quickwit-oss/tantivy

Investigate the bottleneck in the search benchmark using toplev

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#1,003 opened on Mar 31, 2021

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 (3 comments) (0 reactions) (0 assignees)Rust (8,354 stars) (499 forks)batch import
good first issuehelp wantedperformance

Description

Toplev seems very interesting to identify bottlenecks.

Let's use it and compare the results to our current champion PISA. We want different report for intersections, union, and phrase queries.

Contributor guide

Tech stack
rust
Domain
performancebackend
Issue type
performance
DifficultyEstimated implementation difficulty for a new contributor, from 1 for very small changes to 5 for expert-level work.
4
Estimated timeA rough time range for an experienced contributor to investigate, implement, test, and prepare a pull request.
3-5 days
Activity statusHow available the issue appears right now: fresh, active, stale, blocked, or waiting on maintainer input.
stale
ClarityHow clearly the issue explains the expected change, acceptance criteria, and next step.
needs investigation
Prerequisites
Rustbenchmarking experiencetoplev toolPISA search engine
Newbie friendlinessA 1-100 score estimating how approachable this issue is for first-time contributors.
20
Research direction
The issue asks to use the toplev tool to profile Tantivy's search benchmarks and compare results with PISA, focusing on intersection, union, and phrase queries. Start by setting up Tantivy's benchmarking framework (likely in the 'benches' directory), install toplev, run benchmarks, and capture performance counter data. Then generate reports for each query type and compare the bottleneck analysis with PISA. Check existing comments or related PRs for any prior attempts.