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Posted to issues@flink.apache.org by "ASF GitHub Bot (JIRA)" <ji...@apache.org> on 2014/07/06 10:58:34 UTC
[jira] [Commented] (FLINK-955) Resizing for CompactingHashTable
[ https://issues.apache.org/jira/browse/FLINK-955?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14053066#comment-14053066 ]
ASF GitHub Bot commented on FLINK-955:
--------------------------------------
GitHub user rwaury opened a pull request:
https://github.com/apache/incubator-flink/pull/57
[FLINK-955] Implemented automatic resizing in CompactingHashTable
The CompactingHashTable now attempts to double the number of buckets if too many overflow buckets are used.
This commit also fixes a few bugs in the hash table.
You can merge this pull request into a Git repository by running:
$ git pull https://github.com/rwaury/incubator-flink ResizingHashTableFinal
Alternatively you can review and apply these changes as the patch at:
https://github.com/apache/incubator-flink/pull/57.patch
To close this pull request, make a commit to your master/trunk branch
with (at least) the following in the commit message:
This closes #57
----
commit bd0b0d29d87440bb183434fcd9c7db59ac15bb06
Author: rwaury <ro...@googlemail.com>
Date: 2014-06-23T21:31:48Z
ResizingHashTable
automatic resizing implemented (small bugs still left)
fixed IndexOutOfBoundsException bug
parallel to master
intermediate
resizinghashtable finished
clean up and added minimal primitive collections
checkstyle stuff
commit c86808c5c939a4ae8b28431030660f835dfcd5b4
Author: rwaury <ro...@googlemail.com>
Date: 2014-07-06T08:51:14Z
fixed small bug
----
> Resizing for CompactingHashTable
> --------------------------------
>
> Key: FLINK-955
> URL: https://issues.apache.org/jira/browse/FLINK-955
> Project: Flink
> Issue Type: Improvement
> Components: Iterations
> Affects Versions: 0.6-incubating
> Reporter: Robert Waury
> Assignee: Robert Waury
> Labels: performance
>
> Implement automatic resizing of the hashtable if buckets become to crowded and require overflow buckets to reduce lookup time and memory consumption.
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