This should improve data ingestion speed if time series samples are ingested with interval bigger than 2 minutes.
The actual interval could exceed 2 minutes if the original interval between samples doesn't exceed 2 minutes
in the case of slow inserts. Slow inserts may appear in the following cases:
* Big number of new time series are pushed to VictoriaMetrics, so they couldn't be registered in 2 minutes.
* MetricName->tsid cache reset on indexdb rotation or due to unclean shutdown.
In this case VictoriaMetrics needs to load MetricName->tsid entries for all the incoming series from IndexDB.
IndexDB uses the block cache for increasing lookup performance. If the cache has no the needed block,
then IndexDB reads and unpacks the block from disk. This requires an extra disk read IO and CPU.
See https://github.com/VictoriaMetrics/VictoriaMetrics/issues/1401
Updates https://github.com/VictoriaMetrics/VictoriaMetrics/issues/2007
This also should increase performance for periodically executed queries with intervals from 2 minutes to 5 minutes.
See the previous similar commit - 43103be011
It is possible that the timeout can be increased further. Let's collect production numbers for this change
so the timeout could be adjusted further.
Previously limits for new caches were taken from cache stats.
These limits could mismatch the original limits. This could result in failed cache load
if the stored cache has been created with the limits obtained from cache stats.
This metric shows the number of CPU cores available to the process.
This allows creating alerting rules on CPU saturation with the following query:
rate(process_cpu_seconds_total[5m]) / process_cpu_cores_available > 0.9
Updates https://github.com/VictoriaMetrics/VictoriaMetrics/issues/2107
* optimized code ,because only the first error,so no need var errors []error
* optimized code ,because only the first error,so no need var errors []error
Co-authored-by: lirenzuo <lirenzuo@shein.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
- Optimize Cache.RemoveBlocksFromPart(), so it doesn't need to iterate over all the cached blocks.
- Cache blocks if there were no cache misses during the last 2 minutes.
This may be the case when new blocks are added simultaneously to the storage and to the cache.
Updates https://github.com/VictoriaMetrics/VictoriaMetrics/issues/2007
Previously these caches could exceed limits set via `-memory.allowedPercent` and/or `-memory.allowedBytes`,
since limits were set independently per each data part. If the number of data parts was big, then limits could be exceeded,
which could result to out of memory errors.
Updates https://github.com/VictoriaMetrics/VictoriaMetrics/issues/2007
- Document the bugfix at docs/CHANGELOG.md
- Set __address__ field after copying commonLabels to the resulting map of discovered labels.
This makes sure that the correct __address__ label is used.
* vmagent: add error log for skipped data block when rejected by receiving side
Previously, rejected data blocks were silently dropped - only metrics were update.
From operational perspective, having an additional logging for such cases is preferable.
https://github.com/VictoriaMetrics/VictoriaMetrics/issues/1911
Signed-off-by: hagen1778 <roman@victoriametrics.com>
* vmagent: throttle log messages about skipped blocks
The new type of logger was added to logger pacakge.
This new type supposed to control number of logged messages
by time.
Signed-off-by: hagen1778 <roman@victoriametrics.com>
* lib/logger: make LogThrottler public, so its methods can be inspected by external packages
Co-authored-by: Aliaksandr Valialkin <valyala@victoriametrics.com>
This should handle the case when the original job_name has been changed in -promscrape.config ,
while the resulting job label remains the same because it is overriden via relabeling.
For example, `{__graphite__=~"foo.(bar|baz)"}` is automatically converted to `{__graphite__=~"foo.{bar,baz}"}` before execution.
This allows using multi-value Grafana template variables such as `{__graphite__=~"foo.($app)"}`.
* feat: change duration by "enter"
* fix: optimize data processing for chart
* feat: set minimum step to 1ms
* update dependencies
* feat: remove save the last query to local storage
* fix: handle an error in a table with subqueries
* feat: store display type in URL
* Revert "feat: store display type in URL"
This reverts commit ccc242c69a.
* feat: store display type in URL
* refactor: move the time setting to a folder
* refactor: move the query configurator to a folder
* refactor: move the auth settings to a folder
* feat: improve styles
* feat: add multi query
* update package-lock
* feat: add display multiple queries
* feat: add limits for multiple queries
* update dependencies
* feat: add history for multiple queries
* feat: add line type to legend
* feat: change style for switch
* feat: change the logic for axes limits for multiple queries
* update package-lock.json
* update dependencies
* feat: add the filter to legend
* wip
* lib/httpserver: add missing 127.0.0.1 hostname to the logged address for http and pprof server if the address starts with ':'
This allows copy-pasting the url to http server from logs.
* lib/httpserver: add missing 127.0.0.1 hostname to the logged address for http and pprof server if the address starts with ':'
This allows copy-pasting the url to http server from logs.
Co-authored-by: Aliaksandr Valialkin <valyala@victoriametrics.com>
* Document the ability to specify http or https urls in `-auth.config` at docs/CHANGELOG.md
* Move the ReadFileOrHTTP to lib/fs, so it can be re-used in other places where a file
should be read from the given path. For example, in `-promscrape.config` at `vmagent`.
The vm_cache_size_max_bytes metric can be used for determining caches which reach their capacity via the following query:
vm_cache_size_bytes / vm_cache_size_max_bytes > 0.9
* removes FileSize from backup part key
it should fix download restoration for backups
* Update lib/backup/common/part.go
Co-authored-by: Aliaksandr Valialkin <valyala@victoriametrics.com>
Previously only the lower part of 64-bit hash was used for calculating the offset.
This may give uneven distribution in some cases. So let's use all the available 64 bits from the hash
for calculating the offset.
Do not store in memory the response from the last scrape per each target if -promscrape.noStaleMarkers option is enabled.
This should reduce memory usage when the scraped targets return large responses.
* 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>
This should make visible the set flags at flag.Visit(), which is used later for logging
and exporting the `is_set` label for these flags at /metrics page
Stream parsing mode can be automatically enabled when scraping targets with big response bodies
exceeding the -promscrape.minResponseSizeForStreamParse , so it must be always initialized.
This allows sending staleness marks and properly calculate scrape_series_added metric in stream parsing mode
at the cost of the increased memory usage, since now the potentially big response is kept
in the lastScrape byte slice per each scrapeWork.
In practice the memory usage increase shouldn't be big, since the response size
is usually much smaller than the parsed metrics from this response after the relabeling,
which usually adds a big pile of target-specific labels per each metric.
