Documentation

GROUP BY clause

Use the GROUP BY clause to group data by values.

GROUP BY is an optional clause used to group rows that have the same values for all columns and expressions in the list. To output an aggregation for each group, include an aggregate or selector function in the SELECT statement. When GROUP BY appears in a query, the SELECT list can only use columns that appear in the GROUP BY list or in aggregate expressions.

Group by aliases

  • GROUP BY can use column aliases that are defined in the SELECT clause.
  • GROUP BY won’t use an aliased value if the alias is the same as the original column name. GROUP BY uses the original value of the column, not the transformed, aliased value. We recommended using column ordinals in in the GROUP BY clause to group by transformed values and maintain the alias identifier.

Syntax

SELECT
  AGGREGATE_FN(field1),
  tag1
FROM measurement
GROUP BY tag1

Examples

Group data by tag values

SELECT
  AVG(water_level) AS avg_water_level,
  location
FROM h2o_feet
GROUP BY location

View example results

Group data into 15 minute time intervals by tag

SELECT
  location,
  DATE_BIN(INTERVAL '15 minutes', time) AS time,
  COUNT(water_level) AS count
FROM h2o_feet
WHERE 
  time >= timestamp '2019-09-17T00:00:00Z'
  AND time <= timestamp '2019-09-17T01:00:00Z'
GROUP BY 1, location
ORDER BY location, 1

View example results


Was this page helpful?

Thank you for your feedback!


The future of Flux

Flux is going into maintenance mode. You can continue using it as you currently are without any changes to your code.

Read more

InfluxDB 3 Open Source Now in Public Alpha

InfluxDB 3 Open Source is now available for alpha testing, licensed under MIT or Apache 2 licensing.

We are releasing two products as part of the alpha.

InfluxDB 3 Core, is our new open source product. It is a recent-data engine for time series and event data. InfluxDB 3 Enterprise is a commercial version that builds on Core’s foundation, adding historical query capability, read replicas, high availability, scalability, and fine-grained security.

For more information on how to get started, check out: