pnowojski commented on a change in pull request #11567: [FLINK-16645] Limit the 
maximum backlogs in subpartitions
URL: https://github.com/apache/flink/pull/11567#discussion_r400335246
 
 

 ##########
 File path: 
flink-runtime/src/main/java/org/apache/flink/runtime/io/network/partition/ResultPartition.java
 ##########
 @@ -375,4 +398,33 @@ void onConsumedSubpartition(int subpartitionIndex) {
        private void checkInProduceState() throws IllegalStateException {
                checkState(!isFinished, "Partition already finished.");
        }
+
+       /**
+        * Check whether all subpartitions' backlogs are less than the 
limitation of max backlogs, and make this partition
+        * available again if yes.
+        */
+       @GuardedBy("buffers")
 
 Review comment:
   That's not true. First of all this class can not relay on an implementation 
detail of the `PipelinedSubpartition` (which is only one of two implementations 
of `ResultSubpartition` class).
   
   Secondly each `PipelinedSubpartition` has it's own `buffers` field, so the 
updates here to `unavailableSubpartitionsCnt` are complete not synchronized. 
Some simple solution might be to change `unavailableSubpartitionsCnt` to an 
`AtomicLong`, but let me think about alternative solutions.

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