Previously per-token hashes for per-block bloom filters were re-calculated on every scanned block.
This could be slow when the number of tokens is big or when the number of blocks to scan is big.
Pre-calculate hashes for bloom filters and then use them for searching in bloom filters.
This improves performance by 2.5x for in(...) filters with many values to search inside `in()`.
Previous bugfix at 49f63b2 only partially fixed pagination host validation error.
Before this fix it was:
```
unexpected nextLink host \"management.azure.com\", expecting \"https://management.azure.com\"
```
Now we only check the `Host` without schema.
However, when Azure respond `nextLink` in `Host:Port` format, the
`nextLink` check will fail:
```
unexpected nextLink host \"management.azure.com:443\", expecting \"management.azure.com\"
```
This pull request further relaxes the checks by only checking the
`Hostname`.
---
related issue: https://github.com/VictoriaMetrics/VictoriaMetrics/issues/6912
This patch reverts 1fd3385
After discussing it we've come to conclusion that this is a valid
behavior which can be avoided by deleting the time series only once the
corresponding stale NaNs have been received.
On the other hand, the fix leads to lost stale NaNs in some rare but
valid use cases. For example:
- In a cluster configuration the samples for a given time series are
normally sent to the same vmstorage replica. However, wminsert may
reroute the samples to another replica because the original one is down
or is overloaded. In this case the stale NaN may end up on a replica
that has no data for that time series, but we still want to record that
sample.
Thus, reverting that fix.
---
related issue https://github.com/VictoriaMetrics/VictoriaMetrics/issues/5069
Signed-off-by: Artem Fetishev <wwctrsrx@gmail.com>
follow up
4ecc370acb
### 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/).
Previously (f1:foo OR f2:bar) was incorrectly returning `foo` token for `f1` and `bar` token for `f2`.
These tokens were used for checking against bloom filter for every data block, so the data block,
which didn't contain simultaneously `foo` token for `f1` field and `bar` token for `f2` field, was skipped.
This was incorrect, since such a block may contain logs matching the original OR filter.
The fix is to return common tokens from `OR`-delimted filters only if these tokens exist at EVERY such filter
for the given field name. If some `OR`-delimited filter misses the given field name, then `OR`-delimited filters
do not contain common tokens, which could be used for checking against bloom filter.
While at it, add more tests covering various edge cases for filters delimited by AND and OR.
Updates https://github.com/VictoriaMetrics/VictoriaMetrics/issues/6554
Updates https://github.com/VictoriaMetrics/VictoriaMetrics/pull/6556
Commit adds the following changes:
* Adds support of OpenTelemetry logs for Victoria Logs with protobuf encoded messages
* json encoding is not supported for the following reasons:
- It brings a lot of fragile code, which works inefficiently.
- json encoding is impossible to use with language SDK.
* splits metrics and logs structures at lib/protoparser/opentelemetry/pb package.
* adds docs with examples for opentelemetry logs.
---
Related issue: https://github.com/VictoriaMetrics/VictoriaMetrics/issues/4839
Co-authored-by: AndrewChubatiuk <andrew.chubatiuk@gmail.com>
Co-authored-by: f41gh7 <nik@victoriametrics.com>
fix#6554
andfilter shouldn't return orfilter field which result in bloomfilter
return false.
---------
Co-authored-by: hagen1778 <roman@victoriametrics.com>
### Describe Your Changes
This is a follow-up PR: Unit tests introduced in #6872 can now use
RowsAddedTotal counter whose scope was fixed in #6841.
### 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>
### Describe Your Changes
fsync() ensures that the data is written to disk. In production this is
needed for data durability. However, during the development, when the
unit tests are run, this level of durability is not needed. Therefore
fsync() can be disabled which will makes test runs two times faster.
The disabling is done by setting the `DISABLE_FSYNC_FOR_TESTING`
environment variable. The valid values for this variable are the same as
the values of the arg of `go doc strconv.ParseBool`:
```
1, t, T, TRUE, true, True, 0, f, F, FALSE, false, False.
```
Any other value means `false`.
