Josh Rosen created SPARK-27607:
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Summary: 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
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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