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Xingcan Cui commented on FLINK-8407: ------------------------------------ Yes, there's no {{setParallelism()}} method in {{DataStream.java}}. But {{DataStream.scala}} gets the following method đŸ˜… {code:java} def setParallelism(parallelism: Int): DataStream[T] = { stream match { case ds: SingleOutputStreamOperator[T] => ds.setParallelism(parallelism) case _ => throw new UnsupportedOperationException( "Operator " + stream + " cannot set the parallelism.") } this } {code}  I'd like to add a type check in {{SingleOutputStreamOperator.setParallelism()}}, such as {code:java} if (transformation instanceof PartitionTransformation) throw new UnsupportedOperationException("Can not set parallelism after partitioning."); {code} Do you think that's feasible? > Setting the parallelism after a partitioning operation should be forbidden > -------------------------------------------------------------------------- > > Key: FLINK-8407 > URL: https://issues.apache.org/jira/browse/FLINK-8407 > Project: Flink > Issue Type: Bug > Components: DataStream API > Reporter: Xingcan Cui > Assignee: Xingcan Cui > Priority: Major > > Partitioning operations ({{shuffle}}, {{rescale}}, etc.) for a {{DataStream}} > create new {{DataStreams}}, which allow the users to set parallelisms for > them. However, the {{PartitionTransformations}} in these returned > {{DataStreams}} will only add virtual nodes, whose parallelisms could not be > specified, in the execution graph. We should forbid users to set the > parallelism after a partitioning operation since they won't actually work. > Also the corresponding documents should be updated. -- This message was sent by Atlassian JIRA (v7.6.3#76005)