Hadoop 2.6
Hadoop is a popular open-source framework used for processing and storing large datasets across distributed clusters of computers. Hadoop 2.6 is one of the earlier versions of the Hadoop framework.
Hadoop 2.6 introduced several improvements and features over its predecessors. Some key features of Hadoop 2.6 include:
- YARN (Yet Another Resource Negotiator): This version of Hadoop introduced YARN, a resource management and job scheduling component. YARN decouples the resource management and job scheduling functions from the MapReduce programming model, allowing Hadoop to support multiple programming models and applications simultaneously.
- High Availability for HDFS: Hadoop 2.6 improved the High Availability (HA) capabilities of the Hadoop Distributed File System (HDFS). If a NameNode (metadata server) fails, another standby NameNode can take over seamlessly, reducing downtime.
- Compatibility: Hadoop 2.6 maintained compatibility with the Hadoop 1. x APIs, ensuring that existing MapReduce applications could be easily migrated to the new version.
- Improved Scalability: Hadoop 2.6 enhanced the framework’s scalability, allowing organizations to process even larger datasets across larger clusters of machines.
- Security Enhancements: Hadoop 2.6 introduced various security improvements, including support for Access Control Lists (ACLs) on HDFS files and directories.
- Data Locality Optimization: Hadoop 2.6 improved the data locality optimization, ensuring that data processing tasks are executed on nodes where the data is already present, reducing data transfer across the cluster.
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