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Posted to issues@beam.apache.org by "ASF GitHub Bot (Jira)" <ji...@apache.org> on 2021/01/25 18:51:00 UTC
[jira] [Work logged] (BEAM-10475) GroupIntoBatches with
Runner-determined Sharding
[ https://issues.apache.org/jira/browse/BEAM-10475?focusedWorklogId=541242&page=com.atlassian.jira.plugin.system.issuetabpanels:worklog-tabpanel#worklog-541242 ]
ASF GitHub Bot logged work on BEAM-10475:
-----------------------------------------
Author: ASF GitHub Bot
Created on: 25/Jan/21 18:50
Start Date: 25/Jan/21 18:50
Worklog Time Spent: 10m
Work Description: nehsyc opened a new pull request #13805:
URL: https://github.com/apache/beam/pull/13805
Add a transform translator for `GroupIntoBatches` in Java to populate the URN and payload in the runner API.
Also updated `GroupIntoBatches` implementation to wrap batching parameters in a class so that can be reused by both variation of the transform (with or without sharded keys).
------------------------
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Issue Time Tracking
-------------------
Worklog Id: (was: 541242)
Time Spent: 26.5h (was: 26h 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: 26.5h
> 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.
>
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