azagrebin commented on a change in pull request #8778: 
[FLINK-12615][coordination] Track partitions on JM
URL: https://github.com/apache/flink/pull/8778#discussion_r295728459
 
 

 ##########
 File path: 
flink-runtime/src/main/java/org/apache/flink/runtime/executiongraph/Execution.java
 ##########
 @@ -1063,15 +1063,7 @@ void markFinished(Map<String, Accumulator<?, ?>> 
userAccumulators, IOMetrics met
                                                        
IntermediateResultPartition[] allPartitions = finishedPartition
                                                                        
.getIntermediateResult().getPartitions();
 
-                                                       
PartitionTable<ResourceID> partitionTable = 
vertex.getExecutionGraph().getPartitionTable();
-                                                       for 
(IntermediateResultPartition partition : allPartitions) {
-                                                               
ResultPartitionDeploymentDescriptor descriptor = 
producedPartitions.get(partition.getPartitionId());
-                                                               if 
(!descriptor.isReleasedOnConsumption() && 
descriptor.getShuffleDescriptor().hasLocalResources().isPresent()) {
-                                                                       
partitionTable.startTrackingPartition(
-                                                                               
getAssignedResourceLocation().getResourceID(),
-                                                                               
descriptor.getShuffleDescriptor().getResultPartitionID());
-                                                               }
-                                                       }
+                                                       
startTrackingUnreleasedPartitions(allPartitions);
 
 Review comment:
   looks like it can be done before the for loop:
   
`startTrackingUnreleasedPartitions(getVertex().finishAllBlockingPartitions())`
   now it processes a lot duplicates

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