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    <title>topic Re: Performance Improvement while extracting data from SQL Server in QlikView</title>
    <link>https://community.qlik.com/t5/QlikView/Performance-Improvement-while-extracting-data-from-SQL-Server/m-p/1232069#M851752</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;You have to retrive only yesterday data in SQL side. I mean put where condition in SQL query. like Date="Yesterday Date".&lt;/P&gt;&lt;/BODY&gt;&lt;/HTML&gt;</description>
    <pubDate>Mon, 06 Mar 2017 09:31:41 GMT</pubDate>
    <dc:creator>muthukumar77</dc:creator>
    <dc:date>2017-03-06T09:31:41Z</dc:date>
    <item>
      <title>Performance Improvement while extracting data from SQL Server</title>
      <link>https://community.qlik.com/t5/QlikView/Performance-Improvement-while-extracting-data-from-SQL-Server/m-p/1232067#M851749</link>
      <description>&lt;HTML&gt;&lt;HEAD&gt;&lt;/HEAD&gt;&lt;BODY&gt;&lt;P&gt;Hi All,&lt;/P&gt;&lt;P&gt;&lt;/P&gt;&lt;P&gt;There are two tables 1. Dimension - Product 2. Fact - TableX, it has 10 years data.&lt;/P&gt;&lt;P&gt;&lt;/P&gt;&lt;P&gt;Requirement - want to extract only Yesterday data. This query take much time, how can i improve performance here (QlikView side).&lt;/P&gt;&lt;P&gt;&lt;/P&gt;&lt;P&gt;And please let me know &lt;SPAN style="font-size: 13.3333px;"&gt;how can i improve performance&lt;/SPAN&gt; at SQL side as well if possible?&lt;/P&gt;&lt;P&gt;&lt;/P&gt;&lt;P&gt;Thanks,&lt;/P&gt;&lt;P&gt;Nihhal.&lt;/P&gt;&lt;/BODY&gt;&lt;/HTML&gt;</description>
      <pubDate>Wed, 25 Nov 2020 16:16:04 GMT</pubDate>
      <guid>https://community.qlik.com/t5/QlikView/Performance-Improvement-while-extracting-data-from-SQL-Server/m-p/1232067#M851749</guid>
      <dc:creator>nihhalmca</dc:creator>
      <dc:date>2020-11-25T16:16:04Z</dc:date>
    </item>
    <item>
      <title>Re: Performance Improvement while extracting data from SQL Server</title>
      <link>https://community.qlik.com/t5/QlikView/Performance-Improvement-while-extracting-data-from-SQL-Server/m-p/1232068#M851750</link>
      <description>&lt;HTML&gt;&lt;HEAD&gt;&lt;/HEAD&gt;&lt;BODY&gt;&lt;P&gt;Which Query you have written in Qlik?&lt;/P&gt;&lt;/BODY&gt;&lt;/HTML&gt;</description>
      <pubDate>Mon, 06 Mar 2017 06:41:02 GMT</pubDate>
      <guid>https://community.qlik.com/t5/QlikView/Performance-Improvement-while-extracting-data-from-SQL-Server/m-p/1232068#M851750</guid>
      <dc:creator>Anil_Babu_Samineni</dc:creator>
      <dc:date>2017-03-06T06:41:02Z</dc:date>
    </item>
    <item>
      <title>Re: Performance Improvement while extracting data from SQL Server</title>
      <link>https://community.qlik.com/t5/QlikView/Performance-Improvement-while-extracting-data-from-SQL-Server/m-p/1232069#M851752</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;You have to retrive only yesterday data in SQL side. I mean put where condition in SQL query. like Date="Yesterday Date".&lt;/P&gt;&lt;/BODY&gt;&lt;/HTML&gt;</description>
      <pubDate>Mon, 06 Mar 2017 09:31:41 GMT</pubDate>
      <guid>https://community.qlik.com/t5/QlikView/Performance-Improvement-while-extracting-data-from-SQL-Server/m-p/1232069#M851752</guid>
      <dc:creator>muthukumar77</dc:creator>
      <dc:date>2017-03-06T09:31:41Z</dc:date>
    </item>
    <item>
      <title>Re: Performance Improvement while extracting data from SQL Server</title>
      <link>https://community.qlik.com/t5/QlikView/Performance-Improvement-while-extracting-data-from-SQL-Server/m-p/1232070#M851754</link>
      <description>&lt;HTML&gt;&lt;HEAD&gt;&lt;/HEAD&gt;&lt;BODY&gt;&lt;OL&gt;&lt;LI&gt;Start by placing a WHERE clause in your SQL query to retrieve only rows corresponding to that date.&lt;/LI&gt;&lt;LI&gt;Pull only fields you are going to use, do not do SELECT *&lt;/LI&gt;&lt;LI&gt;If there is none, think of creating an index on that Date field in the database.&lt;/LI&gt;&lt;/OL&gt;&lt;/BODY&gt;&lt;/HTML&gt;</description>
