Then I would put some debugging code into iText to time how much of the getInstance() method is spend in actually reading the image from the server vs. the rest of the machinery in there. That will give you an obvious indication of whether the bottleneck is iText or I/O.
Once you know that - then you can start looking for solutions...Otherwise, you're just guessing. -----Original Message----- From: Jen Debroni [mailto:jdebr...@gmail.com] Sent: Wednesday, May 26, 2010 1:40 AM To: itext-questions@lists.sourceforge.net Subject: Re: [iText-questions] Image Speed "Does this point to some other machine? Or a local file on disk somewhere? " This URL points to a photo hosted by our photo server - this is the only way to access these images unfortunately. However, do you think it would help to compress the image somehow before calling image.getInstance()? Caching does no good as there will very rarely be repetition in the images used :( ... -- View this message in context: http://itext-general.2136553.n4.nabble.com/Image-Speed-tp2230840p2230889.html Sent from the iText - General mailing list archive at Nabble.com. ------------------------------------------------------------------------------ _______________________________________________ iText-questions mailing list iText-questions@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/itext-questions Buy the iText book: http://www.itextpdf.com/book/ Check the site with examples before you ask questions: http://www.1t3xt.info/examples/ You can also search the keywords list: http://1t3xt.info/tutorials/keywords/ ------------------------------------------------------------------------------ _______________________________________________ iText-questions mailing list iText-questions@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/itext-questions Buy the iText book: http://www.itextpdf.com/book/ Check the site with examples before you ask questions: http://www.1t3xt.info/examples/ You can also search the keywords list: http://1t3xt.info/tutorials/keywords/