The variable is set for all test build targets. Compare running times:
Build Target | DISABLE_FSYNC_FOR_TESTING=0 | DISABLE_FSYNC_FOR_TESTING=1
----------------- | ------------------------------------------------ |
-------------------------------------------------
make test | 1m5s | 0m22s
make test-race | 3m1s | 1m42s
make test-pure | 1m7s | 0m20s
make test-full | 1m21s | 0m32s
make test-full-386 | 1m42s | 0m36s
When running tests for a given package, fsync can be disabled as
follows:
```shell
DISABLE_FSYNC_FOR_TESTING=1 go test ./lib/storage
```
Disabling fsync() is intended for testing purposes only and the name of
the variables reflects that.
What could also have been done but haven't:
- lib/filestream/filestream.go: `Writer.MustFlush()` also uses f.Sync()
but nothing has been done to it, because the Writer.MustFlush() is not
used anywhere in the VM codebase. A side question: what is the general
policy for the unused code?
- lib/filestream/filestream.go: Writer.Write() calls `adviceDontNeed()`
which calls unix.Fdatasync(). Disabling it could potentially improve
running time, but running tests with this code disabled has shown
otherwise.
### 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>
Previously, some extIndexDB metrics were not registered. It resulted
into missing metrics, if metric value was added to the extIndexDB. It's
a usual case for search requests at both indexes.
Current commit updates all metrics from extIndexDB according to the
current IndexDB. It must fix such cases
Related issue:
https://github.com/VictoriaMetrics/VictoriaMetrics/issues/6868
### 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/).
`TL;DR` This PR improves the metric IDs search in IndexDB:
- Avoid seaching for metric IDs twice when `maxMetrics` limit is
exceeded
- Use correct error type for indicating that the `maxMetrics` limit is
exceded
- Simplify the logic of deciding between per-day and global index search
A unit test has been added to ensure that this refactoring does not
break anything.
---
Function calls before the fix:
```
idb.searchMetricIDs
|__ is.searchMetricIDs
|__ is.searchMetricIDsInternal
|__ is.updateMetricIDsForTagFilters
|__ is.tryUpdatingMetricIDsForDateRange
| |
|__ is.getMetricIDsForDateAndFilters
```
- `searchMetricIDsInternal` searches metric IDs for each filter set. It
maintains a metric ID set variable which is updated every time the
`updateMetricIDsForTagFilters` function is called. After each successful
call, the function checks the length of the updated metric ID set and if
it is greater than `maxMetrics`, the function returns `too many
timeseries` error.
- `updateMetricIDsForTagFilters` uses either per-day or global index to
search metric IDs for the given filter set. The decision of which index
to use is made is made within the `tryUpdatingMetricIDsForDateRange`
function and if it returns `fallback to global search` error then the
function uses global index by calling `getMetricIDsForDateAndFilters`
with zero date.
- `tryUpdatingMetricIDsForDateRange` first checks if the given time
range is larger than 40 days and if so returns `fallback to global
search` error. Otherwise it proceeds to searching for metric IDs within
that time range by calling `getMetricIDsForDateAndFilters` for each
date.
- `getMetricIDsForDateAndFilters` searches for metric IDs for the given
date and returns `fallback to global search` error if the number of
found metric IDs is greater than `maxMetrics`.
Problems with this solution:
1. The `fallback to global search` error returned by
`getMetricIDsForDateAndFilters` in case when maxMetrics is exceeded is
misleading.
2. If `tryUpdatingMetricIDsForDateRange` proceeds to date range search
and returns `fallback to global search` error (because
`getMetricIDsForDateAndFilters` returns it) then this will trigger
global search in `updateMetricIDsForTagFilters`. However the global
search uses the same maxMetrics value which means this search is
destined to fail too. I.e. the same search is performed twice and fails
twice.
3. `too many timeseries` error is already handled in
`searchMetricIDsInternal` and therefore handing this error in
`updateMetricIDsForTagFilters` is redundant
4. updateMetricIDsForTagFilters is a better place to make a decision on
whether to use per-day or global index.
