Hadoop 3.2 0

Apache Hadoop 3.2.0 is a version of the Hadoop ecosystem, which includes various components for distributed storage and processing of large datasets. It’s an update to the Hadoop 3.x series and comes with several enhancements, bug fixes, and new features compared to the earlier 3.x releases. Some of the notable changes in Hadoop 3.2.0 include:

1. YARN Timeline Service v.2 (ATSv2):

   • Hadoop 3.2.0 introduces ATSv2 as a stable feature. It provides improved resource utilization tracking, better scalability, and enhanced support for long-running and large-scale applications.

2. S3A Improvements:

   • Enhancements to the S3A filesystem for better compatibility with Amazon S3 and improved performance when interacting with S3 as a storage backend.

3. HDFS Erasure Coding:

   • The Hadoop 3.2.0 release includes improvements and stability updates to the HDFS Erasure Coding feature, which allows for more efficient storage of data in HDFS.

4. Enhanced GPU Support:

   • Hadoop 3.2.0 includes better support for running GPU-accelerated tasks within the cluster, which can significantly boost certain types of workloads, such as machine learning.

5. Improved Container Management:

   • Enhancements in the container management layer to improve resource allocation, stability, and performance.

6. Enhanced Security:

   • Updates to security-related features, including support for OpenSSL 1.1.x, improvements in encryption, and bug fixes for various security issues.

7. MapReduce Improvements:

   • Enhancements and bug fixes in the MapReduce framework, which is still widely used for batch processing in Hadoop.

8. Kerberos and SPNEGO Enhancements:

   • Updates to Kerberos and SPNEGO (Simple and Protected GSSAPI Negotiation Mechanism) security mechanisms.

9. Bug Fixes and Performance Enhancements:

   • Numerous bug fixes and performance improvements across various Hadoop components.

10. Deprecated and Removed Features:

    • Hadoop 3.2.0 may deprecate or remove certain features or APIs that are no longer considered best practices or are obsolete.