On Monday, 2 May 2022 at 06:17:17 UTC, Cym13 wrote:
No, that's not what this is for. Hyperloglog is useful if you
have a big dataset that may contain duplicates and you want to
know how many unique items you have (with a reasonnable
probability). For example, as a website, this can be used to
estimate how many visitors you have without having to store
every single IP address to check for duplicates at new
connections. The tradeoff is that it's probabilistic: you don't
need to store every address so you need much less space and
time to get a count of unique ips, but you have to accept a
margin of error on that result and you can't know what the IPs
were in the first place, just how many of them there are.
Thanks for quick anwser.
You mean with Hyperloglog, I can not get each IP count but only
the value how much IP has beed add into set ?