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https://dev.mysql.com/doc/heatwave/en/heatwave-system-variables.html
Most MySQL HeatWave variable settings are managed by OCI and cannot be modified directly. bulk_loader.data_memory_size Command-Line Format --bulk_loader.data_memory_size=# System Variable bulk_loader.data_memory_size Scope Global Dynamic Yes SET_VAR ...
https://dev.mysql.com/doc/heatwave/en/mys-hw-genai-summarize-content.html
The following sections in this topic describe how to summarize exiting content using MySQL HeatWave GenAI: Before You Begin Summarize Text Run Batch Queries What's Next Before You Begin Review the MySQL HeatWave GenAI requirements and privileges.
https://dev.mysql.com/doc/heatwave/en/mys-hw-lakehouse-load-event-based.html
As of MySQL 9.4.1, you can load data from Object Storage by using event-based incremental load. Once an event for an external file location is emitted due to a change to an object, Lakehouse automatically refreshes the data into the external table.
https://dev.mysql.com/doc/heatwave/en/mys-hw-lakehouse-table-syntax-json.html
External tables use table-level and column-level ENGINE_ATTRIBUTE options of the CREATE TABLE statement to specify the parameters needed to process data stored externally in Object Storage. CREATE EXTERNAL TABLE table_name (col_name data_type ...
https://dev.mysql.com/doc/heatwave/en/mys-hwaml-ml-metrics.html
The ML_TRAIN routine includes the optimization_metric option, and the ML_SCORE routine includes the metric option. Both of these options define a metric that must be compatible with the task type and the target data. precision_k: An Oracle ...
https://dev.mysql.com/doc/heatwave/en/mys-hwaml-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/heatwave/en/mys-hwgenai-ml-generate.html
The ML_GENERATE routine uses the specified large language model (LLM) to generate text-based content as a response for the given natural-language query. As of MySQL 9.4.1, the ML_GENERATE lets you generate text-based responses for queries ...
https://dev.mysql.com/doc/relnotes/heatwave/en/news-9-4-0.html
Note MySQL HeatWave User Guide has been restructured and improved to provide better visibility of high-level tasks. Note These release notes were created with the assistance of MySQL HeatWave GenAI. MySQL HeatWave AutoML MySQL HeatWave GenAI MySQL ...
https://dev.mysql.com/doc/relnotes/heatwave/en/news-9-4-1.html
These release notes were created with the assistance of MySQL HeatWave GenAI. MySQL HeatWave AutoML MySQL HeatWave GenAI MySQL HeatWave Lakehouse MySQL HeatWave MySQL HeatWave AutoML MySQL HeatWave AutoML now supports enhanced data preparation ...
https://dev.mysql.com/doc/relnotes/heatwave/en/news-9-5-0.html
Note These release notes were created with the assistance of MySQL HeatWave GenAI. MySQL HeatWave AutoML MySQL HeatWave GenAI MySQL HeatWave Lakehouse MySQL HeatWave MySQL HeatWave AutoML MySQL HeatWave AutoML now supports enhanced log anomaly ...