You are viewing a plain text version of this content. The canonical link for it is here.

Posted to issues@spark.apache.org by "Hyukjin Kwon (JIRA)" <ji...@apache.org> on 2019/05/21 04:22:08 UTC

[jira] [Updated] (SPARK-16141) Compress complex-typed data (e.g., Array) in InMemoryRelation

     [ https://issues.apache.org/jira/browse/SPARK-16141?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Hyukjin Kwon updated SPARK-16141:
---------------------------------
    Labels: bulk-closed  (was: )

> Compress complex-typed data (e.g., Array) in InMemoryRelation
> -------------------------------------------------------------
>
>                 Key: SPARK-16141
>                 URL: https://issues.apache.org/jira/browse/SPARK-16141
>             Project: Spark
>          Issue Type: Improvement
>          Components: SQL
>    Affects Versions: 1.6.1
>            Reporter: Takeshi Yamamuro
>            Priority: Minor
>              Labels: bulk-closed
>
> The current implementation only compress native typed data (e.g., int, float, ...) in InMemoryRelation. However, there is a room to compress complex typed data, e.g., Map, Struct, Array to save heap space. Particularly,  Array is frequently used in machine learning use cases described in SPARK-16073 and the compression seems to help.



--
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