merge: 20231108 #446
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merge: 20231108 #446
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analyze poalrdb log file and monitor db system info.
1. support log search_path info to log file.
2. support log paremeters type for parameterization SQL. Only parameters
type is logged for extended protocol. Parameters type and definnitation
of SQL are logged for PREPARED simple protocol.
3. Add pgreplay tool. currently, this version pgreplay can
support polardb audit log and workload replay monitor function
4. Support extension protocol of pg execution and normal execution
when prepare is not present on pgreplay.
The pgvector plugin is a plugin for PostgreSQL that provides high-performance vector data types and related query capabilities. This plugin makes it more efficient and convenient to store and process vector data in PostgreSQL. Here are some features and functionalities of the pgvector plugin: 1. Vector data type: The pgvector plugin introduces a new data type called "vector" that can be used to store and manipulate The pgvector plugin is a plugin for PostgreSQL that provides high-performance vector data types and related query capabilities. This plugin makes it more efficient and convenient to store and process vector data in PostgreSQL. Here are some features and functionalities of the pgvector plugin: 1. Vector data type: The pgvector plugin introduces a new data type called "vector" that can be used to store and manipulate high-dimensional vector data. 2. Vector indexing: pgvector provides support for indexing and querying vector data, making it easier to perform similarity searches, clustering, and classification operations on vector data. The plugin supports GIN and GiST index types. 3. Vector operations: pgvector provides a range of vector operation functions, allowing for addition, subtraction, dot product calculation, and length calculation between vectors. 4. Similarity search: The pgvector plugin supports similarity searches based on vector similarity metrics. It enables similarity calculation and search using cosine similarity and other measurement methods. 5. High performance: pgvector is optimized for vector data by utilizing SIMD instructions and efficient data structures, ensuring high-performance vector operations and queries. 6. Extensibility: As an open-source project, the pgvector plugin offers flexible custom extension interfaces, allowing users to customize and extend its functionality based on their specific needs.
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Hi @mrdrivingduck ~ Thanks for your contribution in this PR. ❤️ Please make sure that your PR conforms the standard, and has passed all the checks. We will review your PR as soon as possible. |
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Hey @mrdrivingduck : Congratulations~ 🎉 Your commit has passed all the checks. Please wait for further manual review. |
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