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https://issues.apache.org/jira/browse/BEAM-6886?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16799199#comment-16799199
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Kenneth Knowles commented on BEAM-6886:
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The state API is the right thing to use for this, and GroupIntoBatches is the
classic use. I think that sinks are a very natural place to directly use the
state API. I can see that if a sink is designed around getting individual
elements and writing them via FinishBundle it will be hard or impossible to
cause it to accept batches that you build outside. I have not yet look at the
ElasticSearchIO code.
I don't understand the concern about retry.
> Change batch handling in ElasticsearchIO to avoid necessity for
> GroupIntoBatches
> --------------------------------------------------------------------------------
>
> Key: BEAM-6886
> URL: https://issues.apache.org/jira/browse/BEAM-6886
> Project: Beam
> Issue Type: Improvement
> Components: io-java-elasticsearch
> Affects Versions: 2.11.0
> Reporter: Egbert
> Priority: Major
>
> I have a streaming job inserting records into an Elasticsearch cluster. I set
> the batch size appropriately big, but I found out this is not causing any
> effect at all: I found that all elements are inserted in batches of 1 or 2
> elements.
> The reason seems to be that this is a streaming pipeline, which may result in
> tiny bundles. Since ElasticsearchIO uses `@FinishBundle` to flush a batch,
> this will result in equally small batches.
> This results in a huge amount of bulk requests with just one element,
> grinding the Elasticsearch cluster to a halt.
> I have now been able to work around this by using a `GroupIntoBatches`
> operation before the insert, but this results in 3 steps (mapping to a key,
> applying GroupIntoBatches, stripping key and outputting all collected
> elements), making the process quite awkward.
> A much better approach would be to internalize this into the ElasticsearchIO
> write transform.. Use a timer that flushes the batch at batch size or end of
> window, not at the end of a bundle.
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