You are viewing a plain text version of this content. The canonical link for it is here.
Posted to issues@spark.apache.org by "Wenchen Fan (JIRA)" <ji...@apache.org> on 2018/01/08 06:01:00 UTC
[jira] [Resolved] (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 ]
Wenchen Fan resolved SPARK-22979.
---------------------------------
Resolution: Fixed
Assignee: Hyukjin Kwon
Fix Version/s: 2.3.0
> 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: Hyukjin Kwon
> Fix For: 2.3.0
>
>
> 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.
--
This message was sent by Atlassian JIRA
(v6.4.14#64029)
---------------------------------------------------------------------
To unsubscribe, e-mail: issues-unsubscribe@spark.apache.org
For additional commands, e-mail: issues-help@spark.apache.org