See https://github.com/VictoriaMetrics/VictoriaMetrics/issues/8072
### 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>
Co-authored-by: Aliaksandr Valialkin <valyala@victoriametrics.com>
### Describe Your Changes
optimize for
https://github.com/VictoriaMetrics/VictoriaMetrics/issues/6226
for user who set `*AuthKey` flag, they will receive new response in
body:
```go
// query arg not set
The provided authKey '' doesn't match -search.resetCacheAuthKey
// incorrect query arg
The provided authKey '5dxd71hsz==' doesn't match -search.resetCacheAuthKey
```
previously, they receive:
```
The provided authKey doesn't match -search.resetCacheAuthKey
```
### Checklist
The following checks are **mandatory**:
- [x] My change adheres [VictoriaMetrics contributing
guidelines](https://docs.victoriametrics.com/contributing/).
`doInternal` has adaptive staleness detection mechanism. It is
calculated using timestamp distance between samples in selected list of
samples. It is dynamic because VM can store signals from many sources
with different samples resolution. And while it works for most of cases,
there are edge cases for rollup functions that are comparing values
between windows: increase, increase_pure, delta.
The edge case 1.
There was a gap between series because of the missed scrape or two. In
this case staleness will trigger and increase-like functions will assume
the value they need to compare with is 0. In result, this could produce
spikes for a flappy data - see
https://github.com/VictoriaMetrics/VictoriaMetrics/issues/894 This
problem was solved by introducing a `realPrevValue` field -
1f19c167a4.
It stores the closest real sample value on selected interval and is used
for comparison when samples start after the gap.
The edge case 2.
`realPrevValue` doesn't respect staleness interval. In result, even if
gap between samples is huge (hours), the increase-like functions will
not consider it as a new series that started from 0. See
https://github.com/VictoriaMetrics/VictoriaMetrics/pull/8002.
Covering both edge cases is tricky, because `realPrevValue` has to
respect and not respect the staleness interval in the same time. In
other words, it should be able to ignore periodic missing gaps, but
reset if the gap is too big. While "too big gap" can't be figured out
empirically, I suggest using `-search.maxStalenessInterval` for this
purpose. If `-search.maxStalenessInterval` is set to 0 (default), then
`realPrevValue` ignores staleness interval. If
`-search.maxStalenessInterval` is > 0, then `realPrevValue` respects it
as a staleness interval.
### Checklist
The following checks are **mandatory**:
- [ ] My change adheres [VictoriaMetrics contributing
guidelines](https://docs.victoriametrics.com/contributing/).
---------
Signed-off-by: hagen1778 <roman@victoriametrics.com>
New version has additional checks and reduced resource consumption, so
it doesn't timeout for our internal repos.
To make linter happy, I addressed "redefinition of the built-in
function" lint error.
----
Signed-off-by: hagen1778 <roman@victoriametrics.com>
When vmselect process a rollup function it fetches all the raw samples
on requested `start-end` interval of the query. It then loops through
the raw samples, picks the range of the samples based on provided `step`
interval and invokes a rollup function for each of the picked ranges of
samples.
During this processing, vmselect always populates the `realPrevValue`
field with the closest previous raw sample value before the picked range
of samples. This `realPrevValue` is used by rollup functions like
increase_pure or delta to decide whether the counter change happened or
not. For example, we get the counter value == 1. If we've seen this
counter before and its value was also 1 - then no change happened. If we
didn't see it before, then this counter should have started with value=0
and we need to account for `1-0=1` change. All this is required to deal
with situations when scrapes are missing or `step` is too small.
However, vmselect doesn't check how "old" is the `realPrevValue`. In
other words, it doesn't respect the staleness interval when picking it.
In result, depending on the `start` and `end` params, vmselect can use
`realPrevValue` which is a couple of hours old and is unlikely to be a
temporary scrape fail. In result, some increases can be incorrectly
ingnored by vmselect.
This change makes sure that vmselect doesn't populate `realPrevValue`
with samples that are older than staleness interval.
### 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**:
- [ x ] My change adheres [VictoriaMetrics contributing
guidelines](https://docs.victoriametrics.com/contributing/).
