Hadoop 3

Hadoop 3 is a major release of the Apache Hadoop project, and it brought several significant improvements and enhancements over its predecessor, Hadoop 2.x. Here are some key features and changes introduced in Hadoop 3:

1. Erasure Coding: One of the most notable additions in Hadoop 3 is the support for Erasure Coding in HDFS. Erasure coding is an alternative to traditional replication for data durability. It helps reduce storage overhead while maintaining data fault tolerance.

2. Resource Types and Resource Configurations: Hadoop 3 introduced resource types and resource configurations, which allow for more fine-grained control over resources in YARN. It enables better isolation and management of resources for different applications running on the same cluster.

3. GPU Support: Hadoop 3 includes better support for Graphics Processing Units (GPUs). This allows for accelerated processing of certain workloads, such as deep learning and machine learning tasks.

4. Enhancements in YARN: YARN, the resource management component of Hadoop, received various improvements in Hadoop 3, including better support for Docker containers, better resource utilization, and overall resource allocation enhancements.

5. Performance Improvements: Hadoop 3 includes several performance enhancements, such as improvements in HDFS throughput, reduced memory consumption in YARN, and optimizations in the MapReduce framework.

6. Backward Compatibility: Hadoop 3 aims to maintain backward compatibility with applications developed for Hadoop 2.x, making it easier for organizations to upgrade to the new version.

7. Support for Java 8 and 9: While Hadoop 2.x primarily relied on Java 7, Hadoop 3 added support for Java 8 and Java 9, allowing users to take advantage of newer Java features and improvements.

8. Improved Scalability: Hadoop 3 is designed to be more scalable, supporting larger clusters and workloads. It also offers better support for multi-tenancy environments.

9. Security Enhancements: Security is a top priority in Hadoop 3, with improvements in authentication, authorization, and encryption mechanisms to protect data and cluster resources.

10. API and Protocol Compatibility: Hadoop 3 maintains API and protocol compatibility with Hadoop 2.x, ensuring a smoother transition for users and applications.