The New Relic Query Language (NRQL), similar to SQL, is a query language for making calls against the Insights event database. NRQL enables you to query data collected from your application and transform that data into dynamic charts. From there, you can interpret your data to better understand how your application is used in a variety of ways.
- For a library of videos about basic concepts, examples, and advanced procedures to use New Relic Insights, visit learn.newrelic.com.
- For examples of using NRQL to explore the data collected by New Relic APM and other products, see the NRQL example documentation.
Use the query tool
The command line query tool appears at the top of your dashboards and the Query page. Use it to build out commands with SQL-style syntax. As you type, the auto-completion feature suggests attributes, and it flags syntax errors with a red underline. For more information about NRQL syntax, see NRQL reference.
If your company uses multiple New Relic accounts across your teams, you can select the source account from the account switcher in the query tool to query the source account's data.
The parser can identify syntax errors, but logic errors will normally not be apparent until you try to execute the statement. If the statement cannot be run, an error report will indicate the location of the first identified error. New Relic Insights also ignores
NULL results entirely, unless your query explicitly requests
SELECT function(attribute) [AS 'label'][, ...] FROM event [WHERE attribute [comparison] [AND|OR ...]][AS 'label'][, ...] [FACET attribute | function(attribute)] [LIMIT number] [SINCE time] [UNTIL time] [WITH TIMEZONE timezone] [COMPARE WITH time] [TIMESERIES time]
New Relic refers to NRQL statements as event queries. The syntax of the NRQL event query is similar to standard SQL queries. Basic syntax rules include:
|Strings||NRQL uses single quotes
You must use backticks
|Float values||Insights does not support "coercion." This means that a float stored as a string is treated as a string and cannot be operated on by functions expecting float values.|
|Math functions||Basic math functions are supported in the
|JOIN functions||Insights does not have the equivalent of the SQL JOIN function, but you can simulate a JOIN with custom attributes.|
NRQL query examples
- Basic NRQL query example
SELECT uniqueCount(user) FROM PageView WHERE userAgentOS = 'Mac' FACET countryCode SINCE 1 day ago LIMIT 20
- NRQL query example of attribute with space in name
SELECT count(*) FROM Transaction FACET `Logged-in user`
- Multiple events query examples
- To return data from two event types, separate the event types with a comma:
SELECT ... FROM event, event ...
SELECT count(*) FROM Transaction, PageView SINCE 3 days ago
- Multiple columns query examples
- To return multiple columns from a dataset, separate the aggregator arguments with a comma:
SELECT function(attribute), function(attribute) ... FROM ...
This query returns the minimum, average, and maximum duration for Browser events over the last week:
SELECT min(duration), max(duration), average(duration) FROM PageView SINCE 1 week ago