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https://dev.mysql.com/doc/mysql-enterprise-backup/8.4/en/meb-backup-single-file.html
To avoid having a large number of backup files to keep track, store, and transport, mysqlbackup conveniently creates backups in a single-file format. It can also pack an existing backup directory into a single file, unpack the single file back to a ...
https://dev.mysql.com/doc/internals/en/floating-point-types.html
The MySQL Reference Manual has a discussion of floating-point numbers in Section 11.2 Numeric Types, including details about the storage. Let us now take up the story from where the MySQL Reference Manual leaves off. The following discussion ...
https://dev.mysql.com/doc/ndbapi/en/overview-ndbinterpretedcode-using.html
The next few sections provide information about performing different types of operations with NdbInterpretedCode methods, including resource usage. The space required by each of these methods is shown in the following table: Table 1.1 ...
https://dev.mysql.com/doc/heatwave/en/heatwave-errors.html
The following list contains all current MySQL HeatWave errors in numerical order. The entry for each error contains the error number, name (symbol), description, and suggested workaround for the condition that gave rise to the error. Error number: ...
https://dev.mysql.com/doc/heatwave/en/mys-hw-lakehouse-export-query-results-csv-non-json.html
This topic shows the different ways to export query results as a CSV file with SQL syntax. INTO OUTFILE {URL | URI} 'uri' [FORMAT csv] [CHARACTER SET 'charset_name'] [HEADER {ON | OFF}] [{FIELDS | COLUMNS} [NULL AS 'null_char'] [TERMINATED BY ...
https://dev.mysql.com/doc/heatwave/en/mys-hwaml-prepare-an-anomaly-detection-model.html
This topic describes how to prepare the data to use for two anomaly detection machine learning models: a semi-supervised anomaly detection model, and an unsupervised anomaly detection model for logs. To prepare the data for this use case, you set ...
https://dev.mysql.com/doc/heatwave/en/mys-hwgenai-vector-store-load.html
The VECTOR_STORE_LOAD routine generates vector embedding for the specified files or folders that are stored in the bucket, and loads the embeddings into a new vector store table. This routine creates an asynchronous task which loads vector store ...
https://dev.mysql.com/doc/heatwave-aws/en/heatwave-aws-creating-lakehouse-data-mapping.html
Creating Lakehouse Mapping 9.2 Creating Lakehouse Mapping For MySQL HeatWave Lakehouse to process data in Amazon S3, it needs to first map the data in files on S3 to a MySQL HeatWave Lakehouse table. Once the S3 data is provided, the schema for the ...
https://dev.mysql.com/doc/mysql-ai/9.5/en/mys-ai-aml-prepare-an-anomaly-detection-model.html
This topic describes how to prepare the data to use for two anomaly detection machine learning models: a semi-supervised anomaly detection model, and an unsupervised anomaly detection model for logs. To prepare the data for this use case, you set ...
https://dev.mysql.com/doc/heatwave/en/mys-hw-genai-summarize-docs.html
As of MySQL 9.4.1, MySQL HeatWave GenAI lets you generate text summaries for unstructured files available in Object Storage. You need to first ingest these documents into vector store tables using Auto Parallel Load. The generated table contains ...