What is the overhead of having high number of fields (200 fields of type float) per single measurement ?
What is the impact on tsi storage ? Can storage space occupation explode ?
What is the impact on compaction performance ?
Context: Currently I’m using telegraf elasticsearch input plugin to collect stats from multiple large ES clusters,
and I noticed inflxudb database disk size grows up pretty quickly (300GB for 6 months), and ful compactions are taking lots of CPU/IO/memory resources. Therefore I wonder whether high number of filelds can cause this.