How to handle data high availability in HBase?

To ensure high availability of data, HBase, a distributed, column-oriented database system, employs various methods.

1. Data Replication: HBase stores multiple copies of data on different nodes, so if one copy is lost, the data can still be retrieved from other copies to ensure data availability.
2. Master/Slave Architecture: HBase utilizes a Master/Slave architecture where the Master is responsible for managing metadata and coordinating the various RegionServers, while the Slave handles the actual data read and write operations. The Master can quickly detect and address faults to ensure the system runs smoothly.
3. ZooKeeper coordination: HBase utilizes ZooKeeper for coordinating and managing nodes in the cluster, monitoring node status, and handling failures. ZooKeeper ensures consistency and availability of nodes in the cluster, ensuring high system availability.
4. Automatic failover: HBase has the capability to automatically failover in the event of a RegionServer failure, where the Master will automatically transfer its workload to other healthy nodes, ensuring normal data read and write operations.

In general, HBase ensures data availability through methods such as data replication, Master/Slave architecture, ZooKeeper coordination, and automatic failover, ensuring that data remains accessible even in the event of system failures.