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https://issues.apache.org/jira/browse/SPARK-22029?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16168017#comment-16168017
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Maciej Bryński commented on SPARK-22029:
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I did a proof of concept with functools.lru_cache.
But this function is only for Python >= 3.2.
Any ideas for Python 2.x ?
> Cache of _parse_datatype_json_string function
> ---------------------------------------------
>
> Key: SPARK-22029
> URL: https://issues.apache.org/jira/browse/SPARK-22029
> Project: Spark
> Issue Type: Sub-task
> Components: PySpark
> Affects Versions: 2.2.0
> Reporter: Maciej Bryński
>
> _parse_datatype_json_string is called many times with the same arguments.
> Cacheing this calls can dramatically speed up pyspark code execution (up to
> 20%)
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