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Posted to issues@spark.apache.org by "Apache Spark (JIRA)" <ji...@apache.org> on 2018/01/06 08:44:03 UTC
[jira] [Assigned] (SPARK-22979) Avoid per-record type dispatch in
Python data conversion (EvaluatePython.fromJava)
[ https://issues.apache.org/jira/browse/SPARK-22979?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Apache Spark reassigned SPARK-22979:
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Assignee: Apache Spark
> Avoid per-record type dispatch in Python data conversion (EvaluatePython.fromJava)
> ----------------------------------------------------------------------------------
>
> Key: SPARK-22979
> URL: https://issues.apache.org/jira/browse/SPARK-22979
> Project: Spark
> Issue Type: Improvement
> Components: PySpark, SQL
> Affects Versions: 2.3.0
> Reporter: Hyukjin Kwon
> Assignee: Apache Spark
>
> Seems we are type dispatching between Java objects (from Pyrolite) to Spark's internal data format.
> See https://github.com/apache/spark/blob/3f958a99921d149fb9fdf7ba7e78957afdad1405/sql/core/src/main/scala/org/apache/spark/sql/execution/python/EvaluatePython.scala#L89-L162
> Looks we can make converters each for each type and then reuse it.
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