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https://dev.mysql.com/doc/mysql-enterprise-backup/8.4/en/partial.html
This section explains options you can use to selectively back up or exclude data. Achieving a multiple of selection effects by using a combination of the above mentioned options. Backing up a selection of InnoDB tables using transportable ... By ...
https://dev.mysql.com/doc/mysql-cluster-manager/8.4/en/mcm-attribute-tables-mysqld.html
ndb_optimized_node_selection: Determines how SQL node chooses cluster data node to use as transaction coordinator. ndb_use_exact_count: Forces NDB to use a count of records during SELECT COUNT(*) query planning to speed up this type of query.
https://dev.mysql.com/doc/c-api/8.4/en/c-api-prepared-call-statements.html
The expected return information from the procedure therefore consists of multiple result sets and a final status: One result set from a SELECT that displays the initial parameter values: 10, NULL, 30. (The OUT parameter is assigned a value by the ...
https://dev.mysql.com/doc/c-api/8.4/en/mysql-field-count.html
This enables the client program to take proper action without knowing whether the query was a SELECT (or SELECT-like) statement. In this case, you are checking directly for an error from mysql_store_result() rather than inferring from the value of ... unsigned int mysql_field_count(MYSQL *mysql) Description Returns the number of columns for the most recent query on the ...
https://dev.mysql.com/doc/extending-mysql/8.4/en/plugin-types.html
If a plugin rewrites only SELECT statements to SELECT statements, there is no impact on binary logging because the server does not write SELECT statements to the binary log. You can add rows to its rules table to cause SELECT statement rewriting.
https://dev.mysql.com/doc/mysql-ai/9.5/en/mys-ai-aml-automl.html
Oracle AutoML replaces the laborious and time consuming tasks of the data analyst, whose workflow is as follows: Selecting a model from a large number of viable candidate models. Selecting only predictive features to speed up the pipeline and reduce ... The AutoML ML_TRAIN routine leverages Oracle AutoML technology to automate the process of training a machine learning ...
https://dev.mysql.com/doc/mysql-ai/9.5/en/mys-ai-aml-explanations-ml-explain-table.html
mysql> SELECT * FROM table_name LIMIT N; The following example queries the top three rows of the output table. mysql> SELECT * FROM table_name LIMIT N; The following example queries the top three rows of the output table. ML_EXPLAIN_TABLE explains ...
https://dev.mysql.com/doc/mysql-ai/9.5/en/mys-ai-aml-model-viewing.html
mysql> SELECT column FROM ML_SCHEMA_user name.MODEL_CATALOG where model_handle='model_handle'; The following example queries one of the model handles and views the model explanation for that model. To view the details for the models in your model ...
https://dev.mysql.com/doc/mysql-ai/9.5/en/mys-ai-aml-scoring-an-anomaly-detection-model.html
mysql> SELECT @anomaly_score; +--------------------+ | @anomaly_score | +--------------------+ | 0.6499999761581421 | +--------------------+ 1 row in set (0.0481 sec) If done working with the model, unload it with the ML_MODEL_UNLOAD routine. mysql> ... After generating predictions, you can score the model to assess its ...
https://dev.mysql.com/doc/mysql-ai/9.5/en/mys-ai-aml-training-a-recommendation-model.html
After preparing the data for a recommendation model, you can train the model. Requirements for Recommendation Training Define the following as required to train a recommendation model. Set the task parameter to recommendation to train a ...