Skip to content
OpenObserve
Get Demo Log In Star
OpenObserve
Get Demo Star
Open Menu Close Menu

Aggregate Functions

Aggregate functions compute a single result from a set of input values. For usage of standard SQL aggregate functions such as COUNT, SUM, AVG, MIN, and MAX, refer to PostgreSQL documentation.

histogram

Syntax: histogram(field) or histogram(field, 'interval') Description:
Use the histogram() function to divide your time-based log data into fixed intervals and apply aggregate functions such as COUNT() or SUM() to analyze time-series patterns. This helps visualize trends over time and supports meaningful comparisons.

Syntax: 

histogram(timestamp_field, 'interval')

  • timestamp_field: A valid timestamp field, such as _timestamp.
  • interval: A fixed time interval in readable units such as '30 seconds', '1 minute', '15 minutes', or '1 hour'.

Histogram with aggregate function 

SELECT histogram(_timestamp, '30 seconds') AS key, COUNT(*) AS num
FROM "default"
GROUP BY key
ORDER BY key
Expected Output:

This query divides the log data into 30-second intervals. Each row in the result shows:

  • key: The start time of the 30-second bucket.
  • num: The count of log records that fall within that time bucket.
    histogram

Note

  • If you do not specify an interval, the backend automatically determines a suitable value.
  • To ensure consistent bucket sizes and avoid unexpected behavior, it is recommended to always define the interval explicitly.