• Open Menu Close Menu
  • Apple
  • Shopping Bag
  • Apple
  • Mac
  • iPad
  • iPhone
  • Watch
  • TV
  • Music
  • Support
  • Search apple.com
  • Shopping Bag

Lists

Open Menu Close Menu
  • Terms and Conditions
  • Lists hosted on this site
  • Email the Postmaster
  • Tips for posting to public mailing lists
Re: NSTableView with LARGE dataset
[Date Prev][Date Next][Thread Prev][Thread Next][Date Index][Thread Index]

Re: NSTableView with LARGE dataset


  • Subject: Re: NSTableView with LARGE dataset
  • From: Erik Buck <email@hidden>
  • Date: Fri, 23 Feb 2007 09:44:55 -0800 (PST)

See http://www.cocoabuilder.com/archive/message/cocoa/2007/2/19/179016

  "In 32-bit Cocoa, the limited precision of the IEEE float data type means that single PDF "point" accuracy is lost when views become taller or wider than 2097152 points.  In other words, in a single view larger than ~29,000 inches tall, there will be drawing anomalies approximately equal to the size of a point due to inadequate numerical precision to represent individual points.  Common approached to dealing with this uncommon problem include representing "pages" by views instead of representing an entire document by one view.  Of course, this is only an issue if your document needs more than ~2,648 11 inch tall pages."

  See also http://www.cocoabuilder.com/archive/message/cocoa/2002/8/28/8864
  http://www.cocoabuilder.com/archive/message/cocoa/2005/6/20/139377
  http://www.cocoabuilder.com/archive/message/cocoa/2003/1/30/5871

  and a bunch of other times this is in the archives.


_______________________________________________

Cocoa-dev mailing list (email@hidden)

Do not post admin requests or moderator comments to the list.
Contact the moderators at cocoa-dev-admins(at)lists.apple.com

Help/Unsubscribe/Update your Subscription:

This email sent to email@hidden

  • Prev by Date: Emulating modifier keys
  • Next by Date: Re: NSTableView with LARGE dataset
  • Previous by thread: Re: NSTableView with LARGE dataset
  • Next by thread: Re: NSTableView with LARGE dataset
  • Index(es):
    • Date
    • Thread