Hello Folks, A relatively new prometheus adopter here. Howdy! I have been reading through the terrific articles on Prometheus 2.x TSDB here: https://ganeshvernekar.com/blog/prometheus-tsdb-queries/
As I understand, the effect of high label cardinality (>1000 values for a labelname) is high memory usage. Assuming I can scale up the memory, are there any other effects of high label cardinality that one needs to be aware of? Could the ingestion/query performance be affected due to high label cardinality (despite having plenty of memory)? I gather from above articles that a map[labename][]postingOffset is maintained in memory per block and for a match query, it requires iterating through the []postingOffset sequentially comparing label value. Would this contribute to high query latencies? fyi - we are doing 4 million unique time series today with an ingestion rate of about 135K/sec. Pretty happy so far with the performance! :) --Girish -- 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 [email protected]. To view this discussion on the web visit https://groups.google.com/d/msgid/prometheus-users/972e5772-0001-4fd1-8906-383884c70d63n%40googlegroups.com.
