这个是可以直接控制内部连边的方式,可以参考一下这个的Java doc。不过这个是一个内部接口,还是建议使用 env.setRuntimeMode(RuntimeExecutionMode.BATCH),这个可以参考一下这个文档: https://nightlies.apache.org/flink/flink-docs-release-1.14/docs/dev/datastream/execution_mode/ 。
public enum GlobalStreamExchangeMode { /** Set all job edges to be {@link ResultPartitionType#BLOCKING}. */ ALL_EDGES_BLOCKING, /** * Set job edges with {@link ForwardPartitioner} to be {@link * ResultPartitionType#PIPELINED_BOUNDED} and other edges to be {@link * ResultPartitionType#BLOCKING}. */ FORWARD_EDGES_PIPELINED, /** * Set job edges with {@link ForwardPartitioner} or {@link RescalePartitioner} to be {@link * ResultPartitionType#PIPELINED_BOUNDED} and other edges to be {@link * ResultPartitionType#BLOCKING}. */ POINTWISE_EDGES_PIPELINED, /** Set all job edges {@link ResultPartitionType#PIPELINED_BOUNDED}. */ ALL_EDGES_PIPELINED, /** Set all job edges {@link ResultPartitionType#PIPELINED_APPROXIMATE}. */ ALL_EDGES_PIPELINED_APPROXIMATE } casel.chen <casel_c...@126.com> 于2021年12月2日周四 上午8:26写道: > GlobalStreamExchangeMode 这几种交换模式的不同和使用场景是什么?哪些适合流式作业,哪些适合批式作业? > Flink Remote Shuffle Service的推出是不是意味着可以在生产环境使用Flink处理批式作业?谢谢! > > > package org.apache.flink.streaming.api.graph; > > > > > import org.apache.flink.annotation.Internal; > > > > > @Internal > > public enum GlobalStreamExchangeMode { > > ALL_EDGES_BLOCKING, > > FORWARD_EDGES_PIPELINED, > > POINTWISE_EDGES_PIPELINED, > > ALL_EDGES_PIPELINED, > > ALL_EDGES_PIPELINED_APPROXIMATE; > > > > > private GlobalStreamExchangeMode() { > > } > > } > > >