[jira] [Commented] (SPARK-37034) What's the progress of vectorized execution for spark?

2021-11-02 Thread xiaoli (Jira)


[ 
https://issues.apache.org/jira/browse/SPARK-37034?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=17437213#comment-17437213
 ] 

xiaoli commented on SPARK-37034:


[~cloud_fan] Thanks very much. The hint in your answer helps me find 
ApplyColumnarRulesAndInsertTransitions class in spark, I could do more 
investigation now.

> 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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[jira] [Commented] (SPARK-37034) What's the progress of vectorized execution for spark?

2021-11-01 Thread Wenchen Fan (Jira)


[ 
https://issues.apache.org/jira/browse/SPARK-37034?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=17436898#comment-17436898
 ] 

Wenchen Fan commented on SPARK-37034:
-

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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[jira] [Commented] (SPARK-37034) What's the progress of vectorized execution for spark?

2021-11-01 Thread xiaoli (Jira)


[ 
https://issues.apache.org/jira/browse/SPARK-37034?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=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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