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https://issues.apache.org/jira/browse/CASSANDRA-7743?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14105217#comment-14105217
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Benedict commented on CASSANDRA-7743:
-------------------------------------
[~normanm] IMO the netty behaviour is surprising and likely to bite other
projects as well, however it can be worked around if you realise it's there -
but only with careful code analysis, it's hard to be certain you aren't
allocating/releasing on other threads. It would be useful I think to have some
warnings logged by netty if you initialise a new threadlocal memory pool on
_returning_ a bytebuf, as this might well be indicative of pathological
behaviour (you'd expect a thread to have allocated at least once before
releasing if it is likely to allocate again). It might even be nice to
explicitly define which threads are permitted to pool memory, so that you
cannot accidentally build up pools on worker threads without noticing through
accidental allocations as well. This wasn't a problem for us here, but I could
see us accidentally introducing a bug like that pretty easily in future.
> Possible C* OOM issue during long running test
> ----------------------------------------------
>
> Key: CASSANDRA-7743
> URL: https://issues.apache.org/jira/browse/CASSANDRA-7743
> Project: Cassandra
> Issue Type: Bug
> Components: Core
> Environment: Google Compute Engine, n1-standard-1
> Reporter: Pierre Laporte
> Assignee: Benedict
> Fix For: 2.1 rc6
>
>
> During a long running test, we ended up with a lot of
> "java.lang.OutOfMemoryError: Direct buffer memory" errors on the Cassandra
> instances.
> Here is an example of stacktrace from system.log :
> {code}
> ERROR [SharedPool-Worker-1] 2014-08-11 11:09:34,610 ErrorMessage.java:218 -
> Unexpected exception during request
> java.lang.OutOfMemoryError: Direct buffer memory
> at java.nio.Bits.reserveMemory(Bits.java:658) ~[na:1.7.0_25]
> at java.nio.DirectByteBuffer.<init>(DirectByteBuffer.java:123)
> ~[na:1.7.0_25]
> at java.nio.ByteBuffer.allocateDirect(ByteBuffer.java:306)
> ~[na:1.7.0_25]
> at io.netty.buffer.PoolArena$DirectArena.newChunk(PoolArena.java:434)
> ~[netty-all-4.0.20.Final.jar:4.0.20.Final]
> at io.netty.buffer.PoolArena.allocateNormal(PoolArena.java:179)
> ~[netty-all-4.0.20.Final.jar:4.0.20.Final]
> at io.netty.buffer.PoolArena.allocate(PoolArena.java:168)
> ~[netty-all-4.0.20.Final.jar:4.0.20.Final]
> at io.netty.buffer.PoolArena.allocate(PoolArena.java:98)
> ~[netty-all-4.0.20.Final.jar:4.0.20.Final]
> at
> io.netty.buffer.PooledByteBufAllocator.newDirectBuffer(PooledByteBufAllocator.java:251)
> ~[netty-all-4.0.20.Final.jar:4.0.20.Final]
> at
> io.netty.buffer.AbstractByteBufAllocator.directBuffer(AbstractByteBufAllocator.java:155)
> ~[netty-all-4.0.20.Final.jar:4.0.20.Final]
> at
> io.netty.buffer.AbstractByteBufAllocator.directBuffer(AbstractByteBufAllocator.java:146)
> ~[netty-all-4.0.20.Final.jar:4.0.20.Final]
> at
> io.netty.buffer.AbstractByteBufAllocator.ioBuffer(AbstractByteBufAllocator.java:107)
> ~[netty-all-4.0.20.Final.jar:4.0.20.Final]
> at
> io.netty.channel.AdaptiveRecvByteBufAllocator$HandleImpl.allocate(AdaptiveRecvByteBufAllocator.java:104)
> ~[netty-all-4.0.20.Final.jar:4.0.20.Final]
> at
> io.netty.channel.nio.AbstractNioByteChannel$NioByteUnsafe.read(AbstractNioByteChannel.java:112)
> ~[netty-all-4.0.20.Final.jar:4.0.20.Final]
> at
> io.netty.channel.nio.NioEventLoop.processSelectedKey(NioEventLoop.java:507)
> ~[netty-all-4.0.20.Final.jar:4.0.20.Final]
> at
> io.netty.channel.nio.NioEventLoop.processSelectedKeysOptimized(NioEventLoop.java:464)
> ~[netty-all-4.0.20.Final.jar:4.0.20.Final]
> at
> io.netty.channel.nio.NioEventLoop.processSelectedKeys(NioEventLoop.java:378)
> ~[netty-all-4.0.20.Final.jar:4.0.20.Final]
> at io.netty.channel.nio.NioEventLoop.run(NioEventLoop.java:350)
> ~[netty-all-4.0.20.Final.jar:4.0.20.Final]
> at
> io.netty.util.concurrent.SingleThreadEventExecutor$2.run(SingleThreadEventExecutor.java:116)
> ~[netty-all-4.0.20.Final.jar:4.0.20.Final]
> at java.lang.Thread.run(Thread.java:724) ~[na:1.7.0_25]
> {code}
> The test consisted of a 3-nodes cluster of n1-standard-1 GCE instances (1
> vCPU, 3.75 GB RAM) running cassandra-2.1.0-rc5, and a n1-standard-2 instance
> running the test.
> After ~2.5 days, several requests start to fail and we see the previous
> stacktraces in the system.log file.
> The output from linux ‘free’ and ‘meminfo’ suggest that there is still memory
> available.
> {code}
> $ free -m
> total used free shared buffers cached
> Mem: 3702 3532 169 0 161 854
> -/+ buffers/cache: 2516 1185
> Swap: 0 0 0
> $ head -n 4 /proc/meminfo
> MemTotal: 3791292 kB
> MemFree: 173568 kB
> Buffers: 165608 kB
> Cached: 874752 kB
> {code}
> These errors do not affect all the queries we run. The cluster is still
> responsive but is unable to display tracing information using cqlsh :
> {code}
> $ ./bin/nodetool --host 10.240.137.253 status duration_test
> Datacenter: DC1
> ===============
> Status=Up/Down
> |/ State=Normal/Leaving/Joining/Moving
> -- Address Load Tokens Owns (effective) Host ID
> Rack
> UN 10.240.98.27 925.17 KB 256 100.0%
> 41314169-eff5-465f-85ea-d501fd8f9c5e RAC1
> UN 10.240.137.253 1.1 MB 256 100.0%
> c706f5f9-c5f3-4d5e-95e9-a8903823827e RAC1
> UN 10.240.72.183 896.57 KB 256 100.0%
> 15735c4d-98d4-4ea4-a305-7ab2d92f65fc RAC1
> $ echo 'tracing on; select count(*) from duration_test.ints;' | ./bin/cqlsh
> 10.240.137.253
> Now tracing requests.
> count
> -------
> 9486
> (1 rows)
> Statement trace did not complete within 10 seconds
> {code}
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