Query Frontend: Job weights

[joe-elliott]

What this PR does:
The query frontend treats all jobs as the same size when it farms them out to the queriers. This can cause querier instability b/c some jobs actually require quite a bit more resources to execute. By assigning weights to jobs we can reduce the amount each querier is asked to do will hopefully:

1. reduce querier OOMs/timeouts/retries
2. reduce querier latency
3. increase total throughput

Other changes

• Removed the roundtripper httpgrpc bridge and pushed the concept of pipeline.Request all the way down into the cortex frontend code. This can be a nice perf improvement b/c translating http -> httpgrpc is costly and we are pushing it to the last moment. Currently for some queries we are translating thousands of jobs and then throwing them away.
• Removed redundant parseQuery and createFetchSpansRequest to consolidate on the Compile function in pkg/traceql
• Check for context error before going through retry logic in retryWare. This causes retry metrics to be more accurate in the event of many cancelled jobs.

Checklist

• Tests updated
• Documentation added
• CHANGELOG.md updated - the order of entries should be [CHANGE], [FEATURE], [ENHANCEMENT], [BUGFIX]

[zalegrala]

I think this makes sense. I suppose what we're saying here is that we request of this batch a certain high water mark of work that we're willing to take, and the weight increases the notion of complexity for a single item above this threshold. Implicitly here I suppose is that weight and requestedCount are of the same unit of measure.

[joe-elliott]

Implicitly here I suppose is that weight and requestedCount are of the same unit of measure.

yes! currently all jobs fill a single "slot" in the batch. the "weight" is basically just making it fill more slots.

[zalegrala]

A fine starting point. I was wonder if each condition is weight++, and maybe each regex is weight+2 or some such. It means for the queue logic that if any condition is present, we'll never consume the entire requested batch. 🤔