      <pubDate>Mon, 06 Mar 2017 10:14:12 GMT</pubDate>
      <guid>https://community.qlik.com/t5/QlikView/Performance-Improvement-while-extracting-data-from-SQL-Server/m-p/1232070#M851754</guid>
      <dc:creator>Miguel_Angel_Baeyens</dc:creator>
      <dc:date>2017-03-06T10:14:12Z</dc:date>
    </item>
    <item>
      <title>Re: Performance Improvement while extracting data from SQL Server</title>
      <link>https://community.qlik.com/t5/QlikView/Performance-Improvement-while-extracting-data-from-SQL-Server/m-p/1232071#M851756</link>
      <description>&lt;HTML&gt;&lt;HEAD&gt;&lt;/HEAD&gt;&lt;BODY&gt;&lt;P&gt;Hi Anil babu,&lt;/P&gt;&lt;P&gt;&lt;/P&gt;&lt;P&gt;We write query in edit script while extracting right that's what i am talking like:&lt;/P&gt;&lt;P&gt;&lt;SPAN style="font-size: 10pt;"&gt;SQL Select&lt;/SPAN&gt;&lt;/P&gt;&lt;P&gt;&lt;SPAN style="font-size: 10pt;"&gt;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp; ----&lt;/SPAN&gt;&lt;/P&gt;&lt;P&gt;&lt;SPAN style="font-size: 10pt;"&gt;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp; ----&lt;/SPAN&gt;&lt;/P&gt;&lt;P&gt;&lt;SPAN style="font-size: 10pt;"&gt;From table where date ='yesterday';&lt;/SPAN&gt;&lt;SPAN style="font-size: 10pt;"&gt; &lt;/SPAN&gt;&lt;/P&gt;&lt;P&gt;&lt;/P&gt;&lt;P&gt;MY question is what are the optimize techniques to improve performance here.&lt;/P&gt;&lt;/BODY&gt;&lt;/HTML&gt;</description>
      <pubDate>Mon, 06 Mar 2017 11:32:08 GMT</pubDate>
      <guid>https://community.qlik.com/t5/QlikView/Performance-Improvement-while-extracting-data-from-SQL-Server/m-p/1232071#M851756</guid>
      <dc:creator>nihhalmca</dc:creator>
      <dc:date>2017-03-06T11:32:08Z</dc:date>
    </item>
    <item>
      <title>Re: Performance Improvement while extracting data from SQL Server</title>
      <link>https://community.qlik.com/t5/QlikView/Performance-Improvement-while-extracting-data-from-SQL-Server/m-p/1232072#M851758</link>
      <description>&lt;HTML&gt;&lt;HEAD&gt;&lt;/HEAD&gt;&lt;BODY&gt;&lt;P&gt;Hi Muthukumar,&lt;/P&gt;&lt;P&gt;&lt;/P&gt;&lt;P&gt;I am fine with writing where condition however my question is what are the optimize techniques to improve performance.&lt;/P&gt;&lt;/BODY&gt;&lt;/HTML&gt;</description>
      <pubDate>Mon, 06 Mar 2017 11:33:30 GMT</pubDate>
      <guid>https://community.qlik.com/t5/QlikView/Performance-Improvement-while-extracting-data-from-SQL-Server/m-p/1232072#M851758</guid>
      <dc:creator>nihhalmca</dc:creator>
      <dc:date>2017-03-06T11:33:30Z</dc:date>
    </item>
    <item>
      <title>Re: Performance Improvement while extracting data from SQL Server</title>
      <link>https://community.qlik.com/t5/QlikView/Performance-Improvement-while-extracting-data-from-SQL-Server/m-p/1232073#M851759</link>
      <description>&lt;HTML&gt;&lt;HEAD&gt;&lt;/HEAD&gt;&lt;BODY&gt;&lt;P&gt;Hi Miguel,&lt;/P&gt;&lt;P&gt;&lt;/P&gt;&lt;P&gt;Point 1 and 2 as usual however i have to think about 3 point. &lt;/P&gt;&lt;P&gt;&lt;/P&gt;&lt;P&gt;Thanks.&lt;/P&gt;&lt;/BODY&gt;&lt;/HTML&gt;</description>
      <pubDate>Mon, 06 Mar 2017 11:34:55 GMT</pubDate>
      <guid>https://community.qlik.com/t5/QlikView/Performance-Improvement-while-extracting-data-from-SQL-Server/m-p/1232073#M851759</guid>
      <dc:creator>nihhalmca</dc:creator>
      <dc:date>2017-03-06T11:34:55Z</dc:date>
    </item>
    <item>
      <title>Re: Performance Improvement while extracting data from SQL Server</title>
      <link>https://community.qlik.com/t5/QlikView/Performance-Improvement-while-extracting-data-from-SQL-Server/m-p/1232074#M851760</link>
