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https://dev.mysql.com/doc/c-api/8.4/en/c-api-multiple-queries.html
After the connection to the server has been established, you can use the mysql_set_server_option() function to enable or disable multiple-statement execution by passing it an argument of MYSQL_OPTION_MULTI_STATEMENTS_ON or ... By default, ...
https://dev.mysql.com/doc/c-api/8.4/en/mysql-real-connect.html
mysql_real_connect() attempts to establish a connection to a MySQL server running on host. If passwd is NULL, only entries in the user table for the user that have a blank (empty) password field are checked for a match. See the note following this ... MYSQL * mysql_real_connect(MYSQL *mysql, const char *host, const char *user, const char *passwd, const char *db, unsigned int port, const char *unix_socket, unsigned long client_flag) Description Note mysql_real_connect() is a synchronous ...
https://dev.mysql.com/doc/c-api/8.4/en/mysql-use-result.html
MYSQL_RES * mysql_use_result(MYSQL *mysql) Description After invoking mysql_real_query() or mysql_query(), you must call mysql_store_result() or mysql_use_result() for every statement that successfully produces a result set (SELECT, SHOW, DESCRIBE, ...You must also call mysql_free_result() after you are done with the result ...
https://dev.mysql.com/doc/mysql-ai/9.5/en/mys-ai-aml-predictions.html
Predictions are generated by running ML_PREDICT_ROW or ML_PREDICT_TABLE on trained models. The row or table of data must have the same feature columns as the data used to train the model. ML_PREDICT_TABLE generates predictions for an entire table ...If the target column exists in the data to run predictions on, it is not considered during prediction ...
https://dev.mysql.com/doc/mysql-ai/9.5/en/mys-ai-aml-topic-modeling-prepare.html
mysql> CREATE DATABASE topic_modeling_data; mysql> USE topic_modeling_data; Create the table to use for both training and testing. mysql> CREATE TABLE movies ( description TEXT ); Insert the sample data into the table. This topic describes how to ...
https://dev.mysql.com/doc/mysql-ai/9.5/en/mys-ai-genai-vector-search.html
When you enter a query, GenAI performs a vector-based similarity search to retrieve similar content from the vector store and embedding tables available in the DB system. You can use both inbuilt vector store tables and tables containing your own ...This helps the LLM to produce more relevant and accurate results for your ...
https://dev.mysql.com/doc/mysql-ai/9.5/en/mys-ai-nl-sql.html
This feature collects information on the schemas, tables, and columns that you have access to, and then uses a Large Language Model (LLM) to generate an SQL query for the question pertaining to your data. GenAI lets you generate SQL queries from ...
https://dev.mysql.com/doc/mysql-ai/9.5/en/mys-mysqlai-ml-explain.html
ML_EXPLAIN Syntax mysql> CALL sys.ML_EXPLAIN ('table_name', 'target_column_name', model_handle, [options]); options: { JSON_OBJECT("key","value"[,"key","value"] ...) "key","value": { ['model_explainer', ... Running the ML_EXPLAIN routine on a model ...
https://dev.mysql.com/doc/workbench/en/wb-migration.html
Convert tables and copy data, but will not convert stored procedures, views, or triggers. MySQL Workbench provides the ability to migrate ODBC-compliant databases to MySQL. Setup may be the most challenging aspect of using the MySQL Workbench ...
https://dev.mysql.com/doc/connectors/en/connector-cpp-source-configuration-options.html
On non-Windows systems, CMake checks to see whether MYSQL_CONFIG_EXECUTABLE is set. -DBUNDLE_DEPENDENCIES=bool This is an internal option used for creating Connector/C++ distribution packages. -DCMAKE_BUILD_TYPE=type The type of build to produce: ...