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https://dev.mysql.com/doc/ndb-operator/8.4/en/crd-ndbclusterstatus.html
processedGeneration (integer): Holds the latest generation of the Ndb resource whose specs have been successfully applied to the NDB Cluster running inside Kubernetes. readyMySQLServers (string): The status of the MySQL servers attached to the NDB ...
https://dev.mysql.com/doc/relnotes/connector-j/en/news-8-0-19.html
Version 8.0.19 is the latest General Availability release of the 8.0 series of MySQL Connector/J. It is suitable for use with MySQL Server versions 8.0, 5.7, and 5.6. It supports the Java Database Connectivity (JDBC) 4.2 API, and implements the X ...
https://dev.mysql.com/doc/mysql-router/9.4/en/mysql-router-installation-docker.html
The Docker deployment framework supports easy installation and configuration of MySQL Router. This section explains how to use a MySQL Router Docker image. You need to have Docker installed on your system before you can use a MySQL Router Docker ...
https://dev.mysql.com/doc/mysql-ai/9.5/en/mys-ai-aml-scoring-a-recommendation-model.html
After generating predicted ratings/rankings and recommendations, you can score the model to assess its reliability. For a list of scoring metrics you can use with recommendation models, see Recommendation Model Metrics. For this use case, you use ...
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-topic-modeling-prediction.html
After training the model, you can run topic modeling on the trained text. To run topic modeling, use the sample data from the movies dataset. When the output table generates, you can review the generated word groups and expressions for the trained ...
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-ai-genai-summarize-content.html
The following sections in this topic describe how to summarize exiting content using the GenAI: Before You Begin Summarizing Content Running Batch Queries What's Next Before You Begin Review the GenAI requirements and privileges. For Running Batch ...
https://dev.mysql.com/doc/mysql-ai/9.5/en/mys-mysqlai-ml-embed-table.html
The ML_EMBED_TABLE routine runs multiple embedding generations in a batch, in parallel. This topic contains the following sections: ML_EMBED_TABLE Syntax Syntax Examples See Also To learn about the privileges you need to run this routine, see ...
https://dev.mysql.com/doc/mysql-ai/9.5/en/mys-mysqlai-ml-predict-row.html
ML_PREDICT_ROW generates predictions for one or more rows of unlabeled data specified in JSON format. A call to ML_PREDICT_ROW can include columns that were not present during ML_TRAIN. A table can include extra columns, and still use the AutoML ...