docs: Clarify PromQL interval changes

Signed-off-by: Owen Williams <owen.williams@grafana.com>
This commit is contained in:
Owen Williams 2025-01-14 11:32:22 -05:00
parent a3c7f72ad0
commit 8ef04882ca

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@ -60,33 +60,55 @@ 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.
For example, the following regular expressions now match the accompanying
strings, whereas in Prometheus v2 these combinations didn't match.
- `.*` additionally matches `foo\n` and `Foo\nBar` - `.*` additionally matches `foo\n` and `Foo\nBar`
- `foo.?bar` additionally matches `foo\nbar` - `foo.?bar` additionally matches `foo\nbar`
- `foo.+bar` additionally matches `foo\nbar` - `foo.+bar` additionally matches `foo\nbar`
- If you want Prometheus v3 to behave like v2, you will have to change your
regular expressions by replacing all `.` patterns with `[^\n]`, e.g. If you want Prometheus v3 to behave like v2, you will have to change your
`foo[^\n]*`. regular expressions by replacing all `.` patterns with `[^\n]`, e.g.
- Lookback and range selectors are left open and right closed (previously left `foo[^\n]*`.
closed and right closed). This change affects queries when the evaluation time
perfectly aligns with the sample timestamps. For example assume querying a ### Intervals return a predictable number of points
timeseries with evenly spaced samples exactly 1 minute apart. Before Prometheus
v3, a range query with `5m` would usually return 5 samples. But if the query Lookback and range selectors are now left-open and right-closed (previously
evaluation aligns perfectly with a scrape, it would return 6 samples. In left-closed and right-closed), which affects queries whose evaluation time
Prometheus v3 queries like this will always return 5 samples. perfectly aligns with the sample timestamps.
This change has likely few effects for everyday use, except for some subquery
use cases. For example, assume we are querying a timeseries with evenly spaced samples
Query front-ends that align queries usually align subqueries to multiples of exactly 1 minute apart. Before Prometheus v3, a range query with `5m` would
the step size. These subqueries will likely be affected. usually return 5 samples. But if the query evaluation aligns perfectly with a
Tests are more likely to affected. To fix those either adjust the expected scrape, it would return 6 samples. In Prometheus v3 queries like this will
number of samples or extend the range by less than one sample interval. always return 5 samples given even spacing.
- The `holt_winters` function has been renamed to `double_exponential_smoothing`
and is now guarded by the `promql-experimental-functions` feature flag. This change may affect subqueries that unintentionally relied on the old
If you want to keep using `holt_winters`, you have to do both of these things: behavior, because query frontends often align subqueries to multiples of the
step size. 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.
Such queries will need to be rewritten to extend the window to properly cover
more than one point. In the example above, `foo[2m:1m]` should return two points
no matter the query alignment. The exact form of the rewritten query may depend
on the intended results and the nature of the underlying data 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. - Rename `holt_winters` to `double_exponential_smoothing` in your queries.
- Pass `--enable-feature=promql-experimental-functions` in your Prometheus - Pass `--enable-feature=promql-experimental-functions` in your Prometheus
CLI invocation. CLI invocation.