Previously, `predict_linear` returned slightly different results comparing
to Prometheus. The change makes linear regression algorithm compatible
with Prometheus.
`deriv` was excluded from the list of functions which can adjust the time
window for the same reasons.
The fix makes the binary comparison func to check for NaNs
before executing the actual comparison. This prevents VM
to return values for non-existing samples for expressions
which contain bool comparisons. Please see added test
for example.
It appeared, that `testRowsEqual` NaN comparison was incorrect.
The fix caused some tests to fail. Please see the change and
tests updated.
Signed-off-by: hagen1778 <roman@victoriametrics.com>
Adjustment results into discrepancy between Prometheus and VM on time windows
smaller than scrape interval.
Signed-off-by: hagen1778 <roman@victoriametrics.com>
The fix will always return zero if received set of items consists of one
element only, which also means no deviation.
Signed-off-by: hagen1778 <roman@victoriametrics.com>
The change affects `count/stddev/stdvar_over_time` funcs and makes
them to return NaN instead of zero when there is no datapoints
in a time window.
This is needed for improving compatibility with Prometheus.
Signed-off-by: hagen1778 <roman@victoriametrics.com>
The removed fast path optimisations weren't consistent with
`quantile` function behavior and results into discrepancy.
Specifically, results didn't match in cases when:
* 0 < phi > 1;
* values contain only one element.
Signed-off-by: hagen1778 <roman@victoriametrics.com>
* app/vmselect: `quantile` func compatiblity with Prometheus
The `quantile` func was previously calculated by https://github.com/valyala/histogram
package. The result of such calculation was always the closest real value to
requested quantile. While in Prometheus implementation interpolation is used.
Such difference may result into discrepancy in output between Prometheus and
VictoriaMetrics.
This commit adds a Prometheus-like `quantile` function. It also used by other
functions which depend on it, such as `quantiles`, `quantile_over_time`, `median` etc.
https://github.com/VictoriaMetrics/VictoriaMetrics/issues/1625
Signed-off-by: hagen1778 <roman@victoriametrics.com>
* app/vmselect: `quantile` review fixes
* quantile functions were split into multiple to provide
different API for already sorted data;
* float64sPool is used for reducing allocations. Items in pool may have
different sizes, but defining a new pool was complicates due to name collisions;
Signed-off-by: hagen1778 <roman@victoriametrics.com>
* app/vmselect: make sorting for query result similar to Prometheus
Updated sorting allows to get the order of series in result similar or equal
to what Prometheus returns.
The change is needed for compatibility reasons.
* Update app/vmselect/promql/exec_test.go
Co-authored-by: Aliaksandr Valialkin <valyala@victoriametrics.com>
`omitempty` tag resulted into skipping this param on marshaling,
which was used as a checksum for groups configuration. Since on
config reload checksums are compared before applying changes,
any change to `interval` only didn't trigger config reload.
https://github.com/VictoriaMetrics/VictoriaMetrics/issues/1641
Signed-off-by: hagen1778 <roman@victoriametrics.com>
The commit contains the following changes:
- Show vmui when requesting /graph page in order to be compatible with Prometheus datasource in Grafana.
- Properly encode query args at vmui url.
- Set the number of points on the graph to the number of horizontal pixels divided by 2. Previously it was hardcoded to 30.
- Do not save server url to persistent storage at browser, since it should be always obtained from the url.
- Run `make vmui-update` for updating vmui embedded into VictoriaMetrics.
* feat: change url params for compatible prometheus
* style: add comment for TimeParams
* fix: change get default server for single version
* fix: change function for get query string value
* vmalert: add flag to limit the max value for auto-resovle duration for alerts
The new flag `rule.maxResolveDuration` suppose to limit max value for
alert.End param, which is used by notifiers like Alertmanager for alerts auto resolve.
https://github.com/VictoriaMetrics/VictoriaMetrics/issues/1586
These actions simlify metrics filtering. For example,
- action: keep_metrics
regex: 'foo|bar|baz'
would leave only metrics with `foo`, `bar` and `baz` names, while the rest of metrics will be deleted.
The commit also makes possible to split long regexps into multiple lines. For example, the following config is equivalent to the config above:
- action: keep_metrics
regex:
- foo
- bar
- baz
New UI pages:
/ - welcome page with API handlers list;
/groups - list of all rules per group;
/alerts - list of all active alerts;
/groupID/alertID/status - status of the active alert;
The number of series per target can be limited with the following options:
* Global limit with `-promscrape.maxSeriesPerTarget` command-line option.
* Per-target limit with `max_series: N` option in `scrape_config` section.
Updates https://github.com/VictoriaMetrics/VictoriaMetrics/issues/1561
The purpose of update is to make README and flags description more
clear to the reader. Especially, show that vm-account-id flag is required
for clustered version of VM.
* vmalert: allow extra GET params in datasource package
ExtraParams will be added as GET params to every HTTP request made by datasource.
The `roundDigits` param, for example, was substituted by corresponding extra param.
* vmalert: add nocache=1 param for replay process
The `nocache=1` param is VictoriaMetrics specific parameter which prevents it
from caching and boundaries aligning for queries. We set it to avoid cache
pollution in `replay` mode and also to avoid unnecessary time range boundaries
alignment.
