* prevent /api/v1 from panic on parsing rows
* add tests for Extract function for v1 and v2 api's
* separate request types in different pools to prevent different objects mixing
* add changelog line
543f218fe9
Signed-off-by: hagen1778 <roman@victoriametrics.com>
Co-authored-by: Andrew Chubatiuk <andrew.chubatiuk@motional.com>
Co-authored-by: Nikolay <https://github.com/f41gh7>
Co-authored-by: Roman Khavronenko <roman@victoriametrics.com>
Tests showed that importing a single line with 70MB size takes 5.3GiB
RSS memory for VictoriaMetrics single-node.
In the scenario when user exports and imports data from one VM to another,
it could possibly lead to OOM exception for destination VM.
Importing a single line with 16MB size taks 1.3GiB RSS memory.
Hence, the limit for `import.maxLineLen` was decreased from 100MB to 10MB
to improve reliability of VictoriaMetrics during imports.
Signed-off-by: hagen1778 <roman@victoriametrics.com>
Co-authored-by: Aliaksandr Valialkin <valyala@victoriametrics.com>
This case is possible after the following steps:
1. vmagent successfully performed handshake with the -remoteWrite.url and the remote storage supports zstd-compressed data.
2. remote storage became unavailable or slow to ingest data, vmagent compressed the collected data into blocks with zstd and puts these blocks to persistent queue on disk.
3. vmagent restarts and the remote storage is unavailable during the handshake, then vmagent falls back to Snappy compression.
4. vmagent starts sending zstd-compressed data from persistent queue to the remote storage, while falsely advertizing it sends Snappy-compressed data.
5. The remote storage receives zstd-compressed data and fails unpacking it with Snappy.
The solution is the same as 12cd32fd75, just fall back to zstd decompression if Snappy decompression fails.
This case is possible after the following steps:
1. vmagent tries to perform handshake with the -remoteWrite.url in order to determine whether
the remote storage supports zstd-compressed data.
2. The remote storage is unavailable during the handshake. In this case vmagent falls back to Snappy compression
for the data sent to the remote storage.
3. vmagent compresses the collected data into blocks with Snappy and puts these blocks to persistent queue on disk.
4. The remote storage becomes available.
5. vmagent restarts, performs the handshake with the remote storage and detects that it supports zstd-compressed data.
6. vmagent starts sending Snappy-compressed data from persistent queue to the remote storage,
while falsely advertizing it sends zstd-compressed data.
7. The remote storage receives Snappy-compressed data and fails unpacking it with zstd.
The solution is to just fall back to Snappy decompression if zstd decompression fails.
Updates https://github.com/VictoriaMetrics/VictoriaMetrics/issues/5301
- Make sure that invalid/missing TLS CA file or TLS client certificate files at vmagent startup
don't prevent from processing the corresponding scrape targets after the file becomes correct,
without the need to restart vmagent.
Previously scrape targets with invalid TLS CA file or TLS client certificate files
were permanently dropped after the first attempt to initialize them, and they didn't
appear until the next vmagent reload or the next change in other places of the loaded scrape configs.
- Make sure that TLS CA is properly re-loaded from file after it changes without the need to restart vmagent.
Previously the old TLS CA was used until vmagent restart.
- Properly handle errors during http request creation for the second attempt to send data to remote system
at vmagent and vmalert. Previously failed request creation could result in nil pointer dereferencing,
since the returned request is nil on error.
- Add more context to the logged error during AWS sigv4 request signing before sending the data to -remoteWrite.url at vmagent.
Previously it could miss details on the source of the request.
- Do not create a new HTTP client per second when generating OAuth2 token needed to put in Authorization header
of every http request issued by vmagent during service discovery or target scraping.
Re-use the HTTP client instead until the corresponding scrape config changes.
- Cache error at lib/promauth.Config.GetAuthHeader() in the same way as the auth header is cached,
e.g. the error is cached for a second now. This should reduce load on CPU and OAuth2 server
when auth header cannot be obtained because of temporary error.
- Share tls.Config.GetClientCertificate function among multiple scrape targets with the same tls_config.
Cache the loaded certificate and the error for one second. This should significantly reduce CPU load
when scraping big number of targets with the same tls_config.
