Hadoop 3.1

Hadoop 3.1 is a version of Apache Hadoop, a well-known open-source framework used for the distributed storage and processing of large data sets using the MapReduce programming model. Hadoop 3.1 brings several new features, improvements, and bug fixes over the previous versions.

Here’s a summary of some of the crucial changes and features introduced in Hadoop 3.1:

1. Erasure Coding: This substantially improves storage efficiency without sacrificing fault tolerance.
2. YARN Timeline Service v.2: It’s an improved version of the timeline service, providing better scalability and reliability.
3. Improved GPU Support: Hadoop 3.1 offers improved GPU support, allowing for more complex computations and support for deep learning algorithms.
4. Intra-DataNode Balancer: This feature balances the disk usage on a per-DataNode basis, helping to manage the cluster more effectively.
5. New Federation Router facilitates federated queries across different namespaces and enables more flexible cluster administration.
6. Shaded Client Jars: This aims to reduce dependency conflicts for downstream projects.
7. Various Bug Fixes and Performance Improvements: Hadoop 3.1 includes many more minor changes and improvements, enhancing stability and performance.

If you plan to upgrade to Hadoop 3.1, make sure to review the official release notes and documentation, as there may be compatibility issues and specific considerations depending on your current setup.