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https://dev.mysql.com/doc/c-api/8.4/en/mysql-insert-id.html
uint64_t mysql_insert_id(MYSQL *mysql) Description Returns the value generated for an AUTO_INCREMENT column by the previous INSERT or UPDATE statement. Use this function after you have performed an INSERT statement into a table that contains an ...
https://dev.mysql.com/doc/extending-mysql/8.4/en/writing-audit-plugins.html
This section describes how to write a server-side audit plugin, using the example plugin found in the plugin/audit_null directory of MySQL source distributions. The audit_null.c and audit_null_variables.h source files in that directory implement an ...
https://dev.mysql.com/doc/extending-mysql/8.4/en/writing-full-text-plugins.html
MySQL supports server-side full-text parser plugins with MyISAM and InnoDB. For introductory information about full-text parser plugins, see Full-Text Parser Plugins. A full-text parser plugin can be used to replace or modify the built-in full-text ...
https://dev.mysql.com/doc/mysql-router/9.4/en/mysqlrouter.html
mysqlrouter Option Summaries mysqlrouter Option Descriptions MySQL Router accepts command line options that are passed into mysqlrouter to affect its behavior, or to bootstrap router based on an InnoDB Cluster. When starting Router, you can ...
https://dev.mysql.com/doc/mysql-ai/9.5/en/mys-ai-aml-classification-overview.html
This topic describes how to prepare the data to use for a classification machine learning model. The classification use-case is to approve or reject loan applications for clients based on their personal and socioeconomic status, assets, ...
https://dev.mysql.com/doc/mysql-ai/9.5/en/mys-ai-aml-preparing-a-recommendation-model.html
This topic describes how to prepare the data to use for a recommendation machine learning model using explicit feedback. To prepare the data for this use case, you set up a training dataset and a testing dataset. The training dataset has 86 ...
https://dev.mysql.com/doc/mysql-ai/9.5/en/mys-ai-bulk-load-mysql-server.html
MySQL includes a bulk load extension to the LOAD DATA statement. It can do the following: Optimize the loading of data sorted by primary key. Use a second session to monitor bulk load progress: If the data is sorted, there is a single stage: ...
https://dev.mysql.com/doc/mysql-ai/9.5/en/mys-ai-genai-generate-embeddings.html
This section describes how to generate vector embeddings using the ML_EMBED_ROW routine. Vector embeddings are a numerical representation of the text that capture the semantics of the data and relationships to other data. You can pass the text ...
https://dev.mysql.com/doc/mysql-ai/9.5/en/mys-ai-genai-run-chat.html
When you run GenAI Chat, it automatically loads the llama3.2-3b-instruct-v1 LLM. By default, GenAI 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/mysql-ai/9.5/en/mys-ai-genai-vector-store-overview.html
This section describes the Vector Store functionality available with GenAI. About Vector Store A vector store is a relational database that lets you load unstructured data. It automatically parses unstructured data formats, which include PDF ...