> Hi Brian, want to import 10GB csv file into the Prometheus, after that
try to run different queries to find out how it performs with data with
high cardinality.
In prometheus, the timeseries data consists of float values and there's no
"cardinality" as such. But each timeseries is determined
Hi Brian, want to import 10GB csv file into the Prometheus, after that try
to run different queries to find out how it performs with data with high
cardinality.
This process need to run once, and data belong to last 24 hours of another
monitoring tool.
Now which option more suitable? And faster?
Prometheus is very specific to timeseries data, and normally new data is
ingested as of the current time.
If you have previous timeseries data that you need to import as a one-time
activity, then there is "backfilling", see
https://prometheus.io/docs/prometheus/latest/storage/#backfilling-from-o
Hi
how can i feed large csv file into the Prometheus?
Thanks
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