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https://issues.apache.org/jira/browse/DRILL-3874?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14939833#comment-14939833
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ASF GitHub Bot commented on DRILL-3874:
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GitHub user cwestin opened a pull request:
https://github.com/apache/drill/pull/181
DRILL-3874: flattening large JSON objects uses too much direct memory
- add getBufferSizeFor() to ValueVector interface
- add implememtations of getBufferSizeFor() for all ValueVector derivatives
- add adaptive algorithm for adjusting batch size to flatten operator
You can merge this pull request into a Git repository by running:
$ git pull https://github.com/cwestin/incubator-drill flatten-memory
Alternatively you can review and apply these changes as the patch at:
https://github.com/apache/drill/pull/181.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 #181
----
commit ca9bccb8657169849e4965e180cdad75e0652c9e
Author: Chris Westin <[email protected]>
Date: 2015-09-29T23:05:00Z
DRILL-3874: flattening large JSON objects uses too much direct memory
- add getBufferSizeFor() to ValueVector interface
- add implememtations of getBufferSizeFor() for all ValueVector derivatives
- add adaptive algorithm for adjusting batch size to flatten operator
----
> flattening large JSON objects consumes too much direct memory
> -------------------------------------------------------------
>
> Key: DRILL-3874
> URL: https://issues.apache.org/jira/browse/DRILL-3874
> Project: Apache Drill
> Issue Type: Bug
> Components: Execution - Flow
> Affects Versions: 1.1.0
> Reporter: Chris Westin
> Assignee: Chris Westin
>
> A JSON record has a field whose value is an array with 20,000 elements; the
> record's size is 4MB. A select is used to flatten this. The query profile
> reports that the peak memory utilization was 8GB, most of it used by the
> flatten.
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