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https://dev.mysql.com/doc/x-devapi-userguide-shell-python/en/using-sql.html
In addition to the simplified X DevAPI syntax of the Session object, the Session object has a sql() function that takes any SQL statement as a string. The following example uses a Session to call an SQL Stored Procedure on the specific node.
https://dev.mysql.com/doc/heatwave/en/mys-hw-advisor-data-placement.html
Data placement keys are used to partition table data among MySQL HeatWave nodes when loading tables. Partitioning table data by JOIN and GROUP BY key columns can improve query performance by avoiding costs associated with redistributing data among ...
https://dev.mysql.com/doc/heatwave/en/mys-hw-bulk-load-mysql-server.html
MySQL includes a bulk load extension to the LOAD DATA statement that is only available in MySQL HeatWave on AWS. It can do the following: Optimize the loading of data sorted by primary key. Monitor bulk load progress with the Performance Schema (As ...
https://dev.mysql.com/doc/heatwave/en/mys-hw-genai-generate-content.html
The following sections in this topic describe how to generate new text-based content using MySQL HeatWave GenAI: Before You Begin Generate Content Run Batch Queries What's Next Before You Begin Review the MySQL HeatWave GenAI requirements and ...
https://dev.mysql.com/doc/heatwave/en/mys-hw-genai-rag.html
The ML_RAG routine runs retrieval-augmented generation which aims to generate more accurate responses for your queries. As of MySQL 9.5.0, you can use hybrid search, which combines semantic search and keyword-based search to effectively retrieve ...
https://dev.mysql.com/doc/heatwave/en/mys-hw-genai-run-chat.html
When you run MySQL HeatWave Chat, it automatically loads the default LLM. By default, MySQL HeatWave Chat searches for an answer to a query across all ingested documents by automatically discovering available vector stores, and returns the answer ...
https://dev.mysql.com/doc/heatwave/en/mys-hw-genai-summarize-content.html
The following sections in this topic describe how to summarize exiting content using MySQL HeatWave GenAI: Before You Begin Summarize Text Run Batch Queries What's Next Before You Begin Review the MySQL HeatWave GenAI requirements and privileges.
https://dev.mysql.com/doc/heatwave/en/mys-hw-genai-summarize-docs.html
As of MySQL 9.4.1, MySQL HeatWave GenAI lets you generate text summaries for unstructured files available in Object Storage. You need to first ingest these documents into vector store tables using Auto Parallel Load. The generated table contains ...
https://dev.mysql.com/doc/heatwave/en/mys-hw-lakehouse-auto-parallel-load-overview.html
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 automating many of the steps involved, including: Excluding schemas, ...
https://dev.mysql.com/doc/heatwave/en/mys-hw-partitioning.html
When data is loaded into MySQL HeatWave, it is partitioned by the table primary key and sliced horizontally for distribution among MySQL HeatWave nodes by default. To use this feature, define data placement keys on the most frequently used JOIN ...