Hortonworks Data Platform

HDFS Administration Guide

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Hortonworks Data Platform (HDP) and any of its components are not anticipated to be combined with any hardware, software or data, except as expressly recommended in this documentation.

2014-12-02

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. HDFS Administration

1. Configuring ACLs on HDFS
2. Using CLI Commands to Create and List ACLs
3. ACL Examples
4. ACLS on HDFS Features
5. Use Cases for ACLs on HDFS

2. Archival Storage

1. Introduction
2. HDFS Storage Types
3. Storage Policies: Hot, Warm, and Cold
4. Configuring Archival Storage

3. Centralized Cache Management in HDFS

1. Overview
2. Caching Use Cases
3. Caching Architecture
4. Caching Terminology
5. Configuring Centralized Caching
6. Using Cache Pools and Directives

4. Configuring HDFS Compression

5. Configuring Rack Awareness On HDP

1. Create a Rack Topology Script
2. Add the Topology Script Property to core-site.xml
3. Restart HDFS and MapReduce
4. Verify Rack Awareness

6. Hadoop Archives

1. Introduction
2. Hadoop Archive Components
3. Creating a Hadoop Archive
4. Looking Up Files in Hadoop Archives
5. Hadoop Archives and MapReduce

7. JMX Metrics APIs for HDFS Daemons

8. Memory as Storage (Technical Preview)

1. Introduction
2. HDFS Storage Types
3. The LAZY_PERSIST Memory Storage Policy
4. Configuring Memory as Storage

9. Running DataNodes as Non-Root

1. Introduction
2. Configuring DataNode SASL

10. Short Circuit Local Reads On HDFS

1. Prerequisites
2. Configuring Short-Circuit Local Reads on HDFS
3. Short-Circuit Local Read Properties in hdfs-site.xml

11. WebHDFS Administrator Guide

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
8.1. getStoragePolicy Argument
8.2. mover Arguments

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