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https://dev.mysql.com/doc/relnotes/connector-j/en/news-9-3-0.html
(Bug #19829452) UpdatableResultSet did not map correctly and set the values for primary keys when refreshing rows, resulting in createSQLExceptions. Version 9.3.0 is a new GA release of MySQL Connector/J. MySQL Connector/J 9.3.0 supersedes 9.2 and ...
https://dev.mysql.com/doc/relnotes/connector-j/en/news-9-4-0.html
(WL #16917) Bugs Fixed When using the authentication_oci_client plugin, Connector/J failed to parse the private key file correctly when it contained the optional security marker OCI_API_KEY at the end. Note These release notes were created with the ...
https://dev.mysql.com/doc/mysql-router/9.4/en/mysql-router-configuration-file-locations.html
MySQL Router scans for the default configuration files at startup, and optionally loads user-defined configuration files at runtime from the command line. You can alter the default locations at compile time by using the -DROUTER_CONFIGDIR=<path> ...
https://dev.mysql.com/doc/mysql-router/9.4/en/mysql-router-general-features-connection-routing.html
The second part, simple_redirect, is an optional section key to differentiate between other routing strategies. Connection routing means redirecting MySQL connections to an available MySQL server. For an example deployment using basic connection ...
https://dev.mysql.com/doc/mysql-router/9.4/en/mysqlrouter_passwd.html
The mysqlrouter_passwd utility is a command line application to manage the accounts in the passwd file. For example usage, see Section 6.1, “A Simple MySQL Router REST API Guide”. Usage information: Usage bin/mysqlrouter_passwd [opts] <cmd> ...
https://dev.mysql.com/doc/mysql-ai/9.5/en/mys-ai-aml-data-drift-detection.html
MySQL AI includes data drift detection for classification and regression models. Before You Begin Review how to Create a Machine Learning Model. Data Drift Detection Overview Machine learning typically makes an assumption that the training data and ...
https://dev.mysql.com/doc/mysql-ai/9.5/en/mys-ai-aml-onnx-import-overview.html
The prediction column must contain a JSON object literal of name value keys. You cannot directly load models in ONNX format (.onnx) into a MySQL table. The models require string serialization and conversion to Base64 encoding before you use the ...
https://dev.mysql.com/doc/mysql-ai/9.5/en/mys-ai-aml-predictions-ml-predict-row.html
ML_PREDICT_ROW generates predictions for one or more rows of data specified in JSON format. The following example trains a dataset with the classification machine learning task. mysql> CALL sys.ML_TRAIN('census_data.census_train', 'revenue', ...
https://dev.mysql.com/doc/mysql-ai/9.5/en/mys-ai-aml-prepare-a-forecasting-model.html
mysql> CREATE TABLE electricity_demand ( date DATE PRIMARY KEY, demand FLOAT NOT NULL, temperature FLOAT NOT NULL ); Insert the sample data into the table. This topic describes how to prepare the data to use for a forecasting machine learning model. To prepare the data for this use case, you set up a training dataset and a testing ...
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 ...
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