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InfluxDB Clustered

InfluxQL miscellaneous functions

Use InfluxQL miscellaneous functions to perform different operations in InfluxQL queries.

fill()

Fills null field values returned from empty time windows in GROUP BY time() queries with a specified fill value.

Supported only in the GROUP BY clause.

fill(behavior)

Arguments

  • behavior: Defines the behavior of the fill operation. If no FILL clause is included, the default behavior is fill(null).

    The following options are available:

    • numeric literal: Replaces null values with the specified numeric literal.
    • linear: Uses linear interpolation between existing values to replace null values.
    • none: Removes rows with null field values.
    • null: Keeps null values and associated timestamps.
    • previous: Replaces null values with the most recent non-null value.

Examples

The following example uses the Bitcoin price sample dataset.

fill(numeric_literal) fill(linear) fill(none) fill(null) fill(previous)

SELECT  MEAN(price) FROM bitcoin WHERE  code = 'USD'  AND time >= '2023-05-01T00:00:00Z'  AND time < '2023-05-01T02:00:00Z' GROUP BY  time(30m)  fill(0)

name: bitcoin

timemean
2023-05-01T00:00:00Z29319.9092
2023-05-01T00:30:00Z29307.4416
2023-05-01T01:00:00Z0
2023-05-01T01:30:00Z29263.2886
SELECT  MEAN(price) FROM bitcoin WHERE  code = 'USD'  AND time >= '2023-05-01T00:00:00Z'  AND time < '2023-05-01T02:00:00Z' GROUP BY  time(30m)  fill(linear)

name: bitcoin

timemean
2023-05-01T00:00:00Z29319.9092
2023-05-01T00:30:00Z29307.4416
2023-05-01T01:00:00Z29285.3651
2023-05-01T01:30:00Z29263.2886
SELECT  MEAN(price) FROM bitcoin WHERE  code = 'USD'  AND time >= '2023-05-01T00:00:00Z'  AND time < '2023-05-01T02:00:00Z' GROUP BY  time(30m)  fill(none)

name: bitcoin

timemean
2023-05-01T00:00:00Z29319.9092
2023-05-01T00:30:00Z29307.4416
2023-05-01T01:30:00Z29263.2886
SELECT  MEAN(price) FROM bitcoin WHERE  code = 'USD'  AND time >= '2023-05-01T00:00:00Z'  AND time < '2023-05-01T02:00:00Z' GROUP BY  time(30m)  fill(null)

name: bitcoin

timemean
2023-05-01T00:00:00Z29319.9092
2023-05-01T00:30:00Z29307.4416
2023-05-01T01:00:00Z
2023-05-01T01:30:00Z29263.2886
SELECT  MEAN(price) FROM bitcoin WHERE  code = 'USD'  AND time >= '2023-05-01T00:00:00Z'  AND time < '2023-05-01T02:00:00Z' GROUP BY  time(30m)  fill(previous)

name: bitcoin

timemean
2023-05-01T00:00:00Z29319.9092
2023-05-01T00:30:00Z29307.4416
2023-05-01T01:00:00Z29307.4416
2023-05-01T01:30:00Z29263.2886

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