### Fix scrapePool name
If in the scrape file, I do some magic and manipulate the job name then
Prometheus will show scrapePool as the original job name in the targets
API, but vmagent will set it to the final value which is wrong.
example
```
job: consul-targets
...
- source_labels: [ __meta_consul_service ]
regex: (\w+)[_-]exporter
target_label: job
replacement: $1
```
curl to prom API will show
`"scrapePool": "consul-targets",`
vmagent:
`""scrapePool": "node",`
before changes:
```
curl -s 'http://localhost:8429/api/v1/targets' | jq -r '.data.activeTargets[].scrapePool'| sort|uniq
blackbox
pgbackrest
postgres
```
after changes
```
curl -s 'http://localhost:8429/api/v1/targets' | jq -r '.data.activeTargets[].scrapePool'| sort|uniq
blackbox
consul-targets
```
### Checklist
The following checks are **mandatory**:
- [x] My change adheres [VictoriaMetrics contributing
guidelines](https://docs.victoriametrics.com/contributing/).
---------
Co-authored-by: hagen1778 <roman@victoriametrics.com>
(cherry picked from commit 486b9e1c64)
### Describe Your Changes
fixes#8469
### Checklist
The following checks are **mandatory**:
- [ ] My change adheres [VictoriaMetrics contributing
guidelines](https://docs.victoriametrics.com/contributing/).
(cherry picked from commit c174a046e2)
This feature allows to track query requests by metric names. Tracker
state is stored in-memory, capped by 1/100 of allocated memory to the
storage. If cap exceeds, tracker rejects any new items add and instead
registers query requests for already observed metric names.
This feature is disable by default and new flag:
`-storage.trackMetricNamesStats` enables it.
New API added to the select component:
* /api/v1/status/metric_names_stats - which returns a JSON
object
with usage statistics.
* /admin/api/v1/status/metric_names_stats/reset - which resets internal
state of the tracker and reset tsid/cache.
New metrics were added for this feature:
* vm_cache_size_bytes{type="storage/metricNamesUsageTracker"}
* vm_cache_size{type="storage/metricNamesUsageTracker"}
* vm_cache_size_max_bytes{type="storage/metricNamesUsageTracker"}
Related issue:
https://github.com/VictoriaMetrics/VictoriaMetrics/issues/4458
---------
Signed-off-by: f41gh7 <nik@victoriametrics.com>
Co-authored-by: Roman Khavronenko <roman@victoriametrics.com>
Previously, opentelemetry attribute parsed added extra field names according to
golang JSON parser spec for structs:
```
struct AnyValue{
StringValue string
}
```
Was serialized into:
```
{"StringValue": "some-string"}
```
While opentelemetry-collector serializes it as
```
"some-string"
```
This commit changes this behaviour it makes parses compatible with opentelemetry-collector format. See test cases for examples.
Related issue:
https://github.com/VictoriaMetrics/VictoriaMetrics/issues/8384
Since funcs `ParseDuration` and `ParseTimeMsec` are used in vlogs,
vmalert, victoriametrics and other components, importing promutils only
for this reason makes them to export irrelevant
`vm_rows_invalid_total{type="prometheus"}` metric.
This change removes `vm_rows_invalid_total{type="prometheus"}` metric
from /metrics page for these components.
### Describe Your Changes
Please provide a brief description of the changes you made. Be as
specific as possible to help others understand the purpose and impact of
your modifications.
### Checklist
The following checks are **mandatory**:
- [ ] My change adheres [VictoriaMetrics contributing
guidelines](https://docs.victoriametrics.com/contributing/).
---------
Signed-off-by: hagen1778 <roman@victoriametrics.com>
(cherry picked from commit 63f6ac3ff8)
Fix parsing of IPv6 addresses after discovery. Previously, it could lead
to target being discovered and discarded afterwards.
