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Oisín Mac Fhearaí edited comment on FLINK-17493 at 5/15/20, 11:47 AM: ---------------------------------------------------------------------- [~xintongsong] you might be right that it's an unrelated problem. I thought it might be a memory allocation problem because: # The memory increases over time as the job restarts (especially off-heap) # There is some stateful behaviour: the Cassandra sink works exactly once, but never after starting the job again, until the task manager is restarted. I'll open a separate ticket to avoid adding confusion to this one. was (Author: destynova): [~xintongsong] you might be right that it's an unrelated problem. I thought it might be a memory allocation problem because: # The memory increases over time as the job increases (especially off-heap) # There is some stateful behaviour: the Cassandra sink works exactly once, but never after starting the job again, until the task manager is restarted. I'll open a separate ticket to avoid adding confusion to this one. > Possible direct memory leak in cassandra sink > --------------------------------------------- > > Key: FLINK-17493 > URL: https://issues.apache.org/jira/browse/FLINK-17493 > Project: Flink > Issue Type: Bug > Components: Connectors / Cassandra > Affects Versions: 1.9.0, 1.10.0 > Reporter: nobleyd > Priority: Major > Attachments: image-2020-05-14-21-58-59-152.png > > > # Cassandra Sink use direct memorys. > # Start a standalone cluster(1 machines) for test. > # After the cluster started, check the flink web-ui, and record the task > manager's memory info. I mean the direct memory part info. > # Start a job which read from kafka and write to cassandra using the > cassandra sink, and you can see that the direct memory count in 'Outside JVM' > part go up. > # Stop the job, and the direct memory count is not decreased(using 'jmap > -histo:live pid' to make the task manager gc). > # Repeat serveral times, the direct memory count will be more and more. -- This message was sent by Atlassian Jira (v8.3.4#803005)