Previously, this filter did not apply to virtual
machine scale sets, causing all virtual machines to be discovered.
This commit conditionally adds `resource_group` filter for Azure service discovery on virtual
machine scale sets.
Related issue:
https://github.com/VictoriaMetrics/VictoriaMetrics/issues/7630.
### 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, default dial timeout was used for kubernetes API server connection.
This commit changes it for custom dialer used by the all VictoriaMetrics components. It has lower connection timeout (30s by default).
Related issue:
https://github.com/VictoriaMetrics/VictoriaMetrics/issues/7127
---------
Co-authored-by: f41gh7 <nik@victoriametrics.com>
### Describe Your Changes
As of right now by default aggregated output in streaming aggregation
takes a staleness interval and only starts sending first samples after
the staleness interval passes. We have a use case where we prefer to
start sending data as soon as we have any. This adds the option to
configure when we start sending first samples
https://github.com/VictoriaMetrics/VictoriaMetrics/issues/7116
### 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>
### Describe Your Changes
Add test cases proving that it is possible to lose indexDB after
changing the retention period. See #7609
### 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>
Co-authored-by: Roman Khavronenko <roman@victoriametrics.com>
After changes at commit 787b9cd. Minimal timestamps for extDB check was performed without context of the index search prefix.
It worked fine for Single node version, but for cluster version a different prefix was used for
metricID search requests. It may lead to incomplete results, if minimal missing timestamp was cached
for the tenant with different ingestion patterns.
Minimal reproducible case is:
- metrics were ingested for tenants 0 and 1
- at some point in time metrics ingestion for tenant 1 stopped
- index records have the following timestamps layout:
tenant 0: 1,2,3,4,5,6
tenant 1: 1,2,3,4
- after indexDB rotation, containsTimeRange lookups may produce
incorrect results:
time range request for tenant 1 - 5:6 caches 5 as min timestamp
request for the same or smaller time range for tenant 0 now returns
empty results.
Second case:
- requests for the tenant without metrics always updates atomic value with incorrect minimal time range for other tenants.
This commit replaces single atomic with map of search prefix keys. It should have slight performance overhead,
but work consistently for cluster version. minMissingTimestamp is cached by prefix search key, which included tenantID.
Since it will be only populated at runtime, it doesn't hold unused tenants for queries.
Related issue:
https://github.com/VictoriaMetrics/VictoriaMetrics/issues/7417
Move the repeated check for an empty value into statsUniqValuesProcessor.updateState() function.
This allow removing duplicate code for this check from statsUniqValuesProcessor.updateState() call sites.
This eliminates possible bugs related to forgotten Query.Optimize() calls.
This also allows removing optimize() function from pipe interface.
While at it, drop filterNoop inside filterAnd.
This commit adds `metric_relabel_configs` and `relabel_configs` fields
into the `global` section of scrape configuration file.
New fields are used as global relabeling rules for the scrape targets.
These relabel configs are prepended to the target relabel configs.
This feature is useful to:
* apply global rules to __meta labels from service discovery targets.
* drop noisy labels during scrapping.
* mutate labels without affecting metrics ingested via any of push
protocols.
Related issue
https://github.com/VictoriaMetrics/VictoriaMetrics/issues/6966
---------
Signed-off-by: f41gh7 <nik@victoriametrics.com>
Co-authored-by: Zhu Jiekun <jiekun@victoriametrics.com>
Co-authored-by: hagen1778 <roman@victoriametrics.com>
### Describe Your Changes
Related issue: #7199
This is the initial version of the integration tests for cluster. See
`README.md` for details.
Currently cluster only, but it can also be used for vm-single if needed.
The code has been added to the apptest package that resides in the root
directory of the VM codebase. This is done to exclude the integration
tests from regular testing build targets because:
- Most of the test variants do not apply to integration testing (such as
pure or race).
- The integtation tests may also be slow because each test must wait for
2 seconds so vmstorage flushes pending content). It may be okay when
there are a few tests but when there is a 100 of them running tests will
require much more time which will affect the developer wait time and CI
workflows.
- Finally, the integration tests may be flaky especially short term.
An alternative approach would be placing apptest under app package and
exclude apptest from packages under test, but that is not trivial.
The integration tests rely on retrieving some application runtime info
from the application logs, namely the application's host:port. Therefore
some changes to lib/httpserver/httpserver.go were necessary, such as
reporting the effective host:port instead the one from the flag.
### 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>
(cherry picked from commit d7b3589dbd)
This msy be useful when ingesting logs from different sources, which store the log message in different fields.
For example, `_msg_field=message,event.data,some_field` will get log message from the first non-empty field:
`message`, `event.data` and `some_field`.
If the number of output (bloom, values) shards is zero, then this may lead to panic
as shown at https://github.com/VictoriaMetrics/VictoriaMetrics/issues/7391 .
