HDFS Administration Guide
Copyright © 2012-2016 Hortonworks, Inc.
 | Except where otherwise noted, this document is licensed under Creative Commons Attribution ShareAlike 4.0 License |
2016-03-02
Abstract
The Hortonworks Data Platform, powered by Apache Hadoop, is a massively scalable and 100% open source platform for storing, processing and analyzing large volumes of data. It is designed to deal with data from many sources and formats in a very quick, easy and cost-effective manner. The Hortonworks Data Platform consists of the essential set of Apache Hadoop projects including MapReduce, Hadoop Distributed File System (HDFS), HCatalog, Pig, Hive, HBase, ZooKeeper and Ambari. Hortonworks is the major contributor of code and patches to many of these projects. These projects have been integrated and tested as part of the Hortonworks Data Platform release process and installation and configuration tools have also been included.
Unlike other providers of platforms built using Apache Hadoop, Hortonworks contributes 100% of our code back to the Apache Software Foundation. The Hortonworks Data Platform is Apache-licensed and completely open source. We sell only expert technical support, training and partner-enablement services. All of our technology is, and will remain, free and open source.
Please visit the Hortonworks Data Platform page for more information on Hortonworks technology. For more information on Hortonworks services, please visit either the Support or Training page. Feel free to contact us directly to discuss your specific needs.
Contents
- 1. ACLs on HDFS
- 2. Archival Storage
- 3. Centralized Cache Management in HDFS
- 4. Configuring HDFS Compression
- 5. Configuring Rack Awareness On HDP
- 6. Customizing HDFS
- 7. Hadoop Archives
- 8. JMX Metrics APIs for HDFS Daemons
- 9. Memory as Storage (Technical Preview)
- 10. Running DataNodes as Non-Root
- 11. Short Circuit Local Reads On HDFS
- 12. WebHDFS Administrator Guide
- 13. HDFS "Data at Rest" Encryption
- 14. Backing Up HDFS Metadata
List of Figures
List of Tables
- 1.1. ACL Options
- 1.2. getfacl Options
- 2.1. Setting Storage Policy
- 2.2. Getting Storage Policy
- 2.3. HDFS Mover Arguments
- 3.1. Cache Pool Add Options
- 3.2. Cache Pool Modify Options
- 3.3. Cache Pool Remove Options
- 3.4. Cache Pools List Options
- 3.5. Cache Pool Help Options
- 3.6. Cache Pool Add Directive Options
- 3.7. Cache Pools Remove Directive Options
- 3.8. Cache Pool Remove Directives Options
- 3.9. Cache Pools List Directives Options