Ambari Views Guide
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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
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2015-12-21
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. Using Ambari Views
- 2. Preparing Ambari Server for Views
- 3. Running Ambari Server Standalone
- 4. Configuring Views for Kerberos
- 5. Using the Tez View
- 6. Using the Pig View
- 7. Using the Capacity Scheduler View
- 8. Using the Hive View
- 9. Using the Slider View
- 10. Using the Files View
List of Figures
- 3.1. Configuring Views with your HDP Cluster
- 5.1. Tez View Create Instance Page
- 5.2. Tez View Instance Page
- 5.3. Granting User Permissions to Tez Views
- 5.4. SQL Query Execution in Hive
- 5.5. Tez View Column Selector Dialog Box
- 5.6. View Tab in Tez View
- 5.7. DAG Details Window
- 5.8. Tez View All Tasks Tab
- 5.9. Tez View DAG-Level Counters Tab
- 5.10. Tez View Vertex-Level Counters Tab
- 5.11. Tez View Task-Level Counters Tab
- 6.1. Pig View Details and Settings
- 6.2. Pig View Cluster Configuration
- 6.3. HDFS Service Page in Ambari
- 6.4. Using the Filter to Search Advanced hdfs-site Settings
- 6.5. Granting User Permissions to Pig Views
- 6.6. Kerberos Settings for Pig Views
- 6.7. Pig Script Running in the Pig View
- 6.8. Pig View Script History Tab
- 6.9. Pig View UDFs Tab
- 8.1. HDFS Service Page in Ambari
- 8.2. Using the Filter to Search Advanced hdfs-site Settings
- 8.3. Granting User Permissions to Hive Views
- 8.4. Hive View Kerberos Configuration Example: Hive Authentication Field
- 8.5. Hive View Kerberos Configuration Example: HiveServer2 Host Field
- 8.6. Hive View Database Explorer
- 8.7. Query Editor
- 8.8. Query Results and Logs in Hive View Query Editor
- 8.9. Query Editor Textual Explain Feature
- 8.10. Query Editor Visual Explain Feature
- 8.11. Tez View Query Debugging Option
- 8.12. Query Editor Error Message Summary Window
- 8.13. Query Editor Error Message Details Window
- 8.14. Saved Queries Tab
- 8.15. History Tab
- 8.16. UDF Tab
List of Tables
- 5.1. Cluster Configurations for Tez View
- 5.2. Cluster Configuration Values for the Tez View in Ambari
- 5.3. Kerberos Settings for Tez Views
- 5.4. Tez Job Status Descriptions
- 6.1. Finding Cluster Configuration Values for the Pig View in Ambari
- 6.2. Pig View Settings for NameNode High Availability
- 8.1. Hive View Instance Details
- 8.2. Finding Cluster Configuration Values for the Hive View in Ambari
- 8.3. Hive View Settings for NameNode High Availability
- 8.4. Kerberos Settings for Hive Views
- 8.5. Troubleshooting Hive Views Errors