With the Metrics and events data explorer you can navigate all your data visually, without needing to know how to write NRQL-format queries.
Need to perform a more detailed search? Read how to query your data.
Do you research the state of your systems? Do you need to plan resources, identify and respond to incidents, or troubleshoot faulty behaviors? The data explorer makes it easy to identify, fetch and visualize the data you are looking for through visual menus, without ever using NRQL or building queries.
With the Metrics and events data explorer you can access all data stored in the New Relic database (NRDB) in a quick, intuitive way. You can then select Dimensions to facet by specific dimensions of that data.
Other things the data explorer helps you do:
- See data from different points of view: from raw data to different visualizations that provide insights on evolution, distribution, and more.
- Drill down into data using filters.
- Add your searches to a dashboard.
- Understand how NRQL works: the data explorer shows how queries are built.
In the context of the Metrics and events data explorer,
event refers to all objects stored in the New Relic database (NRDB). The data explorer lets you explore:
- Events: the event data type.
- Logs: the
Logdata type (which you can also explore via our logs UI)
- Traces: the
Spandata type (which you can also explore via our trace UI)
To access the data explorer, go to one.newrelic.com and click Metrics and events.
The data explorer consists of a scoping section on the top (A), a data browsing area on the left (B), and a workspace (C).
To use the data explorer:
Define the scope: select the data type (metric or event), the account, and the entities.
Select the time range using the time picker.
Use the blocks on the left to browse the available data and build your search. You can only select one element per block. Blocks are searchable.
We use the metric system (including metric SI prefixes) to display our units.
The result of your exploration is displayed in the working space on the right.
At the working space you can see:
See the following examples to learn how and when to use the data explorer.