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ASF GitHub Bot commented on FLINK-5473: --------------------------------------- Github user StefanRRichter commented on a diff in the pull request: https://github.com/apache/flink/pull/3182#discussion_r97337263 --- Diff: flink-runtime/src/main/java/org/apache/flink/runtime/executiongraph/ExecutionJobVertex.java --- @@ -57,47 +57,51 @@ /** Use the same log for all ExecutionGraph classes */ private static final Logger LOG = ExecutionGraph.LOG; - - private final SerializableObject stateMonitor = new SerializableObject(); + + public static final int VALUE_NOT_SET = -1; + + private final Object stateMonitor = new Object(); private final ExecutionGraph graph; private final JobVertex jobVertex; private final ExecutionVertex[] taskVertices; - private IntermediateResult[] producedDataSets; + private final IntermediateResult[] producedDataSets; private final List<IntermediateResult> inputs; private final int parallelism; - private final int maxParallelism; - private final boolean[] finishedSubtasks; - - private volatile int numSubtasksInFinalState; - + private final SlotSharingGroup slotSharingGroup; - + private final CoLocationGroup coLocationGroup; - + private final InputSplit[] inputSplits; + private final int maxParallelismConfigured; + + private int maxParallelismDerived; + + private volatile int numSubtasksInFinalState; + /** * Serialized task information which is for all sub tasks the same. Thus, it avoids to * serialize the same information multiple times in order to create the * TaskDeploymentDescriptors. */ - private final SerializedValue<TaskInformation> serializedTaskInformation; + private SerializedValue<TaskInformation> serializedTaskInformation; private InputSplitAssigner splitAssigner; public ExecutionJobVertex( ExecutionGraph graph, JobVertex jobVertex, int defaultParallelism, - Time timeout) throws JobException, IOException { + Time timeout) throws JobException { --- End diff -- You are right, but I kept the indentation to avoid formatting changes. > setMaxParallelism() higher than 1 is possible on non-parallel operators > ----------------------------------------------------------------------- > > Key: FLINK-5473 > URL: https://issues.apache.org/jira/browse/FLINK-5473 > Project: Flink > Issue Type: Bug > Components: DataStream API > Affects Versions: 1.2.0 > Reporter: Robert Metzger > Assignee: Stefan Richter > > While trying out Flink 1.2, I found out that you can set a maxParallelism > higher than 1 on a non-parallel operator. > I think we should have the same semantics as the setParallelism() method. > Also, when setting a global maxParallelism in the execution environment, it > will be set as a default value for the non-parallel operator. > When restoring a savepoint from 1.1, you have to set the maxParallelism to > the parallelism of the 1.1 job. Non-parallel operators will then also get the > maxPar set to this value, leading to an error on restore. > So currently, users restoring from 1.1 to 1.2 have to manually set the > maxParallelism to 1 for all non-parallel operators. -- This message was sent by Atlassian JIRA (v6.3.4#6332)