This panic may happen when parts with only constant fields with distinct values are merged into
output part with non-constant fields, which should be written to (bloom, values) shards.
### Describe Your Changes
fix function name
### Checklist
The following checks are **mandatory**:
- [x] My change adheres [VictoriaMetrics contributing
guidelines](https://docs.victoriametrics.com/contributing/).
This allows reducing the amounts of data, which must be read during queries over logs with big number of fields (aka "wide events").
This, in turn, improves query performance when the data, which needs to be scanned during the query, doesn't fit OS page cache.
This improves performance of `field_values` pipe when it is applied to large number of data blocks.
This also improves performance of /select/logsql/field_values HTTP API.
It is possible for in-memory part to be empty if ingested samples are
removed by retention filters. In this case, data will not be discarded
due to retention before creating in memory part. After in-memory parts
merge samples will be removed resulting in creating completely empty
part at destination.
This commit checks for resulting part and skips it, if it's empty.
---------
Signed-off-by: Zakhar Bessarab <z.bessarab@victoriametrics.com>
This commit adds Kubernetes Native Sidecar support.
It's the special type of init containers, that have restartPolicy == "Always" and continue to run after container initialization.
related issue https://github.com/VictoriaMetrics/VictoriaMetrics/issues/7287
Related issue:
https://github.com/VictoriaMetrics/VictoriaMetrics/issues/7182
- add a separate index cache for searches which might read through large
amounts of random entries. Primary use-case for this is retention and
downsampling filters, when applying filters background merge needs to
fetch large amount of random entries which pollutes an index cache.
Using different caches allows to reduce effect on memory usage and cache
efficiency of the main cache while still having high cache hit rate. A
separate cache size is 5% of allowed memory.
- reduce size of indexdb/dataBlocks cache in order to free memory for
new sparse cache. Reduced size by 5% and moved this to a separate cache.
- add a separate metricName search which does not cache metric names -
this is needed in order to allow disabling metric name caching when
applying downsampling/retention filters. Applying filters during
background merge accesses random entries, this fills up cache and does
not provide an actual improvement due to random access nature.
Merge performance and memory usage stats before and after the change:
- before
- after
---------
Signed-off-by: Zakhar Bessarab <z.bessarab@victoriametrics.com>
This commit fixes the TestStorageRotateIndexDB flaky test reported at:
#6977. Sample test failure: https://pastebin.com/bTSs8HP1
The test fails because one goroutine adds items to the indexDB table
while another goroutine is closing that table. This may happen if
indexDB rotation happens twice during one Storage.add() operation:
- Storage.add() takes the current indexDB and adds index recods to it
- First index db rotation makes the current index DB a previous one
(still ok at this point)
- Second index db rotation removes the indexDB that was current two
rotations earlier. It does this by setting the mustDrop flag to true and
decrementing the ref counter. The ref counter reaches zero which cases
the underlying indexdb table to release its resources gracefully.
Graceful release assumes that the table is not written anymore. But
Storage.add() still adds items to it.
The solution is to increment the indexDB ref counters while it is used
inside add().
The unit test has been changed a little so that the test fails reliably.
The idea is to make add() function invocation to last much longer,
therefore the test inserts not just one record at a time but thouthands
of them.
To see the test fail, just replace the idbsLocked() func with:
```go
unc (s *Storage) idbsLocked2() (*indexDB, *indexDB, func()) {
return s.idbCurr.Load(), s.idbNext.Load(), func() {}
}
```
---------
Signed-off-by: Artem Fetishev <rtm@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>
These caches aren't expected to grow big, so it is OK to use the most simplest cache based on sync.Map.
The benefit of this cache compared to workingsetcache is better scalability on systems with many CPU cores,
since it doesn't use mutexes at fast path.
An additional benefit is lower memory usage on average, since the size of in-memory cache equals
working set for the last 3 minutes.
The downside is that there is no upper bound for the cache size, so it may grow big during workload spikes.
But this is very unlikely for typical workloads.
Partition directories can be manually deleted and copied from another sources such as backups or other VitoriaLogs instances.
In this case the persisted cache becomes out of sync with partitions. This can result in missing index entries
during data ingestion or in incorrect results during querying. So it is better to do not persist caches.
This shouldn't hurt VictoriaLogs performance just after the restart too much, since its caches usually contain
small amounts of data, which can be quickly re-populated from the persisted data.
Unpack the full columnsHeader block instead of unpacking meta-information per each individual column
when the query, which selects all the columns, is executed. This improves performance when scanning
logs with big number of fields.
- Use parallel merge of per-CPU shard results. This improves merge performance on multi-CPU systems.
- Use topN heap sort of per-shard results. This improves performance when results contain millions of entries.
