What is the data storage structure like in HBase?

In HBase, data is stored in tables, which consist of multiple rows. Each row can have multiple column families, each containing multiple columns. Each row has a unique row key, which allows for quick accessing of the corresponding data. The data is stored in sorted order based on the row key, enabling fast lookup and scanning of the data.

In HBase, data is stored at the column family level, where different families can have different columns and columns can be dynamically added within a family. This storage design effectively supports sparse data and dynamic changes in data schemas.

In addition, HBase supports storing multiple versions of data, where each cell can hold several versions controlled by timestamps. This allows for retaining historical data and enables data version tracking and recovery.

In general, HBase’s data storage structure is based on tables, allowing for fast search and access of data through row keys. It supports dynamic storage of column families and columns, as well as storage and retrieval of multiple versions of data. This design enables HBase to effectively store and manage large-scale data.