本文整理了Java中org.apache.flink.api.java.operators.GroupReduceOperator.setCombinable()方法的一些代码示例，展示了GroupReduceOperator.setCombinable()的具体用法。这些代码示例主要来源于Github/Stackoverflow/Maven等平台，是从一些精选项目中提取出来的代码，具有较强的参考意义，能在一定程度帮忙到你。GroupReduceOperator.setCombinable()方法的具体详情如下：
包路径：org.apache.flink.api.java.operators.GroupReduceOperator
类名称：GroupReduceOperator
方法名：setCombinable

GroupReduceOperator.setCombinable介绍

暂无

代码示例

代码示例来源：origin: apache/flink

private <IN, OUT> DataSet<OUT> applyReduceOperation(DataSet<IN> op1, PythonOperationInfo info, TypeInformation<OUT> type) {
  return op1
    .reduceGroup(new IdentityGroupReduce<IN>()).setCombinable(false).setParallelism(info.parallelism).name("PythonReducePreStep")
    .mapPartition(new PythonMapPartition<IN, OUT>(operatorConfig, info.envID, info.setID, type))
    .setParallelism(info.parallelism).name(info.name);
}

代码示例来源：origin: apache/flink

private <IN, OUT> DataSet<OUT> applyGroupReduceOperation(DataSet<IN> op1, PythonOperationInfo info, TypeInformation<OUT> type) {
  return op1
    .reduceGroup(new IdentityGroupReduce<IN>()).setCombinable(false).name("PythonGroupReducePreStep").setParallelism(info.parallelism)
    .mapPartition(new PythonMapPartition<IN, OUT>(operatorConfig, info.envID, info.setID, type))
    .setParallelism(info.parallelism).name(info.name);
}

代码示例来源：origin: apache/flink

private <IN, OUT> DataSet<OUT> applyGroupReduceOperation(SortedGrouping<IN> op1, PythonOperationInfo info, TypeInformation<OUT> type) {
  return op1
    .reduceGroup(new IdentityGroupReduce<IN>()).setCombinable(false).setParallelism(info.parallelism).name("PythonGroupReducePreStep")
    .mapPartition(new PythonMapPartition<IN, OUT>(operatorConfig, info.envID, info.setID, type))
    .setParallelism(info.parallelism).name(info.name);
}

代码示例来源：origin: apache/flink

private <IN, OUT> DataSet<OUT> applyReduceOperation(UnsortedGrouping<IN> op1, PythonOperationInfo info, TypeInformation<OUT> type) {
    return op1
      .reduceGroup(new IdentityGroupReduce<IN>()).setCombinable(false).setParallelism(info.parallelism).name("PythonReducePreStep")
      .mapPartition(new PythonMapPartition<IN, OUT>(operatorConfig, info.envID, info.setID, type))
      .setParallelism(info.parallelism).name(info.name);
  }
}

代码示例来源：origin: apache/flink

private <IN, OUT> DataSet<OUT> applyGroupReduceOperation(UnsortedGrouping<IN> op1, PythonOperationInfo info, TypeInformation<OUT> type) {
  return op1
    .reduceGroup(new IdentityGroupReduce<IN>()).setCombinable(false).setParallelism(info.parallelism).name("PythonGroupReducePreStep")
    .mapPartition(new PythonMapPartition<IN, OUT>(operatorConfig, info.envID, info.setID, type))
    .setParallelism(info.parallelism).name(info.name);
}

代码示例来源：origin: apache/flink

reduced.setCombinable(true);
reduced.output(new DiscardingOutputFormat<Long>()).name("sink");

代码示例来源：origin: apache/flink

.reduceGroup(new CombineReducer()).name("reducer");
reduced.setCombinable(true);
reduced.output(new DiscardingOutputFormat<Tuple2<String, Double>>()).name("sink");

代码示例来源：origin: apache/flink

.setCombinable(true);

代码示例来源：origin: apache/flink

.reduceGroup(new CombineReducer()).name("reducer");
reduced.setCombinable(true);
reduced.output(new DiscardingOutputFormat<Tuple2<String, Double>>()).name("sink");

代码示例来源：origin: org.apache.flink/flink-gelly_2.10

.setCombinable(true);

代码示例来源：origin: com.alibaba.blink/flink-gelly

.setCombinable(true);

代码示例来源：origin: org.apache.flink/flink-gelly_2.11

.setCombinable(true);