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From "Misha Dmitriev (JIRA)" <j...@apache.org>
Subject [jira] [Updated] (HDFS-11383) String duplication in org.apache.hadoop.fs.BlockLocation
Date Mon, 15 May 2017 19:56:04 GMT

     [ https://issues.apache.org/jira/browse/HDFS-11383?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]

Misha Dmitriev updated HDFS-11383:
----------------------------------
    Attachment: HDFS-11383.01.patch

> String duplication in org.apache.hadoop.fs.BlockLocation
> --------------------------------------------------------
>
>                 Key: HDFS-11383
>                 URL: https://issues.apache.org/jira/browse/HDFS-11383
>             Project: Hadoop HDFS
>          Issue Type: Improvement
>            Reporter: Misha Dmitriev
>            Assignee: Misha Dmitriev
>         Attachments: HDFS-11383.01.patch
>
>
> I am working on Hive performance, investigating the problem of high memory pressure when
(a) a table consists of a high number (thousands) of partitions and (b) multiple queries run
against it concurrently. It turns out that a lot of memory is wasted due to data duplication.
One source of duplicate strings is class org.apache.hadoop.fs.BlockLocation. Its fields such
as storageIds, topologyPaths, hosts, names, may collectively use up to 6% of memory in my
benchmark, causing (together with other problematic classes) a huge memory spike. Of these
6% of memory taken by BlockLocation strings, more than 5% are wasted due to duplication.
> I think we need to add calls to String.intern() in the BlockLocation constructor, like:
> {code}
> this.hosts = internStringsInArray(hosts);
> ...
> private void internStringsInArray(String[] sar) {
>   for (int i = 0; i < sar.length; i++) {
>     sar[i] = sar[i].intern();
>   }
> }
> {code}
> String.intern() performs very well starting from JDK 7. I've found some articles explaining
the progress that was made by the HotSpot JVM developers in this area, verified that with
benchmarks myself, and finally added quite a bit of interning to one of the Cloudera products
without any issues.



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