Ambari Views Guide
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Chapter 1. Using Ambari Views

Ambari includes the Ambari Views Framework, which allows for developers to create UI components that “plug into” the Ambari Web interface. Ambari includes a built-in set of Views that are pre-deployed for you to use with your cluster. This guide provides information on configuring the built-in set of Views, as well as information on how to configure Ambari Server for “standalone” operation.

Views can be deployed and managed in the “operational” Ambari Server that is operating your cluster. In addition, Views can be deployed and managed in one or more separate “standalone” Ambari Servers. Running “standalone” Ambari Server instances is useful when users who will access views will not have (and should not) have access to that Ambari Server that is operating the cluster. As well, you can run one or more separate Ambari Server instances “standalone” for a scale-out approach to handling a large number of users. See Running Ambari Standalone for more information.


It is critical that you prepare your Ambari Server for hosting views. It is strongly recommended you increase the amount of memory available to your Ambari Server, and that you run additional “standalone” Ambari Servers to host the views. See Preparing Ambari Server for Views and Running Ambari Server Standalone for more information.



HDP Stacks

Required Services

Using the Capacity Scheduler View

Provides a visual way to configure YARN capacity scheduler queue capacity.

HDP 2.3 or later


Using the Files View

Allows you to browse the HDFS file system.

HDP 2.2 or later


Using the Hive View

Exposes a way to find, author, execute and debug Hive queries.

HDP 2.3 or later


Using the Pig View

Provides a way to author and execute Pig Scripts.

HDP 2.2 or later

HDFS, Hive ( WebHCat ), Pig

Using the Slider View

A tool to help deploy and manage Slider-based applications.

This view has been marked deprecated.

HDP 2.1 or later


Using the Tez View

View information related to Tez jobs that are executing on the cluster.

HDP or later


Learning More About Views

You can learn more about the Views Framework at the following resources: