Delete predicate syntax
InfluxDB uses an InfluxQL-like predicate syntax to determine what data
points to delete.
InfluxDB uses the delete predicate to evaluate the series keys
of points in the time range specified in the delete request.
Points with series keys that evaluate to true
for the given predicate are deleted.
Points with series keys that evaluate to false
are preserved.
A delete predicate is comprised of one or more predicate expressions. The left operand of the predicate expression is the column name. The right operand is the column value. Operands are compared using comparison operators. Use logical operators to combine two or more predicate expressions.
Example delete predicate
key1="value1" AND key2="value"
With InfluxDB Cloud, delete predicates can use any column
or tag except _time
or _value
.
Logical operators
Logical operators join two or more predicate expressions.
Operator | Description |
---|---|
AND |
Both left and right operands must be true for the expression to be true . |
Comparison operators
Comparison operators compare left and right operands and return true
or false
.
Operator | Description | Example | Result |
---|---|---|---|
= |
Equal to | "abc"="abc" |
true |
Delete predicate examples
Delete points by measurement
The following will delete points in the sensorData
measurement:
_measurement="sensorData"
Delete points by field
The following will delete points with the temperature
field:
_field="temperature"
Delete points by tag set
The following will delete points from the prod-1.4
host in the us-west
region:
host="prod-1.4" AND region="us-west"
Limitations
The delete predicate syntax has the following limitations.
- Delete predicates do not support regular expressions.
- Delete predicates do not support the
OR
logical operator. - Delete predicates only support equality (
=
), not inequality (!=
). - Delete predicates can use any column or tag except
_time
or_value
.
Support and feedback
Thank you for being part of our community! We welcome and encourage your feedback and bug reports for InfluxDB and this documentation. To find support, the following resources are available:
InfluxDB Cloud and InfluxDB Enterprise customers can contact InfluxData Support.