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5288: Improve AI logging r=dureuill a=Kerollmops
This PR fixes#5285 and brings the changes from #5233 to simplify debugging indexation and search performance issues related to AI. The following texts can be found in the logs to debug and understand performance issues:
- `embed_one: search` represents the time we spent waiting for the embedding generation, i.e., OpenAI, local HuggingFace, Ollama.
- `filtered_universe: search::universe` the time spent filtering the documents.
- ~`next_bucket: search::vector_sort` is the time spent finding the nearest neighbors (ANNs) in the vector store (arroy), locally~ was being triggered too many times.
- `indexing::vectors` is the time arroy spends indexing the new vectors for a batch.
- `documents::extract vectors` and `documents::merge vectors` to see the time spent generating and writing the embeddings.
Co-authored-by: Kerollmops <clement@meilisearch.com>
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5306: Fix internal error when passing `documentTemplateMaxBytes` to a source that doesn't support it r=ManyTheFish a=dureuill
# Pull Request
## Related issue
Fixes#5305
## What does this PR do?
- add `DOCUMENT_TEMPLATE_MAX_BYTES` to `allowed_sources_for_field` and `allowed_fields_for_source` to prevent a panic
Co-authored-by: Louis Dureuil <louis@meilisearch.com>
5303: Bring back changes from v1.12.8 into v1.13.0 r=Kerollmops a=Kerollmops
Fixes#5087 and other problems that you can find in the original PR #5294.
Co-authored-by: Kerollmops <clement@meilisearch.com>
5235: Introduce a compaction subcommand in meilitool r=dureuill a=Kerollmops
This PR proposes a change to the meilitool helper, introducing the `compact-index` subcommand to reduce the size of the indexes.
While working on this tool, I discovered that the current heed `Env::copy_to_file` API is not very temp file friendly and [could be improved](https://github.com/meilisearch/heed/issues/306).
Co-authored-by: Kerollmops <clement@meilisearch.com>
Co-authored-by: Clément Renault <clement@meilisearch.com>
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5140: Fix workload inversion r=dureuill a=ManyTheFish
The used assets were inverted between `workloads/hackernews-modify-facet-numbers.json`
and `workloads/hackernews-modify-facet-strings.json`, now fixed.
Co-authored-by: ManyTheFish <many@meilisearch.com>
5300: Improve unexpected panic message r=irevoire a=irevoire
# Pull Request
## Related issue
Fixes https://github.com/meilisearch/meilisearch/issues/5273
## What does this PR do?
- When an unexpected panic happens in the index-scheduler we catch it and rebuild an error message from the join_error
- Same when the upgrade index-scheduler fails
Co-authored-by: Tamo <tamo@meilisearch.com>
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5177: Debug log the channel congestion r=Kerollmops a=Kerollmops
This PR displays the congestion of the BBQueue channel and the allocated memory for the channel and the extraction. This information can be beneficial for debugging and noticing slow disks. We show three pieces of information in debug:
- The direct attempts: the number of tries to send something in the BBQueue channel,
- The blocked attempts: the number of unsuccessful attempts that must be retried,
- The congestion: The percentage of blocking attempts. The higher, the slower the receiver and, therefore, the disk.
Co-authored-by: Kerollmops <clement@meilisearch.com>
Co-authored-by: Clément Renault <clement@meilisearch.com>
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5272: Fix Batches Deletion and flaky tests r=irevoire a=Kerollmops
- This issue fixes#5263 by removing the batches from the date and time databases.
- It also introduces a new `enqueued_at` field in the batch object to quickly retrieve them in the `batches.enqueued_at` database
- Finally, it probably fixes all the flaky tests of the batches: https://github.com/meilisearch/meilisearch/issues/5256
Co-authored-by: Kerollmops <clement@meilisearch.com>
Co-authored-by: Tamo <tamo@meilisearch.com>
5289: Fix workload files after removing the vectorStore experimental feature r=Kerollmops a=dureuill
Running the bench [currently fails](https://github.com/meilisearch/meilisearch/actions/runs/12990029453) on embedding-related workloads, due to the call to `/experimental-features` that is used to enable the vector store:
In v1.13, `vectorStore` is no longer an experimental feature, so trying to enable it causes a 400
Co-authored-by: Louis Dureuil <louis@meilisearch.com>