      <description>&lt;HTML&gt;&lt;HEAD&gt;&lt;/HEAD&gt;&lt;BODY&gt;&lt;P&gt;1) Create variable for yesterday and then call that variable into script&lt;/P&gt;&lt;P&gt;2) Improve - Will happen if you would go for qvd and then call that qvd with same Where condition by help of variable&lt;/P&gt;&lt;P&gt;3) Migue already noted good point (3rd one)&lt;/P&gt;&lt;/BODY&gt;&lt;/HTML&gt;</description>
      <pubDate>Mon, 06 Mar 2017 11:57:24 GMT</pubDate>
      <guid>https://community.qlik.com/t5/QlikView/Performance-Improvement-while-extracting-data-from-SQL-Server/m-p/1232074#M851760</guid>
      <dc:creator>Anil_Babu_Samineni</dc:creator>
      <dc:date>2017-03-06T11:57:24Z</dc:date>
    </item>
    <item>
      <title>Re: Performance Improvement while extracting data from SQL Server</title>
      <link>https://community.qlik.com/t5/QlikView/Performance-Improvement-while-extracting-data-from-SQL-Server/m-p/1232075#M851761</link>
      <description>&lt;HTML&gt;&lt;HEAD&gt;&lt;/HEAD&gt;&lt;BODY&gt;&lt;P&gt;Have a look at the techniques for Incremental Load in your script.&lt;/P&gt;&lt;P&gt;&lt;/P&gt;&lt;P&gt;&lt;A href="https://community.qlik.com/qlik-blogpost/5149"&gt;Incremental loading - All scenarios&lt;/A&gt;&lt;/P&gt;&lt;P&gt;&lt;/P&gt;&lt;P&gt;&lt;A href="https://community.qlik.com/docs/DOC-9531"&gt;Incremental Load in Qlikview - Sources&lt;/A&gt;&lt;/P&gt;&lt;/BODY&gt;&lt;/HTML&gt;</description>
      <pubDate>Mon, 06 Mar 2017 12:42:44 GMT</pubDate>
      <guid>https://community.qlik.com/t5/QlikView/Performance-Improvement-while-extracting-data-from-SQL-Server/m-p/1232075#M851761</guid>
      <dc:creator>Colin-Albert</dc:creator>
      <dc:date>2017-03-06T12:42:44Z</dc:date>
    </item>
    <item>
      <title>Re: Performance Improvement while extracting data from SQL Server</title>
      <link>https://community.qlik.com/t5/QlikView/Performance-Improvement-while-extracting-data-from-SQL-Server/m-p/1232076#M851762</link>
      <description>&lt;HTML&gt;&lt;HEAD&gt;&lt;/HEAD&gt;&lt;BODY&gt;&lt;P&gt;Hi Nihhal,&lt;/P&gt;&lt;P&gt;&lt;/P&gt;&lt;P&gt;Following this for improving the performance&lt;/P&gt;&lt;P&gt;&lt;/P&gt;&lt;P&gt;- Load only the required columns&lt;/P&gt;&lt;P&gt;- Load only the required data, for example if you just need 5 years of data just load that with where&lt;/P&gt;&lt;P&gt;- Load less data as much as possible, check with your user and apply filters accordingly&lt;/P&gt;&lt;P&gt;- Implement Incremental loading, so that it loads only latest data and from database and this reduce the load time.&lt;/P&gt;&lt;P&gt;- Check in database whether the statistics and indexes are updating periodically&lt;/P&gt;&lt;P&gt;&lt;/P&gt;&lt;P&gt;Hope this helps you.&lt;/P&gt;&lt;P&gt;&lt;/P&gt;&lt;P&gt;Regards,&lt;/P&gt;&lt;P&gt;Jagan.&lt;/P&gt;&lt;/BODY&gt;&lt;/HTML&gt;</description>
      <pubDate>Wed, 17 May 2017 07:23:19 GMT</pubDate>
      <guid>https://community.qlik.com/t5/QlikView/Performance-Improvement-while-extracting-data-from-SQL-Server/m-p/1232076#M851762</guid>
      <dc:creator>jagan</dc:creator>
      <dc:date>2017-05-17T07:23:19Z</dc:date>
    </item>
    <item>
      <title>Re: Performance Improvement while extracting data from SQL Server</title>
      <link>https://community.qlik.com/t5/QlikView/Performance-Improvement-while-extracting-data-from-SQL-Server/m-p/1232077#M851763</link>
      <description>&lt;HTML&gt;&lt;HEAD&gt;&lt;/HEAD&gt;&lt;BODY&gt;&lt;P&gt;Crucial for performance is having an index on the Date field in the SQL Server table.&lt;/P&gt;&lt;/BODY&gt;&lt;/HTML&gt;</description>
      <pubDate>Wed, 17 May 2017 07:40:36 GMT</pubDate>
      <guid>https://community.qlik.com/t5/QlikView/Performance-Improvement-while-extracting-data-from-SQL-Server/m-p/1232077#M851763</guid>
      <dc:creator>Anders_Eriksson</dc:creator>
      <dc:date>2017-05-17T07:40:36Z</dc:date>
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