-------------------
To reproduce, create a dataset with one metric `foo` which has samples
with value=1 on interval of couple of hours and resolution 15s, and a
gap for an hour in the middle:
<img width="769" alt="image"
src="https://github.com/user-attachments/assets/a39b2740-b741-45f8-ad18-093b7c57c3b3"
/>
Then run `increase(foo[1m])` expression on this time range (disable
cache):
<img width="1472" alt="image"
src="https://github.com/user-attachments/assets/463cece1-f359-4c75-a96c-60092a31cab2"
/>
In result, there will be one increase on the beginning of the series.
And no increase after the gap. Then change the time range so it starts
in the middle of the gap:
<img width="1505" alt="image"
src="https://github.com/user-attachments/assets/f4a460c3-9fd1-4ec7-ab47-15e716ec1019"
/>
Now, there is an increase>0 because the `realPrevValue` wasn't
populated. This is wrong, because it hides the increase of the series.
With the fix, the original increase query on full time range should show
2 increases:
<img width="1492" alt="image"
src="https://github.com/user-attachments/assets/aa9d8a6b-7b22-41f6-9eb9-83b3113a6982"
/>
Signed-off-by: hagen1778 <roman@victoriametrics.com>
### Describe Your Changes
Binary operations like `exprFirst op exprSecond` in VictoriaMetrics are
performed in the following way:
1. Execute exprFirst.
2. Extract **common label filters** from the result of step 1.
3. Apply these common label filters to `exprSecond` and execute it, in
order to retrieve less time series from vmstorage nodes.
In step 2, only labels with less than `100` (hard-coded) value could be
used as **common label filter** (e.g. `{common_lb=~"v1|v2|...|v100"}`.
In our scenarios, a label, take `instance` label as an example, could
has thousands of candidate values. Regarding bring more pressure to
vmstorage node, it's still beneficial if labels with more than 100
values could be used as filter in `exprSecond`, with enough vmstorage
resources. After adjusting the value from `100` to `10000`, our query
round-trip time drops significantly from 5s to 2s.
This pull request change the hard-coded value into a configurable flag.
### Describe Your Changes
Parse cache is a pretty simple implementation of cache. It's just a
standard map with mutex.
Map with mutex overall has poor performance, plus when the cache
overflow occurs, the whole cache locks until 1k elements have been
deleted (now it's 10% of 10000 max elements in the cache). To avoid this
bottleneck and improve performance of cache on systems with many CPU
cores but keep it rather simple, we can implement cache with per bucket
locks like it's done in fastcache. The logic and API remain the same. So
now each bucket will have a map with approximately 78 elements (with 128
buckets), and overflow will occur now for each bucket, and only 7
elements need to be deleted.
Because exec_test.go has about 10k lines of code, it's better to move
the cache into a separate file to add tests and benchmarks for it,
because now it does not have them.
```
goos: windows
goarch: amd64
pkg: github.com/VictoriaMetrics/VictoriaMetrics/app/vmselect/promql
cpu: 11th Gen Intel(R) Core(TM) i9-11900K @ 3.50GHz
Current cache implementation performance on 8 cores:
BenchmarkCachePutNoOverFlow-8 1932 618372 ns/op 253 B/op 0 allocs/op
BenchmarkCacheGetNoOverflow-8 6547 211527 ns/op 0 B/op 0 allocs/op
BenchmarkCachePutGetNoOverflow-8 1873 621718 ns/op 261 B/op 0 allocs/op
BenchmarkCachePutOverflow-8 2262 464328 ns/op 32 B/op 0 allocs/op
BenchmarkCachePutGetOverflow-8 1764 655866 ns/op 38 B/op 0 allocs/op
New cache implementation performance on 8 cores:
BenchmarkCachePutNoOverFlow-8 10408 111412 ns/op 0 B/op 0 allocs/op
BenchmarkCacheGetNoOverflow-8 22407 52809 ns/op 0 B/op 0 allocs/op
BenchmarkCachePutGetNoOverflow-8 6583 168088 ns/op 0 B/op 0 allocs/op
BenchmarkCachePutOverflow-8 9822 117212 ns/op 2 B/op 0 allocs/op
BenchmarkCachePutGetOverflow-8 6481 175952 ns/op 3 B/op 0 allocs/op
Current cache implementation performance on 16 cores:
BenchmarkCachePutNoOverFlow-16 2331 475307 ns/op 218 B/op 0 allocs/op
BenchmarkCacheGetNoOverflow-16 6069 196905 ns/op 0 B/op 0 allocs/op
BenchmarkCachePutGetNoOverflow-16 1870 644236 ns/op 262 B/op 0 allocs/op
BenchmarkCachePutOverflow-16 2296 509279 ns/op 34 B/op 0 allocs/op
BenchmarkCachePutGetOverflow-16 1726 671510 ns/op 45 B/op 0 allocs/op
New cache implementation performance on 16 cores:
BenchmarkCachePutNoOverFlow-16 13549 82413 ns/op 0 B/op 0 allocs/op
BenchmarkCacheGetNoOverflow-16 30274 38997 ns/op 0 B/op 0 allocs/op
BenchmarkCachePutGetNoOverflow-16 8512 126239 ns/op 0 B/op 0 allocs/op
BenchmarkCachePutOverflow-16 13884 88124 ns/op 1 B/op 0 allocs/op
BenchmarkCachePutGetOverflow-16 7903 131299 ns/op 3 B/op 0 allocs/op
```
From the benchmarks above, we can see that the new implementation is ~5
times faster than the old one.