See: https://github.com/VictoriaMetrics/VictoriaMetrics/issues/8374
---------
Signed-off-by: Zakhar Bessarab <z.bessarab@victoriametrics.com>
(cherry picked from commit 99de272b72)
`MustParsePromMetrics` imports `lib/protoparser/prometheus`, and this
package exposes the following metrics:
```
vm_protoparser_rows_read_total{type="promscrape"}
vm_rows_invalid_total{type="prometheus"}
```
It means every package that uses `lib/prompbmarshal` will start exposing
these metrics. For example, vlogs imports `lib/protoparser/common` which
uses `lib/prompbmarshal.Label`. And only because of this vlogs starts
exposing unrelated prometheus metrics on /metrics page.
Moving `MustParsePromMetrics` to `lib/protoparser/prometheus` seems like
the leas intrusive change.
-----------
Depends on another change
https://github.com/VictoriaMetrics/VictoriaMetrics/pull/8403
Signed-off-by: hagen1778 <roman@victoriametrics.com>
Previously, if indexDB search failed for some reason during search at previous indexDB (aka extDB), VictoriaMetrics stored empty search result at cache. It could cause incorrect search results at subsequent requests.
This commit checks search error and stores request results only on success.
Related issue:
https://github.com/VictoriaMetrics/VictoriaMetrics/issues/8345
For example, `field:~".+"`, `field:~".*"` or `field:""`
Replace such filters to faster ones. For example, `field:~".*"` is replaced with `*`,
while `field:~".+"` is replaced with `field:*`.
These filters can be used for selecting logs where one field value is less than another field value.
These filter complement `<=` and `<` filters for constant literals.
(cherry picked from commit 30974e7f3f)
This allows using different intervals for flushing in-memory data among different mergeset.Table instances.
The initial user of this feature is lib/logstorage.Storage, which explicitly passes Storage.flushInterval
to every created mereset.Table instance. Previously mergeset.Table instances were using 5 seconds
flush interval, which didn't depend on the Storage.flushInterval.
Updates https://github.com/VictoriaMetrics/VictoriaMetrics/issues/4775
Make sure that the maximum log field name, which can be generated by JSONParser.ParseLogMessage,
doesn't exceed the hardcoded limit maxFieldNameSize. Stop flattening of nested JSON objects
when the resulting field name becomes longer than maxFieldNameSize, and return the nested JSON object
as a string instead.
This should prevent from parse errors when ingesting deeply nested JSON logs with long field names.
- `contains_any` selects logs with fields containing at least one word/phrase from the provided list.
The provided list can be generated by a subquery.
- `contains_all` selects logs with fields containing all the words and phrases from the provided list.
The provided list can be generated by a subquery.
Examples:
- `top 5 x, y` is equivalent to `top 5 by (x, y)`
- `uniq foo, bar` is equivalent to `uniq by (foo, bar)`
- `unroll foo, bar` is equivalent to `unroll (foo, bar)`
_time:<=max_time filter must include logs with timestamps matching max_time.
For example, _time:<=2025-02-24Z must include logs with timestamps until the end of February 24, 2025.
Examples:
_time:>=2025-02-24Z selects logs with timestamps bigger or equal to 2025-02-24 UTC
_time:>1d selects logs with timestamps older than one day comparing to the current time
This simplifies writing queries with _time filters.
See https://docs.victoriametrics.com/victorialogs/logsql/#time-filter
Inside PARAM-VALUE, the characters '"' (ABNF %d34), '\' (ABNF %d92),
and ']' (ABNF %d93) MUST be escaped. This is necessary to avoid
parsing errors. Escaping ']' would not strictly be necessary but is
REQUIRED by this specification to avoid syslog application
implementation errors. Each of these three characters MUST be
escaped as '\"', '\\', and '\]' respectively. The backslash is used
for control character escaping for consistency with its use for
escaping in other parts of the syslog message as well as in traditional syslog.
Related RFC:
https://datatracker.ietf.org/doc/html/rfc5424#section-6.3.3
Related issue:
https://github.com/VictoriaMetrics/VictoriaMetrics/issues/8282
### Describe Your Changes
By default, stream aggregation and deduplication stores a single state
per each aggregation output result.
The data for each aggregator is flushed independently once per
aggregation interval. But there's no guarantee that
incoming samples with timestamps close to the aggregation interval's end
will get into it. For example, when aggregating
with `interval: 1m` a data sample with timestamp 1739473078 (18:57:59)
can fall into aggregation round `18:58:00` or `18:59:00`.
