docs: clarify PromQL interval changes (#15824)

docs: Clarify PromQL interval changes

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Signed-off-by: Owen Williams <owen.williams@grafana.com>
Signed-off-by: Owen Williams <owen-github@ywwg.com>
Co-authored-by: Björn Rabenstein <beorn@grafana.com>
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@ -60,36 +60,63 @@ This document offers guidance on migrating from Prometheus 2.x to Prometheus 3.0
## PromQL ## PromQL
- The `.` pattern in regular expressions in PromQL matches newline characters. ### Regular expressions match newlines
With this change a regular expressions like `.*` matches strings that include
`\n`. This applies to matchers in queries and relabel configs. The `.` pattern in regular expressions in PromQL matches newline characters.
- For example, the following regular expressions now match the accompanying With this change a regular expressions like `.*` matches strings that include
strings, whereas in Prometheus v2 these combinations didn't match. `\n`. This applies to matchers in queries and relabel configs.
- `.*` additionally matches `foo\n` and `Foo\nBar`
- `foo.?bar` additionally matches `foo\nbar` For example, the following regular expressions now match the accompanying
- `foo.+bar` additionally matches `foo\nbar` strings, whereas in Prometheus v2 these combinations didn't match.
- If you want Prometheus v3 to behave like v2, you will have to change your - `.*` additionally matches `foo\n` and `Foo\nBar`
regular expressions by replacing all `.` patterns with `[^\n]`, e.g. - `foo.?bar` additionally matches `foo\nbar`
`foo[^\n]*`. - `foo.+bar` additionally matches `foo\nbar`
- Lookback and range selectors are left open and right closed (previously left
closed and right closed). This change affects queries when the evaluation time If you want Prometheus v3 to behave like v2, you will have to change your
perfectly aligns with the sample timestamps. For example assume querying a regular expressions by replacing all `.` patterns with `[^\n]`, e.g.
timeseries with evenly spaced samples exactly 1 minute apart. Before Prometheus `foo[^\n]*`.
v3, a range query with `5m` would usually return 5 samples. But if the query
evaluation aligns perfectly with a scrape, it would return 6 samples. In ### Range selectors and lookback exclude samples coinciding with the left boundary
Prometheus v3 queries like this will always return 5 samples.
This change has likely few effects for everyday use, except for some subquery Lookback and range selectors are now left-open and right-closed (previously
use cases. left-closed and right-closed), which makes their behavior more consistent. This
Query front-ends that align queries usually align subqueries to multiples of change affects queries where the left boundary of a range or the lookback delta
the step size. These subqueries will likely be affected. coincides with the timestamp of one or more samples.
Tests are more likely to affected. To fix those either adjust the expected
number of samples or extend the range by less than one sample interval. For example, assume we are querying a timeseries with evenly spaced samples
- The `holt_winters` function has been renamed to `double_exponential_smoothing` exactly 1 minute apart. Before Prometheus v3, a range query with `5m` would
and is now guarded by the `promql-experimental-functions` feature flag. usually return 5 samples. But if the query evaluation aligns perfectly with a
If you want to keep using `holt_winters`, you have to do both of these things: scrape, it would return 6 samples. In Prometheus v3 queries like this will
- Rename `holt_winters` to `double_exponential_smoothing` in your queries. always return 5 samples given even spacing.
- Pass `--enable-feature=promql-experimental-functions` in your Prometheus
CLI invocation. This change will typically affect subqueries because their evaluation timing is
naturally perfectly evenly spaced and aligned with timestamps that are multiples
of the subquery resolution. Furthermore, query frontends often align subqueries
to multiples of the step size. In combination, this easily creates a situation
of perfect mutual alignment, often unintended and unknown by the user, so that
the new behavior might come as a surprise. Before Prometheus V3, a subquery of
`foo[1m:1m]` on such a system might have always returned two points, allowing
for rate calculations. In Prometheus V3, however, such a subquery will only
return one point, which is insufficient for a rate or increase calculation,
resulting in No Data returned.
Such queries will need to be rewritten to extend the window to properly cover
more than one point. In this example, `foo[2m:1m]` would always return two
points no matter the query alignment. The exact form of the rewritten query may
depend on the intended results and there is no universal drop-in replacement for
queries whose behavior has changed.
Tests are similarly more likely to affected. To fix those either adjust the
expected number of samples or extend the range.
### holt_winters function renamed
The `holt_winters` function has been renamed to `double_exponential_smoothing`
and is now guarded by the `promql-experimental-functions` feature flag.
If you want to keep using `holt_winters`, you have to do both of these things:
- Rename `holt_winters` to `double_exponential_smoothing` in your queries.
- Pass `--enable-feature=promql-experimental-functions` in your Prometheus
CLI invocation.
## Scrape protocols ## Scrape protocols
Prometheus v3 is more strict concerning the Content-Type header received when Prometheus v3 is more strict concerning the Content-Type header received when