<?xml version="1.0" encoding="UTF-8"?>
<rss xmlns:content="http://purl.org/rss/1.0/modules/content/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:rdf="http://www.w3.org/1999/02/22-rdf-syntax-ns#" xmlns:taxo="http://purl.org/rss/1.0/modules/taxonomy/" version="2.0">
  <channel>
    <title>topic Set Analysis and Performance in QlikView</title>
    <link>https://community.qlik.com/t5/QlikView/Set-Analysis-and-Performance/m-p/363147#M135023</link>
    <description>&lt;HTML&gt;&lt;HEAD&gt;&lt;/HEAD&gt;&lt;BODY&gt;&lt;P&gt;Hello all,&lt;/P&gt;&lt;P&gt;&lt;/P&gt;&lt;P&gt;Just a quick question performance-wise.&lt;/P&gt;&lt;P&gt;&lt;/P&gt;&lt;P&gt;I have a request from a client to produce a spreadsheet with 18 yearly tables all filtering the data in different ways. I ahve a QV app with 18 bookmarks and then a copy/paste process of tables into Excel. This is not optimal and since the project and future developments of ad-hoc tables needs to continue after my departure, I had initally chosen to try and implement 18 objects using set analysis with bookmarks (thinking it would be easier to hand-over&amp;nbsp; with minimal training) and a macro doing the export into one template spreadsheet.&lt;/P&gt;&lt;P&gt;&lt;/P&gt;&lt;P&gt;however, this 40 Mb document hangs the PC almost systematically, as when I create the set analysis charts (by about the 10th), the Task Manager shows this 40 Mb file with QV opent taking up about 3 Gb of RAM and hanging indefinitely the PC. Initially I thought it might be the bookmark set analysis that might be more memory hungry, so I explicitly stated the set analysis and... same result.&lt;/P&gt;&lt;P&gt;&lt;/P&gt;&lt;P&gt;Has anyone seen this kind of behaviour in QV Desktop (File is 40 Mb, PC has 4 Gb RAM)? Any explanation as to why it does this? Any workaround (apart from throwing more RAM at the machine)?&lt;/P&gt;&lt;P&gt;&lt;/P&gt;&lt;P&gt;Kind regards,&lt;/P&gt;&lt;P&gt;&lt;/P&gt;&lt;P&gt;Cheenu&lt;/P&gt;&lt;/BODY&gt;&lt;/HTML&gt;</description>
    <pubDate>Mon, 23 Apr 2012 08:05:42 GMT</pubDate>
    <dc:creator />
    <dc:date>2012-04-23T08:05:42Z</dc:date>
    <item>
      <title>Set Analysis and Performance</title>
      <link>https://community.qlik.com/t5/QlikView/Set-Analysis-and-Performance/m-p/363147#M135023</link>
      <description>&lt;HTML&gt;&lt;HEAD&gt;&lt;/HEAD&gt;&lt;BODY&gt;&lt;P&gt;Hello all,&lt;/P&gt;&lt;P&gt;&lt;/P&gt;&lt;P&gt;Just a quick question performance-wise.&lt;/P&gt;&lt;P&gt;&lt;/P&gt;&lt;P&gt;I have a request from a client to produce a spreadsheet with 18 yearly tables all filtering the data in different ways. I ahve a QV app with 18 bookmarks and then a copy/paste process of tables into Excel. This is not optimal and since the project and future developments of ad-hoc tables needs to continue after my departure, I had initally chosen to try and implement 18 objects using set analysis with bookmarks (thinking it would be easier to hand-over&amp;nbsp; with minimal training) and a macro doing the export into one template spreadsheet.&lt;/P&gt;&lt;P&gt;&lt;/P&gt;&lt;P&gt;however, this 40 Mb document hangs the PC almost systematically, as when I create the set analysis charts (by about the 10th), the Task Manager shows this 40 Mb file with QV opent taking up about 3 Gb of RAM and hanging indefinitely the PC. Initially I thought it might be the bookmark set analysis that might be more memory hungry, so I explicitly stated the set analysis and... same result.&lt;/P&gt;&lt;P&gt;&lt;/P&gt;&lt;P&gt;Has anyone seen this kind of behaviour in QV Desktop (File is 40 Mb, PC has 4 Gb RAM)? Any explanation as to why it does this? Any workaround (apart from throwing more RAM at the machine)?&lt;/P&gt;&lt;P&gt;&lt;/P&gt;&lt;P&gt;Kind regards,&lt;/P&gt;&lt;P&gt;&lt;/P&gt;&lt;P&gt;Cheenu&lt;/P&gt;&lt;/BODY&gt;&lt;/HTML&gt;</description>
      <pubDate>Mon, 23 Apr 2012 08:05:42 GMT</pubDate>
      <guid>https://community.qlik.com/t5/QlikView/Set-Analysis-and-Performance/m-p/363147#M135023</guid>
      <dc:creator />
      <dc:date>2012-04-23T08:05:42Z</dc:date>
    </item>
  </channel>
</rss>

