#HOW TO SEE PARTITIONS HOW TO#

The following basic command list all existing disk partition on your system. The INFORMATION_SCHEMA.PARTITIONS table contains information about existing partitions.Caution вЂ“ DonвЂ™t Create, Delete or Modify Partitions.

Perform administrative operations on some or all partitions (analyze, optimize, check, repair).

Add/remove partitions, or reorganize them, as long as the partitioning function allows these operations (see below).

Remove partitions from a partitioned table ( with all data in the partition).

#HOW TO SEE PARTITIONS HOW TO#

How to use partitioningД«y default, MariaDB permits partitioning. See Partioning Types for a detailed description.

The partitioning expression is used for all reads and writes on involving the partitioned table, thus it should be fast. A partitioning function is an SQL expression returning an integer or temporal value, used to determine which row will contain a given row. With some partitioning types, a partitioning expression is also required.

Choosing the proper partitioning type is important to distribute rows over partitions in an efficient way. When partitioning a table, the use should decide:ДЄ partitioning type is the method used by MariaDB to decide how rows are distributed over existing partitions. See also: Using CONNECT - Partitioning and Sharding Partitioning types Build an indexable, writeable table on several data files.Build a table whose partitions are tables using different storage engines (like InnoDB, MyISAM, or even engines that do not support partitioning).In this case there will be a small overhead (SPIDER will use connections to localhost), but queries that read multiple partitions will use parallel threads.

All partitions of a SPIDER table can also live on the same machine.

In this way, the workload can be distributed on more physical or virtual machines ( data sharding).

Move partitions of the same table on different servers.Some MariaDB storage engines allow more interesting uses for partitioning. Partitioning for specific storage engines In case we separate historical data from recent data, we will probably need to take regular backups of one partition, not the whole table.For example, we can have historical data on slower, larger disks (historical data are not supposed to be frequently read) and current data can be on faster disks, or SSD devices. Partitioning allows one to distribute files over multiple storage devices.But if the target table is partitioned, queries that read a small number of partitions can be much faster. Very big tables and indexes can be slow even with optimized queries.There can be several reasons to use this feature: In MariaDB, a table can be split in smaller subsets. Partitioning for specific storage engines.

How to see partitions