What is HBase explain its architecture?

HBase is a column-oriented data storage architecture that is formed on top of HDFS to overcome its limitations. It leverages the basic features of HDFS and builds upon it to provide scalability by handling a large volume of the read and write requests in real-time.

What is an HBase table?

An HBase table is a multi-dimensional map comprised of one or more columns and rows of data. You specify the complete set of column families when you create an HBase table. An HBase cell is comprised of a row (column family, column qualifier, column value) and a timestamp.

How is data stored in HBase table?

An HBase table consists of rows and column families. Each column family can contain any number of columns. Rows are sorted by row keys. There are no data types in HBase; data is stored as byte arrays in the cells of HBase table.

How HBase write works?

HBase Write Path The data to be written is forwarded to MemStore which is actually the RAM of the data node, as soon as the log entry is done. All the data is written in MemStore which is faster than RDBMS (Relational databases). Afterward, all the data is dumped in HFile, however, the actual data is stored in HDFS.

What is the purpose of HBase?

HBase is most effectively used to store non-relational data, accessed via the HBase API. Apache Phoenix is commonly used as a SQL layer on top of HBase allowing you to use familiar SQL syntax to insert, delete, and query data stored in HBase.

Where is HBase table data stored?

All HRegion metadata of HBase is stored in the . META. table.

How does HBase distribute data?

HBase stores rows of data in tables. Tables are split into chunks of rows called “regions”. Those regions are distributed across the cluster, hosted and made available to client processes by the RegionServer process.

What are the features of HBase?

What are the Features of HBase?

• i. Consistency. We can use this HBase feature for high-speed requirements because it offers consistent reads and writes.
• ii. Atomic Read and Write.
• iii. Sharding.
• iv. High Availability.
• v. Client API.
• vi. Scalability.
• vii. Hadoop/HDFS integration.
• viii. Distributed storage.

Why should we use HBase?

Quick access to data: If you need a random and real time access to your data, then HBase is a suitable candidate. It is also a perfect fit for storing large tables with multi structured data. It gives ‘flashback’ support to queries, which makes it more suitable for fetching data in a particular instance of time.

How does HBase read data?

Follow the steps given below to retrieve data from the HBase table.

1. Step 1: Instantiate the Configuration Class.
2. Step 2: Instantiate the HTable Class.
3. Step 3: Instantiate the Get Class.
4. Step 4: Read the Data.
5. Step 5: Get the Result.
6. Step 6: Reading Values from the Result Instance.

What are the software components of HBase?

HBase has three major components i.e., HMaster Server, HBase Region Server, Regions and Zookeeper.

Why do we use HBase?

HBase provides a fault-tolerant way of storing sparse data sets, which are common in many big data use cases. It is well suited for real-time data processing or random read/write access to large volumes of data.

What are the advantages of HBase?

Advantages of HBase

• Random and consistent Reads/Writes access in high volume request.
• Auto failover and reliability.
• Flexible, column-based multidimensional map structure.
• Variable Schema: columns can be added and removed dynamically.
• Integration with Java client, Thrift and REST APIs.
• MapReduce and Hive/Pig integration.

What are main features of HBase?

Features of HBase

• HBase is linearly scalable.
• It has automatic failure support.
• It provides consistent read and writes.
• It integrates with Hadoop, both as a source and a destination.
• It has easy java API for client.
• It provides data replication across clusters.

The HBase table supports the high read and write throughput at low latency. A single value in each row is indexed; this value is known as the row key.

How to design schema in HBase?

The HBase schema design is very different compared to the relation database schema design. Below are some of general concept that should be followed while designing schema in Hbase: Row key: Each table in HBase table is indexed on row key. Data is sorted lexicographically by this row key.

What are the features of HBase and hmaster?

HMaster has many features like controlling load balancing, failover etc. HBase Tables are divided horizontally by row key range into Regions. Regions are the basic building elements of HBase cluster that consists of the distribution of tables and are comprised of Column families.

How to design HBase for read and write operations?

All operations on HBase rows are atomic at row level. Even distribution: Read and write should uniformly distributed across all nodes available in cluster. Design row key in such a way that, related entities should be stored in adjacent rows to increase read efficacy.