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count 429s in elasticsearch output #8056

Merged
merged 2 commits into from
Aug 27, 2018
Merged

count 429s in elasticsearch output #8056

merged 2 commits into from
Aug 27, 2018

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graphaelli
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As a libbeat user, I'd like more help tracking down when elasticsearch is the bottleneck in event ingestion and could use configuration tuning or more nodes. A rise in 429s can provide some indication of this situation.

This change adds a new observable method ErrTooMany and corresponding monitoring metric output.events.toomany that is only reported by the elasticsearch output.

Eventually, a distribution of time spent in queue (ack time - receive time) would be useful across more outputs, but this is a start.

@graphaelli
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Open to suggestions on how to test this.

@ph ph added the libbeat label Aug 22, 2018
@graphaelli graphaelli force-pushed the count-429 branch 2 times, most recently from 2f73a5c to f8dad25 Compare August 22, 2018 21:46
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ph commented Aug 22, 2018

@graphaelli I am +1 to track 429 at the output level, Concerning testing sadly I don't think we test any of the stats at the client level. I would probably take the following strategy:

  1. Implement a mock http to control the response.
  2. Create a spy observer and do the assert there?

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ruflin commented Aug 23, 2018

I think it would be super helpful to have these values also in stack monitoring. If you agree, could you open a meta issue here? https://github.com/elastic/stack-monitoring

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@ph I started adding that and found some existing code that actually works for this. 97cb68c up for review.

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LGTM, @ruflin you want to take a look since you were commenting?

stats.nonIndexable++
continue
if status < 500 {
if status == http.StatusTooManyRequests {
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glad I am not the only one that use these constants :)

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LGTM. Please make sure to file a follow up issue in stack-monitoring so we have it in Elasticsearch templates and the UI.

@ph ph merged commit 109dcce into elastic:master Aug 27, 2018
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3 participants