* app/vmselect/promql: properly handle possible negative results caused by float operations precision error in rollup functions like rate() or increase()
* fix test
Properly determine time range search for instant queries with too big look-behind window like `foo[100y]`.
Previously, such queries could return empty responses even if `foo` is present in database.
https://github.com/VictoriaMetrics/VictoriaMetrics/issues/5553
Signed-off-by: hagen1778 <roman@victoriametrics.com>
app/vmselect/promql/eval.go:evalAggrFunc shunts evaluation
of AggrFuncExpr over rollupFunc over MetricsExpr to an optimized
path. tryGetArgRollupFuncWithMetricExpr() checks whether expression
can be shunted, but it mangles the AggrFuncExpr when the aggregation
function has more than one argument. This results in queries like
`sum(aggr_over_time("avg_over_time",m))` failing with error message
'expecting at least 2 args to "aggr_over_time"; got 1 args' while
the analogous query `sum(avg_over_time(m))` executes successfully.
This fix removes the unnecessary mangling.
Signed-off-by: Anton Tykhyy <atykhyy@gmail.com>
Before, vmalert would send notifications with labels containing characters
not supported by Alertmanager validator, resulting into validation errors
like `msg="Failed to validate alerts" err="invalid label set: invalid name "foo.bar"`
Signed-off-by: hagen1778 <roman@victoriametrics.com>
* app/vmctl: fix panic `--remote-read-filter-time-start` flag not defined
* app/vmctl: update CHANGELOG.md
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Co-authored-by: Nikolay <nik@victoriametrics.com>
It could happen for low evaluation intervals and irregular
delays during execution that evaluation time would get
a negative offset. This could result into cumulative
discrepancy between the actual time and evaluation time for rules.
Signed-off-by: hagen1778 <roman@victoriametrics.com>
app/vmagent/remotewrite: fix vmagent panic on shutdown
Currently, when vmagent is stopping it first flushes pending series in remote write context and proceeds to stop streaming aggregation. This leads to streaming aggregation being unable to write results into pending timeseries (since it is already nil) and panic.
This can lead to losing some aggregation results being lost almost silently.
The fix is reordering flow to first stop streaming aggregation and flush all pending time series after that.
Signed-off-by: Zakhar Bessarab <z.bessarab@victoriametrics.com>
The fix addresses a case when vmalert is configured with a group
which has `name`, but doesn't have `rules` configured. In this
case it still returns a `nil` instead of `[]` slice.
Fixing this via current commit.
See https://github.com/VictoriaMetrics/VictoriaMetrics/issues/4221
Signed-off-by: hagen1778 <roman@victoriametrics.com>
(cherry picked from commit 66ed6fe62f)
* vmalert: fix nil map assignment
The storage instance with nil map params was created for remote-read purposes.
And before change 7a9ae9de0d this map was ignored in ApplyParams.
Now, it started to be used and vmalert panics in runtime.
The fix properly inits map for at `NewVMStorage` and verifies it is not nil
on assignment in `ApplyParams`.
Signed-off-by: hagen1778 <roman@victoriametrics.com>
* vmalert: add to changelog
Signed-off-by: hagen1778 <roman@victoriametrics.com>
* vmalert: properly clone Storage params
Signed-off-by: hagen1778 <roman@victoriametrics.com>
* vmalert: properly clone Storage params
Signed-off-by: hagen1778 <roman@victoriametrics.com>
* vmalert: properly clone Storage params
Signed-off-by: hagen1778 <roman@victoriametrics.com>
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Signed-off-by: hagen1778 <roman@victoriametrics.com>
(cherry picked from commit de94812088)
Signed-off-by: hagen1778 <roman@victoriametrics.com>
Without reset, labels duplicates could have been added during stream aggregation.
Since `ctx.Labels` is reused during processing of many series, each series will
add its labels to the context. Even if the same labels were already addeded on prev
iteration. Now, we reset `ctx.Labels` on each iteration to contain so labels from
different series didn't interfere.
This could have cause exceeding of the limit on number of labels per pushed time series.
https://github.com/VictoriaMetrics/VictoriaMetrics/issues/4277
Signed-off-by: hagen1778 <roman@victoriametrics.com>
* vmselect: exit early from queue on context cancel
When `-search.maxConcurrentRequests` is reached, vmselect puts
request in the queue. It is expected, that requests in the queue
will be processed as soon as it would be enough capacity to do so.
However, it could happen that while request was waiting its turn,
the client could have already cancel it (close the connection,
or just close the tab with UI). In this case, we should de-queue
such requests to avoid spending extra resources on them.
Signed-off-by: hagen1778 <roman@victoriametrics.com>
* app/vmselect: address review comments
Signed-off-by: hagen1778 <roman@victoriametrics.com>
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Signed-off-by: hagen1778 <roman@victoriametrics.com>
Properly return empty slices instead of nil for `/api/v1/rules` and `/api/v1/alerts` API handlers.
This improves compatibility with Grafana.
https://github.com/VictoriaMetrics/VictoriaMetrics/issues/4221
Signed-off-by: hagen1778 <roman@victoriametrics.com>
Improperly configured -bigMergeConcurrency command-line flag usually leads to uncontrolled
growth of unmerged parts, which, in turn, increases CPU usage and query durations.
So it is better deprecating this flag. In rare cases -smallMergeConcurrency command-line flag
can be used instead for controlling the concurrency of background merges.
There is a bug here where if you have a single bucket like:
foo{vmrange="4.084e+02...4.642e+02"} 2 123
The expected output is three le encoded buckets like:
foo{le="4.084e+02"} 0 123
foo{le="4.642e+02"} 2 123
foo{le="+Inf"} 2 123
This correctly encodes the start and end of the vmrange.
If however, the input contains the previous bucket, and that bucket is
empty then you only get the end le and +Inf out currently, i.e:
foo{vmrange="7.743e+05...8.799e+05"} 5 123
foo{vmrange="6.813e+05...7.743e+05"} 0 123
results in:
foo{le="8.799e+05"} 5 123
foo{le="+Inf"} 5 123
This causes issues when you go to compute a quantile because this means
that the assumed lower bound of the buckets is 0 and this we interpolate
between 0->end rather than the vmrange start->end as expected.
