5141: Use the right amount of max memory and not impact the settings r=curquiza a=Kerollmops
Fixes#5132. Related to #5125.
Co-authored-by: Kerollmops <clement@meilisearch.com>
5056: Attach index name in error message r=irevoire a=airycanon
# Pull Request
## Related issue
Fixes#4392
## What does this PR do?
- ...
## PR checklist
Please check if your PR fulfills the following requirements:
- [x] Does this PR fix an existing issue, or have you listed the changes applied in the PR description (and why they are needed)?
- [x] Have you read the contributing guidelines?
- [x] Have you made sure that the title is accurate and descriptive of the changes?
Thank you so much for contributing to Meilisearch!
Co-authored-by: airycanon <airycanon@airycanon.me>
5123: Fix batch details r=dureuill a=irevoire
# Pull Request
## Related issue
Fixes https://github.com/meilisearch/meilisearch/issues/5079
Fixes https://github.com/meilisearch/meilisearch/issues/5112
## What does this PR do?
- Make the processing tasks actually processing in the stats of the batch instead of enqueued
- Stop counting one extra task for all non-prioritized batches in the stats
- Add a test
Co-authored-by: Tamo <tamo@meilisearch.com>
5125: Change the default max memory usage to 5% of the total memory r=ManyTheFish a=Kerollmops
After thorough testing, we found that giving 5% of the total available memory to allocate resident memory (caches and channels) is the best approach.
The main reason is that the new indexer is highly memory-map oriented, with LMDB, and reads the database while performing the indexation. So, by allowing the maximum amount of memory available to LMDB and the OS, it will perform the key-value store reads and all other indexation operations faster by keeping more pages hot in the cache. In #5124, we also sorted the entries to merge to improve the read speed of LMDB.
This is common in database management systems: Reading stuff on the disk is much faster when done in lexicographic order (the default sorted order of key values). The entries have a great chance of already being in the OS memory cache, as they were loaded in a previous read, and reading stuff on the disk is very slow compared to reading memory.
Co-authored-by: Kerollmops <clement@meilisearch.com>
5124: Optimize Prefixes and Merges r=ManyTheFish a=Kerollmops
In this PR, we plan to optimize the read of LMDB to use read the entries in lexicographic order and better use the memory-mapping OS cache:
- Optimize the prefix generation for word position docids (`@manythefish)`
- Optimize the parallel merging of the caches to sort entries before merging the caches (`@kerollmops)`
## Benchmarks on 1cpu 2gb gpo3 (5k IOps)
Before on the tag meilisearch-v1.12.0-rc.3.
```
word_position_docids:merge_and_send_docids: 988s
compute_word_fst: 23.3s
word_pair_proximity_docids:merge_and_send_docids: 428s
compute_word_prefix_fid_docids:recompute_modified_prefixes: 76.3s
compute_word_prefix_position_docids:recompute_modified_prefixes:from_prefixes: 429s
```
After sorting the whole `HashMap`s in a `Vec` on this branch.
```
word_position_docids:merge_and_send_docids: 202s
compute_word_fst: 20.4s
word_pair_proximity_docids:merge_and_send_docids: 427s
compute_word_prefix_fid_docids:recompute_modified_prefixes: 65.5s
compute_word_prefix_position_docids:recompute_modified_prefixes:from_prefixes: 62.5s
```
Co-authored-by: ManyTheFish <many@meilisearch.com>
Co-authored-by: Kerollmops <clement@meilisearch.com>
5120: Add cross tasks r=Kerollmops a=ManyTheFish
Add 4 xtask bench workloads:
- `hackernews-add-new-documents`: adds new documents on a db already containing documents
- `hackernews-modify-facet-numbers`: modify filterable fields containing numbers of documents on a db already containing documents
- `hackernews-modify-facet-strings`: modify filterable fields containing strings of documents on a db already containing documents
- `hackernews-modify-searchables`: modify searchable fields of documents on a db already containing documents
Co-authored-by: ManyTheFish <many@meilisearch.com>
