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https://issues.apache.org/jira/browse/FLINK-10195?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16593585#comment-16593585
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Luka Jurukovski commented on FLINK-10195:
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Just tested using the "basicGet" and a buffer. It looks like There is a limit
to the throughput using this methodology (I'm seeing a hard cap at ~60 r/s even
while multithreading the consumer and having a massive buffer).
I'll go with the original methodology of turning on and off the consumer.
[~StephanEwen], I'm new to open source contributions, should I self assign this
ticket and make a PR? Or do I have to wait for this issue to be voted on first?
> RabbitMQ Source With Checkpointing Doesn't Backpressure Correctly
> -----------------------------------------------------------------
>
> Key: FLINK-10195
> URL: https://issues.apache.org/jira/browse/FLINK-10195
> Project: Flink
> Issue Type: Bug
> Components: RabbitMQ Connector
> Affects Versions: 1.4.0, 1.5.0, 1.5.1, 1.6.0
> Reporter: Luka Jurukovski
> Priority: Major
>
> The connection between the RabbitMQ server and the client does not
> appropriately back pressure when auto acking is disabled. This becomes very
> problematic when a downstream process throttles the data processing to slower
> then RabbitMQ sends the data to the client.
> The difference in records ends up being stored in the flink's heap space,
> which grows indefinitely (or technically to "Integer Max" Deliveries).
> Looking at RabbitMQ's metrics the number of unacked messages looks like
> steadily rising saw tooth shape.
> Upon further invesitgation it looks like this is due to how the
> QueueingConsumer works, messages are added to the BlockingQueue faster then
> they are being removed and processed, resulting in the previously described
> behavior.
> This may be intended behavior, however this isn't explicitly obvious in the
> documentation or any of the examples I have seen.
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