5364: Rename `callTrace` into `progressTrace` r=Kerollmops a=Kerollmops
Rename the `callTrace` field into a `progressTrace`.
Co-authored-by: Kerollmops <clement@meilisearch.com>
5351: Bring back v1.13.0 changes into main r=irevoire a=Kerollmops
This PR brings back the changes made in v1.13 into the main branch.
Co-authored-by: ManyTheFish <many@meilisearch.com>
Co-authored-by: Kerollmops <clement@meilisearch.com>
Co-authored-by: Louis Dureuil <louis@meilisearch.com>
Co-authored-by: Clémentine <clementine@meilisearch.com>
Co-authored-by: meili-bors[bot] <89034592+meili-bors[bot]@users.noreply.github.com>
Co-authored-by: Tamo <tamo@meilisearch.com>
Co-authored-by: Clément Renault <clement@meilisearch.com>
5342: Fix workload sha r=dureuill a=ManyTheFish
The dataset shasum was wrong for some workloads making the `/bench workloads/*.json` crash
Co-authored-by: ManyTheFish <many@meilisearch.com>
5339: Add back timeout from v1.11.3 r=Kerollmops a=dureuill
# Pull Request
## Related issue
Fixes#5337
## What does this PR do?
- Fix regression compared with v1.11 by reintroducing the 30s timeout on all REST API calls.
Thanks to `@migueltarga` for reporting the issue
Co-authored-by: Louis Dureuil <louis@meilisearch.com>
5336: Meilitool Hair Dryer r=dureuill a=Kerollmops
This pull request introduces a new subcommand to hair dry a specific part of specific indexes. It is useful when [the memory-mapped pages are not hot in the cache](https://arc.net/l/quote/ixhcdwcq) and must be. Hair drying those interesting pages makes the search requests using the vector store much faster.
The previous technique used the "cat method," which consists of reading the whole LMDB data file and pipping it into the null file descriptor. By doing that, the whole LMDB data file becomes hot in the cache. However, when the database is large, at least 30% of it is free, and unused pages and many other pages don't need to be hot, e.g., raw JSON documents or uninteresting parts of the inverted index.
This new subcommand reads all the Arroy pages of a given index to make them hot, and only those. More coming...
The current algorithm is single-threaded and takes a lot of time. I am in the process of multithreading it. This is the time it takes to hair dry a 305GiB database with a single thread.
```
real 21m51.054s
user 0m3.155s
sys 0m19.393s
```
## To Do
- [ ] (optional) Do the reads in parallel.
Co-authored-by: Kerollmops <clement@meilisearch.com>