---------
Co-authored-by: f41gh7 <nik@victoriametrics.com>
### Describe Your Changes
This PR fixes#5796. See the points 6 and 7 in `Steps to reproduce`:
> Now let's set time to only 5ms past the timestamp of the first point,
since even 199ms worked for the second point. Surprise, the point isn't
returned 💥:
>
> ```curl -s $VMQURL -d 'query=series1' -d 'time=1707123456705' -d
'step=1ms' | grep 10 # nothing!```
>
> But, 4ms works: 🤨🤔
>
> ```curl -s $VMQURL -d 'query=series1' -d 'time=1707123456704' -d
'step=1ms' | grep 10 # found```
This happens so because the actual step becomes 5ms due to jitter being
applied. THe fix is to do not apply jitter if scrape interval was not
detected (the case when vmstorage returns only one result). In this case
the scrape interval is set to `5m+step`.
An integration test has been added to check the steps to reproduce and
then to confirm that fix works. Note that the cluster tests are
currently disabled because the fix is not in cluster branch yet.
### Checklist
The following checks are **mandatory**:
- [x] My change adheres [VictoriaMetrics contributing
guidelines](https://docs.victoriametrics.com/contributing/).
---------
Signed-off-by: Artem Fetishev <rtm@victoriametrics.com>
### Describe Your Changes
- Fixes the handling of the `showLegend` flag.
- Fixes the handling of `alias`.
- Adds support for alias templates, allowing dynamic substitutions like
`{{label_name}}`.
Related issue:
https://github.com/VictoriaMetrics/VictoriaMetrics/issues/7565
### Describe Your Changes
doing similar changes for both vmagent and vminsert (like one in
https://github.com/VictoriaMetrics/VictoriaMetrics/pull/7399) ends up
with almost same implementations for each of packages instead of having
this shared code in one place. one of the reasons is the same Timeseries
and Labels structure from different prompb and prompbmarshal packages.
My proposal is to use structures from prompb package only to
marshal/unmarshal sent/received data, but for internal transformations
use only structures from prompbmarshal package
Another example, where it already can help to simplify code is streaming
aggregation pipeline for vmsingle (now it first marshals
prompb.Timeseries to storage.MetricRow and then if streaming aggregation
or deduplication is enabled it unmarshals all the series back but to
prompbmarshal.Timeseries)
### Checklist
The following checks are **mandatory**:
- [ ] My change adheres [VictoriaMetrics contributing
guidelines](https://docs.victoriametrics.com/contributing/).
Previously, for `^` aka pow function calls, VictoriaMetrics returned `1`
if left arg was Nan. For example, given query=`(hour()==2)^1` returns 1
for NaN produced by hour() == 2 function. It added additional non-exist
datapoints to the timeseries.
This commit port bugfix from `metricql` package and adds test for it.
Now, VictoriaMetrics
correctly returns `NaN` for such cases.
Related issue:
https://github.com/VictoriaMetrics/VictoriaMetrics/issues/7359
Signed-off-by: f41gh7 <nik@victoriametrics.com>
Previously it incorrectly applied xFilesFactor, if it's value equal to 0.
