What If You Could Find ANY User in Seconds in Large Dataset?

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  • เผยแพร่เมื่อ 27 ธ.ค. 2024

ความคิดเห็น • 12

  • @vishaldudhabarve5903
    @vishaldudhabarve5903 3 หลายเดือนก่อน

    Seriously you do teach advanced topics and I like it ❤

  • @thrinathgaddam-yz4mq
    @thrinathgaddam-yz4mq 2 หลายเดือนก่อน

    Wr r u bro all this days code explained ❤

  • @mjvlogs3250
    @mjvlogs3250 3 หลายเดือนก่อน +1

    Hi can I use this bloom filter for other options as well like in my case i have multiple tables in which i AM quering and loops added because of that my response time is higher around 10s after pagination of 10 Records... This is only for 100 Records so can I use this hashing..??
    But also this is a user specific thing..

  • @mithileshgupta3198
    @mithileshgupta3198 3 หลายเดือนก่อน

    Thank you ❤

  • @KishanJadav-e9l
    @KishanJadav-e9l 3 หลายเดือนก่อน

    why we need num_hashes = 3, only one hash not work?

    • @skydutta
      @skydutta 3 หลายเดือนก่อน +1

      Same Doubt

    • @block4671
      @block4671 3 หลายเดือนก่อน

      Cuz more num_hashes reduce false positive, but if you take it more you will lost efficiency, so take 3 is Standard. False positive means suppose in user table, user not actually exist but bloom filter show you that it exist. This is called false positive. ❤️

    • @pritamsarkar9931
      @pritamsarkar9931 หลายเดือนก่อน

      What will be the size of the bit array and what will be the number of hashes, has a tradeoff. There's a mathematical calculation behind it.

  • @manoranjanmohapatra8878
    @manoranjanmohapatra8878 3 หลายเดือนก่อน +1

    Bro honestly I'm telling I have lots of interest in it but didn't get anything what I need to do to understand each and everything just pursuing django in which today sir taught about how to create models.... please tell....

  • @animeindanger9518
    @animeindanger9518 3 หลายเดือนก่อน

    ❤❤❤❤❤

  • @ZaidQureshi-o7m
    @ZaidQureshi-o7m 3 หลายเดือนก่อน

    Bro please continue teaching advanced topics with code and please start coding by creating an scalable application.
    Please teach next how to search a user from 1 biilion users like in instagram searching for people or on fb