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https://dev.mysql.com/doc/heatwave/en/mys-hw-limitations-bulk-load.html
The state of the table should be as though it has been freshly created. MySQL HeatWave on OCI does not support LOAD DATA with ALGORITHM=BULK. MySQL HeatWave on AWS does support LOAD DATA with ALGORITHM=BULK, but does not support the INFILE and URL ...
https://dev.mysql.com/doc/heatwave/en/mys-hw-loading-data-manually.html
You can manually load data from InnoDB tables in your DB System into MySQL HeatWave Cluster by using SQL data definition language (DDL) such as CREATE TABLE and ALTER TABLE statements. Perform the following steps sequentially for each table that ...
https://dev.mysql.com/doc/heatwave/en/mys-hw-quickstart-prereqs.html
What's Next Learn more about creating a MySQL HeatWave DB System. You need an operational MySQL HeatWave DB System with the MySQL HeatWave Cluster enabled to do the following: Load and manage data in the MySQL HeatWave Cluster. Some of these ...
https://dev.mysql.com/doc/heatwave/en/mys-hw-rpd_vector_indexes-table.html
The rpd_vector_indexes table provides information about vector indexes created for different vector store or embedding tables. SPACE: Vector distance metric, which can be one of: DOT, EUCLIDEAN, and COSINE. Queries using the same distance metric ...
https://dev.mysql.com/doc/heatwave/en/mys-hw-run-query.html
This topic describes how to use the EXPLAIN statement to analyze query execution and verify whether a query is offloaded to MySQL HeatWave for accelerated processing. To learn how to download the sample database, see AirportDB Analytics Quickstart.
https://dev.mysql.com/doc/heatwave/en/mys-hwaml-anomaly-detection.html
To generate your own datasets to create machine learning models in MySQL HeatWave, learn how to Generate Text-Based Content. Anomaly detection, which is also known as outlier detection, is the machine learning task that finds unusual patterns in ...
https://dev.mysql.com/doc/heatwave/en/mys-hwaml-classification.html
To generate your own datasets to create machine learning models in MySQL HeatWave, learn how to Generate Text-Based Content. Classification models predict the discrete value of input data to specific predefined categories. Some examples of ...
https://dev.mysql.com/doc/heatwave/en/mys-hwaml-explanations-ml-explain-row.html
mysql> SELECT sys.ML_EXPLAIN_ROW(input_data, model_handle, [options]); In the following example, include the session variable previously created. ML_EXPLAIN_ROW explains predictions for one or more rows of unlabeled data. The following example ...
https://dev.mysql.com/doc/heatwave/en/mys-hwaml-explanations-ml-explain-table.html
The input table does not have the columns that are created for the output table when generating predictions. ML_EXPLAIN_TABLE explains predictions for an entire table of unlabeled data. Depending on your MySQL version, we recommend the following: ...
https://dev.mysql.com/doc/heatwave/en/mys-hwaml-forecasting-model-types.html
This topic describes the types of forecasting models supported by AutoML. Univariate Models In a univariate model, you define one numeric column as an endogenous variable, specified as a JSON_ARRAY. For example, you forecast the rainfall for the ...