- Clarify docs for `Ignore aggregation intervals on start` feature.
- Make more clear the code dealing with ignoreFirstIntervals at aggregator.runFlusher() functions.
It is better from readability and maintainability PoV using distinct a.flush() calls
for distinct cases instead of merging them into a single a.flush() call.
- Take into account the first incomplete interval when tracking the number of skipped aggregation intervals,
since this behaviour is easier to understand by the end users.
Updates https://github.com/VictoriaMetrics/VictoriaMetrics/pull/6137
### Describe Your Changes
Added flag to sanitize graphite metrics
fixes#6077
### 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>
### Describe Your Changes
- added stale metrics counters for input and output samples
- added labels for aggregator metrics =>
`name="{rwctx}:{aggrId}:{aggrSuffix}"`
- rwctx - global or number starting from 1
- aggrid - aggregator id starting from 1
- aggrSuffix - <interval>_(by|without)_label1_label2_labeln
e.g: `name="global:1:1m_without_instance_pod"`
### 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>
The set of log fields in the found logs may differ from the set of log fields present in the log stream.
So compare only the log fields in the found logs when searching for the matching log entry in the log stream.
While at it, return _stream field in the delimiter log entry, since this field is used by VictoriaLogs Web UI
for grouping logs by log streams.
### Describe Your Changes
Fix Date metricid cache consistency under concurrent use.
When one goroutine calls Has() and does not find the cache entry in the
immutable map it will acquire a lock and check the mutable map. And it
is possible that before that lock is acquired, the entry is moved from
the mutable map to the immutable map by another goroutine causing a
cache miss.
The fix is to check the immutable map again once the lock is acquired.
### Checklist
The following checks are **mandatory**:
- [x ] My change adheres [VictoriaMetrics contributing
guidelines](https://docs.victoriametrics.com/contributing/).
---------
Signed-off-by: Artem Fetishev <wwctrsrx@gmail.com>
Co-authored-by: Nikolay <nik@victoriametrics.com>
The TryParseTimestampRFC3339Nano() must properly parse RFC3339 timestamps with timezone offsets.
While at it, make tryParseTimestampISO8601 function private in order to prevent
from improper usage of this function from outside the lib/logstorage package.
Updates https://github.com/VictoriaMetrics/VictoriaMetrics/issues/6508
Reason for revert: this commit doesn't resolve real security issues,
while it complicates the resulting code in subtle ways (aka security circus).
Comparison of two strings (passwords, auth keys) takes a few nanoseconds.
This comparison is performed in non-trivial http handler, which takes thousands
of nanoseconds, and the request handler timing is non-deterministic because of Go runtime,
Go GC and other concurrently executed goroutines. The request handler timing is even
more non-deterministic when the application is executed in shared environments
such as Kubernetes, where many other applications may run on the same host and use
shared resources of this host (CPU, RAM bandwidth, network bandwidth).
Additionally, it is expected that the passwords and auth keys are passed via TLS-encrypted connections.
Establishing TLS connections takes additional non-trivial time (millions of nanoseconds),
which depends on many factors such as network latency, network congestion, etc.
This makes impossible to conduct timing attack on passwords and auth keys in VictoriaMetrics components.
Updates https://github.com/VictoriaMetrics/VictoriaMetrics/pull/6423/files
Updates https://github.com/VictoriaMetrics/VictoriaMetrics/issues/6392
### Describe Your Changes
Fixed a small typo in a comment about the mutex inside the FastQueue
struct
### Checklist
The following checks are **mandatory**:
- [x] My change adheres [VictoriaMetrics contributing
guidelines](https://docs.victoriametrics.com/contributing/).
### Describe Your Changes
Trimming content which is loaded from an external pass leads to obscure
issues in case user-defined input contained trimmed chars. For example.
user-defined password "foo\n" will become "foo" while user will expect
it to contain a new line.
---
For example, a user defines a password which ends with `\n`. This often
happens when user Kubernetes secrets and manually encodes value as
base64-encoded string.
In this case vmauth configuration might look like:
```
users:
- url_prefix:
- http://vminsert:8480/insert/0/prometheus/api/v1/write
name: foo
username: foo
password: "foobar\n"
```
vmagent configuration for this setup will use the following flags:
```
-remoteWrite.url=http://vmauth:8427/
-remoteWrite.basicAuth.passwordFile=/tmp/vmagent-password
-remoteWrite.basicAuth.username="foo"
```
Where `/tmp/vmagent-password` is a file with `foobar\n` password.
Before this change such configuration will result in `401 Unauthorized`
response received by vmagent since after file content will become
`foobar`.
---
An example with Kubernetes operator which uses a secret to reference the
same password in multiple configurations.
<details>
<summary>See full manifests</summary>
`Secret`:
```
apiVersion: v1
data:
name: Zm9v # foo
password: Zm9vYmFy # foobar\n
username: Zm9v= # foo
kind: Secret
metadata:
name: vmuser
```
`VMUser`:
```
apiVersion: operator.victoriametrics.com/v1beta1
kind: VMUser
metadata:
name: vmagents
spec:
generatePassword: false
name: vmagents
targetRefs:
- crd:
kind: VMAgent
name: some-other-agent
namespace: example
username: foo
# note - the secret above is referenced to provide password
passwordRef:
name: vmagent
key: password
```
`VMAgent`:
```
apiVersion: operator.victoriametrics.com/v1beta1
kind: VMAgent
metadata:
name: example
spec:
selectAllByDefault: true
scrapeInterval: 5s
replicaCount: 1
remoteWrite:
- url: "http://vmauth-vmauth-example:8427/api/v1/write"
# note - the secret above is referenced as well
basicAuth:
username:
name: vmagent
key: username
password:
name: vmagent
key: password
```
</details>
Since both config target exactly the same `Secret` object it is expected
to work, but apparently the result will be `401 Unauthrized` error.
