[ 
https://issues.apache.org/jira/browse/FLINK-13053?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
 ]

Flink Jira Bot closed FLINK-13053.
----------------------------------
    Resolution: Auto Closed

This issue was labeled "stale-minor" 7 ago and has not received any updates so 
I have gone ahead and closed it.  If you are still affected by this or would 
like to raise the priority of this ticket please re-open, removing the label 
"auto-closed" and raise the ticket priority accordingly.


> Vectorization Support in Flink
> ------------------------------
>
>                 Key: FLINK-13053
>                 URL: https://issues.apache.org/jira/browse/FLINK-13053
>             Project: Flink
>          Issue Type: New Feature
>          Components: Table SQL / Runtime
>            Reporter: Liya Fan
>            Assignee: Liya Fan
>            Priority: Minor
>              Labels: auto-closed, stale-assigned
>         Attachments: image-2019-07-02-15-26-39-550.png
>
>
> Vectorization is a popular technique in SQL engines today. Compared with 
> traditional row-based approach, it has some distinct advantages, for example:
>  
>  * Better use of CPU resources (e.g. SIMD)
>  * More compact memory layout
>  * More friendly to compressed data format.
>  
> Currently, Flink is based on a row-based SQL engine for both stream and batch 
> workloads. To enjoy the above benefits, we want to bring vectorization to 
> Flink. This involves substantial changes to the existing code base. 
> Therefore, we give a plan to carry out such changes in small, incremental 
> steps, in order not to affect existing features. We want to apply it to batch 
> workload first. The details can be found in our 
> [proposal|https://docs.google.com/document/d/1cUHb-_Pbe4NMU3Igwt4tytEmI66jQxev00IL99e2wFY/edit#heading=h.50xdeg1htedb]
>  .
>  
> For the past months, we have developed an initial implementation of the above 
> ideas. Initial performance evaluations on TPC-H benchmarks show that 
> substantial performance improvements can be obtained by vectorization (see 
> the figure below). More details can be found in our 
> [proposal|https://docs.google.com/document/d/1cUHb-_Pbe4NMU3Igwt4tytEmI66jQxev00IL99e2wFY/edit#heading=h.50xdeg1htedb].
>   !image-2019-07-02-15-26-39-550.png!
> Special thanks to @Kurt Young’s team for all the kind help.
> Special thanks to @Piotr Nowojski for all the valuable feedback and help 
> suggestions.



--
This message was sent by Atlassian Jira
(v8.3.4#803005)

Reply via email to