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https://dev.mysql.com/doc/mysql-enterprise-backup/8.4/en/mysqlbackup.privileges.html
This also optimizes locking in order to minimize disruption to database processing. The mysqlbackup command connects to the MySQL server using the credentials supplied with the --user and --password options. You can either create a new user with a ...
https://dev.mysql.com/doc/mysql-cluster-manager/8.4/en/mcm-attribute-tables-ndbd.html
SchedulerResponsiveness: Set NDB scheduler response optimization 0-10; higher values provide better response time but lower throughput. ApiFailureHandlingTimeout: Maximum time for API node failure handling before escalating. Arbitration: How ...
https://dev.mysql.com/doc/mysql-cluster-manager/8.4/en/mcm-autotune.html
autotune [--dryrun] [--sequential-restart] [--writeload=writeload] template cluster_name writeload: {low|medium|high} template: {web|realtime|test} The command autotune a number of parameters for the cluster according to the specified values for ...
https://dev.mysql.com/doc/mysql-cluster-manager/8.4/en/mcm-client-commands.html
These commands are issued to the management agent using the mysql client program included with the MySQL NDB Cluster distribution (for information about the mysql client not specific to using MySQL Cluster Manager, see mysql — The MySQL ...
https://dev.mysql.com/doc/c-api/8.4/en/mysql-fetch-lengths.html
If you plan to copy field values, this length information is also useful for optimization, because you can avoid calling strlen(). unsigned long * mysql_fetch_lengths(MYSQL_RES *result) Description Returns the lengths of the columns of the current ...
https://dev.mysql.com/doc/c-api/8.4/en/mysql-stmt-result-metadata.html
If you call mysql_stmt_result_metadata() after mysql_stmt_prepare() but before mysql_stmt_execute(), the column types in the metadata are as determined by the optimizer. MYSQL_RES * mysql_stmt_result_metadata(MYSQL_STMT *stmt) Description ...
https://dev.mysql.com/doc/mysql-ai/9.5/en/index.html
It covers how to load data, run queries, optimize analytics workloads, and use machine learning and generative AI capabilities. For help with using MySQL, please visit the MySQL Forums, where you can discuss your issues with other MySQL users.
https://dev.mysql.com/doc/mysql-ai/9.5/en/mys-ai-aml-automl-workflow.html
AutoML analyzes the training data, trains an optimized machine learning model, and stores the model in a model catalog. A typical AutoML workflow is described below: When you run the ML_TRAIN routine, AutoML retrieves the data to use for training.
https://dev.mysql.com/doc/mysql-ai/9.5/en/mys-ai-aml-features.html
You provide the data, and AutoML analyzes the characteristics of the data and creates an optimized machine learning model that you can use to generate predictions and explanations. The AutoML feature of MySQL AI makes it easy to use machine ...
https://dev.mysql.com/doc/mysql-ai/9.5/en/mys-ai-aml-training-an-anomaly-detection-model.html
It identifies the optimal weight between the two components based on the metric. After preparing the data for an anomaly detection model, you can train the model. Requirements for Anomaly Detection Training Consider the following based on the type ...
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