How does HBase manage the distributed storage and load balancing of data?

In HBase, the distributed storage and load balancing of data is managed by the HMaster and RegionServer within HBase.

In an HBase cluster, there is one HMaster node responsible for managing the metadata of the entire cluster, including table metadata information and the distribution of RegionServers. RegionServers are in charge of storing data and handling read and write requests.

When data is written to HBase from a client, it is partitioned based on the RowKey and then distributed to different RegionServer nodes. Each RegionServer is responsible for storing and processing data specific to its partition. This ensures data is evenly distributed across the cluster, enabling distributed storage of data.

Meanwhile, HBase will monitor the load situation of each RegionServer node. When a certain RegionServer node is overloaded, HBase will redistribute some of the data on that node to other nodes to achieve load balancing. This ensures that the data load in the cluster is evenly distributed among various RegionServer nodes, guaranteeing the performance and stability of the cluster.

In conclusion, HBase achieves distributed storage and load balancing through the collaboration of HMaster and RegionServer nodes, ensuring high availability and performance of the data.