本文整理汇总了Java中org.apache.flink.api.java.DataSet.reduceGroup方法的典型用法代码示例。如果您正苦于以下问题：Java DataSet.reduceGroup方法的具体用法？Java DataSet.reduceGroup怎么用？Java DataSet.reduceGroup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.api.java.DataSet的用法示例。
在下文中一共展示了DataSet.reduceGroup方法的6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: testUngroupedHadoopReducer
import org.apache.flink.api.java.DataSet; //导入方法依赖的package包/类
@Test
public void testUngroupedHadoopReducer() throws Exception {
final ExecutionEnvironment env = ExecutionEnvironment.getExecutionEnvironment();
DataSet<Tuple2<IntWritable, IntWritable>> ds = HadoopTestData.getKVPairDataSet(env).
map(new Mapper2());
DataSet<Tuple2<IntWritable, IntWritable>> sum = ds.
reduceGroup(new HadoopReduceCombineFunction<IntWritable, IntWritable, IntWritable, IntWritable>(
new SumReducer(), new SumReducer()));
String resultPath = tempFolder.newFile().toURI().toString();
sum.writeAsText(resultPath);
env.execute();
String expected = "(0,231)\n";
compareResultsByLinesInMemory(expected, resultPath);
}
示例2: testCorrectnessOfAllGroupReduceForTuples
import org.apache.flink.api.java.DataSet; //导入方法依赖的package包/类
@Test
public void testCorrectnessOfAllGroupReduceForTuples() throws Exception {
/*
* check correctness of all-groupreduce for tuples
*/
final ExecutionEnvironment env = ExecutionEnvironment.getExecutionEnvironment();
DataSet<Tuple3<Integer, Long, String>> ds = CollectionDataSets.get3TupleDataSet(env);
DataSet<Tuple3<Integer, Long, String>> reduceDs = ds.reduceGroup(new AllAddingTuple3GroupReduce());
List<Tuple3<Integer, Long, String>> result = reduceDs.collect();
String expected = "231,91,Hello World\n";
compareResultAsTuples(result, expected);
}
示例3: testCorrectnessOfAllGroupReduceForCustomTypes
import org.apache.flink.api.java.DataSet; //导入方法依赖的package包/类
@Test
public void testCorrectnessOfAllGroupReduceForCustomTypes() throws Exception {
/*
* check correctness of all-groupreduce for custom types
*/
final ExecutionEnvironment env = ExecutionEnvironment.getExecutionEnvironment();
DataSet<CustomType> ds = CollectionDataSets.getCustomTypeDataSet(env);
DataSet<CustomType> reduceDs = ds.reduceGroup(new AllAddingCustomTypeGroupReduce());
List<CustomType> result = reduceDs.collect();
String expected = "91,210,Hello!";
compareResultAsText(result, expected);
}
示例4: testForkingReduceOnNonKeyedDataset
import org.apache.flink.api.java.DataSet; //导入方法依赖的package包/类
@Test
public void testForkingReduceOnNonKeyedDataset() throws Exception {
// set up the execution environment
final ExecutionEnvironment env = ExecutionEnvironment.getExecutionEnvironment();
env.setParallelism(4);
// creates the input data and distributes them evenly among the available downstream tasks
DataSet<Tuple2<Integer, Boolean>> input = createNonKeyedInput(env);
DataSet<Tuple2<Integer, Boolean>> r1 = input.reduceGroup(new NonKeyedCombReducer());
DataSet<Tuple2<Integer, Boolean>> r2 = input.reduceGroup(new NonKeyedGroupCombReducer());
List<Tuple2<Integer, Boolean>> actual = r1.union(r2).collect();
String expected = "10,true\n10,true\n";
compareResultAsTuples(actual, expected);
}
示例5: testProgram
import org.apache.flink.api.java.DataSet; //导入方法依赖的package包/类
@Override
protected void testProgram() throws Exception {
final ExecutionEnvironment env = ExecutionEnvironment.getExecutionEnvironment();
DataSet<String> stringDs = env.fromElements("aa", "ab", "ac", "ad");
DataSet<String> concatDs = stringDs.reduceGroup((values, out) -> {
String conc = "";
for (String s : values) {
conc = conc.concat(s);
}
out.collect(conc);
});
concatDs.writeAsText(resultPath);
env.execute();
}
示例6: testUngroupedHadoopReducer
import org.apache.flink.api.java.DataSet; //导入方法依赖的package包/类
@Test
public void testUngroupedHadoopReducer() throws Exception {
final ExecutionEnvironment env = ExecutionEnvironment.getExecutionEnvironment();
DataSet<Tuple2<IntWritable, Text>> ds = HadoopTestData.getKVPairDataSet(env);
DataSet<Tuple2<IntWritable, IntWritable>> commentCnts = ds.
reduceGroup(new HadoopReduceFunction<IntWritable, Text, IntWritable, IntWritable>(new AllCommentCntReducer()));
String resultPath = tempFolder.newFile().toURI().toString();
commentCnts.writeAsText(resultPath);
env.execute();
String expected = "(42,15)\n";
compareResultsByLinesInMemory(expected, resultPath);
}