Solution:
1. Use a dedicated error for `too many timeseries` case
2. Handle `too many timeseries` error in `searchMetricIDsInternal` only
3. Move the per-day or global search decision from
`tryUpdatingMetricIDsForDateRange` to `updateMetricIDsForTagFilters` and
remove `fallback to global search` error.
---------
Signed-off-by: Artem Fetishev <wwctrsrx@gmail.com>
Co-authored-by: Nikolay <nik@victoriametrics.com>
Once the timeseries is in tsidCache, new entries won't be created in
per-day index because the RegisterMetricNames() code does consider
different dates for the same timeseries. So this case has been added.
The same bug exists for AddRows() but it is not manifested because the
index entries are finally created in updatePerDateData().
RegisterMetricNames also updated to increase the newTimeseriesCreated
counter because it actually creates new time series in index.
A unit tests has been added that check all possible data patterns
(different metric names and dates) and code branches in both
RegisterMetricNames and AddRows. The total number of new unit tests is
around 100 which increaded the running time of storage tests by 50%.
---------
Signed-off-by: Artem Fetishev <wwctrsrx@gmail.com>
Co-authored-by: Roman Khavronenko <hagen1778@gmail.com>
### Describe Your Changes
Reduced the scope of rowsAddedTotal variable from global to Storage.
This metric clearly belongs to a given Storage object as it counts the
number of records added by a given Storage instance.
Reducing the scope improves the incapsulation and allows to reset this
variable during the unit tests (i.e. every time a new Storage object is
created by a test, that object gets a new variable).
Signed-off-by: Artem Fetishev <wwctrsrx@gmail.com>
In the previous commit 8958cecad6
the default ports (80/443) were removed for both the `scrapeURL` and
`instance` label values for those targets without a port in
`__address__`. Different values in the `instance` label generate new
time series.
This commit reverts the changes made to the `instance` label. Now,
for those targets:
- `scrapeURL` will remain unchanged.
- The `instance` label value will include the default port.
https://github.com/VictoriaMetrics/VictoriaMetrics/issues/6792
* Adds custom dial func for HTTP-Connect and socks5 proxy tunnels.
Standard golang http.transport exposes GetProxyConnectHeader function,
but it doesn't allow to use separate tls config for proxy.
It also not possible to enforce HTTP-Connect with standard http lib.
* For http scrape targets, by default http.Transport.Proxy function must
be used. Since it has special case with full uri forward.
* Adds proxy.URL json methods that allow to properly copy internal
fields, like User/Password.
It should fix bug with proxy_url. When credentials specified at URL was
ignored.
* Adds tests for scrape client proxy requests
related issue https://github.com/VictoriaMetrics/VictoriaMetrics/issues/6771
* It was necessary to add default ports for fasthttp client. After migration to the std.httpclient it's no longer needed.
* An additional configuration is required at proxy servers with implicitly set 80/443 ports to the host header (such as HA proxy.
It's expected that after upgrade __address_ label may change. But it should be rare case. 80/443 ports are not widely used at monitoring ecosystem. And it shouldn't have much impact.
Related issue https://github.com/VictoriaMetrics/VictoriaMetrics/issues/6792
Co-authored-by: Nikolay <nik@victoriametrics.com>
…eep_metric_names` options in stream aggregation config together
With aggregated data and raw data under the same metric, results would
be confusing.
---------
Signed-off-by: hagen1778 <roman@victoriametrics.com>
Co-authored-by: hagen1778 <roman@victoriametrics.com>
### Describe Your Changes
This helps to improve reliability of performing backups in environments
with unreliable connection and tolerate temporary errors at S3 provider
side.
See: https://github.com/VictoriaMetrics/VictoriaMetrics/issues/6732
Default retry timeout is up to 3 minutes to make this consistent with
the same configuration for GCS:
a05317f61f/lib/backup/gcsremote/gcs.go (L70-L76)
### 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>
Before, buffer growth was always x2 of its size, which could lead to
excessive memory usage when processing big amount of data.
