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https://dev.mysql.com/doc/refman/8.4/en/numeric-type-syntax.html
For integer data types, M indicates the minimum display width. Display width is unrelated to the range of values a type can store, as described in Section 13.1.6, “Numeric Type Attributes”. For floating-point and fixed-point data types, M is ...
https://dev.mysql.com/doc/refman/8.4/en/numeric-types.html
These types include the exact numeric data types (INTEGER, SMALLINT, DECIMAL, and NUMERIC), as well as the approximate numeric data types (FLOAT, REAL, and DOUBLE PRECISION). The keyword INT is a synonym for INTEGER, and the keywords DEC and FIXED ...
https://dev.mysql.com/doc/refman/8.4/en/performance-schema-socket-instances-table.html
The socket_instances table provides a real-time snapshot of the active connections to the MySQL server. The table contains one row per TCP/IP or Unix socket file connection. Information available in this table provides a real-time snapshot of the ...
https://dev.mysql.com/doc/refman/8.4/en/sql-mode.html
The MySQL server can operate in different SQL modes, and can apply these modes differently for different clients, depending on the value of the sql_mode system variable. DBAs can set the global SQL mode to match site server operating requirements, ...
https://dev.mysql.com/doc/c-api/8.4/en/mysql-stmt-fetch.html
int mysql_stmt_fetch(MYSQL_STMT *stmt) Description mysql_stmt_fetch() returns the next row in the result set. It can be called only while the result set exists; that is, after a call to mysql_stmt_execute() for a statement such as SELECT that ...
https://dev.mysql.com/doc/mysql-ai/9.4/en/mys-ai-aml-classification-generate-prediction.html
To generate predictions, use the sample data from the testing_data dataset. Even though the table has labels for the Approved target column, the column is not considered when generating predictions. This allows you to compare the predictions to the ...
https://dev.mysql.com/doc/mysql-ai/9.4/en/mys-ai-aml-regression-predictions.html
To generate predictions, use the sample data from the house_price_testing dataset. Even though the table has labels for the price target column, the column is not considered when generating predictions. This allows you to compare the predictions to ...
https://dev.mysql.com/doc/mysql-ai/9.4/en/mys-ai-aml-topic-modeling-prepare.html
This topic describes how to prepare the data to use for topic modeling. To prepare the data for this use case, you set up a dataset to use for both training and testing. You have the option to automatically Prepare Training and Testing Datasets ...
https://dev.mysql.com/doc/mysql-ai/9.4/en/mys-ai-aml-using-an-anomaly-detection-model.html
To generate predictions, use the sample data from the two anomaly detection datasets: credit_card_train and training_data. Both datasets have labeled and unlabeled rows, but only the dataset for semi-supervised learning uses this for training. The ...
https://dev.mysql.com/doc/mysql-ai/9.4/en/mys-aiaml-error-messages.html
Each error message includes an error number, SQLSTATE value, and message string, as described in Error Message Sources and Elements. Error number: ML001016; SQLSTATE: HY000 Message: Only classification, regression, and forecasting tasks are ...