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https://dev.mysql.com/doc/heatwave/en/mys-hw-supported-data-types.html
Columns with unsupported data types must be excluded, and defined as NOT SECONDARY before loading a table. What's Next Learn how to perform the following tasks: Run queries Modify tables Retrieve MySQL HeatWave Metadata Optimize workloads for OLAP ...Numeric data types: BIGINT BOOL DECIMAL DOUBLE FLOAT INT INTEGER MEDIUMINT SMALLINT TINYINT Temporal data types: DATE DATETIME TIME TIMESTAMP YEAR Temporal types are only supported with strict SQL ...
https://dev.mysql.com/doc/heatwave/en/mys-hw-temporal-functions.html
Table 5.11 Temporal Functions Name Description ADDDATE() Add time values (intervals) to a date value ADDTIME() Add time CONVERT_TZ() Convert from one time zone to another. As of MySQL 8.4.0, MySQL HeatWave supports named time zones such as MET or ...
https://dev.mysql.com/doc/heatwave/en/mys-hw-vector-functions.html
It accepts the following arguments: A column of VECTOR data type.
https://dev.mysql.com/doc/heatwave/en/mys-hwaml-limitations.html
Memory Limitations The table used to train a model cannot exceed 10 GB, 100 million rows, or 1017 columns. Routine and Query Limitations ML_EXPLAIN_TABLE and ML_PREDICT_TABLE are compute intensive processes, with ML_EXPLAIN_TABLE being the most ...
https://dev.mysql.com/doc/heatwave/en/mys-hwaml-load-model.html
Query the model handle, model owner, and the trained table name from the model catalog table. You must load a machine learning model from the model catalog into MySQL HeatWave before running MySQL HeatWave AutoML routines other than ML_TRAIN. A ...
https://dev.mysql.com/doc/heatwave/en/mys-hwaml-predictions.html
Predictions are generated by running ML_PREDICT_ROW or ML_PREDICT_TABLE on trained models. The row or table of data must have the same feature columns as the data used to train the model. ML_PREDICT_TABLE generates predictions for an entire table ...If the target column exists in the data to run predictions on, it is not considered during prediction ...
https://dev.mysql.com/doc/heatwave/en/mys-hwaml-topic-modeling-prepare.html
mysql> CREATE DATABASE topic_modeling_data; mysql> USE topic_modeling_data; Create the table to use for both training and testing. mysql> CREATE TABLE movies ( description TEXT ); Insert the sample data into the table. This topic describes how to ...
https://dev.mysql.com/doc/relnotes/heatwave/en/news-8-0-28-u3.html
Functionality Added or Changed Tables that have become stale due to a change propagation failure resulting from an out-of-code error are now automatically reloaded. A check for stale tables is performed periodically when the MySQL HeatWave Cluster ...
https://dev.mysql.com/doc/relnotes/heatwave/en/news-8-4-0.html
When you set this parameter to true, a validation for primary key and unique key constraints occurs only during the initial load of a table. (WL #16098) MySQL HeatWave Auto Parallel Load and Auto Unload now support a table inclusion list, as well as ... MySQL HeatWave Lakehouse Functionality Added or Changed MySQL HeatWave Lakehouse MySQL HeatWave Lakehouse now supports primary key and unique key constraint validation with the check_constraints ...
https://dev.mysql.com/doc/heatwave-aws/en/database-vector-store.html
The vector store can now be used with the ML_RAG and ML_RAG_TABLE routines; see MySQL HeatWave GenAI Routines. MySQL HeatWave GenAI In-database Vector Store 14.3 MySQL HeatWave GenAI In-database Vector Store The automated, in-database vector store ...