query-frontend: Response caching should work for subqueries and part queries.

[bwplotka]

AC:

• Subqueries should be split & cached.

I think that should not be that hard to implement, but we would need to finally parse the query and understand what is nested.

cc @brancz, @pracucci @tomwilkie

[pracucci]

@owen-d This is your area of expertise. What's your take, especially considering the recently merged #1878 ?

[bwplotka]

We are happy to help in free time, but ideas/suggestions are very welcome.

Or if any work happened already for this (:

[bwplotka]

Any update on this? :hugs:

Any pointers for contributors, e.g if we would want to tackle it?

[owen-d]

I'm not sure if this will be straightforward to implement. We currently sequence a set of middlewares in the query frontend, of which a caching middleware is one. This makes it hard to pull out part of a query without dealing with the promql Engine, which is what we did in the sharding work (https://github.com/cortexproject/cortex/pull/1878). This could be another reason to support a refactoring of the query frontend though. There are a number of issues derived from sequencing middlewares this way, such as https://github.com/cortexproject/cortex/issues/1882

Caching middleware: https://github.com/cortexproject/cortex/blob/master/pkg/querier/queryrange/results_cache.go

Another thought - this is something we may want to solve via some sort of query planner.

[bwplotka]

Yes, definitely worth to look closer in to different design then. I would say initial promql parse might be necessary...

On Tue, 14 Apr 2020, 20:19 Owen Diehl, notifications@github.com wrote:

I'm not sure if this will be straightforward to implement. We currently sequence a set of middlewares in the query frontend, of which a caching middleware is one. This makes it hard to pull out part of a query without dealing with the promql Engine, which is what we did in the sharding work (

1878 https://github.com/cortexproject/cortex/pull/1878). This could be

another reason to support a refactoring of the query frontend though. There are a number of issues derived from sequencing middlewares this way, such as #1882 https://github.com/cortexproject/cortex/issues/1882

Caching middleware: https://github.com/cortexproject/cortex/blob/master/pkg/querier/queryrange/results_cache.go

Another thought - this is something we may want to solve via some sort of query planner.

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[bwplotka]

Something to add as well : https://github.com/thanos-io/thanos/issues/2569

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[pracucci]

Still valid

[pracucci]

Still valid

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[pracucci]

Still valid

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[jtlisi]

still valid

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[bboreham]

Definitely still valid.

Example: you can write an instant query like count(up)[60m:1m] which is basically the same thing as a range-query of count(up) over 60m with step 1m. Query-frontend will cache the latter but not the former.

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[midnightconman]

Still valid

On Fri, Oct 22, 2021, 08:24 stale[bot] @.***> wrote:

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