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https://issues.apache.org/jira/browse/HADOOP-18526?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17645000#comment-17645000
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ASF GitHub Bot commented on HADOOP-18526:
-----------------------------------------
mukund-thakur commented on code in PR #5144:
URL: https://github.com/apache/hadoop/pull/5144#discussion_r1043859890
##########
hadoop-tools/hadoop-aws/src/main/java/org/apache/hadoop/fs/s3a/S3AFileSystem.java:
##########
@@ -3999,22 +4005,18 @@ public void close() throws IOException {
}
isClosed = true;
LOG.debug("Filesystem {} is closed", uri);
- if (getConf() != null) {
- String iostatisticsLoggingLevel =
- getConf().getTrimmed(IOSTATISTICS_LOGGING_LEVEL,
- IOSTATISTICS_LOGGING_LEVEL_DEFAULT);
- logIOStatisticsAtLevel(LOG, iostatisticsLoggingLevel, getIOStatistics());
- }
try {
super.close();
} finally {
stopAllServices();
Review Comment:
instrumentation is not set to null after closing. Same with auditManager.
> Leak of S3AInstrumentation instances via hadoop Metrics references
> ------------------------------------------------------------------
>
> Key: HADOOP-18526
> URL: https://issues.apache.org/jira/browse/HADOOP-18526
> Project: Hadoop Common
> Issue Type: Sub-task
> Components: fs/s3
> Affects Versions: 3.3.4
> Reporter: Steve Loughran
> Assignee: Steve Loughran
> Priority: Major
> Labels: pull-request-available
>
> A heap dump of a process running OOM shows that if a process creates then
> destroys lots of S3AFS instances, you seem to run out of heap due to
> references to S3AInstrumentation and the IOStatisticsStore kept via the
> hadoop metrics registry
> It doesn't look like S3AInstrumentation.close() is being invoked in
> S3AFS.close(). it should -with the IOStats being snapshotted to a local
> reference before this happens. This allows for stats of a closed fs to be
> examined.
> If you look at org.apache.hadoop.ipc.DecayRpcScheduler.MetricsProxy it uses a
> WeakReference to refer back to the larger object. we should do the same for
> abfs/s3a bindings. ideally do some template proxy class in hadoop common they
> can both use.
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