quickwit-oss/tantivy

Investigate the bottleneck in the search benchmark using toplev

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#1,003 建立於 2021年3月31日

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 (3 留言) (0 反應) (0 負責人)Rust (8,354 star) (499 fork)batch import
good first issuehelp wantedperformance

描述

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.

貢獻者指南

技術棧
rust
領域
performancebackend
議題類型
performance
難度面向新貢獻者的預計實作難度，1 表示很小改動，5 表示專家級工作。
4
預計時間有經驗貢獻者完成調查、實作、測試並準備 pull request 的粗略時間範圍。
3-5 days
活動狀態議題目前的可參與程度：新鮮、活躍、陳舊、阻塞或等待維護者輸入。
stale
清晰度議題是否清楚說明預期改動、驗收標準和下一步。
needs investigation
前置要求
Rustbenchmarking experiencetoplev toolPISA search engine
新手友善度1-100 的估計分數，表示該議題對首次貢獻者的友善程度。
20
研究方向
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.
Investigate the bottleneck in the search benchmark using toplev · quickwit-oss/tantivy#1003 | Good First Issue