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https://dev.mysql.com/doc/mysql-cluster-manager/8.4/en/mcm-backup-cluster.html
backup cluster [--backupid=backup_id] [--snapshotstart | --snapshotend] [--waitstarted | --waitcompleted] [--password-file=filepath] cluster_name This command creates a backup of the MySQL NDB Cluster named cluster_name. backup cluster takes a ...
https://dev.mysql.com/doc/mysql-cluster-manager/8.4/en/mcm-using-import-cluster-prepare-for-migration.html
Create a MySQL user account on each of the wild cluster's SQL nodes for MySQL Cluster Manager to execute the import config and import cluster commands in the steps to follow. Also, as already stated in step (d) above, make sure that the --ndb-nodeid ... The next step in the import process is to prepare the wild cluster for ...
https://dev.mysql.com/doc/c-api/8.4/en/c-api-basic-interface-usage.html
Application programs should use this general outline for interacting with MySQL by means of the client library: Initialize the MySQL client library by calling mysql_library_init(). Initialize a connection handler by calling mysql_init() and connect ...For applications that are linked with the client library, they provide improved memory ...
https://dev.mysql.com/doc/extending-mysql/8.4/en/writing-password-validation-plugins.html
The instructions are based on the source code in the plugin/password_validation directory of MySQL source distributions. Note The plugin form of validate_password from older MySQL releases is deprecated and is subject to removal in a future version ... This section describes how to write a server-side password-validation ...
https://dev.mysql.com/doc/mysql-ai/9.5/en/mys-ai-aml-load-model.html
A model can only be loaded by the MySQL user that created the model unless you grant access to other users. The following example loads an AutoML model from the model catalog by using the session variable mysql> CALL sys.ML_MODEL_LOAD(@census_model, ... You must load a machine learning model from the model catalog before running AutoML routines other than ...
https://dev.mysql.com/doc/mysql-ai/9.5/en/mys-ai-aml-predictions-ml-predict-row.html
mysql> CALL sys.ML_TRAIN('census_data.census_train', 'revenue', JSON_OBJECT('task', 'classification'), @census_model); The following example loads the trained model. mysql> CALL sys.ML_MODEL_LOAD(@census_model, NULL); For more information about ...
https://dev.mysql.com/doc/mysql-ai/9.5/en/mys-ai-genai-privileges.html
mysql> GRANT SELECT, INSERT, CREATE, DROP, ALTER, UPDATE ON output_schema.* TO 'user_name'@'%'; For more information, see Privileges Provided by MySQL and Default MySQL Privileges.
https://dev.mysql.com/doc/mysql-ai/9.5/en/mys-mysqlai-ml-model-active.html
ML_MODEL_ACTIVE Syntax mysql> CALL sys.ML_MODEL_ACTIVE (user, model_info); ML_MODEL_ACTIVE parameters: user: The user to provide information for. Use the ML_MODEL_ACTIVE routine to check which models are loaded and active for which users. All ...
https://dev.mysql.com/doc/mysql-ai/9.5/en/mys-mysqlai-ml-predict-row.html
mysql> SELECT sys.ML_PREDICT_ROW(JSON_OBJECT("column_name", value, "column_name", value, ...), model_handle, options); Run ML_PREDICT_ROW on multiple rows of data by specifying the columns as key-value pairs in JSON format and select from a table.
https://dev.mysql.com/doc/mysql-ai/9.5/en/mys-mysqlai-ml-score.html
ML_SCORE Syntax mysql> CALL sys.ML_SCORE(table_name, target_column_name, model_handle, metric, score, [options]); options: { JSON_OBJECT("key","value"[,"key","value"] ...) "key","value": { ['threshold', 'N'] ['topk', 'N'] ['remove_seen', ...