Skip to content
  • Categories
  • Recent
  • Tags
  • Popular
  • World
  • Users
  • Groups
Skins
  • Light
  • Cerulean
  • Cosmo
  • Flatly
  • Journal
  • Litera
  • Lumen
  • Lux
  • Materia
  • Minty
  • Morph
  • Pulse
  • Sandstone
  • Simplex
  • Sketchy
  • Spacelab
  • United
  • Yeti
  • Zephyr
  • Dark
  • Cyborg
  • Darkly
  • Quartz
  • Slate
  • Solar
  • Superhero
  • Vapor

  • Default (No Skin)
  • No Skin
Collapse
Code Project
CODE PROJECT For Those Who Code
  • Home
  • Articles
  • FAQ
Community
  1. Home
  2. Database & SysAdmin
  3. Database
  4. how to query by distance

how to query by distance

Scheduled Pinned Locked Moved Database
databasehelptutorialquestion
1 Posts 1 Posters 0 Views 1 Watching
  • Oldest to Newest
  • Newest to Oldest
  • Most Votes
Reply
  • Reply as topic
Log in to reply
This topic has been deleted. Only users with topic management privileges can see it.
  • C Offline
    C Offline
    ComCoderCsharp
    wrote on last edited by
    #1

    Hi guys I've have set up a data-table in MS Access. I have a colomn with the names of my data and a column with numbering of the data (One number for each name). I then have a new entry of data, which I want to compare to the data in my table. I want to do this by calculating the distances between the new data and all of the data (numberings) in the data-table. Finally I want to choose the ten data-items from the tables, which have the shortest distance to the new data-entry. My problem is... How can I in sql-code calculate the distances, one row at a time - save them and later compare all the distances and choosing the ten shortest ones. I haven't done much sql-code before - so i would really apreciate any suggestions or maybe some good links Thanks in advance AL

    1 Reply Last reply
    0
    Reply
    • Reply as topic
    Log in to reply
    • Oldest to Newest
    • Newest to Oldest
    • Most Votes


    • Login

    • Don't have an account? Register

    • Login or register to search.
    • First post
      Last post
    0
    • Categories
    • Recent
    • Tags
    • Popular
    • World
    • Users
    • Groups