[ https://issues.apache.org/jira/browse/SPARK-15742?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Josh Rosen resolved SPARK-15742. -------------------------------- Resolution: Fixed Fix Version/s: 2.0.0 Issue resolved by pull request 13484 [https://github.com/apache/spark/pull/13484] > Reduce collections allocations in Catalyst tree transformation methods > ---------------------------------------------------------------------- > > Key: SPARK-15742 > URL: https://issues.apache.org/jira/browse/SPARK-15742 > Project: Spark > Issue Type: Improvement > Components: SQL > Reporter: Josh Rosen > Assignee: Josh Rosen > Fix For: 2.0.0 > > > In Catalyst's TreeNode {{transform}} methods we end up calling > {{productIterator.map(...).toArray()}} in a number of places, which is > slightly inefficient because it needs to allocate and grow ArrayBuilders. > Since we already know the size of the final output ({{productArity}}), we can > simply allocate an array up-front and use a while loop to consume the > iterator and populate the array. > For most workloads, this performance difference is negligible but it does > make a measurable difference in optimizer performance for queries that > operate over very wide schemas (thousands of columns). -- This message was sent by Atlassian JIRA (v6.3.4#6332) --------------------------------------------------------------------- To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org For additional commands, e-mail: issues-h...@spark.apache.org