Fixes#11708.
If a range vector is fixen in time with the @ modifier, it gets still
moved around for different steps in a range query. Since no additional
points are retrieved from the TSDB, this leads to steadily emptying
the range, leading to the weird behavior described in isse #11708.
This only happens for functions listed in `AtModifierUnsafeFunctions`,
and the only of those that takes a range vector is `predict_linear`,
which is the reason why we see it only for this particular function.
Signed-off-by: beorn7 <beorn@grafana.com>
These functions act on the labels only, so don't need to go step by step
over the samples in a range query.
Signed-off-by: Bryan Boreham <bjboreham@gmail.com>
* Reusing points slice from previous series when the slice is under utilized
* Adding comments on the bench test
Signed-off-by: Alan Protasio <alanprot@gmail.com>
For instance `require.NoError` will print the unexpected error; we don't
need to include it in the message.
Signed-off-by: Bryan Boreham <bjboreham@gmail.com>
* fix(discovery/kubernetes/endpoints): react to changes on Pods because some modifications can occur on them without triggering an update on the related Endpoints (The Pod phase changing from Pending to Running e.g.).
---------
Signed-off-by: machine424 <ayoubmrini424@gmail.com>
Co-authored-by: Guillermo Sanchez Gavier <gsanchez@newrelic.com>
This alert will never return anything as the left side of the query has
the labels `[component, environment, instance, job, type]` while the
right side has `[component, environment, instance, job]`.
The `type` label was added to `prometheus_tsdb_head_samples_appended_total` in this PR but the mixin wasn't updated
for the new label: https://github.com/prometheus/prometheus/pull/11395
This was found with [pint](https://github.com/cloudflare/pint) PromQL
linting
Signed-off-by: Will Bollock <wbollock@linode.com>
One was silently doing nothing; one was doing something but the work
didn't go up linearly with iteration count.
Signed-off-by: Bryan Boreham <bjboreham@gmail.com>
The current implementation of `InternStrings` will only save memory
when the whole set of labels is identical to one already seen, and this
cannot happen in the one place it is called from in Prometheus,
remote-write, which already detects identical series.
Signed-off-by: Bryan Boreham <bjboreham@gmail.com>
Relabeling can take a pre-populated `Builder` instead of making a new
one every time. This is much more efficient.
Signed-off-by: Bryan Boreham <bjboreham@gmail.com>
This PR is a reference implementation of the proposal described in #10420.
In addition to what described in #10420, in this PR I've introduced labels.StableHash(). The idea is to offer an hashing function which doesn't change over time, and that's used by query sharding in order to get a stable behaviour over time. The implementation of labels.StableHash() is the hashing function used by Prometheus before stringlabels, and what's used by Grafana Mimir for query sharding (because built before stringlabels was a thing).
Follow up work
As mentioned in #10420, if this PR is accepted I'm also open to upload another foundamental piece used by Grafana Mimir query sharding to accelerate the query execution: an optional, configurable and fast in-memory cache for the series hashes.
Signed-off-by: Marco Pracucci <marco@pracucci.com>
Converted maps into labels.Labels to avoid a lot of copying of data which leads to very high memory consumption while opening the /service-discovery endpoint in the Prometheus UI
Signed-off-by: Leegin <114397475+Leegin-darknight@users.noreply.github.com>
Converted maps into labels.Labels to avoid a lot of copying of data which leads to very high memory consumption while opening the /service-discovery endpoint in the Prometheus UI
Signed-off-by: Leegin <114397475+Leegin-darknight@users.noreply.github.com>
Bryan Boreham