Search Results
https://dev.mysql.com/doc/heatwave/en/mys-hw-async-apptask-logs.html
The app_task_logs routine returns a list of logs associated with an application-level task. This topic contains the following sections: Syntax Syntax Example See Also Syntax mysql> SELECT mysql_tasks.app_task_logs( IN 'app_user_id' VARCHAR(255), IN ...
https://dev.mysql.com/doc/heatwave/en/mys-hw-async-apptask-status-brief.html
The app_task_status_brief routine returns the brief status of an application task, including a subset of information about the task and its last log entry. This topic contains the following sections: Syntax Syntax Example See Also Syntax mysql> ...
https://dev.mysql.com/doc/heatwave/en/mys-hw-async-apptask-status-list.html
The app_task_status_list routine returns a paginated list of application task statuses. This topic contains the following sections: Syntax Syntax Example See Also Syntax mysql> SELECT mysql_tasks.app_task_status_list( IN 'app_user_id' VARCHAR(255), ...
https://dev.mysql.com/doc/heatwave/en/mys-hw-async-apptask-status.html
This topic contains the following sections: Syntax Syntax Example See Also Syntax mysql> SELECT mysql_tasks.app_task_status( IN 'app_user_id' VARCHAR(255), IN 'task_id' VARCHAR (36); Following are app_task_status parameters: app_user_id ...
https://dev.mysql.com/doc/heatwave/en/mys-hw-async-apptask.html
The app_task routine returns information about a single application task. This topic contains the following sections: Syntax Syntax Example See Also Syntax mysql> SELECT mysql_tasks.app_task( IN 'app_user_id' VARCHAR(255), IN 'task_id' ...
https://dev.mysql.com/doc/heatwave/en/mys-hwaml-prepare-an-anomaly-detection-model.html
This topic describes how to prepare the data to use for two anomaly detection machine learning models: a semi-supervised anomaly detection model, and an unsupervised anomaly detection model for logs. To prepare the data for this use case, you set ...
https://dev.mysql.com/doc/heatwave/en/mys-hwaml-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/connector-j/en/connector-j-reference-type-conversions.html
MySQL Connector/J is flexible in the way it handles conversions between MySQL data types and Java data types. In general, any MySQL data type can be converted to a java.lang.String, and any numeric type can be converted to any of the Java numeric ...
https://dev.mysql.com/doc/refman/8.4/en/blob.html
A BLOB is a binary large object that can hold a variable amount of data. These differ only in the maximum length of the values they can hold. These correspond to the four BLOB types and have the same maximum lengths and storage requirements. They ...
https://dev.mysql.com/doc/refman/8.4/en/charset-column.html
Every “character” column (that is, a column of type CHAR, VARCHAR, a TEXT type, or any synonym) has a column character set and a column collation. CREATE TABLE t1 ( col1 CHAR(10) CHARACTER SET utf8mb4 COLLATE utf8mb4_unicode_ci ) CHARACTER SET ...