[
https://issues.apache.org/jira/browse/SPARK-10705?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14902342#comment-14902342
]
Apache Spark commented on SPARK-10705:
--------------------------------------
User 'viirya' has created a pull request for this issue:
https://github.com/apache/spark/pull/8865
> Stop converting internal rows to external rows in DataFrame.toJSON
> ------------------------------------------------------------------
>
> Key: SPARK-10705
> URL: https://issues.apache.org/jira/browse/SPARK-10705
> Project: Spark
> Issue Type: Bug
> Components: SQL
> Affects Versions: 1.3.1, 1.4.1, 1.5.0
> Reporter: Cheng Lian
>
> {{DataFrame.toJSON}} uses {{DataFrame.mapPartitions}}, which converts
> internal rows to external rows. We can use
> {{queryExecution.toRdd.mapPartitions}} instead for better performance.
> Another issue is that, for UDT values, {{serialize}} produces internal types.
> So currently we must deal with both internal and external types within
> {{toJSON}} (see
> [here|https://github.com/apache/spark/pull/8806/files#diff-0f04c36e499d4dcf6931fbd62b3aa012R77]),
> which is pretty weird.
--
This message was sent by Atlassian JIRA
(v6.3.4#6332)
---------------------------------------------------------------------
To unsubscribe, e-mail: [email protected]
For additional commands, e-mail: [email protected]
