Create a simple JMH benchmark to measure FST compilation / traversal times
- Dominant language
- Java
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- 2d 11h
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Description
### Description
Over in #12543 we are struggling to measure the performance cost of different ways of creating an on-heap reader/writer. We have been using the "rough" numbers coming out of `Test2BFST` runs but this is non-ideal -- it is test code, running with assertions, perhaps doing sub-optimal FST usage (not matching what, say, block tree would do to the terms index).
Let's create a simple micro-benchmark to more readily benchmark FST changes?
Contributor guide
Research direction
Start by reading the Test2BFST code and issue #12543 to understand the existing rough measurements and the reader/writer creation approaches being compared. Define a simple JMH benchmark for FST compilation and traversal, with results that avoid assertion-enabled test execution and better reflect terms-index usage.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- java
- Domain
- performance
- Issue type
- Feature
- Difficulty
- 4/5
- Estimated time
- 3-5 days
- Activity status
- Stale
- Clarity
- Mostly clear
- Newbie friendliness
- 42/100