- Allow loading TLS certificates from HTTP and HTTPs urls by specifying these urls at `tls_config->cert_file` and `tls_config->key_file`.
- Improve test coverage at lib/promauth
- Skip unreachable or invalid files specified at `scrape_config_files` during vmagent startup, since these files may become valid later.
Previously vmagent was exitting in this case.
Updates https://github.com/VictoriaMetrics/VictoriaMetrics/issues/4959
This is a follow-up for f60c08a7bd
Changes:
- Make sure all the urls related to NewRelic protocol start from /newrelic . Previously some urls were started from /api/v1/newrelic
- Remove /api/v1 part from NewRelic urls, since it has no sense
- Remove automatic transformation from CamelCase to snake_case for NewRelic labels and metric names,
since it may complicate the transition from NewRelic to VictoriaMetrics. Preserve all the metric names and label names,
so users could query metrics and labels by the same names which are used in NewRelic.
The automatic transformation from CamelCase to snake_case can be added later as a special action for relabeling rules if needed.
- Properly update per-tenant data ingestion stats at app/vmagent/newrelic/request_handler.go . Previously it was always zero.
- Fix NewRelic urls in vmagent when multitenant data ingestion is enabled. Previously they were mistakenly started from `/`.
- Document NewRelic data ingestion url at docs/Cluster-VictoriaMetrics.md
- Remove superflouos memory allocations at lib/protoparser/newrelic
- Improve tests at lib/protoparser/newrelic/*
Updates https://github.com/VictoriaMetrics/VictoriaMetrics/issues/3520
Updates https://github.com/VictoriaMetrics/VictoriaMetrics/pull/4712
* lib/promscrape: make concurrency control optional
Before, `-maxConcurrentInserts` was limiting all calls to `promscrape.Parse`
function: during ingestion and scraping. This behavior is incorrect.
Cmd-line flag `-maxConcurrentInserts` should have effect onl on ingestion.
Since both pipelines use the same `promscrape.Parse` function, we extend it
to make concurrency limiter optional. So caller can decide whether concurrency
should be limited or not.
This commit makes c53b5788b4
obsolete.
Signed-off-by: hagen1778 <roman@victoriametrics.com>
* Revert "dashboards: move `Concurrent inserts` panel to Troubleshooting section"
This reverts commit c53b5788b4.
---------
Signed-off-by: hagen1778 <roman@victoriametrics.com>
Opentelemetry format allows histograms with non-counter buckets. In this case it makes no sense to add buckets into database
and save only counter with _count suffix.
It could be used as gauge.
https://github.com/VictoriaMetrics/VictoriaMetrics/issues/4814
Co-authored-by: Aliaksandr Valialkin <valyala@victoriametrics.com>
* lib/protoparser: adds opentelemetry parser
app/{vmagent,vminsert}: adds opentelemetry ingestion path
Adds ability to ingest data with opentelemetry protocol
protobuf and json encoding is supported
data converted into prometheus protobuf timeseries
each data type has own converter and it may produce multiple timeseries
from single datapoint (for summary and histogram).
only cumulative aggregationFamily is supported for sum(prometheus
counter) and histogram.
Apply suggestions from code review
Co-authored-by: Roman Khavronenko <roman@victoriametrics.com>
updates deps
fixes tests
wip
wip
wip
wip
lib/protoparser/opentelemetry: moves to vtprotobuf generator
go mod vendor
lib/protoparse/opentelemetry: reduce memory allocations
* wip
- Remove support for JSON parsing, since it is too fragile and is rarely used in practice.
The most clients send OpenTelemetry metrics in protobuf.
The JSON parser can be added in the future if needed.
- Remove unused code from lib/protoparser/opentelemetry/pb and lib/protoparser/opentelemetry/proto
- Do not re-use protobuf message between ParseStream() calls, since there is high chance
of high fragmentation of the re-used message because of too complex nested structure of the message.
* wip
* wip
* wip
---------
Co-authored-by: Aliaksandr Valialkin <valyala@victoriametrics.com>
`lib/protoparser/prometheus` is used by various applications,
such as `app/vmalert`. The recent change to the
`lib/protoparser/prometheus` package introduced a new dependency
of `lib/writeconcurrencylimiter` which exposes some metrics.
