Partitioning in MariaDB is a database design technique in which a database splits data into smaller, more manageable pieces, called partitions. Each partition can be spread across multiple physical locations if needed.
Partitions can be based on a range of values, a list of values, a hash function, or a combination of these. For example, a table that stores sales data for a multinational company might be partitioned by country, so that all sales data for the United States is stored in one partition, all sales data for Germany in another, etc.
The partitioning model in MariaDB improves performance and simplifies data management. It improves performance by distributing the data and load across multiple disks or servers. It simplifies management by allowing operations on subsets of the data, such as backup and archiving, to be performed more quickly and with less impact on the rest of the system.
Partitioning can be done at the table level or the database level. Table-level partitioning is more common because it provides a finer level of control over how the data is distributed.
