Configuring your Account Settings

Note

Qubole and qubole are reserved by Qubole. Do not use them in any AWS configuration. For more information, see Qubole Cluster EC2 Tags (AWS).

Account Details

Parameter Detail
Account Name Enter a name in the text field.
Pod Name

Denotes the name of the pod that you belong to.

To mitigate risk while rolling out a new feature, Qubole groups users, and accounts into different pods. When a change is rolled out to a pod, Qubole monitors the feature’s performance before rolling it out to subsequent pods. See Gradual Rollout.

Domain Name Allowed to Sign In/Up Enter a domain, or a comma-separated list of domains, from which this account can be used; for example, qubole.net or qubole.net,example.com.
Idle Session Timeout Optionally specify how long (in minutes) QDS should wait to terminate an idle QDS UI session. The default is 1440 minutes (24 hours). To change it, enter a number from 1 to 10080 (10080 minutes is a week).
Idle Cluster Timeout

The default cluster timeout is 2 hours. Optionally, you can configure it between 0-6 hours. The unit of time supported is only hour. If the timeout is set at the account level, it applies to all clusters within that account. However, you can override the timeout at the cluster level. The timeout is effective on the completion of all queries on the cluster. Qubole terminates a cluster in an hour boundary. For example, when idle_cluster_timeout is 0, then if there is any node in the cluster near its hour boundary (that is it has been running for 50-60 minutes and is idle even after all queries are executed), Qubole terminates that cluster.

Note

The Idle Cluster Timeout can be configured in hours and minutes. This feature is not enabled on all accounts by default. To enable this feature for your QDS account, contact the Account team.

Allow Qubole Access Check this to allow Qubole Support to log in to this account (helpful if you run into problems).

Account Level Concurrent Command Limit

Provides the maximum number of concurrent commands that can be run at the account level. For details on service limits, see Understanding Service Limits.
User Level Concurrent Command Limit

Provides the maximum number of concurrent commands that can be run at the user-level for the current account. This helps avoid a scenario where one user consumes the entire concurrent command limit. The user limit remains the same for all the users.

Note

This feature is disabled by default. To enable this feature for your account, create a ticket with Qubole Support.

Notifications

Parameter Detail
Email List for Account Updates Enter a list of email addresses to which notifications will be sent about releases, account/cluster configuration, and feature changes.
Command Timeout (Optional) Enter the number of seconds to wait before triggering an alert that a query you ran (from the Compose tab of the Analyze page) is still running.

Datadog Settings

Parameter Detail
Email List for Cluster Alerts

Enter a list of comma separated email addresses to which the datadog alerts should be sent.

Note

Any change in the list of email addresses is effective only on the new clusters. If you want to change the list of email addresses for an existing cluster, you should update the email list on the Datadog UI manually.

API key Enter the API token.
Application key Enter the Datadog application key.
  • Qubole supports the Datadog cloud monitoring service on Hadoop 1, Hadoop 2 (Hive), Presto, and Spark clusters.
  • If you configure Datadog settings, they are enabled by default on all Hadoop 1, Hadoop 2 (Hive), Presto, and Spark clusters in the QDS account. Ganglia monitoring is also enabled. You can override the settings for a particular cluster.

Note

Although Ganglia monitoring is enabled, its link may not be visible in the cluster’s UI resources list.

Click Save to apply your changes or Reset to cancel them.

See What are some examples of policies I should use to delegate access to Qubole for my Cloud accounts? for the set of permissions to be given.

Qubole allows you to authorize Amazon Web Service (AWS) using: