spark-issues mailing list archives

Site index · List index
Message view « Date » · « Thread »
Top « Date » · « Thread »
From "Apache Spark (JIRA)" <j...@apache.org>
Subject [jira] [Assigned] (SPARK-23030) Decrease memory consumption with toPandas() collection using Arrow
Date Tue, 12 Jun 2018 21:35:00 GMT

     [ https://issues.apache.org/jira/browse/SPARK-23030?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]

Apache Spark reassigned SPARK-23030:
------------------------------------

    Assignee: Apache Spark

> Decrease memory consumption with toPandas() collection using Arrow
> ------------------------------------------------------------------
>
>                 Key: SPARK-23030
>                 URL: https://issues.apache.org/jira/browse/SPARK-23030
>             Project: Spark
>          Issue Type: Sub-task
>          Components: PySpark, SQL
>    Affects Versions: 2.3.0
>            Reporter: Bryan Cutler
>            Assignee: Apache Spark
>            Priority: Major
>
> Currently with Arrow enabled, calling {{toPandas()}} results in a collection of all partitions
in the JVM in the form of batches of Arrow file format.  Once collected in the JVM, they are
served to the Python driver process. 
> I believe using the Arrow stream format can help to optimize this and reduce memory consumption
in the JVM by only loading one record batch at a time before sending it to Python.  This might
also reduce the latency between making the initial call in Python and receiving the first
batch of records.



--
This message was sent by Atlassian JIRA
(v7.6.3#76005)

---------------------------------------------------------------------
To unsubscribe, e-mail: issues-unsubscribe@spark.apache.org
For additional commands, e-mail: issues-help@spark.apache.org


Mime
View raw message