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    <title>topic Re: Link Table &amp; Optimisation in QlikView</title>
    <link>https://community.qlik.com/t5/QlikView/Link-Table-Optimisation/m-p/1275298#M400659</link>
    <description>&lt;HTML&gt;&lt;HEAD&gt;&lt;/HEAD&gt;&lt;BODY&gt;&lt;P&gt;Multiple linktables within the datamodel are the worst approach from a performance point of view - the more you are able to merge the tables the better will be the UI performance. To get NULL's within rows/columns by joining/mapping or concatenating is often no problem within the calculations or the performance. Also the match of mixed granularities is in general possible, for example: &lt;A href="https://community.qlik.com/qlik-blogpost/2819"&gt;Fact Table with Mixed Granularity&lt;/A&gt;.&lt;/P&gt;&lt;P&gt;&lt;/P&gt;&lt;P&gt;- Marcus&lt;/P&gt;&lt;/BODY&gt;&lt;/HTML&gt;</description>
    <pubDate>Fri, 24 Mar 2017 14:45:24 GMT</pubDate>
    <dc:creator>marcus_sommer</dc:creator>
    <dc:date>2017-03-24T14:45:24Z</dc:date>
    <item>
      <title>Link Table &amp; Optimisation</title>
      <link>https://community.qlik.com/t5/QlikView/Link-Table-Optimisation/m-p/1275297#M400658</link>
      <description>&lt;HTML&gt;&lt;HEAD&gt;&lt;/HEAD&gt;&lt;BODY&gt;&lt;P&gt;Hi,&lt;/P&gt;&lt;P&gt;&lt;/P&gt;&lt;P&gt;one of my apps is getting rather large now, and becoming rather slow. I started to think about optimisation, and looking at what i could do to improve the app. &lt;/P&gt;&lt;P&gt;&lt;/P&gt;&lt;P&gt;The app uses a couple of link tables, where datasets need to be joined that are aggregated at different levels, and as this is the only solution that i know, i was wondering if there is a better, faster way?&lt;/P&gt;&lt;P&gt;&lt;/P&gt;&lt;P&gt;As i say, as an example, dataset A is at its lowest level whereas dataset B is aggregated up - think of it in terms of sales and targets where targets aren't set at individual item (lowest level), but at product type level (aggregated up).&lt;/P&gt;&lt;P&gt;&lt;/P&gt;&lt;P&gt;I tried concatenating the two tables, and although they share some similar fields, each dataset just ended up padded with nulls at the join.&lt;/P&gt;&lt;P&gt;&lt;/P&gt;&lt;P&gt;cheers.&lt;/P&gt;&lt;/BODY&gt;&lt;/HTML&gt;</description>
      <pubDate>Fri, 24 Mar 2017 12:53:44 GMT</pubDate>
      <guid>https://community.qlik.com/t5/QlikView/Link-Table-Optimisation/m-p/1275297#M400658</guid>
      <dc:creator>wonkymeister</dc:creator>
      <dc:date>2017-03-24T12:53:44Z</dc:date>
    </item>
    <item>
      <title>Re: Link Table &amp; Optimisation</title>
      <link>https://community.qlik.com/t5/QlikView/Link-Table-Optimisation/m-p/1275298#M400659</link>
      <description>&lt;HTML&gt;&lt;HEAD&gt;&lt;/HEAD&gt;&lt;BODY&gt;&lt;P&gt;Multiple linktables within the datamodel are the worst approach from a performance point of view - the more you are able to merge the tables the better will be the UI performance. To get NULL's within rows/columns by joining/mapping or concatenating is often no problem within the calculations or the performance. Also the match of mixed granularities is in general possible, for example: &lt;A href="https://community.qlik.com/qlik-blogpost/2819"&gt;Fact Table with Mixed Granularity&lt;/A&gt;.&lt;/P&gt;&lt;P&gt;&lt;/P&gt;&lt;P&gt;- Marcus&lt;/P&gt;&lt;/BODY&gt;&lt;/HTML&gt;</description>
      <pubDate>Fri, 24 Mar 2017 14:45:24 GMT</pubDate>
      <guid>https://community.qlik.com/t5/QlikView/Link-Table-Optimisation/m-p/1275298#M400659</guid>
      <dc:creator>marcus_sommer</dc:creator>
      <dc:date>2017-03-24T14:45:24Z</dc:date>
    </item>
    <item>
      <title>Re: Link Table &amp; Optimisation</title>
      <link>https://community.qlik.com/t5/QlikView/Link-Table-Optimisation/m-p/1275299#M400660</link>
      <description>&lt;HTML&gt;&lt;HEAD&gt;&lt;/HEAD&gt;&lt;BODY&gt;&lt;P&gt;cheers - i will investigate!&lt;/P&gt;&lt;/BODY&gt;&lt;/HTML&gt;</description>
      <pubDate>Thu, 30 Mar 2017 10:07:47 GMT</pubDate>
      <guid>https://community.qlik.com/t5/QlikView/Link-Table-Optimisation/m-p/1275299#M400660</guid>
      <dc:creator>wonkymeister</dc:creator>
      <dc:date>2017-03-30T10:07:47Z</dc:date>
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