Rolling Upgrade Guide
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2015-09-04
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. Overview
- 2. Preparation
- 3. Upgrading the Cluster
- 1. Upgrade Zookeeper
- 2. Upgrade Ranger
- 3. Upgrade core-cluster master processes
- 3.1. Upgrade HDFS JournalNodes
- 3.2. Upgrade the HDFS NameNode HA Process Pair
- 3.3. Upgrade the MapReduce JobHistoryServer
- 3.4. Upgrade the YARN Timeline Service
- 3.5. Upgrade the YARN ResourceManager process or HA process pair
- 3.6. Upgrade HBase Master(s)
- 3.7. Upgrade the HBase REST server
- 3.8. Upgrade the HBase Thrift server
- 4. Upgrade core slave nodes (HDFS, YARN, HBase)
- 5. Upgrade non-core cluster components
- 6. Upgrade Knox
- 7. Upgrade components outside of the cluster
- 8. Upgrade Slider
- 9. Upgrade clients on cluster (core and non-core) components
- 10. Finalize the rolling upgrade process
- 4. Downgrading the Cluster
- 1. Downgrade clients on cluster components
- 2. Downgrade Slider
- 3. Downgrade components outside of the cluster
- 4. Downgrade Knox
- 5. Downgrade non-core cluster components
- 6. Downgrade core slave nodes
- 7. Downgrade core-cluster master processes
- 7.1. Downgrade the HBase Thrift server
- 7.2. Downgrade HBase REST Server
- 7.3. Downgrade HBase Master(s)
- 7.4. Downgrade the YARN ResourceManager process or HA process pair
- 7.5. Downgrade the YARN Timeline Service
- 7.6. Downgrade the MapReduce JobHistoryServer
- 7.7. Downgrade the HDFS NameNode HA Process Pair
- 7.8. Downgrade HDFS JournalNode(s)
- 7.9. Validation
- 8. Downgrade Ranger
- 9. Downgrade Zookeeper
- 5. Initiating Rollback
- 6. Appendix A
- 7. Appendix B
List of Tables
- 6.1. Validation Links