Druid console

Druid includes a web console for loading data, managing datasources and tasks, and viewing server status and segment information. You can also run SQL and native Druid queries in the console.

In an Imply cluster, access the Druid console by clicking on the window icon on the right side of the Data page in Pivot:

The Router service hosts the Druid console. Directly access the Druid console on your Imply cluster at http://{router_host}:8888.

It is important to note that any Druid console user will have, effectively, the same file permissions as the user under which Druid runs. One way these permissions are surfaced is in the file browser dialog. The dialog will show console users the files that the underlying user has permissions to. In general, avoid running Druid as root user. Consider creating a dedicated user account for running Druid.

This topic presents the high-level features and functionality of the Druid console.

Home

The Home view provides a high-level overview of the cluster. Each card is clickable and links to the appropriate view.

The Home view displays the following cards:

• Status. Click this card for information on the Druid version and any extensions loaded on the cluster.
• Datasources
• Segments
• Supervisors
• Tasks
• Services
• Lookups

You can access the data loader and lookups view from the top-level navigation of the Home view.

Data loader

You can use the data loader to build an ingestion spec with a step-by-step wizard.

After selecting the location of your data, follow the series of steps displaying incremental previews of the data as it is ingested. After filling in the required details on every step you can navigate to the next step by clicking Next. You can also freely navigate between the steps from the top navigation.

Navigating with the top navigation leaves the underlying spec unmodified while clicking Next attempts to fill in the subsequent steps with appropriate defaults.

Datasources

The Datasources view shows all the datasources currently loaded on the cluster, as well as their sizes and availability. From the Datasources view, you can edit the retention rules, configure automatic compaction, and drop data in a datasource.

A datasource is partitioned into one or more segments organized by time chunks. To display a timeline of segments, toggle the option for Show segment timeline.

Like any view that is powered by a Druid SQL query, you can click View SQL query for table from the ellipsis menu to run the underlying SQL query directly.

You can view and edit retention rules to determine the general availability of a datasource.

Segments

The Segments view shows all the segments in the cluster. Each segment has a detail view that provides more information. The Segment ID is also conveniently broken down into Datasource, Start, End, Version, and Partition columns for ease of filtering and sorting.

Supervisors and tasks

From this view, you can check the status of existing supervisors as well as suspend, resume, and reset them. The supervisor oversees the state of the indexing tasks to coordinate handoffs, manage failures, and ensure that the scalability and replication requirements are maintained.

The tasks table allows you to see the currently running and recently completed tasks. To navigate your tasks more easily, you can group them by their Type, Datasource, or Status. Submit a task manually by clicking the ellipsis menu and selecting Submit JSON task.

Click on the magnifying glass for any supervisor to see detailed reports of its progress.

Click on the magnifying glass for any task to see more detail about it.

Services

The Services view lets you see the current status of the nodes in your cluster. You can group the nodes by type or by tier to get meaningful summary statistics.

Query

The Query view lets you issue Druid SQL queries and display the results as a table. The view will attempt to infer your query and let you modify the query via contextual actions such as adding filters and changing the sort order when possible.

From the ellipsis menu beside Run, you can view your query history, see the native query translation for a given Druid SQL query, and set the query context.

You can also use the query editor to issue queries in Druid's native query format, which is JSON over HTTP.

Lookups

Access the Lookups view from the Lookups card in the home view or by clicking on the gear icon in the upper-right corner. Here you can create and edit query time lookups.