* vmalert: mention nocache=1 in replay description
* vmalert: fix bug with unused param
* vmalert: remove `vmalert_execution_duration_seconds` metric
The summary for `vmalert_execution_duration_seconds` metric gives no additional
value comparing to `vmalert_iteration_duration_seconds` metric.
* vmalert: update config reload success metric properly
Previously, if there was unsuccessfull attempt to reload config and then
rollback to previous version - the metric remained set to 0.
* vmalert: add Grafana dashboard to overview application metrics
* docker: include vmalert target into list for scraping
* vmalert: extend notifier metrics with addr label
The change adds an `addr` label to metrics for alerts_sent and alerts_send_errors
to identify which exact address is having issues.
The according change was made to vmalert dashboard.
* vmalert: update documentation and docker environment for vmalert's dashboard
Mention Grafana's dashboard in vmalert's README in a new section #Monitoring.
Update docker-compose env to automatically add vmalert's dashboard.
Update docker-compose README with additional info about services.
Before, metric `vm_request_duration_seconds` was update only on successful
attempts which could be misleading. For example, timeout errors on netstorage
request may be not accounted in the metric and won't be visible on dashboards.
Using `defer` statement to update the metric after query arguments validation
may improve the situation.
This option allows reducing CPU usage a bit when VictoriaMetrics is used
for collecting and processing non-Prometheus data. For example, InfluxDB line protocol, Graphite, OpenTSDB, CSV, etc.
This option can be useful when vmagent consumes too much additional memory
for staleness markers functionality and when staleness markers aren't needed.
* vmalert: allow to disable automatically added path to remote write address via disablePathAppend flag
* docs: update docs to include remoteWrite.disablePathAppend
This metric can be used for determining high saturation of every connection to remote storage with
an alerting query `rate(vmagent_remotewrite_send_duration_seconds_total) > 0.9s`.
This query triggers when a connection is satureated by more than 90%
This reverts commit 94dfcb6747a3b29a11d14e71bea21a2312bb6346.
It is better to remove staleness marks (decimal.StaleNaN) before calling rollupConfig.Do, e.g. in preFunc
Prometheus stalenss marks shouldn't be changed in removeCounterResets. Otherwise they will be converted to an ordinary NaN values,
which couldn't be removed in dropStaleNaNs() function later. This may result in incorrect calculations for rollup functions.
Updates https://github.com/VictoriaMetrics/VictoriaMetrics/issues/1526
* vmalert: expose new metrics for tracking number of produced samples during last evaluation
Two new metrics were added to track the number of samples produced during the last evaluation:
* vmalert_recording_rules_last_evaluation_samples
* vmalert_alerting_rules_last_evaluation_samples
The gauge type is used to remain consistent with Prometheus metric
`prometheus_rule_group_last_evaluation_samples` which is on the group level.
However, the counter type was considered as well.
Two metrics instead of one are used to make it easier to separate recording and
alerting rules. It is likely, number of samples produced by recording rules is
more important so people will refer to it more frequently.
The expected usage of the new metric is the following:
```
- alert: RecordingRuleReturnsEmptyResults
expr: sum(vmalert_recording_rules_last_evaluation_samples) by(recording) < 1
annotations:
summary: Recording rule {{$labels.recording}} returns empty results.
Please verify expression correctness.
```
Addresses https://github.com/VictoriaMetrics/VictoriaMetrics/issues/1494
* vmalert: rename `vmalert_alerts_error` to `vmalert_alerting_rules_error` to remain consistent with recording rules metrics
* feature: Add multitenant for vmagent
* Minor fix
* Fix rcs index out of range
* Minor fix
* Fix multi Init
* Fix multi Init
* Fix multi Init
* Add default multi
* Adjust naming
* Add TenantInserted metrics
* Add TenantInserted metrics
* fix: remove unused metrics for vmagent
* fix: remove unused metrics for vmagent
Co-authored-by: mghader <marc.ghader@ubisoft.com>
Co-authored-by: Sebastian YEPES <syepes@gmail.com>
* Rename -search.maxMetricsPointSearch to -search.maxSamplesPerQuery, so it is more consistent with the existing -search.maxSamplesPerSeries
* Move the -search.maxSamplesPerQuery from vmstorage to vmselect, so it could effectively limit the number of raw samples obtained from all the vmstorage nodes
* Document the -search.maxSamplesPerQuery in docs/CHANGELOG.md
* fix: move request button to server input
* feat: add switch for query autocomplete
* refactor: rename state for popover open
* feat: add detect os by userAgent
* fix: change hotkey to run query for mac
* fix: change detect mac os
* fix: change div to span inside Typography
Co-authored-by: yury <yurymolodov@victoriametrics.com>
This should improve the readability and usefullness of the /api/v1/status/top_queries when debugging slow queries
or queries that take too much cpu time.
