* feat: add query history
* fix: change detect keyUp for nav query history
* feat: set default query history
* feat: change graph legend
* update dependencies
* update codemirror version
* fix: correct update period time after zoom/pan
* fix: optimize data processing for the graph
* fix: eliminate memory leaks related to mouse events
* fix: correct display of straight line
* Merge branch 'master' into vmui-fix-reset-graph
* app/vmselect: `make vmui-update`
Co-authored-by: Aliaksandr Valialkin <valyala@victoriametrics.com>
This removes the unneeded level of indirection and improves code readability.
The "prometheus" and "graphite" constants aren't going to change in the future, so there is no sense in hiding them behind constants.
This should improve the maximum data ingestion speed for highly-loaded vmagent instances
which run on beefy servers with many CPU cores and big amounts of RAM
Previously only the lower part of 64-bit hash was used for calculating the offset.
This may give uneven distribution in some cases. So let's use all the available 64 bits from the hash
for calculating the offset.
Prometheus allows to have groups with no rules, so we should support
it in vmalert as well for compatibility reasons.
It is also allowed to hot-reload empty groups by adding or removing rules.
Signed-off-by: hagen1778 <roman@victoriametrics.com>
Do not store in memory the response from the last scrape per each target if -promscrape.noStaleMarkers option is enabled.
This should reduce memory usage when the scraped targets return large responses.
Previously, ID for alert entity was generated without alertname or groupname.
This led to collision, when multiple alerting rules within the same group
producing same labelsets. E.g. expr: `sum(metric1) by (job) > 0` and
expr: `sum(metric2) by (job) > 0` could result into same labelset `job: "job"`.
The issue affects only UI and Web API parts of vmalert, because alert ID is used
only for displaying and finding active alerts. It does not affect state restore
procedure, since this label was added right before pushing to remote storage.
The change now adds all extra labels right after receiving response from the datasource.
And removes adding extra labels before pushing to remote storage.
Additionally, change introduces a new flag `Restored` which will be displayed in UI
for alerts which have been restored from remote storage on restart.
* feat: add query history
* fix: change detect keyUp for nav query history
* feat: set default query history
* app/vmselect/vmui: `make vmui-update`
Co-authored-by: Aliaksandr Valialkin <valyala@victoriametrics.com>
Commit fixes potential race condition when group update
and generating of ID() happens simultaneously.
Signed-off-by: hagen1778 <roman@victoriametrics.com>
Regression was introduced during code refactoring. It potentially
could lead to situation when SIGHUP signals were ignored while
vmalert was still busy with initing group manager.
Signed-off-by: hagen1778 <roman@victoriametrics.com>
The extra `/` may cause issues when additional path prefixes
are configured. Also, removing it makes it consistent
with the rest of declarations.
Signed-off-by: hagen1778 <roman@victoriametrics.com>
vmctl: properly convert influx bools into integer representation
When using vmctl influx, the import would fail importing boolean fields
with:
```
failed to convert value "some".0 to float64: unexpected value type true
```
This converts `true` to `1` and `false` to `0`.
Fixes#1709
Sort series by a hash calculated from the series labels. This should guarantee "random" selection of the returned time series.
Previously the selection could be biased, since time series were sorted alphabetically by label names and label values.
This allows sending staleness marks and properly calculate scrape_series_added metric in stream parsing mode
at the cost of the increased memory usage, since now the potentially big response is kept
in the lastScrape byte slice per each scrapeWork.
In practice the memory usage increase shouldn't be big, since the response size
is usually much smaller than the parsed metrics from this response after the relabeling,
which usually adds a big pile of target-specific labels per each metric.