For example, scraping a target with hundreds of MBs in response could
result into hih memory spikes in vmagent because buffer has to double
its size to fit the response. See
https://github.com/VictoriaMetrics/VictoriaMetrics/issues/6759
The change smoothes out the growth rate, trading higher allocation rate
for lower mem usage at certain conditions.
---------
Signed-off-by: hagen1778 <roman@victoriametrics.com>
The resetState arg was used only for the BenchmarkAggregatorsFlushInternalSerial benchmark.
This benchmark was testing aggregate state flush performance by keeping the same state across flushes.
The benhmark didn't reflect the performance and scalability of stream aggregation in production,
while it led to non-trivial code changes related to resetState arg handling.
So let's drop the benchmark together with all the code related to resetState handling,
in order to simplify the code at lib/streamaggr a bit.
Thanks to @AndrewChubatiuk for the original idea at https://github.com/VictoriaMetrics/VictoriaMetrics/pull/6314
Prevsiously every aggregation output was using its own timestamp for the output aggregated samples
in a single aggregation interval. This could result in unexpected inconsitent timesetamps for the output
aggregated samples.
This commit consistently uses the same timestamp across all the output aggregated samples.
This commit makes sure that the duration between subsequent timestamps strictly equals
the configured aggregation interval.
Thanks to @AndrewChubatiuk for the original idea at https://github.com/VictoriaMetrics/VictoriaMetrics/pull/6314
This commit should help https://github.com/VictoriaMetrics/VictoriaMetrics/issues/4580
By introducing this feature, users will have the ability to customize
the sampleLimit parameter on a per-target basis, providing more
flexibility and control over the job execution behavior.
### Describe Your Changes
This is useful for clients which validate InfluxDB is available before
data ingestion can be started.
See: https://github.com/VictoriaMetrics/VictoriaMetrics/issues/6653
### 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>
Validate files specified via `-tlsKeyFile` and `-tlsCertFile` cmd-line flags on the process start-up. Previously, validation happened on the first connection accepted by HTTP server.
https://github.com/VictoriaMetrics/VictoriaMetrics/issues/6608
---------
Co-authored-by: hagen1778 <roman@victoriametrics.com>
This reverts commit e280d90e9a.
Reason for revert: the updated code doesn't improve the performance of table.MustAddRows for the typical case
when rows contain timestamps belonging to ptws[0].
The performance may be improved in theory for the case when all the rows belong to partiton other than ptws[0],
but this partition is automatically moved to ptws[0] by the code at lines
6aad1d43e9/lib/storage/table.go (L287-L298) ,
so the next time the typical case will work.
Also the updated code makes the code harder to follow, since it introduces an additional level of indirection
with non-trivial semantics inside table.MustAddRows - the partition.TimeRangeInPartition() function.
This function needs to be inspected and understood when reading the code at table.MustAddRows().
This function depends on minTsInRows and maxTsInRows vars, which are defined and initialized
many lines above the partition.TimeRangeInPartition() call. This complicates reading and understanding
the code even more.
The previous code was using clearer loop over rows with the clear call to partition.HasTimestamp()
for every timestamp in the row. The partition.HasTimestamp() call is used in the table.MustAddRows()
function multiple times. This makes the use of partition.HasTimestamp() call more consistent,
easier to understand and easier to maintain comparing to the mix of partition.HasTimestamp() and partition.TimeRangeInPartition()
calls.
Aslo, there is no need in documenting some hardcore software engineering refactoring at docs/CHANGLELOG.md,
since the docs/CHANGELOG.md is intended for VictoriaMetrics users, who may not know software engineering.
The docs/CHANGELOG.md must document user-visible changes, and the docs must be concise and clear for VictoriaMetrics users.
See https://docs.victoriametrics.com/contributing/#pull-request-checklist for more details.
Updates https://github.com/VictoriaMetrics/VictoriaMetrics/pull/6629
### Describe Your Changes
The original logic is not only highly complex but also poorly readable,
so it can be modified to increase readability and reduce time
complexity.
---------
Co-authored-by: Zhu Jiekun <jiekun@victoriametrics.com>
- Mention that credentials can be configured via env variables at both vmbackup and vmrestore docs.
