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https://issues.apache.org/jira/browse/CASSANDRA-4142?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=13252517#comment-13252517
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Jonathan Ellis commented on CASSANDRA-4142:
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bq. Eclipse Memory Analyzer's denominator tree shows that 99% of a
SSTableBoundedScanner object's memory is consumed by a
CompressedRandomAccessReader which contains two big byte arrays.
One would be the 64KB buffer in RandomAccessReader; the other is the CRAR
compression buffer.
The comments in CRAR say that it can't use super.read, so is the RAR buffer
wasted?
bq. an ArrayList of SSTableBoundedScanner which appears to contain as many
objects as there are SSTables on disk
Not sure how badly validation needs all of these at once. It definitely seems
like we could limit it to at most the overlapping sstables for a single L1
target at a time, though, which would cut it by a factor of 10.
> OOM Exception during repair session with LeveledCompactionStrategy
> ------------------------------------------------------------------
>
> Key: CASSANDRA-4142
> URL: https://issues.apache.org/jira/browse/CASSANDRA-4142
> Project: Cassandra
> Issue Type: Improvement
> Components: Core
> Affects Versions: 1.0.6
> Environment: OS: Linux CentOs 6
> JDK: Java HotSpot(TM) 64-Bit Server VM (build 14.0-b16, mixed mode)
> Node configuration:
> Quad-core
> 10 GB RAM
> Xmx set to 2,5 GB (as computed by default).
> Reporter: Romain Hardouin
>
> We encountered an OOM Exception on 2 nodes during repair session.
> Our CF are set up to use LeveledCompactionStrategy and SnappyCompressor.
> These two options used together maybe the key to the problem.
> Despite of setting XX:+HeapDumpOnOutOfMemoryError, no dump have been
> generated.
> Nonetheless a memory analysis on a live node doing a repair reveals an
> hotspot: an ArrayList of SSTableBoundedScanner which appears to contain as
> many objects as there are SSTables on disk.
> This ArrayList consumes 786 MB of the heap space for 5757 objects. Therefore
> each object is about 140 KB.
> Eclipse Memory Analyzer's denominator tree shows that 99% of a
> SSTableBoundedScanner object's memory is consumed by a
> CompressedRandomAccessReader which contains two big byte arrays.
> Cluster information:
> 9 nodes
> Each node handles 35 GB (RandomPartitioner)
> This JIRA was created following this discussion:
> http://cassandra-user-incubator-apache-org.3065146.n2.nabble.com/Why-so-many-SSTables-td7453033.html
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