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Merge pull request #11404 from gberche-orange/patch-2

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docs (label_replace): illustrate use of named capturing group
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Julien Pivotto 2023-07-28 13:23:29 +02:00 committed by GitHub
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10
docs/querying/functions.md
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@ -419,11 +419,10 @@ label_join(up{job="api-server",src1="a",src2="b",src3="c"}, "foo", ",", "src1",
## `label_replace()`
For each timeseries in `v`, `label_replace(v instant-vector, dst_label string, replacement string, src_label string, regex string)`
matches the regular expression `regex` against the value of the label `src_label`. If it
matches the [regular expression](https://github.com/google/re2/wiki/Syntax) `regex` against the value of the label `src_label`. If it
matches, the value of the label `dst_label` in the returned timeseries will be the expansion
of `replacement`, together with the original labels in the input. Capturing groups in the
regular expression can be referenced with `$1`, `$2`, etc. If the regular expression doesn't
match then the timeseries is returned unchanged.
regular expression can be referenced with `$1`, `$2`, etc. Named capturing groups in the regular expression can be referenced with `$name` (where `name` is the capturing group name). If the regular expression doesn't match then the timeseries is returned unchanged.
`label_replace` acts on float and histogram samples in the same way.
@ -433,6 +432,11 @@ This example will return timeseries with the values `a:c` at label `service` and
label_replace(up{job="api-server",service="a:c"}, "foo", "$1", "service", "(.*):.*")
```
This second example has the same effect than the first example, and illustrates use of named capturing groups:
```
label_replace(up{job="api-server",service="a:c"}, "foo", "$name", "service", "(?P<name>.*):(?P<version>.*)")
```
## `ln()`
`ln(v instant-vector)` calculates the natural logarithm for all elements in `v`.