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https://dev.mysql.com/doc/heatwave-aws/en/heatwave-aws-workspace-managing-hw-data.html
Data is loaded into MySQL HeatWave from the associated DB System. If you have not loaded data into the DB System, see Importing Data. Creating Lakehouse Data Mapping: MySQL HeatWave Lakehouse enables query processing on the data residing in an ...
https://dev.mysql.com/doc/heatwave/en/mys-hw-lakehouse-loading-data-manually.html
After creating an external table manaully and specifying the files to load into the table, you specify the SECONDARY_UNLOAD clause in an ALTER TABLE statement to load the data from the files into the table. Loading Tables Statement To load an ...
https://dev.mysql.com/doc/refman/8.4/en/mysql-cluster-limitations-disk-data.html
Disk data objects are subject to the following maximums and minimums: Maximum number of tablespaces: 232 (4294967296) Maximum number of data files per tablespace: 216 (65536) The minimum and maximum possible sizes of extents for tablespace data ...
https://dev.mysql.com/doc/refman/8.4/en/data-dictionary-usage-differences.html
Use of a data dictionary-enabled MySQL server entails some operational differences compared to a server that does not have a data dictionary: Previously, enabling the innodb_read_only system variable prevented creating and dropping tables only for ...As of MySQL 8.4, enabling innodb_read_only prevents these operations for all storage ...As of ...
https://dev.mysql.com/doc/x-devapi-userguide/en/working-with-data-sets.html
Operations that fetch data items return a cursor that can be used to consume those data items from the result set. Data items can be read from the database using Collection.find(), Table.select() and Session.sql(). All result sets implement a ...
https://dev.mysql.com/doc/x-devapi-userguide-shell-js/en/working-with-data-sets.html
Operations that fetch data items return a cursor that can be used to consume those data items from the result set. Data items can be read from the database using Collection.find(), Table.select() and Session.sql(). All result sets implement a ...
https://dev.mysql.com/doc/x-devapi-userguide-shell-python/en/working-with-data-sets.html
Operations that fetch data items return a cursor that can be used to consume those data items from the result set. Data items can be read from the database using Collection.find(), Table.select() and Session.sql(). All result sets implement a ...
https://dev.mysql.com/doc/internals/en/event-data-field-notational-caveat.html
The fixed part of the event data goes under different names, depending on which source file, work log, bug report, etc. For example, ROTATE_HEADER_LEN is 8 because a ROTATE_EVENT has an 8-byte field in the fixed data part that indicates the ...you ...One manifestation of this notational phenomenon appears in log_event.h, where you will find the symbol LOG_EVENT_MINIMAL_HEADER_LEN defined as 19 (the header length for v3 and v4), plus other symbols with names of the form XXX_HEADER_LEN for different event ...
https://dev.mysql.com/doc/refman/8.4/en/data-masking-component-functions.html
Return value: The masked Canada SIN as a string encoded in the utf8mb4 character set, an error if the argument is not the correct length, or NULL if str is in incorrect format or contains a multibyte character. Return value: The masked International ...mask_canada_sin(str [, mask_char]) Masks a Canada Social Insurance Number (SIN) and returns the number with all meaningful digits replaced by 'X' ...
https://dev.mysql.com/doc/x-devapi-userguide/en/fetching-all-data-items-at-once.html
In addition to the pattern of using fetchOne() explained at Section 9.3, “Working with Data Sets”, which enables applications to consume data items one by one, X DevAPI also provides a pattern using fetchAll(), which passes all data items of a ...The following example assumes that the test schema exists and that the employee table exists in ...