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https://issues.apache.org/jira/browse/SPARK-37034?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17436898#comment-17436898
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Wenchen Fan edited comment on SPARK-37034 at 11/1/21, 3:23 PM:
---------------------------------------------------------------
This is a question, not a feature request. Please ask it in the dev-list
instead of JIRA.
A quick answer is: there is no plan to add vectorized execution into Spark in
the near future (at least I haven't seen any proposal), but there are
third-party libraries doing it via the columnar API in the Spark query plan.
was (Author: cloud_fan):
This is a question, not a feature request. Please ask it in the dev-list
instead of JIRA.
A quick answer is: there is no plan to add vectorized execution into Spark in
the near future, but there are third-party libraries doing it via the columnar
API in the Spark query plan.
> 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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