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https://dev.mysql.com/doc/heatwave/en/mys-hw-metadata-queries-load-progress.html
The time required to load a table into MySQL HeatWave depends on data size. You can monitor load progress by issuing the following query, which returns a percentage value indicating load progress. mysql> SELECT VARIABLE_VALUE FROM ...
https://dev.mysql.com/doc/heatwave/en/mys-hw-metadata-queries-query-offload.html
The sys.processlist and sys.x$processlist views in the MySQL sys Schema also include an execution_engine column.
https://dev.mysql.com/doc/heatwave/en/mys-hw-varlen-encoding.html
Variable-length encoding is automatically applied when tables are loaded into MySQL HeatWave with the exception of string columns defined explicitly as dictionary-encoded columns. You can define the encoding type while creating the table or later ...Variable-length (VARLEN) encoding has the following characteristics: Supports all character sets and collation types supported by the DB System, and expressions with non-boolean ...
https://dev.mysql.com/doc/heatwave/en/mys-hwaml-classification-overview.html
mysql> CREATE DATABASE classification_data; mysql> USE classification_data; Create the table to insert the sample data into. This topic describes how to prepare the data to use for a classification machine learning model. The classification ...
https://dev.mysql.com/doc/heatwave/en/mys-hwaml-predictions-ml-predict-row.html
The column names must match the feature column names in the trained table. Generate Predictions on One or More Rows of Data Another way to generate predictions is to create a JSON_OBJECT with specified columns and labels, and then generate ...
https://dev.mysql.com/doc/heatwave/en/mys-hwaml-prepare-data-overview.html
Labeled Data Example A table of data for bank customers can be a labeled dataset. The feature columns in the table have data related to job, marital status, education, and city of residence. You can use some of the data in this table to train a ...
https://dev.mysql.com/doc/heatwave/en/mys-hwaml-preparing-a-recommendation-model.html
mysql> CREATE DATABASE recommendation_data; mysql> USE recommendation_data; Create the table to insert the sample data into. mysql> CREATE TABLE training_dataset ( user_id VARCHAR(3), item_id VARCHAR(3), rating DECIMAL(3, 1), PRIMARY KEY (user_id, ... This topic describes how to prepare the data to use for a recommendation machine learning model using explicit ...
https://dev.mysql.com/doc/heatwave/en/mys-hwaml-progress-tracking.html
mysql> CALL sys.ML_TRAIN('census_data.census_train', 'revenue', JSON_OBJECT('task', 'classification'), @census_model); While ML_TRAIN runs, use the second MySQL Client session and query the performance_schema.rpd_query_stats table, which stores data ... You can monitor the progress of MySQL HeatWave AutoML routines through Performance Schema queries made from a second MySQL Client ...
https://dev.mysql.com/doc/heatwave/en/mys-hwaml-regression-prepare.html
mysql> CREATE DATABASE regression_data; mysql> USE regression_data; Create the table to insert the sample data into. mysql> CREATE TABLE house_price_training ( id INT PRIMARY KEY, house_size INT, address TEXT, state TEXT, price INT ); Insert the ...
https://dev.mysql.com/doc/relnotes/heatwave/en/news-9-2-0.html
This feature allows for the creation of secondary indexes during the bulk load process, reducing the need for additional ALTER TABLE statements. (WL #16266, WL #15986) MySQL HeatWave now supports JSON tables, enabling you to extract data from JSON ... Note These release notes were created with the assistance of MySQL HeatWave ...