### Checklist
The following checks are **mandatory**:
- [x] My change adheres [VictoriaMetrics contributing
guidelines](https://docs.victoriametrics.com/contributing/).
---------
Signed-off-by: Zakhar Bessarab <z.bessarab@victoriametrics.com>
Signed-off-by: hagen1778 <roman@victoriametrics.com>
Co-authored-by: hagen1778 <roman@victoriametrics.com>
Check for ranged vector arguments in aggregate expressions when
`-search.disableImplicitConversion` or `-search.logImplicitConversion`
are enabled.
For example, `sum(up[5m])` will fail to execute if these flags are set.
### 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>
### Describe Your Changes
* check if `lastValue` was seen at least twice with different
timestamps. Otherwise, the difference between last timestamp and
previous timestamp could be `0` and will result into `NaN` calculation
* check if there items left in lastValue map after staleness cleanup.
Otherwise, `rate_avg` could have produce `NaN` result.
### Checklist
The following checks are **mandatory**:
- [x] My change adheres [VictoriaMetrics contributing
guidelines](https://docs.victoriametrics.com/contributing/).
---------
Signed-off-by: hagen1778 <roman@victoriametrics.com>
Previously byte slices up to 2^20 bytes (e.g. 1Mb) were cached because of a typo in the commit c14dafce43 .
This could result in increased memory usage when vmagent scrapes many regular targets, which expose
relatively small number of metrics (e.g. up to a few thousand per target) and a few large targets such as kube-state-metrics,
which expose more than 10 thousand metrics. This is common case for Kubernetes monitoring.
While at it, remove pools for very small byte slices, since they are rarely used during scraping.
- Make it in a separate goroutine, so it doesn't slow down regular intern() calls.
- Do not lock internStringMap.mutableLock during the cleanup routine, since now
it is called from a single goroutine and reads only the readonly part of the internStringMap.
This should prevent from locking regular intern() calls for new strings during cleanups.
- Add jitter to the cleanup interval in order to prevent from synchornous increase in resource usage
during cleanups.
- Run the cleanup twice per -internStringCacheExpireDuration . This should save 30% CPU time spent
on cleanup comparing to the previous code, which was running the cleanup 3 times per -internStringCacheExpireDuration .
This change fixes the following panic:
```
2024-06-04T11:16:52.899Z warn app/vmauth/auth_config.go:353 cannot discover backend SRV records for http://srv+localhost:8080: lookup localhost on 10.100.10.4:53: server misbehaving; use it literally
panic: runtime error: integer divide by zero
goroutine 9 [running]:
github.com/VictoriaMetrics/VictoriaMetrics/lib/httpserver.handlerWrapper.func1()
/Users/lhhdz/wd/projects/go/VictoriaMetrics/lib/httpserver/httpserver.go:291 +0x58
panic({0x103115100?, 0x10338d700?})
/Users/lhhdz/go/pkg/mod/golang.org/toolchain@v0.0.1-go1.22.3.darwin-arm64/src/runtime/panic.go:770 +0x124
main.getLeastLoadedBackendURL({0x0?, 0x22?, 0x1400014757b?}, 0x1400013c120?)
/Users/lhhdz/wd/projects/go/VictoriaMetrics/app/vmauth/auth_config.go:473 +0x210
main.(*URLPrefix).getBackendURL(0x140000aa080)
/Users/lhhdz/wd/projects/go/VictoriaMetrics/app/vmauth/auth_config.go:312 +0xb8
```
---------
Co-authored-by: Haley Wang <haley@victoriametrics.com>
This should reduce GC overhead when tens of millions of strings are interned (for example, during stream deduplication
of millions of active time series).
These functions are called every time `/metrics` page is scraped, so it would be great
if they could be sped up for the cases when dedupAggr tracks tens of millions of active time series.
- Use bytesutil.InternString() instead of strings.Clone() for inputKey and outputKey in aggregatorpushSamples().
This should reduce string allocation rate, since strings can be re-used between aggrState flushes.
- Reduce memory allocations at dedupAggrShard by storing dedupAggrSample by value in the active series map.
- Remove duplicate call to bytesutil.InternBytes() at Deduplicator, since it is already called inside dedupAggr.pushSamples().
- Add missing string interning at rateAggrState.pushSamples().
Updates https://github.com/VictoriaMetrics/VictoriaMetrics/pull/6402
The main change is getting rid of interning of sample key. It was
discovered that for cases with many unique time series aggregated by
vmagent interned keys could grow up to hundreds of millions of objects.
This has negative impact on the following aspects:
1. It slows down garbage collection cycles, as GC has to scan all inuse
objects periodically. The higher is the number of inuse objects, the
longer it takes/the more CPU it takes.
2. It slows down the hot path of samples aggregation where each key
needs to be looked up in the map first.
The change makes code more fragile, but suppose to provide performance
optimization for heavy-loaded vmagents with stream aggregation enabled.
---------
Signed-off-by: hagen1778 <roman@victoriametrics.com>
Co-authored-by: Aliaksandr Valialkin <valyala@victoriametrics.com>
