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InfluxQL aggregate functions | Aggregate functions | Use InfluxQL aggregate functions to aggregate your time series data. |
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Use aggregate functions to assess, aggregate, and return values in your data. Aggregate functions return one row containing the aggregate values from each InfluxQL group.
Examples use the sample data set provided in the Get started with InfluxDB tutorial.
{{% note %}}
Missing InfluxQL functions
Some InfluxQL functions are in the process of being rearchitected to work with the InfluxDB 3.0 storage engine. If a function you need is not here, check the InfluxQL feature support page for more information. {{% /note %}}
COUNT()
Returns the number of non-null field values.
COUNT(field_expression)
Arguments
- field_expression: Expression to identify one or more fields to operate on.
Can be a field key,
constant, regular expression, or wildcard (
*
). Supports all field types.
Examples
{{< expand-wrapper >}} {{% expand "Count the number of non-null values in a field" %}}
SELECT COUNT(temp) FROM home
{{% influxql/table-meta %}} name: home {{% /influxql/table-meta %}}
time | count |
---|---|
1970-01-01T00:00:00Z | 26 |
{{% /expand %}}
{{% expand "Count the number of non-null values in each field" %}}
SELECT COUNT(*) FROM home
{{% influxql/table-meta %}} name: home {{% /influxql/table-meta %}}
time | count_co | count_hum | count_temp |
---|---|---|---|
1970-01-01T00:00:00Z | 26 | 26 | 26 |
{{% /expand %}}
{{% expand "Count the number of non-null values in fields where the field key matches a regular expression" %}}
SELECT COUNT(/^[th]/) FROM home
{{% influxql/table-meta %}} name: home {{% /influxql/table-meta %}}
time | count_hum | count_temp |
---|---|---|
1970-01-01T00:00:00Z | 26 | 26 |
{{% /expand %}}
{{% expand "Count distinct values for a field" %}}
InfluxQL supports nesting DISTINCT()
in COUNT()
.
SELECT COUNT(DISTINCT(co)) FROM home
{{% influxql/table-meta %}} name: home {{% /influxql/table-meta %}}
time | count |
---|---|
1970-01-01T00:00:00Z | 12 |
{{% /expand %}}
{{% expand "Count the number of non-null field values within time windows (grouped by time)" %}}
{{% influxdb/custom-timestamps %}}
SELECT
COUNT(temp)
FROM home
WHERE
room = 'Kitchen'
AND time >= '2022-01-01T08:00:00Z'
AND time <= '2022-01-01T20:00:00Z'
GROUP BY time(6h)
{{% influxql/table-meta %}} name: home {{% /influxql/table-meta %}}
time | count |
---|---|
2022-01-01T06:00:00Z | 4 |
2022-01-01T12:00:00Z | 6 |
2022-01-01T18:00:00Z | 3 |
{{% /influxdb/custom-timestamps %}}
{{% /expand %}} {{< /expand-wrapper >}}
DISTINCT()
Returns the list of unique field values.
DISTINCT(field_key)
Arguments
- field_key: Field key to return distinct values from. Supports all field types.
Notable behaviors
- InfluxQL supports nesting
DISTINCT()
withCOUNT()
.
Examples
{{< expand-wrapper >}} {{% expand "List the distinct field values" %}}
SELECT DISTINCT(co) FROM home
{{% influxql/table-meta %}} name: home {{% /influxql/table-meta %}}
time | distinct |
---|---|
1970-01-01T00:00:00Z | 0 |
1970-01-01T00:00:00Z | 1 |
1970-01-01T00:00:00Z | 3 |
1970-01-01T00:00:00Z | 4 |
1970-01-01T00:00:00Z | 7 |
1970-01-01T00:00:00Z | 5 |
1970-01-01T00:00:00Z | 9 |
1970-01-01T00:00:00Z | 18 |
1970-01-01T00:00:00Z | 14 |
1970-01-01T00:00:00Z | 22 |
1970-01-01T00:00:00Z | 17 |
1970-01-01T00:00:00Z | 26 |
{{% /expand %}} {{< /expand-wrapper >}}
MEAN()
Returns the arithmetic mean (average) of field values.
MEAN(field_expression)
Arguments
- field_expression: Expression to identify one or more fields to operate on.
