Comments (4)
The main difference between Gunicorn and Uvicorn (as I understand it) is that Uvicorn is best as a single-worker model whereas Gunicorn has better performance and support for multiple workers, where each worker is its own python process.
So on a "traditional" server where you want parallel request processing by multiple isolated workers, Gunicorn or a Gunicorn+Uvicorn combo is going to perform better.
But if we're contemplating an MVP where the primary "hot" representation of the data is in-memory, then we can't have multiple workers, because multiple processes don't share memory. We'd end up with N diverging in-memory representations if we did that.
So Gunicorn only becomes relevant in a world where we have a "stateless" FastAPI server that's writing through each request to some shared-state persisted database incrementally. Which relates to the question you asked in #38 and does somewhat depend on the capabilities of DuckDB to support overlapping updates from multiple processes.
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Close relation to #38 - definitely agree.
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We could move forward with this now I believe. @levand
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Moving to backlog
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Related Issues (20)
- [Bug]: Lack of Auth, headers and SSL (custom PKI/ignore) for Async client
- [Feature Request]: Singular Convenience Methods/Interfaces for Chroma Clients
- [Feature Request]: Structure Records as Objects/Dicts instead of parallel arrays. HOT 2
- [Feature Request]: Match shape of return type to shape of parameter types
- [Install issue]: How to initialize the tenant and database when using a kubernetes cluster? HOT 5
- [Bug]: v0.5.5 uses Pydantic 2 features while depending on Pydantic 1 HOT 1
- [Bug]: AttributeError: 'NoneType' object has no attribute 'get' HOT 16
- [Bug]: chromadb 0.5.4 crashes on windows HOT 27
- [Bug]: Unable to modify (update) collection metadata - "hnsw:space" will be lost. HOT 1
- [Feature Request]: Retrieve A List Of Metadata Or A List Of Collections HOT 9
- [Feature Request]: Retrieve A List Of Metadata Or Collections
- [Bug]: Error when loading chromadb collection froma docker container HOT 4
- [ENH] Client / Server versioning compatibility HOT 1
- [Install issue]: Authentication token not applied when using docker HOT 2
- [Feature Request]: AUR package
- [Bug]: 100% appear, windows11, python 3.11.9, the error will appear when 100th data insert to collection HOT 2
- [Bug]: System cache not cleared when a new database is loaded with same persitent_directory HOT 2
- '"chromadb"' has no exported member named 'OllamaEmbeddingFunction'[Bug]: HOT 1
- [Bug]: Docker compose chroma fail to build due to numpy 2.0 HOT 2
- ChromadB alters the order of metadata text compared to original HOT 3
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