- Support durations anywhere in MetricsQL queries. E.g. sum_over_time(m[1h])/1h is equivalent to sum_over_time(m[1h])/3600
- Support durations without suffix. E.g. rate(m[300]) is equivalent to rate(m[5m])
* Change default value of '-remoteWrite.queues' to cgroup.AvailableCPUS() * 2 to reduce scrape interval
Default value of vmagent option '-remotewrite.queues' is 4 and default
size of vmagent ScheudleUnmarshalWorkers is number of CPUs, when available
CPUs is much greater than 4, e.g 32, worker are competing push queues
which will increase scrape interval and may cause scrape timeout.
* Update README and flag description
Co-authored-by: xiaozy <xiaozy01@fenbi.com>
Due to staleness handling, increase_pure were using incorrect previous value
during calculation in cases where series disappears for period longer
than staleness period and then returns back. The fix suppose to account
for a real datapoint value before staleness takes place. The fix should
remove unexpected spikes while using `increase_pure` for staled series.
This panic can be raised by the reverseProxy on aborted request to the backend.
So handle it (e.g. suppress) at reverseProxy.ServeHTTP call.
Do not suppress the panic at lib/httpserver generic HTTP handler,
since it may result in an inconsistent state left after the panicking handler.
Updates https://github.com/VictoriaMetrics/VictoriaMetrics/issues/1353
* vmalert: fix mistake with object reuse while parsing response
During the refactoring, the wrong optimisations was applied in
parse function which caused metric fields reset. The change removes
optimisation.
https://github.com/VictoriaMetrics/VictoriaMetrics/issues/1369
* vmalert: add test to cover multiple metrics in one response
* vmalert: support rules backfilling (aka `replay`)
vmalert can `replay` configured rules in the past
and backfill results via remote write protocol.
It supports MetricsQL/PromQL storage as data source,
and can backfill data to remote write compatible
storage.
Supports recording and alerting rules `replay`. See more
details in README.
https://github.com/VictoriaMetrics/VictoriaMetrics/issues/836
* vmalert: review fixes
* vmalert: readme fixes
* new feature: relabel logging
Use scrape_configs[x].relabel_debug = true to log metric names inkl.
labels before and after relabeling. After relabeling related metrics
get dropped, i.e. not submitted to servers.
* vminsert wants relabel logging, too.
New flag `-rule.configCheckInterval` defines how often `vmalert` will re-read
config file. If it detects any changes, the config will be reloaded.
This behaviour is turned off by default.
https://github.com/VictoriaMetrics/VictoriaMetrics/issues/512
The new setting `extra_filter_labels` may be assigned to group.
If it is, then all rules within a group will automatically filter
for configured labels. The feature is well-described here
https://docs.victoriametrics.com#prometheus-querying-api-enhancements
New setting is compatible only with VM datasource.
* changes vmalert query function
for prometheus rules compatibility its better to use labels as map.
it simplifies template evaluation and allow to ignore can't evaluate field error
because map will return default value.
fixes https://github.com/VictoriaMetrics/operator/issues/243
These numbers are exposed via the following metrics:
- vmagent_hourly_series_limit_current_series
- vmagent_daily_series_limit_current_series
Expose also the limits via the following metrics:
- vmagent_hourly_series_limit_max_series
- vmagent_daily_series_limit_max_series
The `::tag` type is needed in cases when field and tag names are equal, which
results into unexpected results in InfluxQL. Setting the type explicitly helps
InfluxDB to understand which exact column we apply filter to.
https://github.com/VictoriaMetrics/VictoriaMetrics/issues/1299
duplicates map helps to determine wheter extra labels has overriden
labels which make time series unique. It was using a sorted hashed
labels sequence as a key. But hashing algorithm could have collisions,
so it is more convenient to not use hashing at all.
Log message for recording rules duplicates was improved as well.
https://github.com/VictoriaMetrics/VictoriaMetrics/issues/1293
Starting from v1.56.0 VM supports `round_digits` which allows to limit
the number of digits after the decimal point in response value. The feature
can be used to reduce entropy of produced by recording rules values
and significantly improve the compression. See more details in link below.
https://github.com/VictoriaMetrics/VictoriaMetrics/issues/525
Previously, `startGroup` could exit on restore errors despite the
`remoteRead.ignoreRestoreErrors` flag value. Now vmalert checks the
flag value before deciding whether to return error or just log it.
Alerting rules now can return specific error type ErrStateRestore to indicate
whether restore state procedure failed. Such errors were returned and logged
before as well. But now user can specify whether to just log these errors
(remoteRead.ignoreRestoreErrors=true) or to stop the process
(remoteRead.ignoreRestoreErrors=false). The latter is important when VM isn't
ready yet to serve queries from vmalert and it needs to wait.
https://github.com/VictoriaMetrics/VictoriaMetrics/issues/1252
* Simplify arguments list for fn `queryDataSource` to improve readbility
* vmalert: adjust `time` param according to rule evaluation interval
With this change, vmalert will start to use rule's evaluation interval
for truncating the `time` param. This is mostly needed to produce consistent
time series with timestamps unaffected by vmalert start time. Now, timestamp
becomes predictable.
Additionally, adjustment is similar to what Grafana does for plotting range graphs.
Hence, recording rule series and recording rule expression plotted in grafana
suppose to become similar in most of cases.
