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https://issues.apache.org/jira/browse/SPARK-5223?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Davies Liu updated SPARK-5223:
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Description:
It will introduce problems if the object in dict/list/tuple can not support by
py4j, such as Vector.
Also, pickle may have better performance for larger object (less RPC).
In some cases that the object in dict/list can not be pickled (such as
JavaObject), we should still use MapConvert/ListConvert.
discussion:
http://apache-spark-developers-list.1001551.n3.nabble.com/Python-to-Java-object-conversion-of-numpy-array-td10065.html
was:
It will introduce problems if the object in dict/list/tuple can not support by
py4j, such as Vector.
Also, pickle may have better performance for larger object (less RPC).
In some cases that the object in dict/list can not be pickled (such as
JavaObject), we should still use MapConvert/ListConvert.
> Use pickle instead of MapConvert and ListConvert in MLlib Python API
> --------------------------------------------------------------------
>
> Key: SPARK-5223
> URL: https://issues.apache.org/jira/browse/SPARK-5223
> Project: Spark
> Issue Type: Bug
> Components: MLlib, PySpark
> Reporter: Davies Liu
> Priority: Critical
>
> It will introduce problems if the object in dict/list/tuple can not support
> by py4j, such as Vector.
> Also, pickle may have better performance for larger object (less RPC).
> In some cases that the object in dict/list can not be pickled (such as
> JavaObject), we should still use MapConvert/ListConvert.
> discussion:
> http://apache-spark-developers-list.1001551.n3.nabble.com/Python-to-Java-object-conversion-of-numpy-array-td10065.html
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