How Does HBase Store Massive Tables? Inside Its Architecture
HBase stores huge tables by splitting them into regions, distributing these across region servers managed by a master, and further dividing each region into column-family stores, memstores, and StoreFiles, forming a layered architecture built on Hadoop’s distributed storage.
HBase stores massive tables by splitting them into HRegion blocks.
Each HRegion is distributed across multiple servers called HRegionServer , and a central HMaster manages region allocation and load balancing.
When a region reaches a size threshold, the HMaster splits it and assigns the new region to an appropriate HRegionServer .
Inside a HRegion , data is further divided by column families into Store units; each Store consists of a memory component ( MemStore ) and one or more StoreFile files stored in HFile format.
When the MemStore reaches its memory limit, its contents are flushed to a StoreFile .
The physical storage of HBase relies on Hadoop’s distributed file system, forming the overall architecture illustrated by the diagram below.
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