Regression was introduced at 564e6ea024
after implementing:
https://github.com/VictoriaMetrics/VictoriaMetrics/issues/6928
ctx.Labels array could be incorrectly updated and changes to it after
relabeling rules can be lost.
E.g. ctx.Labels passed to WriteDataPoint function as slice copy, but
results of relabeling only changed an actual slice at ctx.Labels.
This commit replaces implicit relabeling call with explicit
`TryPrepareLabels` function.
It also reduces code diffs with cluster version and adds integration tests
related issue:
https://github.com/VictoriaMetrics/VictoriaMetrics/issues/7865
---------
Signed-off-by: f41gh7 <nik@victoriametrics.com>
Co-authored-by: Roman Khavronenko <roman@victoriametrics.com>
Previously, time series with labels exceeding the configured limits were truncated and written to storage, potentially causing data inconsistency. This could lead to collisions between time series and make it difficult to identify the source due to truncated labels.
This commit changes the behavior:
* Such time series are now rejected outright.
* Rejected time series are logged to stdout, and corresponding counters are incremented.
* removes `vm_too_long_label_values_total`, `vm_too_long_label_names_total`, `vm_metrics_with_dropped_labels_total` metrics.
* adds new values `[too_many_labels,too_long_label_name,too_long_label_value]` to `reason` label of the `vm_rows_ignored_total` metric name
related issues:
- https://github.com/VictoriaMetrics/VictoriaMetrics/issues/6928
- https://github.com/VictoriaMetrics/VictoriaMetrics/issues/7661
Previously the -maxConcurrentInserts was limiting the number of established client connections,
which write data to VictoriaMetrics. Some of these connections could be idle.
Such connections do not consume big amounts of CPU and RAM, so there is a little sense in limiting
the number of such connections. So now the -maxConcurrentInserts command-line option
limits the number of concurrently executed insert requests, not including idle connections.
It is recommended removing -maxConcurrentInserts command-line option, since the default value
for this option should work good for most cases.
This option can be useful when samples for the same time series are ingested with distinct order of labels.
For example, metric{k1="v1",k2="v2"} and metric{k2="v2",k1="v1"}.
