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https://dev.mysql.com/doc/heatwave/en/mys-hw-performance-monitoring.html
MySQL HeatWave on AWS users can monitor MySQL HeatWave on the Performance page in the MySQL HeatWave Console. The MySQL Performance Schema collects statistics on the usage of MySQL HeatWave. Use SQL queries to access this data and check the system ...
https://dev.mysql.com/doc/heatwave/en/mys-hw-rpd-exec-stats-table.html
For MySQL HeatWave AutoML, this contains the MySQL HeatWave AutoML routine that the user runs. The rpd_exec_stats table stores query execution statistics produced by MySQL HeatWave nodes in JSON format. One row of execution statistics is stored for ...
https://dev.mysql.com/doc/heatwave/en/mys-hw-supported-cloud-platforms.html
On each platform, MySQL HeatWave supports one or more regions where user accounts are provisioned. This means that all the layers and components of MySQL HeatWave are deployed and fully managed on selected cloud platforms. MySQL HeatWave also ...
https://dev.mysql.com/doc/heatwave/en/mys-hw-workload-optimization-olap.html
To run Advisor for OLAP workloads, the MySQL HeatWave Cluster must be active, and the user must have the following MySQL privileges: The PROCESS privilege. Workload optimization for online analytical processing, OLAP, includes using dictionary ...
https://dev.mysql.com/doc/heatwave/en/mys-hwaml-explainers.html
mysql> SELECT column FROM ML_SCHEMA_user1.MODEL_CATALOG WHERE model_handle=model_handle; The following example retrieves the model explainer column from the model catalog of the previously trained model. After the ML_TRAIN routine, use the ...
https://dev.mysql.com/doc/heatwave/en/mys-hwaml-ml-model-unload.html
Use ML_MODEL_ACTIVE to check which models are active and owned by the user. mysql> CALL sys.ML_MODEL_UNLOAD('ml_data.iris_train_user1_1636729526'); An example that specifies a session variable containing the model handle. As of MySQL 9.0.0, ...
https://dev.mysql.com/doc/heatwave/en/mys-hwaml-onnx-metadata.html
For example, to convert inputs of the type tensor(float) to float64: data_types_map = {"tensor(float)": "float64"} MySQL HeatWave AutoML first checks the user data_types_map, and then the default data_types_map to check if the data type exists. To ...
https://dev.mysql.com/doc/heatwave/en/mys-hwaml-regression-score.html
For the option to set the user name, you can set it to NULL. After generating predictions and explanations, you can score the model to assess its reliability. For a list of scoring metrics you can use with regression models, see Regression Metrics.
https://dev.mysql.com/doc/relnotes/heatwave/en/news-8-0-33-u3.html
With this feature, users can now analyze data in both MySQL InnoDB and an object store using familiar SQL syntax in the same query. MySQL HeatWave Lakehouse MySQL HeatWave expands to include MySQL HeatWave Lakehouse, letting organizations process ...
https://dev.mysql.com/doc/relnotes/heatwave/en/news-8-2-0-u1.html
This is similar to COUNT(DISTINCT), but faster and with user defined precision. MySQL HeatWave Lakehouse Functionality Added or Changed MySQL HeatWave Lakehouse MySQL HeatWave Lakehouse now uses Auto Parallel Load to load Avro files. (WL #15778) ...