What is mob in HBase?

The Apache HBase Medium Object Storage (MOB) feature was introduced by HBASE-11339. This feature improves low latency read and write access for moderately-sized values (ideally from 100K to 10MB based on our testing results), making it well-suited for storing documents, images, and other moderately-sized objects [1].

Which type of data HBase can store?

There are no data types in HBase; data is stored as byte arrays in the cells of HBase table. The content or the value in cell is versioned by the timestamp when the value is stored in the cell. So each cell of an HBase table may contain multiple versions of data.

What is HBase in big data?

HBase is a column-oriented non-relational database management system that runs on top of Hadoop Distributed File System (HDFS). HBase provides a fault-tolerant way of storing sparse data sets, which are common in many big data use cases. An HBase system is designed to scale linearly.

Where does HBase store its data?

By default Hbase stores the data in HDFS. It is possible to run HBase over other distributed file systems like Amazon s3, GFS etc. We can’t edit hdfs, but we can append data to HDFS.

Can HBase store unstructured data?

In a nutshell, HBase can store or process Hadoop data with near real-time read/write needs. This includes both structured and unstructured data, though HBase shines at the latter.

Can I store files in HBase?

When something is written to HBase, it is first written to an in-memory store (memstore), once this memstore reaches a certain size, it is flushed to disk into a store file (everything is also written immediately to a log file for durability). The store files (or HFiles) created on disk are immutable.

How HBase is horizontally scalable?

The basic unit of horizontal scalability in HBase is called a Region. Regions are a subset of the table’s data and they are essentially a contiguous, sorted range of rows that are stored together. Initially, there is only one region for a table. In HBase the slaves are called Region Servers.

How does HBase store data internally?

HBase Architecture Just like in a Relational Database, data in HBase is stored in Tables and these Tables are stored in Regions. When a Table becomes too big, the Table is partitioned into multiple Regions. These Regions are assigned to Region Servers across the cluster.

Is HBase a key-value store?

Specifically, HBase is both a column family oriented data store and a key-value-pair data store.

Is HBase faster than Hive?

Hive HBase Comparison: Latency Whereas, Hbase is mostly used for fetching or writing data which is relatively faster than Hive. Hive is a SQL-like query engine that runs MapReduce jobs on Hadoop. HBase is a NoSQL key/value database on Hadoop.