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https://dev.mysql.com/doc/relnotes/connector-python/en/news-8-0-20.html
Note Note that this means that the connection option "use_pure=True" can't be used on EL7, SLES 12, nor Ubuntu 16.04 unless the system has Python protobuf 3.0.0 or higher installed. That is, the next candidate for making a connection is chosen ...
https://dev.mysql.com/doc/x-devapi-userguide/en/collection-modify.html
The modify(SearchConditionStr) function is for modifying documents in a collection, similar to an UPDATE statement for an SQL database. It takes a search condition string (SearchConditionStr) as a parameter to specify the documents that are to be ...
https://dev.mysql.com/doc/x-devapi-userguide/en/fetching-all-data-items-at-once.html
In addition to the pattern of using fetchOne() explained at Section 9.3, “Working with Data Sets”, which enables applications to consume data items one by one, X DevAPI also provides a pattern using fetchAll(), which passes all data items of a ...
https://dev.mysql.com/doc/heatwave/en/mys-hw-advisor-auto-indexing-execution.html
Autopilot Indexing provides recommendations for schemas with a representative workload that has at least five queries in the SQL statement digest history in the Performance Schema. Autopilot Indexing only evaluates SQL statements in the SQL ...
https://dev.mysql.com/doc/heatwave/en/mys-hw-auto-parallel-load.html
You can load data into a MySQL HeatWave Cluster by using the Auto Parallel Load feature. Auto Parallel Load, which can be run manually from any MySQL client or connector, is implemented as a stored procedure named heatwave_load, which resides in ...
https://dev.mysql.com/doc/heatwave/en/mys-hw-auto-unload-syntax.html
This adds an include list to exactly specify the tables to unload, which eliminates the need to include a database and exclude unnecessary tables. mysql> CALL sys.HEATWAVE_UNLOAD_all (options); options: {JSON_OBJECT(keyvalue[, keyvalue]...)|NULL} ...
https://dev.mysql.com/doc/heatwave/en/mys-hw-dynamic-query-offload.html
Dynamic query offload analyses the query characteristics and execution engine static and dynamic characteristics to choose the best engine for the query, given the current system state. Before MySQL 9.0.0, MySQL HeatWave uses a query cost threshold ...
https://dev.mysql.com/doc/heatwave/en/mys-hw-genai-vector-search.html
When you enter a query, MySQL HeatWave GenAI performs a vector-based similarity search to retrieve similar content from the vector store and embedding tables available in the DB system. This helps the LLM to produce more relevant and accurate ...
https://dev.mysql.com/doc/heatwave/en/mys-hw-genai-vector-store-overview.html
This enables the in-database retrieval-augmented generation (RAG) system to perform a semantic search in the proprietary data stored in the vector stores to find appropriate content, which is then fed to the LLM to help it generate more accurate and ... This section describes the Vector Store functionality available in MySQL ...
https://dev.mysql.com/doc/heatwave/en/mys-hw-lakehouse-auto-parallel-load-overview.html
The PROCESS privilege on the appropriate database in the DB System. Lakehouse Auto Parallel Load, which extends the Auto Parallel Load feature of MySQL HeatWave, facilitates the process of loading data from Object Storage into MySQL HeatWave by ...