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.
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.
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.
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.
The number of series per target can be limited with the following options:
* Global limit with `-promscrape.maxSeriesPerTarget` command-line option.
* Per-target limit with `max_series: N` option in `scrape_config` section.
Updates https://github.com/VictoriaMetrics/VictoriaMetrics/issues/1561
Store the scraped response body instead of storing the parsed and relabeld metrics.
This should reduce memory usage, since the response body takes less memory than the parsed and relabeled metrics.
This is especially true for Kubernetes service discovery, which adds many long labels for all the scraped metrics.
This should also reduce CPU usage, since the marshaling of the parsed
and relabeld metrics has been substituted by response body copying.
Updates https://github.com/VictoriaMetrics/VictoriaMetrics/issues/1526
This option allows reducing CPU usage a bit when VictoriaMetrics is used
for collecting and processing non-Prometheus data. For example, InfluxDB line protocol, Graphite, OpenTSDB, CSV, etc.
This option can be useful when vmagent consumes too much additional memory
for staleness markers functionality and when staleness markers aren't needed.
* feature: Add multitenant for vmagent
* Minor fix
* Fix rcs index out of range
* Minor fix
* Fix multi Init
* Fix multi Init
* Fix multi Init
* Add default multi
* Adjust naming
* Add TenantInserted metrics
* Add TenantInserted metrics
* fix: remove unused metrics for vmagent
* fix: remove unused metrics for vmagent
Co-authored-by: mghader <marc.ghader@ubisoft.com>
Co-authored-by: Sebastian YEPES <syepes@gmail.com>
* new feature: relabel logging
Use scrape_configs[x].relabel_debug = true to log metric names inkl.
labels before and after relabeling. After relabeling related metrics
get dropped, i.e. not submitted to servers.
* vminsert wants relabel logging, too.
Do not cache too big byte buffers and too big writeRequestCtx objects,
since it is cheaper to re-create them instead of wasting RAM for their caching.
This reverts 7f6f350ee1
See the description for `sample_limit` option from Prometheus docs:
Per-scrape limit on number of scraped samples that will be accepted.
If more than this number of samples are present after metric relabeling
the entire scrape will be treated as failed. 0 means no limit.
https://prometheus.io/docs/prometheus/latest/configuration/configuration/#scrape_config
These metrics may result in big number of time series when vmagent scrapes thousands of targets and these targets constantly changes.
* It is better using `up == 0` query for determining failing targets.
* It is better using the following query for determining targets with exceeded limit on the number of metrics:
scrape_samples_scraped > 0 if up == 0
These metrics could be useful for determining imporperly working scrape targets.
Note that these metrics are exported only for failing scrape targets. They aren't exposed for normally working targets.
