never¶
Type of operation: Filter
Description¶
When the verb input is a Resource dataset, never
selects all resources that at no point matched the predicate.
never
may also be applied to a non-Resource dataset if it has a primary key. In that case, the primary key identifies groups of rows. never
selects all groups where none of the rows in the group match the predicate.
Usage¶
never predicate, [ frame ]
Argument |
Type |
Optional |
Repeatable |
Restrictions |
---|---|---|---|---|
predicate |
bool |
no |
no |
none |
frame |
frame |
yes |
no |
constant |
Accelerable¶
never is accelerable if there is a frame() argument. A dataset that only uses accelerable verbs can be accelerated, making queries on the dataset respond faster.
Examples¶
never string(status_code) ~ /^5.*/
Select only resources where the status_code
column, converted to string, never started with 5
, at any point of the query time window. This formulation is not accelerable.
never string(status_code) ~ /^5.*/, frame(back: 30m)
Select only resources where the status_code
column, converted to string, never started with 5
, within the last half hour. This formulation is accelerable because the frame(back:30m)
argument specifies a relative time range to check.
never bytesUsed < 20000000
Assume the verb input is an Event dataset representing memory usage metrics. The input dataset has a Valid From
field “timestamp”, a primary key (“deviceId”), and an additional column “bytesUsed”. The OPAL selects the “deviceId”s for which bytesUsed was not below 20000000 at any point in time, and returns all rows for the selected “deviceId”s.