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https://issues.apache.org/jira/browse/SPARK-18658?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15710116#comment-15710116
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Apache Spark commented on SPARK-18658:
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User 'NathanHowell' has created a pull request for this issue:
https://github.com/apache/spark/pull/16089
> Writing to a text DataSource buffers one or more lines in memory
> ----------------------------------------------------------------
>
> Key: SPARK-18658
> URL: https://issues.apache.org/jira/browse/SPARK-18658
> Project: Spark
> Issue Type: Improvement
> Components: SQL
> Affects Versions: 2.0.2
> Reporter: Nathan Howell
> Priority: Minor
>
> The JSON and CSV writing paths buffer entire lines (or multiple lines) in
> memory prior to writing to disk. For large rows this is inefficient. It may
> make sense to skip the {{TextOutputFormat}} record writer and go directly to
> the underlying {{FSDataOutputStream}}, allowing the writers to append
> arbitrary byte arrays (fractions of a row) instead of a full row.
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