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https://issues.apache.org/jira/browse/BEAM-9856?focusedWorklogId=430442&page=com.atlassian.jira.plugin.system.issuetabpanels:worklog-tabpanel#worklog-430442
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ASF GitHub Bot logged work on BEAM-9856:
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Author: ASF GitHub Bot
Created on: 04/May/20 22:28
Start Date: 04/May/20 22:28
Worklog Time Spent: 10m
Work Description: chamikaramj commented on pull request #11596:
URL: https://github.com/apache/beam/pull/11596#issuecomment-623741333
Is using SplittableDoFn API here intentional ?
I think this API is being updated. cc: @lukecwik
If you need dynamic work rebalancing, consider using the BoundedSource
interface. Otherwise we can just implement the source as a regular and wait for
SplittableDoFn API to stabilize before adding support for dynamic work
rebalancing.
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Issue Time Tracking
-------------------
Worklog Id: (was: 430442)
Time Spent: 1h 10m (was: 1h)
> HL7v2IO.ListHL7v2Messages should be refactored to support more parallelization
> ------------------------------------------------------------------------------
>
> Key: BEAM-9856
> URL: https://issues.apache.org/jira/browse/BEAM-9856
> Project: Beam
> Issue Type: Improvement
> Components: io-java-gcp
> Reporter: Jacob Ferriero
> Assignee: Jacob Ferriero
> Priority: Minor
> Time Spent: 1h 10m
> Remaining Estimate: 0h
>
> Currently the List Messages API paginates through in a single ProcessElement
> Call.
> However we could get a restriction based on createTime using Messages.List
> filter and orderby.
>
> This is inline with the future roadmap of HL7v2 bulk export API becomes
> available that should allow splitting on (e.g. create time dimension).
> Leveraging this bulk export might be a future optimization to explore.
>
> This could take one of two forms:
> 1. dyanmically splitable via splitable DoFn (sexy, beam idiomatic: make
> optimization the runner's problem, potentially unnecessarily complex for this
> use case )
> 2. static splitting on some time partition e.g. finding the earliest
> createTime and emitting a PCollection of 1 hour partitions and paginating
> through each hour of data w/ in the time frame that the store spans, in a
> separate ProcessElement. (easy to implement but will likely have hot keys /
> stragglers based on "busy hours")
>
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