Can be a field key,
constant, regular expression, or wildcard (
*
). Supports numeric fields.
Examples
{{< expand-wrapper >}} {{% expand "Calculate the mean value of a field" %}}
SELECT MEAN(temp) FROM home
{{% influxql/table-meta %}} name: home {{% /influxql/table-meta %}}
time | mean |
---|---|
1970-01-01T00:00:00Z | 22.396153846153844 |
{{% /expand %}}
{{% expand "Calculate the mean value of each field" %}}
SELECT MEAN(*) FROM home
{{% influxql/table-meta %}} name: home {{% /influxql/table-meta %}}
time | mean_co | mean_hum | mean_temp |
---|---|---|---|
1970-01-01T00:00:00Z | 5.269230769230769 | 36.15 | 22.396153846153844 |
{{% /expand %}}
{{% expand "Calculate the mean value of fields where the field key matches a regular expression" %}}
SELECT MEAN(/^[th]/) FROM home
{{% influxql/table-meta %}} name: home {{% /influxql/table-meta %}}
time | mean_hum | mean_temp |
---|---|---|
1970-01-01T00:00:00Z | 36.15 | 22.396153846153844 |
{{% /expand %}}
{{% expand "Calculate the mean value of a field within time windows (grouped by time)" %}}
{{% influxdb/custom-timestamps %}}
SELECT
MEAN(temp)
FROM home
WHERE
room = 'Kitchen'
AND time >= '2022-01-01T08:00:00Z'
AND time <= '2022-01-01T20:00:00Z'
GROUP BY time(6h)
{{% influxql/table-meta %}} name: home {{% /influxql/table-meta %}}
time | mean |
---|---|
2022-01-01T06:00:00Z | 22.275 |
2022-01-01T12:00:00Z | 22.649999999999995 |
2022-01-01T18:00:00Z | 23.033333333333335 |
{{% /influxdb/custom-timestamps %}}
{{% /expand %}} {{< /expand-wrapper >}}
MEDIAN()
Returns the middle value from a sorted list of field values.
MEDIAN(field_expression)
Arguments
- field_expression: Expression to identify one or more fields to operate on.
Can be a field key,
constant, regular expression, or wildcard (
*
). Supports numeric fields.
Notable behaviors
MEDIAN()
is nearly equivalent toPERCENTILE(field_key, 50)
, exceptMEDIAN()
returns the average of the two middle field values if the field contains an even number of values.
Examples
{{< expand-wrapper >}} {{% expand "Calculate the median value of a field" %}}
SELECT MEDIAN(temp) FROM home
{{% influxql/table-meta %}} name: home {{% /influxql/table-meta %}}
time | median |
---|---|
1970-01-01T00:00:00Z | 22.45 |
{{% /expand %}}
{{% expand "Calculate the median value of each field" %}}
SELECT MEDIAN(*) FROM home
{{% influxql/table-meta %}} name: home {{% /influxql/table-meta %}}
time | median_co | median_hum | median_temp |
---|---|---|---|
1970-01-01T00:00:00Z | 1 | 36.05 | 22.45 |
{{% /expand %}}
{{% expand "Calculate the median value of fields where the field key matches a regular expression" %}}
SELECT MEDIAN(/^[th]/) FROM home
{{% influxql/table-meta %}} name: home {{% /influxql/table-meta %}}
time | median_hum | median_temp |
---|---|---|
1970-01-01T00:00:00Z | 36.05 | 22.45 |
{{% /expand %}}
{{% expand "Calculate the median value of a field within time windows (grouped by time)" %}}
{{% influxdb/custom-timestamps %}}
SELECT
MEDIAN(temp)
FROM home
WHERE
room = 'Kitchen'
AND time >= '2022-01-01T08:00:00Z'
AND time <= '2022-01-01T20:00:00Z'
GROUP BY time(6h)
{{% influxql/table-meta %}} name: home {{% /influxql/table-meta %}}
time | median |
---|---|
2022-01-01T06:00:00Z | 22.549999999999997 |
2022-01-01T12:00:00Z | 22.7 |
2022-01-01T18:00:00Z | 23.1 |
{{% /influxdb/custom-timestamps %}}
{{% /expand %}} {{< /expand-wrapper >}}
STDDEV()
Returns the standard deviation of field values.
