Hortonworks Data Platform

Automated Install with Ambari

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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.

2014-04-22

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. Getting Ready

1. Determine Stack Compatibility

2. Meet Minimum System Requirements

2.1. Hardware Recommendations
2.2. Operating Systems Requirements
2.3. Browser Requirements
2.4. Software Requirements
2.5. JDK Requirements
2.6. Database Requirements
2.7. File System Partitioning Recommendations

3. Collect Information

4. Prepare the Environment

4.1. Check Existing Installs
4.2. Set Up Password-less SSH
4.3. Set up Users and Groups
4.4. Enable NTP on the Cluster and on the Browser Host
4.5. Check DNS
4.6. Configuring iptables
4.7. Disable SELinux and PackageKit and check the umask Value
4.8. Disable Transparent Huge Pages (THP)

5. Optional: Configure Local Repositories

5.1. Obtaining the Repositories
5.2. Setting Up a Local Repository

2. Installing Ambari Server

1. Set Up the Bits

1.1. RHEL/CentOS/Oracle Linux 5.x
1.2. RHEL/CentOS/Oracle Linux 6.x
1.3. SLES 11

2. Set Up the Server

2.1. Setup Options

3. Start the Ambari Server

3. Hadoop 1.x - Installing, Configuring, and Deploying the Cluster

1. Log into Apache Ambari

2. Welcome

3. Select Stack

4. Install Options

5. Confirm Hosts

6. Choose Services

7. Assign Masters

8. Assign Slaves and Clients

9. Customize Services

9.1. Service Users and Groups
9.2. Properties That Depend on Service Usernames/Groups
9.3. Recommended Memory Configurations for the MapReduce Service

10. Review

11. Install, Start and Test

12. Summary

4. Hadoop 2.x - Installing, Configuring, and Deploying the Cluster