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From "Apache Spark (JIRA)" <j...@apache.org>
Subject [jira] [Assigned] (SPARK-22979) Avoid per-record type dispatch in Python data conversion (EvaluatePython.fromJava)
Date Sat, 06 Jan 2018 08:44:03 GMT

     [ https://issues.apache.org/jira/browse/SPARK-22979?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]

Apache Spark reassigned SPARK-22979:
------------------------------------

    Assignee:     (was: 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
>
> 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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