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ASF GitHub Bot commented on FLINK-7499: --------------------------------------- Github user pnowojski commented on a diff in the pull request: https://github.com/apache/flink/pull/4581#discussion_r152822778 --- Diff: flink-runtime/src/main/java/org/apache/flink/runtime/io/network/partition/SpillableSubpartition.java --- @@ -95,20 +95,23 @@ public boolean add(Buffer buffer) throws IOException { return false; } - // The number of buffers are needed later when creating - // the read views. If you ever remove this line here, - // make sure to still count the number of buffers. - updateStatistics(buffer); - if (spillWriter == null) { buffers.add(buffer); + // The number of buffers are needed later when creating + // the read views. If you ever remove this line here, + // make sure to still count the number of buffers. --- End diff -- Is it tested somewhere? > double buffer release in SpillableSubpartitionView > -------------------------------------------------- > > Key: FLINK-7499 > URL: https://issues.apache.org/jira/browse/FLINK-7499 > Project: Flink > Issue Type: Sub-task > Components: Network > Affects Versions: 1.2.0, 1.1.4, 1.3.0, 1.1.5, 1.2.1, 1.2.2, 1.3.1, 1.4.0, > 1.3.2, 1.3.3 > Reporter: Nico Kruber > Assignee: Nico Kruber > Priority: Blocker > > {{SpillableSubpartitionView#releaseMemory()}} recycles its buffers twice: > once asynchronously after the write operation and once in > {{SpillableSubpartitionView#releaseMemory()}} after adding the write > operation to the queue. > 1) if {{SpillableSubpartitionView#releaseMemory()}} hits first and the buffer > is recycled, the memory region may already be reused despite the pending write > 2) If, for some reason (probably only in tests like > {{SpillableSubpartitionTest#testConsumeSpillablePartitionSpilledDuringConsume()}}?), > the buffer is retained and to be used in parallel somewhere else it may also > not be available anymore or contain corrupt data. -- This message was sent by Atlassian JIRA (v6.4.14#64029)