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 7be00791ef
commit 8071cebff6

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@ -60,33 +60,53 @@ 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. ### Regexes 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 Interval selectors are now more predictable than they were previously, always
evaluation aligns perfectly with a scrape, it would return 6 samples. In returning the same number of points regardless of query alignment.
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). This change affects queries when the evaluation
Query front-ends that align queries usually align subqueries to multiples of time perfectly aligns with the sample timestamps.
the step size. These subqueries will likely be affected.
Tests are more likely to affected. To fix those either adjust the expected For example, assume we are querying a timeseries with evenly spaced samples
number of samples or extend the range by less than one sample interval. exactly 1 minute apart. Before Prometheus v3, a range query with `5m` would
- The `holt_winters` function has been renamed to `double_exponential_smoothing` usually return 5 samples. But if the query evaluation aligns perfectly with a
and is now guarded by the `promql-experimental-functions` feature flag. scrape, it would return 6 samples. In Prometheus v3 queries like this will
If you want to keep using `holt_winters`, you have to do both of these things: always return 5 samples.
This change may affect subqueries that unintentionally relied on the old
behavior. Query front-ends 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. Such queries will
need to be rewritten to extend the window to properly cover more than one point.
In this case, `foo[2m:1m]` would always return two points no matter the query
alignment.
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.