Ambari Reference Topics
Copyright © 2012-2014 Hortonworks, Inc.
Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance with the License. You may obtain a copy of the License at
http://www.apache.org/licenses/LICENSE-2.0
Unless required by applicable law or agreed to in writing, software distributed under the License is distributed on an "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the License for the specific language governing permissions and limitations under the License.
2014-07-15
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. Installing Ambari Agents Manually
- 2. Customizing HDP Services
- 3. Using Custom Host Names
- 4. Moving the Ambari Server
- 5. Configuring LZO Compression
- 6. Using Non-Default Databases
- 7. Setting up an Internet Proxy server for Ambari
- 8. Configuring Network Port Numbers
- 9. Changing the JDK Version on an Existing Cluster
- 10. Configuring NameNode High Availability
- 1. Setting Up NameNode High Availability
- 2. Rolling Back NameNode HA
- 2.1. Stop HBase
- 2.2. Checkpoint the Active NameNode
- 2.3. Stop All Services
- 2.4. Prepare the Ambari Server Host for Rollback
- 2.5. Restore the HBase Configuration
- 2.6. Delete ZK Failover Controllers
- 2.7. Modify HDFS Configurations
- 2.8. Recreate the Secondary NameNode
- 2.9. Re-enable the Secondary NameNode
- 2.10. Delete All JournalNodes
- 2.11. Delete the Additional NameNode
- 2.12. Verify your HDFS Components
- 2.13. Start HDFS
- 11. Configuring RHEL HA for Hadoop 1.x
- 12. Using Ambari Blueprints
- 13. Configuring HDP Stack Repositories for Red Hat Satellite
- 14. Configuring Storm for Supervision
- 15. Tuning Ambari Performance for large (>2K-node) clusters
List of Tables
- 2.1. Service Users
- 2.2. Service Group
- 2.3. HDFS Settings: Advanced
- 2.4. MapReduce Settings: Advanced
- 2.5. Service Users
- 2.6. Service Group
- 2.7. HDFS Settings: Advanced
- 2.8. MapReduce Settings: Advanced
- 6.1. Hive Security Authorization Settings
- 8.1. Ambari Ports
- 8.2. Ganglia Ports
- 8.3. Nagios Ports
- 10.1. Core-site.xml properties and values for NameNode HA on a cluster using Hue
- 10.2. Set Environment Variables
- 11.1. Parameter Options for relocate_host_components.py
