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Posted to issues@spark.apache.org by "Apache Spark (JIRA)" <ji...@apache.org> on 2017/07/24 08:33:01 UTC
[jira] [Assigned] (SPARK-21517) Fetch local data via block manager
cause oom
[ https://issues.apache.org/jira/browse/SPARK-21517?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Apache Spark reassigned SPARK-21517:
------------------------------------
Assignee: (was: Apache Spark)
> Fetch local data via block manager cause oom
> --------------------------------------------
>
> Key: SPARK-21517
> URL: https://issues.apache.org/jira/browse/SPARK-21517
> Project: Spark
> Issue Type: Improvement
> Components: Block Manager, Spark Core
> Affects Versions: 1.6.1, 2.1.0
> Reporter: zhoukang
>
> In our production cluster,oom happens when NettyBlockRpcServer receive OpenBlocks message.The reason we observed is below:
> When BlockManagerManagedBuffer call ChunkedByteBuffer#toNetty, it will use Unpooled.wrappedBuffer(ByteBuffer... buffers) which use default maxNumComponents=16 in low-level CompositeByteBuf.When our component's number is bigger than 16, it till execute
> {code:java}
> private void consolidateIfNeeded() {
> int numComponents = this.components.size();
> if(numComponents > this.maxNumComponents) {
> int capacity = ((CompositeByteBuf.Component)this.components.get(numComponents - 1)).endOffset;
> ByteBuf consolidated = this.allocBuffer(capacity);
> for(int c = 0; c < numComponents; ++c) {
> CompositeByteBuf.Component c1 = (CompositeByteBuf.Component)this.components.get(c);
> ByteBuf b = c1.buf;
> consolidated.writeBytes(b);
> c1.freeIfNecessary();
> }
> CompositeByteBuf.Component var7 = new CompositeByteBuf.Component(consolidated);
> var7.endOffset = var7.length;
> this.components.clear();
> this.components.add(var7);
> }
> }
> {code}
> in CompositeByteBuf which will consume some memory.
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