STDDEV(field_expression)
Arguments
- field_expression: Expression to identify one or more fields to operate on.
Can be a field key,
constant, regular expression, or wildcard (
*
). Supports numeric fields.
Examples
{{< expand-wrapper >}} {{% expand "Calculate the standard deviation of a field" %}}
SELECT STDDEV(temp) FROM home
{{% influxql/table-meta %}} name: home {{% /influxql/table-meta %}}
time | stddev |
---|---|
1970-01-01T00:00:00Z | 0.5553238833191091 |
{{% /expand %}}
{{% expand "Calculate the standard deviation of each field" %}}
SELECT STDDEV(*) FROM home
{{% influxql/table-meta %}} name: home {{% /influxql/table-meta %}}
time | stddev_co | stddev_hum | stddev_temp |
---|---|---|---|
1970-01-01T00:00:00Z | 7.774613519951676 | 0.25495097567963926 | 0.5553238833191091 |
{{% /expand %}}
{{% expand "Calculate the standard deviation of fields where the field key matches a regular expression" %}}
SELECT STDDEV(/^[th]/) FROM home
{{% influxql/table-meta %}} name: home {{% /influxql/table-meta %}}
time | stddev_hum | stddev_temp |
---|---|---|
1970-01-01T00:00:00Z | 0.25495097567963926 | 0.5553238833191091 |
{{% /expand %}}
{{% expand "Calculate the standard deviation of a field within time windows (grouped by time)" %}}
{{% influxdb/custom-timestamps %}}
SELECT
STDDEV(co)
FROM home
WHERE
room = 'Kitchen'
AND time >= '2022-01-01T08:00:00Z'
AND time <= '2022-01-01T20:00:00Z'
GROUP BY time(6h)
{{% influxql/table-meta %}} name: home {{% /influxql/table-meta %}}
time | stddev |
---|---|
2022-01-01T06:00:00Z | 0 |
2022-01-01T12:00:00Z | 3.6742346141747673 |
2022-01-01T18:00:00Z | 4 |
{{% /influxdb/custom-timestamps %}}
{{% /expand %}} {{< /expand-wrapper >}}
SUM()
Returns the sum of field values.
SUM(field_expression)
Arguments
- field_expression: Expression to identify one or more fields to operate on.
Can be a field key,
constant, regular expression, or wildcard (
*
). Supports numeric fields.
Examples
{{< expand-wrapper >}} {{% expand "Calculate the sum of values in a field" %}}
SELECT SUM(co) FROM home
{{% influxql/table-meta %}} name: home {{% /influxql/table-meta %}}
time | sum |
---|---|
1970-01-01T00:00:00Z | 137 |
{{% /expand %}}
{{% expand "Calculate the sum of values in each field" %}}
SELECT SUM(*) FROM home
{{% influxql/table-meta %}} name: home {{% /influxql/table-meta %}}
time | sum_co | sum_hum | sum_temp |
---|---|---|---|
1970-01-01T00:00:00Z | 137 | 939.9 | 582.3 |
{{% /expand %}}
{{% expand "Calculate the sum of values for fields where the field key matches a regular expression" %}}
SELECT SUM(/^[th]/) FROM home
{{% influxql/table-meta %}} name: home {{% /influxql/table-meta %}}
time | sum_hum | sum_temp |
---|---|---|
1970-01-01T00:00:00Z | 939.9 | 582.3 |
{{% /expand %}}
{{% expand "Calculate the sum of values in a field within time windows (grouped by time)" %}}
{{% influxdb/custom-timestamps %}}
SELECT
SUM(co)
FROM home
WHERE
room = 'Kitchen'
AND time >= '2022-01-01T08:00:00Z'
AND time <= '2022-01-01T20:00:00Z'
GROUP BY time(6h)
{{% influxql/table-meta %}} name: home {{% /influxql/table-meta %}}
time | sum |
---|---|
2022-01-01T06:00:00Z | 0 |
2022-01-01T12:00:00Z | 21 |
2022-01-01T18:00:00Z | 66 |
{{% /influxdb/custom-timestamps %}}
{{% /expand %}} {{< /expand-wrapper >}}