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https://dev.mysql.com/doc/refman/8.4/en/partitioning-hash.html
Partitioning by HASH is used primarily to ensure an even distribution of data among a predetermined number of partitions. To partition a table using HASH partitioning, it is necessary to append to the CREATE TABLE statement a PARTITION BY HASH ...
https://dev.mysql.com/doc/refman/8.4/en/partitioning-list.html
List partitioning in MySQL is similar to range partitioning in many ways. As in partitioning by RANGE, each partition must be explicitly defined. The chief difference between the two types of partitioning is that, in list partitioning, each ...
https://dev.mysql.com/doc/refman/8.4/en/partitioning-management-hash-key.html
Tables which are partitioned by hash or by key are very similar to one another with regard to making changes in a partitioning setup, and both differ in a number of ways from tables which have been partitioned by range or list. For that reason, ...
https://dev.mysql.com/doc/refman/8.4/en/prepare.html
PREPARE stmt_name FROM preparable_stmt The PREPARE statement prepares a SQL statement and assigns it a name, stmt_name, by which to refer to the statement later. The prepared statement is executed with EXECUTE and released with DEALLOCATE PREPARE.
https://dev.mysql.com/doc/refman/8.4/en/replication-features-differing-tables.html
Source and target tables for replication do not have to be identical. A table on the source can have more or fewer columns than the replica's copy of the table. In addition, corresponding table columns on the source and the replica can use ...
https://dev.mysql.com/doc/refman/8.4/en/tracing-example.html
Now we can examine the trace, whose first column (QUERY), containing the original statement to be traced, is shown here: SELECT * FROM INFORMATION_SCHEMA.OPTIMIZER_TRACE\G *************************** 1. row *************************** QUERY: SELECT ...
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/mysql-ai/9.5/en/mys-ai-aml-preparing-a-recommendation-model.html
This topic describes how to prepare the data to use for a recommendation machine learning model using explicit feedback. To prepare the data for this use case, you set up a training dataset and a testing dataset. The training dataset has 86 ...
https://dev.mysql.com/doc/refman/8.4/en/mysql-cluster-programs-ndb-size-pl.html
This is a Perl script that can be used to estimate the amount of space that would be required by a MySQL database if it were converted to use the NDBCLUSTER storage engine. Unlike the other utilities discussed in this section, it does not require ...
https://dev.mysql.com/doc/refman/8.4/en/mysql-command-options.html
mysql supports the following options, which can be specified on the command line or in the [mysql] and [client] groups of an option file. For information about option files used by MySQL programs, see Section 6.2.2.2, “Using Option Files”.