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https://dev.mysql.com/doc/relnotes/connector-j/en/news-8-0-19.html
(Bug #30566384, Bug #97700) For some prepared statements, calling getMetaData() on them resulted in an Incorrect DATE error, even when no DATE values were involved. (Bug #30119545, Bug #96383) Streaming of multiple result sets failed with an error.
https://dev.mysql.com/doc/relnotes/connector-j/en/news-8-0-7.html
This fix adds checks for nulls, and makes Connector/J throw the proper errors for them. This fix adds checks for nulls, and makes Connector/J throw the proper errors for them. A new connection property, xdevapi.asyncResponseTimeout (default value is ... MySQL Connectors and other MySQL client tools and applications now synchronize the first digit of their version number with the (latest) MySQL server version they ...
https://dev.mysql.com/doc/relnotes/connector-j/en/news-8-0-9.html
(WL #8469) Bugs Fixed The connection property nullNamePatternMatchesAll, when set to false (which was the default value), caused some DatabaseMetaData methods to throw an error when a null search string was used with them. (Bug #26266731) ...
https://dev.mysql.com/doc/mysql-router/9.4/en/mysql-router-general-using-developing.html
Applications using a single MySQL connection at startup that does not test for connection errors must be updated. If a MySQL server fails, Router returns the connection error to the application. For these reasons, the application should be written ... MySQL Router usage does not require specific libraries or ...
https://dev.mysql.com/doc/mysql-ai/9.5/en/mys-ai-aml-model-catalog-table.html
If an error occurs during training or you cancel the training operation, AutoML records the error status in this column. It also records any error messages that occur during model training. The MODEL_CATALOG table ...
https://dev.mysql.com/doc/mysql-ai/9.5/en/mys-ai-aml-prepare-an-anomaly-detection-model.html
This topic describes how to prepare the data to use for two anomaly detection machine learning models: a semi-supervised anomaly detection model, and an unsupervised anomaly detection model for logs. To prepare the data for this use case, you set ...
https://dev.mysql.com/doc/mysql-ai/9.5/en/mys-ai-aml-training-a-recommendation-model.html
Values in this column must be in a STRING data type, otherwise an error is returned during training. Values in this column must be in a STRING data type, otherwise an error is returned during training. After preparing the data for a recommendation ...
https://dev.mysql.com/doc/mysql-ai/9.5/en/mys-ai-aml-using-an-anomaly-detection-model.html
To generate predictions, use the sample data from the two anomaly detection datasets: credit_card_train and training_data. Both datasets have labeled and unlabeled rows, but only the dataset for semi-supervised learning uses this for training. The ...
https://dev.mysql.com/doc/mysql-ai/9.5/en/mys-mysqlai-ml-rag-table.html
fail_on_embedding_error: if set to true, stops the batch processing of input queries and throws an error in case an error is encountered for an input row. If set to false, allows the batch processing to partially fail for rows where errors are ...
https://dev.mysql.com/doc/workbench/en/wb-forward-engineering-sql-scripts.html
Exporting privileges for nonexistent users will result in errors when you execute the CREATE script. Exporting users that already exist will also result in an error. Forward engineering enables you to create a script of your database model. You may ...