PostgreSQL Cluster High Availability Configuration
Background
In distributed databases, high availability refers to the ability of a system to continue providing services and guarantee data consistency in case of failures or faults. PostgreSQL provides several mechanisms to implement high availability for clusters.
High Availability Configuration Options
PostgreSQL supports the following types of high availability configurations:
1. Sharding
Sharding involves splitting tables into multiple sub-tables, where each sub-table contains a portion of the same structure and data. Each sub-table can run on different servers to achieve horizontal scaling.
2. master-master Replication
master-master Replication is a replication mode that allows multiple primary servers to replicate with each other, thereby ensuring data consistency.
3. Sharding and Rebuilding
Sharding and Rebuilding involves splitting tables into several sub-tables, where each sub-table contains part of the same structure and data, followed by creating an independent PostgreSQL component on each sub-table. Multiple servers can be used to achieve horizontal scaling.
4. Master-Slave Replication
Master-Slave Replication is a replication mode that allows one primary server to replicate to one or more slave servers, thereby ensuring data consistency.
Implementation Methods for High Availability Configuration
PostgreSQL provides the following methods to implement high availability configurations:
1. Automatic Failover
Automatic failover refers to the automatic transfer of services from a failed primary server to another primary server by the system itself.
2. Manual Failover
Manual failover refers to manually transferring services from one primary server to another.
Benefits of High Availability Configuration
High availability configurations provide the following benefits:
- Improve system availability
- Enhance system reliability
- Boost system performance
- Increase system scalability