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https://dev.mysql.com/doc/mysql-enterprise-backup/8.4/en/partial.html
By default, all the files under the database subdirectories in the data directory are included in the backup, so that the backup includes data from all MySQL storage engines, any third-party storage engines, and even any non-database files in that ...
https://dev.mysql.com/doc/mysql-cluster-manager/8.4/en/mcm-attribute-tables-mysqld.html
ndb-blob-read-batch-bytes: Specifies size in bytes that large BLOB reads should be batched into. ndb-blob-write-batch-bytes: Specifies size in bytes that large BLOB writes should be batched into. ndb-cluster-connection-pool-nodeids: Comma-separated ...
https://dev.mysql.com/doc/c-api/8.4/en/c-api-prepared-call-statements.html
This section describes prepared-statement support in the C API for stored procedures executed using CALL statements: Stored procedures executed using prepared CALL statements can be used in the following ways: A stored procedure can produce any ...
https://dev.mysql.com/doc/c-api/8.4/en/mysql-field-count.html
unsigned int mysql_field_count(MYSQL *mysql) Description Returns the number of columns for the most recent query on the connection. The normal use of this function is when mysql_store_result() returned NULL (and thus you have no result set pointer). In this case, you can call mysql_field_count() to determine whether mysql_store_result() should have produced a nonempty ...
https://dev.mysql.com/doc/extending-mysql/8.4/en/plugin-types.html
The plugin API enables creation of plugins that implement several capabilities: Loadable functions (UDFs) Storage engines Full-text parsers Daemons INFORMATION_SCHEMA tables Semisynchronous replication Auditing Authentication Password validation ...
https://dev.mysql.com/doc/mysql-ai/9.5/en/mys-ai-aml-automl.html
The AutoML ML_TRAIN routine leverages Oracle AutoML technology to automate the process of training a machine learning model. Oracle AutoML replaces the laborious and time consuming tasks of the data analyst, whose workflow is as follows: Selecting ...
https://dev.mysql.com/doc/mysql-ai/9.5/en/mys-ai-aml-explanations-ml-explain-table.html
ML_EXPLAIN_TABLE explains predictions for an entire table of unlabeled data. We recommend limiting the input table to a maximum of 100 rows. If the input table has more than ten columns, limit it to ten rows. Some of these columns include: ...
https://dev.mysql.com/doc/mysql-ai/9.5/en/mys-ai-aml-model-viewing.html
To view the details for the models in your model catalog, query the MODEL_CATALOG table. Before You Begin Review the following: Create a Machine Learning Model The Model Catalog View Details for Your Models The following example queries model_id, ...
https://dev.mysql.com/doc/mysql-ai/9.5/en/mys-ai-aml-scoring-an-anomaly-detection-model.html
After generating predictions, you can score the model to assess its reliability. For a list of scoring metrics you can use with anomaly detection models, see Anomaly Detection Metrics. For this use case, you use the test dataset for validation. In ...
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 ...