We switch default alert's source link to redirect user
to vmalert's UI instead of previous JSON object. While it breaks
compatibility, it also supposed to improve user's experience.
The old behavior can be achieved by updating `-external.alert.source`
command-line flag.
Signed-off-by: hagen1778 <roman@victoriametrics.com>
Signed-off-by: hagen1778 <roman@victoriametrics.com>
The bug results in `duplicate output time series` error
because the same time series is added two times into the orderedMetricNames list
inside the tmpBlocksFileWrapper.Finalize().
While at it, properly release all the tmpBlocksFile structs on tbf.Finalize() error.
Previously only the remaining tbf entries were released. This could result in resource leak.
* Explicitly store a pointer to UserReadableError in the error interface.
Previously Go automatically converted the value to a pointer before storing in the error interface.
* Add Unwrap() method to UserReadableError, so it can be used transparently with the other code,
which calls errors.Is() and errors.As().
* Document the change in docs/CHANGELOG.md
When read query fails, VM returns rich error message with
all the details. While these details might be useful
for debugging specific cases, they're usually too verbose
for users.
Introducing a new error type `UserReadableError` is supposed
to allow to return to user only the most important parts
of the error trace. This supposed to improve error readability
in web interfaces such as VMUI or Grafana.
The full error trace is still logged with the full context
and can be found in vmselect logs.
Signed-off-by: hagen1778 <roman@victoriametrics.com>
Signed-off-by: hagen1778 <roman@victoriametrics.com>
Other components, such as `vmagent`, mark these flags as sensitive and
hide them from the `/metrics` endpoint by default. This commit adds
similar handling to the `vmalert` component, hiding them by default, to
prevent logging of secrets inappropriately.
Showing of these values is controlled by an additional flag.
Follow up to https://github.com/VictoriaMetrics/VictoriaMetrics/pull/2947
This should improve vmselect performance scalability on systems with many CPU cores.
The following tasks were done:
- Use separate temporary files for storing the data read from each vmstorage node.
This may result in the following potential issues:
- Up to N times higher memory usage for performing each query where N is the number
of vmstorage nodes known to vmselect.
This issue shouldn't increase chances of out of memory errors in most cases,
since per-query memory overhead is quite low comparing to the overall vmselect memory usage.
- Up to N times higher number of open temporary files where N is the number
of vmstorage nodes known to vmselect.
This issue should be fixed by increasing the limit on the number of open files.
- Use separate counters per each vmstorage node for various stats calculation
when reading the data from vmstorage nodes.
Previously a single syncwg.WaitGroup was used for tracking the lifetime of processBlock callbacks
across all the per-vmstorage goroutines. This could be slow on systems with many CPU cores
because of inter-CPU synchronization overhead.
Use a separate per-vmstorage sync.WaitGroup instead in order to reduce inter-CPU synchronization overhead.
This should imrpove performance for heavy queries over big number of blocks on multi-CPU systems.
vmalert can be successfully used with datasources
compatible with Prometheus HTTP API. So we remove comments or
notes in Readme which are saying opposite.
Signed-off-by: hagen1778 <roman@victoriametrics.com>
* vmselect: cover special cases for vmalert's routing in single-node version
* remove trailing `/` from requests
* redirect to vmalert's home page when `/vmalert` is requested.
Signed-off-by: hagen1778 <roman@victoriametrics.com>
* vmalert: fix review comments
Signed-off-by: hagen1778 <roman@victoriametrics.com>
* Update app/vmselect/main.go
Co-authored-by: Aliaksandr Valialkin <valyala@victoriametrics.com>
Reduce inter-CPU communications when processing the query over big number of time series.
This should improve performance for queries over big number of time series
on systems with many CPU cores.
Updates https://github.com/VictoriaMetrics/VictoriaMetrics/issues/2896
Based on b596ac3745
Thanks to @zqyzyq for the idea.
