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Posted to issues@spark.apache.org by "Reynold Xin (JIRA)" <ji...@apache.org> on 2016/09/19 18:21:20 UTC
[jira] [Issue Comment Deleted] (SPARK-12635) More efficient (column
batch) serialization for Python/R
[ https://issues.apache.org/jira/browse/SPARK-12635?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Reynold Xin updated SPARK-12635:
--------------------------------
Comment: was deleted
(was: User 'nongli' has created a pull request for this issue:
https://github.com/apache/spark/pull/10628)
> More efficient (column batch) serialization for Python/R
> --------------------------------------------------------
>
> Key: SPARK-12635
> URL: https://issues.apache.org/jira/browse/SPARK-12635
> Project: Spark
> Issue Type: New Feature
> Components: PySpark, SparkR, SQL
> Reporter: Reynold Xin
>
> Serialization between Scala / Python / R is pretty slow. Python and R both work pretty well with column batch interface (e.g. numpy arrays). Technically we should be able to just pass column batches around with minimal serialization (maybe even zero copy memory).
> Note that this depends on some internal refactoring to use a column batch interface in Spark SQL.
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