In HBase, tables are split into regions and are served by the region servers. Regions are vertically divided by column families into “Stores”. Stores are saved as files in HDFS. Shown below is the architecture of HBase.

Note: The term ‘store’ is employed for regions to explain the storage structure.

HBase has three major components: the client library, a master server, and region servers. Region servers can be added or removed as per requirement.

MasterServer

The master server –

Assigns regions to the region servers and takes the assistance of Apache ZooKeeper for this task.
Handles load balancing of the regions across region servers. It unloads the busy servers and shifts the regions to less occupied servers.
Maintains the state of the cluster by negotiating the load balancing.
Is liable for schema changes and other metadata operations such as creation of tables and column families.

Regions

Regions are nothing but tables that are split up and spread across the region servers.

Region server

The region servers have regions that –

Communicate with the client and handle data-related operations.
Handle read and write requests for all the regions under it.
Decide the dimensions of the region by following the region size thresholds.

When we take a deeper check out the region server, it contain regions and stores as shown below:

The store contains memory store and HFiles. Memstore is just like a cache memory. Anything that’s entered into the HBase is stored here initially. Later, the data is transferred and saved in Hfiles as blocks and therefore the memstore is flushed.

Zookeeper

Zookeeper is an open-source project that gives services like maintaining configuration information, naming, providing distributed synchronization, etc.
Zookeeper has ephemeral nodes representing different region servers. Master servers use these nodes to get available servers.
In addition to availability, the nodes are also employed to track server failures or network partitions.
Clients communicate with region servers via zookeeper.
In pseudo and standalone modes, HBase itself will take care of zookeeper.

So, this brings us to the end of blog. This Tecklearn ‘Deep dive into HBase architecture’ helps you with commonly asked questions if you are looking out for a job in HBase and No-SQL Database Domain.

If you wish to learn HBase and build a career in HBase or No-SQL Database domain, then check out our interactive, Apache HBase Training, that comes with 24*7 support to guide you throughout your learning period. Please find the link for course details:

https://www.tecklearn.com/course/apache-hbase-training/

Apache HBase Training

About the Course

Tecklearn Apache HBase training will master the powerful NoSQL distributed database. You will learn HBase architecture, data analytics using HBase, integration with Hive, monitoring cluster using ZooKeeper and working on real-life industry projects. Build your career as a certified HBase professional through our hands-on training with real-world examples. Upon completion of this online training, you will hold a solid understanding and hands-on experience with Apache HBase.

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What you will Learn in this Course?

Introduction to HBase and NoSQL

Introduction to HBase
Fundamentals of HBase
What is NoSQL
NoSQL Vs RDBMS
Why HBase
Where to use HBase

HBase Data Modelling

Data Modelling
HDFS vs. HBase
HBase Use Cases

HBase Architecture and Components

HBase Architecture
Components of HBase Cluster

HBase Installation

Prerequisites for HBase Installation
Installation Steps

Programming in HBase

Create an Eclipse Project for HBase
Simple Table Creation from Java in HBase
HBase API
HBase Shell
Primary operations and advanced operations

Integration of Hive with HBase

Create a table and insert data into it
Integration of Hive with HBase
HBase Mapping

Deep Dive into HBase

Input Data into HBase
File Loading
HDFS File
HBase handling files in File System
WAL
Seek Vs Transfer
HBase ACID Properties

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