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Posted to issues@spark.apache.org by "xiaoli (Jira)" <ji...@apache.org> on 2021/11/01 13:08:00 UTC
[jira] [Commented] (SPARK-37034) What's the progress of vectorized
execution for spark?
[ https://issues.apache.org/jira/browse/SPARK-37034?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17436825#comment-17436825 ]
xiaoli commented on SPARK-37034:
--------------------------------
[~dongjoon] [~yumwang] [~cloud_fan] Sorry to ping you, as there is no answer/comments of this question for a week. All of you have contribute to spark's vectorized read, so I guess you may know something about this question. Could you look at this question？
> What's the progress of vectorized execution for spark?
> ------------------------------------------------------
>
> Key: SPARK-37034
> URL: https://issues.apache.org/jira/browse/SPARK-37034
> Project: Spark
> Issue Type: New Feature
> Components: Spark Core
> Affects Versions: 3.2.0
> Reporter: xiaoli
> Priority: Major
>
> Spark has support vectorized read for ORC and parquet. What's the progress of other vectorized execution, e.g. vectorized write, join, aggr, simple operator (string function, math function)?
> Hive support vectorized execution in early version (https://cwiki.apache.org/confluence/display/hive/vectorized+query+execution) As we know, Spark is replacement of Hive. I guess the reason why Spark does not support vectorized execution maybe the difficulty of design or implementation in Spark is larger. What's the main issue for Spark to support vectorized execution?
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