It depends on network lag, load, clock synchronization, etc. In most
scenarios it doesn't impact aggregation or
deduplication results, which are consistent within margin of error. But
for metrics represented as a collection of series,
like
[histograms](https://docs.victoriametrics.com/keyconcepts/#histogram),
such inaccuracy leads to invalid aggregation results.
For this case, streaming aggregation and deduplication support mode with
aggregation windows for current and previous state. With this mode,
flush doesn't happen immediately but is shifted by a calculated samples
lag that improves correctness for delayed data.
Enabling of this mode has increased resource usage: memory usage is
expected to double as aggregation will store two states
instead of one. However, this significantly improves accuracy of
calculations. Aggregation windows can be enabled via
the following settings:
- `-streamAggr.enableWindows` at [single-node
VictoriaMetrics](https://docs.victoriametrics.com/single-server-victoriametrics/)
and [vmagent](https://docs.victoriametrics.com/vmagent/). At
[vmagent](https://docs.victoriametrics.com/vmagent/)
`-remoteWrite.streamAggr.enableWindows` flag can be specified
individually per each `-remoteWrite.url`.
If one of these flags is set, then all aggregators will be using fixed
windows. In conjunction with `-remoteWrite.streamAggr.dedupInterval` or
`-streamAggr.dedupInterval` fixed aggregation windows are enabled on
deduplicator as well.
- `enable_windows` option in [aggregation
config](https://docs.victoriametrics.com/stream-aggregation/#stream-aggregation-config).
It allows enabling aggregation windows for a specific aggregator.
### Checklist
The following checks are **mandatory**:
- [ ] My change adheres [VictoriaMetrics contributing
guidelines](https://docs.victoriametrics.com/contributing/).
---------
Signed-off-by: hagen1778 <roman@victoriametrics.com>
Co-authored-by: hagen1778 <roman@victoriametrics.com>
(cherry picked from commit c8fc903669)
Signed-off-by: hagen1778 <roman@victoriametrics.com>
A follow-up after 9bb5ba5d2f
that impacted compression ratio for data compressed with native GO zstd lib (`make test-pure`).
Signed-off-by: hagen1778 <roman@victoriametrics.com>
(cherry picked from commit 38bded4e58)
It has been appeared these optimizatios do not give measurable performance improvements,
while they complicate the code too much and may result in slowdown when the ingested logs have
different sets of fields.
This is a follow-up for 630601488e
(cherry picked from commit dce5eb88d3)
It has been appeared that 256 files increase RAM usage too much comparing to 128 files
when ingesting logs with hundreds of fields (aka wide events). So let's return back 128 files
limit for now.
This is a follow-up for 9bb5ba5d2f
(cherry picked from commit a50ab10998)
There is little sense in keeping too big buffers - they just waste RAM and do not reduce
the load on GC too much. So it is better dropping such buffers at Reset instead of keeping them around.
(cherry picked from commit b58e2ab214)
The number of filestream readers is proportional to the number of parts to be merged,
while the number of filestream writers is proportional to the number of concurrent merges.
Usually around 4-16 parts are merged at once, so the number of active filestream readers is ~8x
bigger than the number of active filestream writers.
So it is a good idea to use smaller size of read buffers comparing to the size of write buffers.
Limit read buffer size by 64Kb, while write buffer size is limited by 128Kb.
This should reduce the overall memory usage when merging parts with big number of files.
This is the case for VictoriaLogs, which works with logs containing hundreds of fields (aka wide events).
(cherry picked from commit 659251beaa)
This should improve query performance for logs with hundreds of fields (aka wide events).
Previously there was a high chance that the data for multiple log fields is stored in the same file.
This could result in query performance slowdown and/or increased disk read IO,
since the operating system could read unnecessary data for the fields, which aren't used in the query.
Now log fields are guaranteed to be stored in separate files until the number of fields exceeds 256.
After that multiple log fields start sharing files.
(cherry picked from commit 9bb5ba5d2f)
