[prometheus-users] Regarding timestamp in Prometheus using C++ library
Hi everyone, I am using gauge metric type. Can anyone let me know, how to
associate timestamp along with metric data in C++?
For eg:
In Go:prometheus.*NewMetricWithTimestamp*(t,metric)
in C++ is there any API to add timestamp?
In C++ I am exposing metric like this:
sample_metric.Add({{"label","value"}}).Set(gauge_value);
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Re: [prometheus-users] Re: Prometheus using a large amount of memory when managing storage.
On Fri, Oct 15, 2021 at 9:51 PM Chad Sesvold wrote: > At this point I am the only one running queries. When I have no target > defined the memory seems to be flat. > > When I changed the follow in non-pro it seemed to stabilize the memory > usage. > > --storage.tsdb.max-block-duration 15d > --storage.tsdb.min-block-duration 1h > These flags will actually make memory use worse. This will generate many more TSDB blocks than normal, which will cause Prometheus to need more memory to manage the indexes. However this is mostly needed for page cache memory. See my next comment. > > I will try copying the binaries and configs from prod to non-prod. > > I am planning at looking at Thanos instead of an NFS mount. That is going > to take some time. > The retention and long-term storage in Prometheus has almost no effect on RSS needed to run Prometheus. Prometheus only needs memory (RSS) to manage the current 2 hours of data. After 2 hours, everything in memory is flushed to disk and mapped-in using a technique called "mmap". This means disk blocks are virtually mapped into memory (VSS). Then the Linux kernel uses page cache to manage what data is loaded. You can have terabytes of data in the TSDB and it only uses a small amount of RSS to manage the mappings. As Brian said, you need to look at go_memstats_alloc_bytes and process_resident_memory_bytes for Prometheus. This will give you a better idea on what is being used. > > I did add some file targets back in none-prod for a total of 900 checks > and prometheus leveled out at about 22 GB. > > Prod - TSDB Status - Head Stats > Number of Series=2 million > Number of Chunks=11million > Number of Label=59k > PairsCurrent Min Time=2021-10-15T16:00:00.006Z (163431366) > Current Max Time=2021-10-15T18:51:07.414Z (1634323867414) > > Non-Prod - TSDB Status - Head Stats > Number of Series=82k > Number of Chunks=400k > Number of Label=2k > PairsCurrent Min Time=2021-10-15T18:05:27.705Z (1634321127705) > Current Max Time=2021-10-15T18:50:58.200Z (1634323858200) > > -- You received this message because you are subscribed to the Google Groups "Prometheus Users" group. To unsubscribe from this group and stop receiving emails from it, send an email to prometheus-users+unsubscr...@googlegroups.com. To view this discussion on the web visit https://groups.google.com/d/msgid/prometheus-users/CABbyFmpdpsuPDvcogdmbO3Jbga4j80pemhmhecSDpVJWeJy8Mg%40mail.gmail.com.
[prometheus-users] Re: Prometheus using a large amount of memory when managing storage.
Is there a specific reason why you're tweaking the TSDB block durations? That is, did you observe some problem with the defaults? Otherwise I'd suggest you just run with defaults. In any case, if the problem you're debugging is discrepancies between prod and non-prod, you should be running with the same flags in both. On Friday, 15 October 2021 at 20:51:47 UTC+1 tass...@gmail.com wrote: > I did add some file targets back in none-prod for a total of 900 checks > and prometheus leveled out at about 22 GB. > Not sure what you mean by "900 checks" here. Do you mean targets? Metrics? Alerting rules? And how are you determining the total RAM usage? (If you're getting OOM killer messages then you're definitely hitting the RAM limit. It's worth mentioning that older versions of go tended not to hand back memory to the OS as aggressively, but they did mark the pages as reclaimable and the OS would reclaim these when under memory pressure. But recent prometheus binaries should be built with a recent version of go - assuming you're using the official release binaries and not ones you've compiled yourself) > Prod - TSDB Status - Head Stats > Number of Series=2 million > Number of Chunks=11million > Number of Label=59k > PairsCurrent Min Time=2021-10-15T16:00:00.006Z (163431366) > Current Max Time=2021-10-15T18:51:07.414Z (1634323867414) > > Non-Prod - TSDB Status - Head Stats > Number of Series=82k > Number of Chunks=400k > Number of Label=2k > PairsCurrent Min Time=2021-10-15T18:05:27.705Z (1634321127705) > Current Max Time=2021-10-15T18:50:58.200Z (1634323858200) > > That suggests the non-prod should be using a lot less RAM - the number of head chunks in particular. > Prod > Showing nodes accounting for 3939.82MB, 73.70% of 5345.97MB total > Dropped 292 nodes (cum <= 26.73MB) > > Non-prod > Showing nodes accounting for 1.43GB, 91.54% of 1.56GB total > Dropped 133 nodes (cum <= 0.01GB) > What do you mean my "nodes" here? And what are "dropped nodes"? I'm looking at prometheus 2.29.2 here, so maybe there are some new stats in 2.30 that I can't see. -- You received this message because you are subscribed to the Google Groups "Prometheus Users" group. To unsubscribe from this group and stop receiving emails from it, send an email to prometheus-users+unsubscr...@googlegroups.com. To view this discussion on the web visit https://groups.google.com/d/msgid/prometheus-users/bca27a4f-7cf9-4bbc-a020-8b26a83acb38n%40googlegroups.com.
