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https://issues.apache.org/jira/browse/SPARK-27607?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Apache Spark reassigned SPARK-27607:
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Assignee: Apache Spark
> Improve performance of Row.toString()
> -------------------------------------
>
> Key: SPARK-27607
> URL: https://issues.apache.org/jira/browse/SPARK-27607
> Project: Spark
> Issue Type: Improvement
> Components: SQL
> Affects Versions: 2.4.0
> Reporter: Josh Rosen
> Assignee: Apache Spark
> Priority: Minor
>
> I have a job which ends up calling {{org.apache.spark.sql.Row.toString}} on
> every row in a massive dataset (the reasons for this are slightly odd and
> it's a bit non-trivial to change the job to avoid this step).
> {{Row.toString}} is implemented by first constructing a WrappedArray
> containing the Row's values (by calling {{toSeq}}) and then turning that
> array into a string with {{mkString}}. We might be able to get a small
> performance win by pipelining these steps, using an imperative loop to append
> fields to a StringBuilder as soon as they're retrieved (thereby cutting out a
> few layers of Scala collections indirection).
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