GitHub user viirya opened a pull request:
https://github.com/apache/spark/pull/8865
[SPARK-10705][SQL] Avoid using external rows in DataFrame.toJSON
JIRA: https://issues.apache.org/jira/browse/SPARK-10705
As described in the JIRA ticket, `DataFrame.toJSON` uses
`DataFrame.mapPartitions`, which converts internal rows to external rows. We
should use `queryExecution.toRdd.mapPartitions` that directly uses internal
rows for better performance.
You can merge this pull request into a Git repository by running:
$ git pull https://github.com/viirya/spark-1 df-tojson-internalrow
Alternatively you can review and apply these changes as the patch at:
https://github.com/apache/spark/pull/8865.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 #8865
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commit a0c6e60775caa4773e1c4591d32e9877ce7aa7ac
Author: Liang-Chi Hsieh <[email protected]>
Date: 2015-09-22T09:59:12Z
Avoid using external rows in DataFrame.toJSON.
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