Because of the dependency, now all applications which have this
dependency also expose these metrics.
Creating a new `lib/protoparser/prometheus/stream` package helps
to remove these metrics from apps which use `lib/protoparser/prometheus`
as dependency.
See https://github.com/VictoriaMetrics/VictoriaMetrics/issues/3761
Signed-off-by: hagen1778 <roman@victoriametrics.com>
Previously the -maxConcurrentInserts was limiting the number of established client connections,
which write data to VictoriaMetrics. Some of these connections could be idle.
Such connections do not consume big amounts of CPU and RAM, so there is a little sense in limiting
the number of such connections. So now the -maxConcurrentInserts command-line option
limits the number of concurrently executed insert requests, not including idle connections.
It is recommended removing -maxConcurrentInserts command-line option, since the default value
for this option should work good for most cases.
Before, if the imported line contained multiple metrics and one
or more of them had an empty values - the whole line was ignored.
Now, only metrics with empty values are ignored, and the rest
of the metrics are accepted successfully.
See https://github.com/VictoriaMetrics/VictoriaMetrics/issues/3540
Signed-off-by: hagen1778 <roman@victoriametrics.com>
Signed-off-by: hagen1778 <roman@victoriametrics.com>
Co-authored-by: Aliaksandr Valialkin <valyala@victoriametrics.com>
This fixes handling of values bigger than 2GiB for the following command-line flags:
- -storage.minFreeDiskSpaceBytes
- -remoteWrite.maxDiskUsagePerURL
* Optimize fast path for /api/v1/import when importing numeric values
* Move the docs about the change from features to bugfixes at docs/CHANGELOG.md
* Update tests at lib/protoparser/vmimport
Updates https://github.com/VictoriaMetrics/VictoriaMetrics/issues/3161
* app/vmselect: properly work when export import json from `api/v1/{export, import}` API
* app/vmselect: update convert function
* app/vmselect: export null if `math.IsNaN(v)`
* app/vmselect: get float from json
* lib/protoparser: add test
* docs: add change log
* lib/protoparser: make export import api compatible
previously, if native block cannot be unmarshaled, wg.Done wasn't called by unmarshal work.
It leads to connection blocking and possible dead-lock at client side
* lib/protoparser: changes ParseStream for native format
uses reader instead of http.Request
updates app/vmagent and app/vmagent method usage
* app/vmctl: add verify-block subcommand
it allows to check exported from VictoriaMetrics data block in native format
https://github.com/VictoriaMetrics/VictoriaMetrics/issues/2362
Update app/vmctl/README.md
Co-authored-by: Roman Khavronenko <roman@victoriametrics.com>
Previously bytesutil.Resize() was copying the original byte slice contents to a newly allocated slice.
This wasted CPU cycles and memory bandwidth in some places, where the original slice contents wasn't needed
after slize resizing. Switch such places to bytesutil.ResizeNoCopy().
Rename the original bytesutil.Resize() function to bytesutil.ResizeWithCopy() for the sake of improved readability.
Additionally, allocate new slice with `make()` instead of `append()`. This guarantees that the capacity of the allocated slice
exactly matches the requested size. The `append()` could return a slice with bigger capacity as an optimization for further `append()` calls.
This could result in excess memory usage when the returned byte slice was cached (for instance, in lib/blockcache).
Updates https://github.com/VictoriaMetrics/VictoriaMetrics/issues/2007
* adds tab as second separator for graphite text protocol
* changes indexFunc for indexAny
* Update lib/protoparser/graphite/parser_test.go
Co-authored-by: Aliaksandr Valialkin <valyala@victoriametrics.com>
Also reduce CPU usage when applying `series_limit` to scrape targets with constant set of metrics.
The main idea is to perform the calculations on scrape_series_added and series_limit
only if the set of metrics exposed by the target has been changed.
Scrape targets rarely change the set of exposed metrics,
so this optimization should reduce CPU usage in general case.
OpenMetrics timestamps are floating-point numbers, that represent Unix timestamp in seconds.
This differs from Prometheus exposition format, where timestamps are integer numbers representing Unix timestamp in milliseconds.
