<StringValue, IntValue>> typeInfo = TypeExtractor.getForObject(data.get(0));
MutableObjectIterator<Tuple2<StringValue, IntValue>> input = new RegularToMutableObjectIterator<Tuple2<StringValue, IntValue>>(data.iterator(), typeInfo.createSerializer(new ExecutionConfig()));
GatheringCollector<Tuple2<StringValue, IntValue>> result = new GatheringCollector<Tuple2<StringValue, IntValue>>(typeInfo.createSerializer(new ExecutionConfig()));
context.setDriverStrategy(DriverStrategy.ALL_GROUP_REDUCE);
context.setInput1(input, typeInfo.createSerializer(new ExecutionConfig()));
context.setCollector(result);
context.setUdf(new ConcatSumMutableReducer());
AllGroupReduceDriver<Tuple2<StringValue, IntValue>, Tuple2<StringValue, IntValue>> driver = new AllGroupReduceDriver<Tuple2<StringValue, IntValue>, Tuple2<StringValue, IntValue>>();
driver.setup(context);
driver.prepare();
driver.run();
Tuple2<StringValue, IntValue> res = result.getList().get(0);
char[] foundString = res.f0.getValue().toCharArray();
Arrays.sort(foundString);
char[] expectedString = "abcddeeeffff".toCharArray();
Arrays.sort(expectedString);
Assert.assertArrayEquals(expectedString, foundString);
Assert.assertEquals(78, res.f1.getValue());
}
catch (Exception e) {
System.err.println(e.getMessage());
e.printStackTrace();
Assert.fail(e.getMessage());
}
}
示例3: testAllReduceDriverImmutable
import org.apache.flink.runtime.util.RegularToMutableObjectIterator; //导入依赖的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());
}
}
示例4: testAllReduceDriverMutable
import org.apache.flink.runtime.util.RegularToMutableObjectIterator; //导入依赖的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());
}
}
示例5: testAllReduceDriverAccumulatingImmutable
import org.apache.flink.runtime.util.RegularToMutableObjectIterator; //导入依赖的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());
}
}
示例6: testAllReduceDriverImmutable
import org.apache.flink.runtime.util.RegularToMutableObjectIterator; //导入依赖的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();
TypeInformation<Tuple2<String, Integer>> typeInfo = TypeExtractor.getForObject(data.get(0));
MutableObjectIterator<Tuple2<String, Integer>> input = new RegularToMutableObjectIterator<Tuple2<String, Integer>>(data.iterator(), typeInfo.createSerializer());
GatheringCollector<Tuple2<String, Integer>> result = new GatheringCollector<Tuple2<String,Integer>>(typeInfo.createSerializer());
context.setDriverStrategy(DriverStrategy.ALL_GROUP_REDUCE);
context.setInput1(input, typeInfo.createSerializer());
context.setCollector(result);
context.setUdf(new ConcatSumReducer());
AllGroupReduceDriver<Tuple2<String, Integer>, Tuple2<String, Integer>> driver = new AllGroupReduceDriver<Tuple2<String, Integer>, Tuple2<String, Integer>>();
driver.setup(context);
driver.prepare();
driver.run();
Tuple2<String,Integer> res = result.getList().get(0);
char[] foundString = res.f0.toCharArray();
Arrays.sort(foundString);
char[] expectedString = "abcddeeeffff".toCharArray();
Arrays.sort(expectedString);
Assert.assertArrayEquals(expectedString, foundString);
Assert.assertEquals(78, res.f1.intValue());
}
catch (Exception e) {
System.err.println(e.getMessage());
e.printStackTrace();
Assert.fail(e.getMessage());
}
}
示例7: testAllReduceDriverMutable
import org.apache.flink.runtime.util.RegularToMutableObjectIterator; //导入依赖的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();
TypeInformation<Tuple2<StringValue, IntValue>> typeInfo = TypeExtractor.getForObject(data.get(0));
MutableObjectIterator<Tuple2<StringValue, IntValue>> input = new RegularToMutableObjectIterator<Tuple2<StringValue, IntValue>>(data.iterator(), typeInfo.createSerializer());
GatheringCollector<Tuple2<StringValue, IntValue>> result = new GatheringCollector<Tuple2<StringValue, IntValue>>(typeInfo.createSerializer());
context.setDriverStrategy(DriverStrategy.ALL_GROUP_REDUCE);
context.setInput1(input, typeInfo.createSerializer());
context.setCollector(result);
context.setUdf(new ConcatSumMutableReducer());
AllGroupReduceDriver<Tuple2<StringValue, IntValue>, Tuple2<StringValue, IntValue>> driver = new AllGroupReduceDriver<Tuple2<StringValue, IntValue>, Tuple2<StringValue, IntValue>>();
driver.setup(context);
driver.prepare();
driver.run();
Tuple2<StringValue, IntValue> res = result.getList().get(0);
char[] foundString = res.f0.getValue().toCharArray();
Arrays.sort(foundString);
char[] expectedString = "abcddeeeffff".toCharArray();
Arrays.sort(expectedString);
Assert.assertArrayEquals(expectedString, foundString);
Assert.assertEquals(78, res.f1.getValue());
}
catch (Exception e) {
System.err.println(e.getMessage());
e.printStackTrace();
Assert.fail(e.getMessage());
}
}
示例8: testAllReduceDriverImmutable
import org.apache.flink.runtime.util.RegularToMutableObjectIterator; //导入依赖的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());
}
}
示例9: testAllReduceDriverMutable
import org.apache.flink.runtime.util.RegularToMutableObjectIterator; //导入依赖的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());
}
}
示例10: testAllReduceDriverAccumulatingImmutable
import org.apache.flink.runtime.util.RegularToMutableObjectIterator; //导入依赖的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());
}
}