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https://dev.mysql.com/doc/heatwave/en/mys-hw-lakehouse-export-query-results-Parquet-non-json.html
Before You Begin Review the following: Overview of Exporting Query Results Requirements to Export Query Results Syntax Use the following SQL SELECT INTO syntax to export query results to Parquet files. INTO OUTFILE {URL | URI} 'uri' [FORMAT parquet] ... This topic shows the different ways to export query results as a Parquet file with SQL ...
https://dev.mysql.com/doc/heatwave/en/mys-hwaml-explanations-ml-explain-row.html
The following example enters a row of data to explain into a session variable. mysql> SET @variable = (JSON_OBJECT("column_name", value, "column_name", value, ...), model_handle, options); In the following example, assign the data to analyze into ...
https://dev.mysql.com/doc/heatwave/en/mys-hwaml-predictions-ml-predict-row.html
Input Data to Generate a Row Prediction One way to generate predictions on row data is to manually enter the row data into a session variable, and then generate a prediction by specifying the session variable. mysql> SET @variable = ...
https://dev.mysql.com/doc/heatwave/en/mys-hwgenai-ml-generate.html
A higher value of p introduces more randomness into the output. For small images, you can directly copy the Base64 binary encoding into a variable. The ML_GENERATE routine uses the specified large language model (LLM) to generate text-based content ...
https://dev.mysql.com/doc/relnotes/heatwave/en/news-9-3-2.html
With this update, you can review the model metadata and enable the additional_details option with the ML_PREDICT_TABLE and ML_PREDICT_ROW routines to get valuable insights into data drift, enhancing the overall anomaly detection experience. (WL ...
https://dev.mysql.com/doc/relnotes/heatwave/en/news-9-4-1.html
This update introduces additional data preparation information to NL2ML's responses that enable you to join dataset tables, exclude unnecessary columns, and split your data into training and testing tables through the use of a new TRAIN_TEST_SPLIT ... These release notes were created with the assistance of MySQL HeatWave ...
https://dev.mysql.com/doc/heatwave-aws/en/heatwave-aws-importing-data-bulk-ingesting.html
It is recommended to split the data into multiple files to improve the performance of bulk ingest. The files are named, booking.tsv1, booking.tsv2, ..., booking.tsv25:LOAD DATA FROM S3 ... Importing Data Using the Bulk Ingest Feature 7.2.2.2 ...
https://dev.mysql.com/doc/heatwave-aws/en/heatwave-aws-importing-data-data-import.html
If your data is present in a MySQL instance running on-premises, in other cloud vendors as managed or unmanaged services, or another MySQL HeatWave on AWS instance, you have to export the data into an Amazon S3 bucket first. An established ...
https://dev.mysql.com/doc/heatwave-aws/en/heatwave-aws-refreshing-lakehouse-data.html
Refreshing Lakehouse Data 9.3 Refreshing Lakehouse Data The MySQL HeatWave Lakehouse tables contain a snapshot of your data in Amazon S3 at the time you loaded the data into your MySQL HeatWave Cluster. The privileges to load data into your MySQL ...If the data has been altered or removed subsequently on Amazon S3, or if you want to add similar data from Amazon S3 that maps to your Lakehouse tables, you can perform a Lakehouse Incremental Load when using MySQL 9.1.0 or ...
https://dev.mysql.com/doc/refman/8.4/en/apache.html
There are programs that let you authenticate your users from a MySQL database and also let you write your log files into a MySQL table.