Docs: remove keep_common, count_scalar, drop_common_labels

This commit is contained in:
Brian Brazil 2017-10-27 15:42:44 +01:00
parent c4a68f29bf
commit aeb524ad14
2 changed files with 2 additions and 17 deletions

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@ -60,14 +60,6 @@ elements in `v` to have an upper limit of `max`.
`clamp_min(v instant-vector, min scalar)` clamps the sample values of all
elements in `v` to have a lower limit of `min`.
## `count_scalar()`
`count_scalar(v instant-vector)` returns the number of elements in a time series
vector as a scalar. This is in contrast to the `count()`
[aggregation operator](operators.md#aggregation-operators), which
always returns a vector (an empty one if the input vector is empty) and allows
grouping by labels via a `by` clause.
## `day_of_month()`
`day_of_month(v=vector(time()) instant-vector)` returns the day of the month
@ -109,11 +101,6 @@ vector `v`, using [simple linear regression](http://en.wikipedia.org/wiki/Simple
`deriv` should only be used with gauges.
## `drop_common_labels()`
`drop_common_labels(instant-vector)` drops all labels that have the same name
and value across all series in the input vector.
## `exp()`
`exp(v instant-vector)` calculates the exponential function for all elements in `v`.

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@ -193,15 +193,13 @@ vector of fewer elements with aggregated values:
These operators can either be used to aggregate over **all** label dimensions
or preserve distinct dimensions by including a `without` or `by` clause.
<aggr-op>([parameter,] <vector expression>) [without|by (<label list>)] [keep_common]
<aggr-op>([parameter,] <vector expression>) [without|by (<label list>)]
`parameter` is only required for `count_values`, `quantile`, `topk` and
`bottomk`. `without` removes the listed labels from the result vector, while
all other labels are preserved the output. `by` does the opposite and drops
labels that are not listed in the `by` clause, even if their label values are
identical between all elements of the vector. The `keep_common` clause allows
keeping those extra labels (labels that are identical between elements, but not
in the `by` clause).
identical between all elements of the vector.
`count_values` outputs one time series per unique sample value. Each series has
an additional label. The name of that label is given by the aggregation