- Make clear that the AZURE_STORAGE_DOMAIN env var is optional at https://docs.victoriametrics.com/vmbackup/#providing-credentials-via-env-variables
- Use string literals as is for env variable names instead of indirecting them via string constants.
This makes easier to read and understand the code. These environment variable names aren't going to change
in the future, so there is no sense in hiding them under string constants with some other names.
- Refer to https://docs.victoriametrics.com/vmbackup/#providing-credentials-via-env-variables in error messages
when auth creds are improperly configured. This should simplify figuring out how to fix the error.
- Simplify the code a bit at FS.newClient(), so it is easier to follow it now.
While at it, remove the check when superflouos environment variables are set, since it is too fragile
and it looks like it doesn't help properly configuring vmbackup / vmrestore.
- Remove envLookuper indirection - just use 'func(name string) (string, bool)' type inline.
This simplifies code reading and understanding.
- Split TestFSInit() into TestFSInit_Failure() and TestFSInit_Success(). This simplifies the test code,
so it should be easier to maintain in the future.
Updates https://github.com/VictoriaMetrics/VictoriaMetrics/pull/6518
Updates https://github.com/VictoriaMetrics/VictoriaMetrics/issues/5984
The %q formatter may result in incorrectly formatted JSON string if the original string
contains special chars such as \x1b . They must be encoded as \u001b , otherwise the resulting JSON string
cannot be parsed by JSON parsers.
This is a follow-up for c0caa69939
See https://github.com/VictoriaMetrics/victorialogs-datasource/issues/24
- Clarify the description of -graphite.sanitizeMetricName command-line flag at README.md
- Do not sanitize tag values - only metric names and tag names must be sanitized,
since they are treated specially by Grafana. Grafana doesn't apply any restrictions on tag values.
- Properly replace more than two consecutive dots with a single dot.
- Disallow unicode letters in metric names and tag names, since neither Prometheus nor Grafana
do not support them.
Updates https://github.com/VictoriaMetrics/VictoriaMetrics/pull/6489
Updates https://github.com/VictoriaMetrics/VictoriaMetrics/issues/6077
### Describe Your Changes
`Storage.AddRows()` returns an error only in one case: when
`Storage.updatePerDateData()` fails to unmarshal a `metricNameRaw`. But
the same error is treated as a warning when it happens inside
`Storage.add()` or returned by `Storage.prefillNextIndexDB()`.
This commit fixes this inconsistency by treating the error returned by
`Storage.updatePerDateData()` as a warning as well. As a result
`Storage.add()` does not need a return value anymore and so doesn't
`Storage.AddRows()`.
Additionally, this commit adds a unit test that checks all cases that
result in a row not being added to the storage.
---------
Signed-off-by: Artem Fetishev <wwctrsrx@gmail.com>
Co-authored-by: Nikolay <nik@victoriametrics.com>
- Obtain IAM token via GCE-like API instead of Amazon EC2 IMDSv2 API,
since it looks like IMDBSv2 API isn't supported by Yandex Cloud
according to https://yandex.cloud/en/docs/security/standard/authentication#aws-token :
> So far, Yandex Cloud does not support version 2, so it is strongly recommended
> to technically disable getting a service account token via the Amazon EC2 metadata service.
- Try obtaining IAM token via GCE-like API at first and then fall back to the deprecated Amazon EC2 IMDBSv1.
This should prevent from auth errors for instances with disabled GCE-like auth API.
This addresses @ITD27M01 concern at https://github.com/VictoriaMetrics/VictoriaMetrics/issues/5513#issuecomment-1867794884
- Make more clear the description of the change at docs/CHANGELOG.md , add reference to the related issue.
P.S. This change wasn't tested in prod because I have no access to Yandex Cloud.
It is recommended to test this change by @ITD27M01 and @vmazgo , who filed
the issue https://github.com/VictoriaMetrics/VictoriaMetrics/issues/5513
Updates https://github.com/VictoriaMetrics/VictoriaMetrics/pull/6524
