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https://dev.mysql.com/doc/refman/8.4/en/performance-schema-variables-info-table.html
This includes option files not covered by EXPLICIT, EXTRA, LOGIN, PERSISTED, SERVER, or USER. LOGIN The variable was set from a user-specific login path file (~/.mylogin.cnf). USER The variable was set from a user-specific ~/.my.cnf option file.
https://dev.mysql.com/doc/refman/8.4/en/secure-client-programming.html
Handle External Data Properly Handle MySQL Error Messages Properly Handle External Data Properly Applications that access MySQL should not trust any data entered by users, who can try to trick your code by entering special or escaped character ...
https://dev.mysql.com/doc/mysql-ai/9.5/en/mys-mysqlai-ml-model-load.html
A model remains loaded until the model is unloaded using the ML_MODEL_UNLOAD routine Use ML_MODEL_ACTIVE to check which models are active for which users. All active users and models share the amount of memory defined by the shape, and it might be ... The ML_MODEL_LOAD routine loads a model from the model ...
https://dev.mysql.com/doc/heatwave/en/mys-hwaml-prepare-an-anomaly-detection-model.html
To ensure reliable predictions, you should create an additional validation dataset. You can reserve 20% of the records in the training dataset to create the validation dataset. mysql> CREATE DATABASE anomaly_data; mysql> USE anomaly_data; Create the ... 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 ...
https://dev.mysql.com/doc/mysql-ai/9.5/en/mys-ai-aml-prepare-an-anomaly-detection-model.html
To ensure reliable predictions, you should create an additional validation dataset. You can reserve 20% of the records in the training dataset to create the validation dataset. mysql> CREATE DATABASE anomaly_data; mysql> USE anomaly_data; Create the ... 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 ...
https://dev.mysql.com/doc/heatwave/en/mys-hw-lakehouse-table-syntax-sql.html
The following options apply to CREATE TABLE and ALTER TABLE statements. This topic contains the following sections: CREATE TABLE Statement External Table Options with SQL Syntax Column Definitions Table Parameters File Specifications File Format ...
https://dev.mysql.com/doc/refman/8.4/en/implicit-commit.html
This means that a ROLLBACK from the user does not undo CREATE TABLE statements the user made during that transaction. ALTER USER, CREATE USER, DROP USER, GRANT, RENAME USER, REVOKE, SET PASSWORD. CREATE TABLE and DROP TABLE statements do not commit ... The statements listed in this section (and any synonyms for them) implicitly end any transaction active in the current session, as if you had done a COMMIT before executing the ...
https://dev.mysql.com/doc/mysql-monitor/8.0/en/mem-unattended-installation-cmdline-options-server.html
MySQL Enterprise Service Manager supports using a bundled MySQL server, or a separate MySQL server provided by the user. Table 9.1 MySQL Enterprise Service Manager Installer Options Option Name Description --adminpassword Password for the database ... The following options let you customize the installation process for MySQL Enterprise Service ...
https://dev.mysql.com/doc/heatwave/en/mys-hwaml-model-catalog.html
MySQL HeatWave AutoML creates a model catalog for any user that creates a machine learning model. The MODEL_CATALOG table is created in a schema named ML_SCHEMA_user_name, where the user_name is the name of the owning user. When a user creates a ...
https://dev.mysql.com/doc/refman/8.4/en/keyring-encrypted-file-component.html
The database administrator has the responsibility for creating any configuration files to be used, and for ensuring that their contents are correct. Given the preceding configuration file properties, to configure component_keyring_encrypted_file, ...