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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/connectors/en/connector-cpp-introduction.html
On Windows platforms, Commercial and Community Connector/C++ distributions require the Visual C++ Redistributable for Visual Studio. The Redistributable is available at the Visual Studio Download Center; install it before installing Connector/C++.
https://dev.mysql.com/doc/connectors/en/connector-net-programming-authentication-user-plugin.html
Advanced users with special security requirements can create their own authentication plugins for MySQL Connector/NET applications. For background and usage information about MySQL authentication plugins, see Authentication Plugins and Writing ...
https://dev.mysql.com/doc/connectors/en/connector-net-tutorials-intro.html
This section provides a gentle introduction to programming with MySQL Connector/NET. The code example is written in C#, and is designed to work on both Microsoft .NET Framework and Mono. This tutorial is designed to get you up and running with ...