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From "Apache Spark (JIRA)" <j...@apache.org>
Subject [jira] [Assigned] (SPARK-19555) Improve inefficient StringUtils.escapeLikeRegex() method
Date Sat, 11 Feb 2017 07:50:42 GMT

     [ https://issues.apache.org/jira/browse/SPARK-19555?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]

Apache Spark reassigned SPARK-19555:
------------------------------------

    Assignee: Apache Spark

> Improve inefficient StringUtils.escapeLikeRegex() method
> --------------------------------------------------------
>
>                 Key: SPARK-19555
>                 URL: https://issues.apache.org/jira/browse/SPARK-19555
>             Project: Spark
>          Issue Type: Improvement
>          Components: SQL
>    Affects Versions: 2.0.0
>            Reporter: Josh Rosen
>            Assignee: Apache Spark
>
> Spark's StringUtils.escapeLikeRegex() method is written inefficiently, performing tons
of object allocations due to the use zip(), flatMap() , and mkString. Instead, I think method
should be rewritten in an imperative style using a Java string builder.
> This method can become a performance bottleneck in cases where regex expressions are
used with non-constant-foldable expressions (e.g. the regex expression comes from the data
rather than being part of the query).
> Here's the code in question: https://github.com/apache/spark/blob/d785217b791882e075ad537852d49d78fc1ca31b/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/util/StringUtils.scala#L28



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