[ 
https://issues.apache.org/jira/browse/BEAM-5775?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
 ]

Ismaël Mejía updated BEAM-5775:
-------------------------------
    Fix Version/s:     (was: 2.13.0)

> Make the spark runner not serialize data unless spark is spilling to disk
> -------------------------------------------------------------------------
>
>                 Key: BEAM-5775
>                 URL: https://issues.apache.org/jira/browse/BEAM-5775
>             Project: Beam
>          Issue Type: Improvement
>          Components: runner-spark
>            Reporter: Mike Kaplinskiy
>            Assignee: Mike Kaplinskiy
>            Priority: Minor
>          Time Spent: 11h 10m
>  Remaining Estimate: 0h
>
> Currently for storage level MEMORY_ONLY, Beam does not coder-ify the data. 
> This lets Spark keep the data in memory avoiding the serialization round 
> trip. Unfortunately the logic is fairly coarse - as soon as you switch to 
> MEMORY_AND_DISK, Beam coder-ifys the data even though Spark might have chosen 
> to keep the data in memory, incurring the serialization overhead.
>  
> Ideally Beam would serialize the data lazily - as Spark chooses to spill to 
> disk. This would be a change in behavior when using beam, but luckily Spark 
> has a solution for folks that want data serialized in memory - 
> MEMORY_AND_DISK_SER will keep the data serialized.



--
This message was sent by Atlassian JIRA
(v7.6.3#76005)

Reply via email to