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https://issues.apache.org/jira/browse/BEAM-8306?focusedWorklogId=335431&page=com.atlassian.jira.plugin.system.issuetabpanels:worklog-tabpanel#worklog-335431
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ASF GitHub Bot logged work on BEAM-8306:
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Author: ASF GitHub Bot
Created on: 29/Oct/19 09:13
Start Date: 29/Oct/19 09:13
Worklog Time Spent: 10m
Work Description: timrobertson100 commented on issue #9660: [BEAM-8306]
improve estimation datasize elasticsearch io
URL: https://github.com/apache/beam/pull/9660#issuecomment-547325482
This LGTM - waiting to see green to merge
I am not entirely sure this will work when aliasing indexes. I don't believe
you can get an estimate of size like this but as far as I can see the same is
true in the current implementation too. I think we would need to determine the
indices that form part of the alias and then accumulate the sizes. Surely out
of the scope of this PR though.
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Issue Time Tracking
-------------------
Worklog Id: (was: 335431)
Time Spent: 1h 50m (was: 1h 40m)
> improve estimation of data byte size reading from source in ElasticsearchIO
> ---------------------------------------------------------------------------
>
> Key: BEAM-8306
> URL: https://issues.apache.org/jira/browse/BEAM-8306
> Project: Beam
> Issue Type: Improvement
> Components: io-java-elasticsearch
> Affects Versions: 2.14.0
> Reporter: Derek He
> Assignee: Derek He
> Priority: Major
> Time Spent: 1h 50m
> Remaining Estimate: 0h
>
> ElasticsearchIO splits BoundedSource based on the Elasticsearch index size.
> We expect it can be more accurate to split it base on query result size.
> Currently, we have a big Elasticsearch index. But for query result, it only
> contains a few documents in the index. ElasticsearchIO splits it into up
> to1024 BoundedSources in Google dataflow. It takes long time to finish the
> processing the small numbers of Elasticsearch document in Google dataflow.
>
>
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