Description: Logical replication allows selective data replication between databases, enabling more flexible data distribution. Unlike physical replication, which copies entire data blocks, logical replication focuses on replicating changes at the row or table level. This means users can choose which data to replicate, resulting in greater efficiency and control over the replication process. This feature is particularly useful in environments requiring real-time data synchronization or where different versions of data need to be maintained across multiple locations. Logical replication also facilitates data migration between different database systems, allowing organizations to integrate and consolidate information from various sources. Additionally, it is a valuable tool for creating development and testing environments, where specific data can be replicated without duplicating the entire database. In summary, logical replication provides a flexible and efficient solution for data management and distribution, adapting to the changing needs of modern organizations.
History: Logical replication was introduced in PostgreSQL version 10, released in October 2017. This advancement allowed users to replicate data in a more granular and flexible manner compared to physical replication, which had been the only option available until that time. The implementation of logical replication was a significant step in the evolution of database systems, aligning with the needs of modern businesses that require more adaptable solutions for data management.
Uses: Logical replication is primarily used for real-time data synchronization between databases, allowing different systems to maintain updated information. It is also useful in data migration scenarios, where information needs to be transferred from one system to another without disrupting service. Additionally, it is employed in the creation of development and testing environments, where specific data sets can be replicated for testing purposes without affecting the main database.
Examples: An example of logical replication is replicating a customer table from a production database to an analytics database, where only changes to customer records are replicated. Another case is data replication between different geographical regions to enhance availability and performance of applications relying on that data.
