Search Results
https://dev.mysql.com/doc/heatwave/en/mys-hw-about-heatwave.html
MySQL HeatWave is a fully-managed cloud service that enables organizations to efficiently run analytics, transactional processing, machine learning, generative AI, and vector processing using a single service without the need for extract, transfer, ...
https://dev.mysql.com/doc/heatwave/en/mys-hw-auto-parallel-load.html
You can load data into a MySQL HeatWave Cluster by using the Auto Parallel Load feature. Auto Parallel Load, which can be run manually from any MySQL client or connector, is implemented as a stored procedure named heatwave_load, which resides in ...
https://dev.mysql.com/doc/heatwave/en/mys-hw-genai-generate-content.html
The following sections in this topic describe how to generate new text-based content using MySQL HeatWave GenAI: Before You Begin Generate Content Run Batch Queries What's Next Before You Begin Review the MySQL HeatWave GenAI requirements and ...
https://dev.mysql.com/doc/heatwave/en/mys-hw-genai-vector-store-overview.html
This section describes the Vector Store functionality available in MySQL HeatWave. About Vector Store MySQL HeatWave vector store is a relational database that lets you load unstructured data to MySQL HeatWave Lakehouse. It automatically parses ...
https://dev.mysql.com/doc/heatwave/en/mys-hw-lakehouse-export-query-results-json-non-json.html
The option to export query results as an ND-JSON file is available as of MySQL 9.3.1. This topic contains the following sections: Before You Begin Syntax Parameter Descriptions Examples What's Next Before You Begin Review the following: Overview of ...
https://dev.mysql.com/doc/heatwave/en/mys-hw-lakehouse-export-query-results-Parquet-non-json.html
This topic shows the different ways to export query results as a Parquet file with SQL syntax. Before You Begin Review the following: Overview of Exporting Query Results Requirements to Export Query Results Syntax Use the following SQL SELECT INTO ...
https://dev.mysql.com/doc/heatwave/en/mys-hwaml-explanations-ml-explain-row.html
ML_EXPLAIN_ROW explains predictions for one or more rows of unlabeled data. The following example trains a dataset with the classification machine learning task. mysql> CALL sys.ML_TRAIN('census_data.census_train', 'revenue', JSON_OBJECT('task', ...
https://dev.mysql.com/doc/heatwave/en/mys-hwaml-predictions-ml-predict-row.html
ML_PREDICT_ROW generates predictions for one or more rows of data specified in JSON format. The following example trains a dataset with the classification machine learning task. mysql> CALL sys.ML_TRAIN('census_data.census_train', 'revenue', ...
https://dev.mysql.com/doc/heatwave/en/mys-hwaml-predictions-ml-predict-table.html
ML_PREDICT_TABLE generates predictions for an entire table of trained data. Depending on your MySQL version, we recommend the following: Before MySQL 9.4.1, limit operations to batches of rows by splitting large tables into smaller tables by using ...
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 ...