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https://dev.mysql.com/doc/x-devapi-userguide/en/working-with-metadata.html
Results contain metadata related to the origin and types of results from relational queries. This metadata can be used by applications that need to deal with dynamic query results or format results for transformation or display. An array of columns ...
https://dev.mysql.com/doc/x-devapi-userguide-shell-js/en/collection-indexing.html
To make large collections of documents more efficient to navigate you can create an index based on one or more fields found in the documents in the collection. Creating an Index Collection indexes are ordinary MySQL indexes on virtual columns that ...
https://dev.mysql.com/doc/x-devapi-userguide-shell-js/en/working-with-metadata.html
Results contain metadata related to the origin and types of results from relational queries. This metadata can be used by applications that need to deal with dynamic query results or format results for transformation or display. An array of columns ...
https://dev.mysql.com/doc/x-devapi-userguide-shell-python/en/collection-indexing.html
To make large collections of documents more efficient to navigate you can create an index based on one or more fields found in the documents in the collection. Creating an Index Collection indexes are ordinary MySQL indexes on virtual columns that ...
https://dev.mysql.com/doc/x-devapi-userguide-shell-python/en/working-with-metadata.html
Results contain metadata related to the origin and types of results from relational queries. This metadata can be used by applications that need to deal with dynamic query results or format results for transformation or display. An array of columns ...
https://dev.mysql.com/doc/heatwave/en/mys-hw-advisor-data-placement.html
Data placement keys are used to partition table data among MySQL HeatWave nodes when loading tables. Partitioning table data by JOIN and GROUP BY key columns can improve query performance by avoiding costs associated with redistributing data among ...
https://dev.mysql.com/doc/heatwave/en/mys-hw-bulk-load-mysql-server.html
MySQL includes a bulk load extension to the LOAD DATA statement that is only available in MySQL HeatWave on AWS. It can do the following: Optimize the loading of data sorted by primary key. Monitor bulk load progress with the Performance Schema (As ...
https://dev.mysql.com/doc/heatwave/en/mys-hw-lakehouse-auto-parallel-load-overview.html
Lakehouse Auto Parallel Load, which extends the Auto Parallel Load feature of MySQL HeatWave, facilitates the process of loading data from Object Storage into MySQL HeatWave by automating many of the steps involved, including: Excluding schemas, ...
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. Numeric data types: BIGINT BOOL DECIMAL DOUBLE FLOAT INT INTEGER MEDIUMINT SMALLINT TINYINT Temporal data types: DATE DATETIME TIME TIMESTAMP ...
https://dev.mysql.com/doc/heatwave-aws/en/ha-prerequisites.html
Prerequisites 12.2 Prerequisites Here are some prerequisites for creating a high availability DB System. A high availability DB System requires a high availability compatible configuration. All default MySQL configurations that are compatible with ...