This commit properly handles this case and returns result according to
the graphite documentation:
`xFilesFactor follows the same semantics as in Whisper storage schemas. Setting it to 0 (the default) means that only a single value in the series needs to be non-null for it to be considered non-empty, setting it to 1 means that all values in the series must be non-null. A setting of 0.5 means that at least half the values in the series must be non-null.`
Signed-off-by: f41gh7 <nik@victoriametrics.com>
Co-authored-by: Evgeniy Negriy <einegriy@avito.ru>
### Describe Your Changes
I don't like this solution, but it works. Other possible solutions
described in an issue
fixes https://github.com/VictoriaMetrics/VictoriaMetrics/issues/7068
### 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
Add support for
https://github.com/VictoriaMetrics/VictoriaMetrics/issues/6930
Calculate `-search.maxUniqueTimeseries` by
`-search.maxConcurrentRequests` and remaining memory if it's **not set**
or **less equal than 0**.
The remaining memory is affected by `-memory.allowedPercent`,
`-memory.allowedBytes` and cgroup memory limit.
### 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>
Co-authored-by: Roman Khavronenko <roman@victoriametrics.com>
(cherry picked from commit 85f60237e2)
Signed-off-by: hagen1778 <roman@victoriametrics.com>
The purpose of this change is to reduce confusion between using
`flag.Duration` and `flagutils.Duration`. The reason is that
`flagutils.Duration` was mistakenly used for cases that required `m`
support. See
ab0d31a7b0
The change in name should clearly indicate the purpose of this data
type.
### 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
evalInstantRollup could have overreport the number of fetched series if
`offset` checks will result into retry. This change updates fetched
series only if these checks were successful.
It also adds a comment to another potential place of over-reporting
series fetched. It doesn't fix it, because it would require spending
extra resources on such a check, while discrepancy in seriesFetched
doesn't affect calculations in any way.
Probably related to
https://github.com/VictoriaMetrics/VictoriaMetrics/issues/7170
### 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>
Change the default value of the maxDeleteSeries flag to 1 million. This
is a follow up for ed5da38ede
---
Signed-off-by: Artem Fetishev <rtm@victoriametrics.com>
### Describe Your Changes
Introduce the `-search.maxDeleteSeries` flag that limits the number of
time series that can be deleted with a single
`/api/v1/admin/tsdb/delete_series` call.
Currently, any number can be deleted and if the number is big (millions)
then the operation may result in unaccounted CPU and memory usage spikes
which in some cases may result in OOM kill (see #7027). The flag limits
the number to 30k by default and the users may override it if needed at
the vmstorage start time.
---------
Signed-off-by: Artem Fetishev <rtm@victoriametrics.com>
Co-authored-by: Nikolay <nik@victoriametrics.com>
It is expected that range_first and range_last functions return non-nan const value across all the points
if the original series contains at least a single non-NaN value. Previously this rule was violated for NaN data points
in the original series. This could confuse users.
While at it, add tests for series with NaN values across all the range_* and running_* functions, in order to maintain
consistent handling of NaN values across these functions.
add command-line flag `-search.inmemoryBufSizeBytes` for configuring size of in-memory buffers used by vmselect during processing of vmstorage responses. A new summary metric `vm_tmp_blocks_inmemory_file_size_bytes` is exposed to show the size of the buffer during requests processing.
The new setting can be used by experienced users to adjust memory usage by vmselect when processing
many small read requests. Instead of allocating 4MB buffers each time, vmselect can be instructed to lower
the buffer size via `-search.inmemoryBufSizeBytes`. To make the decision whether this flag needs to be adjusted
users can consult with `vm_tmp_blocks_inmemory_file_size_bytes` which shows the actual size of buffers used
during query processing.
----------
The detailed information of this PR can be found in
https://github.com/VictoriaMetrics/VictoriaMetrics/pull/6851
### Checklist
The following checks are **mandatory**:
- [ ] My change adheres [VictoriaMetrics contributing
guidelines](https://docs.victoriametrics.com/contributing/).
---------
Co-authored-by: hagen1778 <roman@victoriametrics.com>
(cherry picked from commit cab3ef8294)
