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https://issues.apache.org/jira/browse/SPARK-24356?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Apache Spark reassigned SPARK-24356:
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    Assignee: Apache Spark

> Duplicate strings in File.path managed by FileSegmentManagedBuffer
> ------------------------------------------------------------------
>
>                 Key: SPARK-24356
>                 URL: https://issues.apache.org/jira/browse/SPARK-24356
>             Project: Spark
>          Issue Type: Improvement
>          Components: Shuffle
>    Affects Versions: 2.3.0
>            Reporter: Misha Dmitriev
>            Assignee: Apache Spark
>            Priority: Major
>         Attachments: SPARK-24356.01.patch
>
>
> I recently analyzed a heap dump of Yarn Node Manager that was suffering from 
> high GC pressure due to high object churn. Analysis was done with the jxray 
> tool ([www.jxray.com)|http://www.jxray.com)/] that checks a heap dump for a 
> number of well-known memory issues. One problem that it found in this dump is 
> 19.5% of memory wasted due to duplicate strings. Of these duplicates, more 
> than a half come from {{FileInputStream.path}} and {{File.path}}. All the 
> {{FileInputStream}} objects that JXRay shows are garbage - looks like they 
> are used for a very short period and then discarded (I guess there is a 
> separate question of whether that's a good pattern). But {{File}} instances 
> are traceable to 
> {{org.apache.spark.network.buffer.FileSegmentManagedBuffer.file}} field. Here 
> is the full reference chain:
>  
> {code:java}
> ↖java.io.File.path
> ↖org.apache.spark.network.buffer.FileSegmentManagedBuffer.file
> ↖{j.u.ArrayList}
> ↖j.u.ArrayList$Itr.this$0
> ↖org.apache.spark.network.server.OneForOneStreamManager$StreamState.buffers
> ↖{java.util.concurrent.ConcurrentHashMap}.values
> ↖org.apache.spark.network.server.OneForOneStreamManager.streams
> ↖org.apache.spark.network.shuffle.ExternalShuffleBlockHandler.streamManager
> ↖org.apache.spark.network.yarn.YarnShuffleService.blockHandler
> ↖Java Static org.apache.spark.network.yarn.YarnShuffleService.instance
> {code}
>  
> Values of these {{File.path}}'s and {{FileInputStream.path}}'s look very 
> similar, so I think {{FileInputStream}}s are generated by the 
> {{FileSegmentManagedBuffer}} code. Instances of {{File}}, in turn, likely 
> come from 
> [https://github.com/apache/spark/blob/master/common/network-shuffle/src/main/java/org/apache/spark/network/shuffle/ExternalShuffleBlockResolver.java#L258-L263]
>  
> To avoid duplicate strings in {{File.path}}'s in this case, it is suggested 
> that in the above code we create a File with a complete, normalized pathname, 
> that has been already interned. This will prevent the code inside 
> {{java.io.File}} from modifying this string, and thus it will use the 
> interned copy, and will pass it to FileInputStream. Essentially the current 
> line
> {code:java}
> return new File(new File(localDir, String.format("%02x", subDirId)), 
> filename);{code}
> should be replaced with something like
> {code:java}
> String pathname = localDir + File.separator + String.format(...) + 
> File.separator + filename;
> pathname = fileSystem.normalize(pathname).intern();
> return new File(pathname);{code}
>  



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