[
https://issues.apache.org/jira/browse/BEAM-10475?focusedWorklogId=500199&page=com.atlassian.jira.plugin.system.issuetabpanels:worklog-tabpanel#worklog-500199
]
ASF GitHub Bot logged work on BEAM-10475:
-----------------------------------------
Author: ASF GitHub Bot
Created on: 13/Oct/20 17:34
Start Date: 13/Oct/20 17:34
Worklog Time Spent: 10m
Work Description: robertwb commented on pull request #13069:
URL: https://github.com/apache/beam/pull/13069#issuecomment-707899116
On empty key vs. marker, sorry for going back and forth--let's settle this
before you change the code again.
Taking a step back, the question we want to answer is "do all ShardedKeys
have a shard id" or is the shard id optional. If the former, I think
representing it as a `(bytes, K)` tuple makes sense, but if we ever want to
talk about "not having" a shard id than it should, logically, be
`(Optional[bytes], K)` and we should use an explicit bit rather than have a
"special" value of bytes that means "not there".
----------------------------------------------------------------
This is an automated message from the Apache Git Service.
To respond to the message, please log on to GitHub and use the
URL above to go to the specific comment.
For queries about this service, please contact Infrastructure at:
[email protected]
Issue Time Tracking
-------------------
Worklog Id: (was: 500199)
Time Spent: 8.5h (was: 8h 20m)
> GroupIntoBatches with Runner-determined Sharding
> ------------------------------------------------
>
> Key: BEAM-10475
> URL: https://issues.apache.org/jira/browse/BEAM-10475
> Project: Beam
> Issue Type: Improvement
> Components: runner-dataflow
> Reporter: Siyuan Chen
> Assignee: Siyuan Chen
> Priority: P2
> Labels: GCP, performance
> Time Spent: 8.5h
> Remaining Estimate: 0h
>
> [https://s.apache.org/sharded-group-into-batches|https://s.apache.org/sharded-group-into-batches__]
> Improve the existing Beam transform, GroupIntoBatches, to allow runners to
> choose different sharding strategies depending on how the data needs to be
> grouped. The goal is to help with the situation where the elements to process
> need to be co-located to reduce the overhead that would otherwise be incurred
> per element, while not losing the ability to scale the parallelism. The
> essential idea is to build a stateful DoFn with shardable states.
>
--
This message was sent by Atlassian Jira
(v8.3.4#803005)
