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https://dev.mysql.com/doc/relnotes/connector-j/en/news-9-3-0.html
(Bug #37311996) Implementations of the DatabaseMetaData methods have been revised in order to refactor code, increase performance, and prevent potential problems with quotes in identifiers. Version 9.3.0 is a new GA release of MySQL Connector/J.
https://dev.mysql.com/doc/mysql-router/9.4/en/mysql-router-conf-options.html
This can be set in three different ways (in order of precedence): the --pid-file command-line option, setting this pid_file option in Router's configuration file, or defining the ROUTER_PID environment variable. When started, MySQL Router reads a ...
https://dev.mysql.com/doc/mysql-ai/9.5/en/mys-ai-aml-anomaly-detection-logs.html
At least one column must act as the primary key to establish the temporal order of logs. Anomaly detection for logs allows you to detect anomalies in log data. To perform anomaly detection on logs, log data is cleaned, segmented, and encoded before ...
https://dev.mysql.com/doc/mysql-ai/9.5/en/mys-ai-aml-prepare-data-split.html
You can automatically create training and testing datasets with the TRAIN_TEST_SPLIT routine. Overview The TRAIN_TEST_SPLIT routine takes your datasets and prepares new tables for training and testing machine learning models. Two new tables in the ...
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-an-anomaly-detection-model.html
At least one column must act as the primary key to establish the temporal order of logs. After preparing the data for an anomaly detection model, you can train the model. Requirements for Anomaly Detection Training Consider the following based on ...
https://dev.mysql.com/doc/mysql-ai/9.5/en/mys-ai-aml-using-an-anomaly-detection-model.html
Requirements for Generating Predictions If you run ML_PREDICT_TABLE with the log_anomaly_detection task, at least one column must act as the primary key to establish the temporal order of logs. To generate predictions, use the sample data from the ...
https://dev.mysql.com/doc/mysql-ai/9.5/en/mys-ai-bulk-load-limitations.html
It fails if the input data requires rounding or truncation in order to be loaded. LOAD DATA with ALGORITHM=BULK supports tables with at least one column with the VECTOR data type. If you attempt to load a table without at least one column with the ...
https://dev.mysql.com/doc/mysql-ai/9.5/en/mys-mysqlai-ml-predict-table.html
Requirements and Options for Anomaly Detection Models If you run ML_PREDICT_TABLE with the log_anomaly_detection task, at least one column must act as the primary key to establish the temporal order of logs. ML_PREDICT_TABLE generates predictions ...
https://dev.mysql.com/doc/mysql-ai/9.5/en/mys-mysqlai-ml-train.html
At least one column must act as the primary key to establish the temporal order of logs. Run the ML_TRAIN routine on a training dataset to produce a trained machine learning model. Before training models, make sure to review the following: ...
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