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    <title>topic Re: mapping and applyload in Data Movement &amp; Streaming</title>
    <link>https://community.qlik.com/t5/Data-Movement-Streaming/mapping-and-applyload/m-p/1999527#M555</link>
    <description>&lt;P&gt;Hi, this is a join, not a mapping.&lt;/P&gt;
&lt;P&gt;A join merges two tables in a single tble, if the 2nd table has only one row by SKU this could also work.&lt;/P&gt;
&lt;P&gt;In this case you can de a lod using this table as source using resident&lt;/P&gt;
&lt;LI-CODE lang="markup"&gt;Finaltable:
LOAD *,
  [Order Quantity]*[Unit Price] as Amount
Resident  [Past Orders];

DROp Table [Past Orders];&lt;/LI-CODE&gt;
&lt;P&gt;The other option is using a mapping table, check the example:&amp;nbsp;&lt;A href="https://help.qlik.com/en-US/qlikview/May2022/Subsystems/Client/Content/QV_QlikView/Scripting/MappingFunctions/ApplyMap.htm" target="_blank"&gt;https://help.qlik.com/en-US/qlikview/May2022/Subsystems/Client/Content/QV_QlikView/Scripting/MappingFunctions/ApplyMap.htm&lt;/A&gt;&lt;/P&gt;</description>
    <pubDate>Wed, 02 Nov 2022 11:04:30 GMT</pubDate>
    <dc:creator>rubenmarin</dc:creator>
    <dc:date>2022-11-02T11:04:30Z</dc:date>
    <item>
      <title>mapping and applyload</title>
      <link>https://community.qlik.com/t5/Data-Movement-Streaming/mapping-and-applyload/m-p/1999505#M554</link>
      <description>&lt;P&gt;[Past Orders]:&lt;BR /&gt;LOAD&lt;BR /&gt;[Order Date],&lt;BR /&gt;[SKU ID] ,&lt;BR /&gt;[Order Quantity]&lt;BR /&gt;FROM [lib://DataFiles/Inventory Data.xlsx]&lt;BR /&gt;(ooxml, embedded labels, table is [Past Orders]);&lt;/P&gt;
&lt;P&gt;Join [Past Orders]:&lt;BR /&gt;LOAD&lt;BR /&gt;[SKU ID] ,&lt;BR /&gt;[Current Stock Quantity],&lt;BR /&gt;[Units (Nos/Kg)],&lt;BR /&gt;[Average Lead Time (days)],&lt;BR /&gt;[Maximum Lead Time (days)],&lt;BR /&gt;[Unit Price] ,&lt;BR /&gt;[Unit Price]/2 as divided,&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;P&gt;i want to multiply unit price and order quantity using mapping how to do it??&lt;/P&gt;</description>
      <pubDate>Wed, 19 Mar 2025 23:06:21 GMT</pubDate>
      <guid>https://community.qlik.com/t5/Data-Movement-Streaming/mapping-and-applyload/m-p/1999505#M554</guid>
      <dc:creator>shubham21</dc:creator>
      <dc:date>2025-03-19T23:06:21Z</dc:date>
    </item>
    <item>
      <title>Re: mapping and applyload</title>
      <link>https://community.qlik.com/t5/Data-Movement-Streaming/mapping-and-applyload/m-p/1999527#M555</link>
      <description>&lt;P&gt;Hi, this is a join, not a mapping.&lt;/P&gt;
&lt;P&gt;A join merges two tables in a single tble, if the 2nd table has only one row by SKU this could also work.&lt;/P&gt;
&lt;P&gt;In this case you can de a lod using this table as source using resident&lt;/P&gt;
&lt;LI-CODE lang="markup"&gt;Finaltable:
LOAD *,
  [Order Quantity]*[Unit Price] as Amount
Resident  [Past Orders];

DROp Table [Past Orders];&lt;/LI-CODE&gt;
&lt;P&gt;The other option is using a mapping table, check the example:&amp;nbsp;&lt;A href="https://help.qlik.com/en-US/qlikview/May2022/Subsystems/Client/Content/QV_QlikView/Scripting/MappingFunctions/ApplyMap.htm" target="_blank"&gt;https://help.qlik.com/en-US/qlikview/May2022/Subsystems/Client/Content/QV_QlikView/Scripting/MappingFunctions/ApplyMap.htm&lt;/A&gt;&lt;/P&gt;</description>
      <pubDate>Wed, 02 Nov 2022 11:04:30 GMT</pubDate>
      <guid>https://community.qlik.com/t5/Data-Movement-Streaming/mapping-and-applyload/m-p/1999527#M555</guid>
      <dc:creator>rubenmarin</dc:creator>
      <dc:date>2022-11-02T11:04:30Z</dc:date>
    </item>
    <item>
      <title>Re: mapping and applyload</title>
      <link>https://community.qlik.com/t5/Data-Movement-Streaming/mapping-and-applyload/m-p/1999932#M556</link>
      <description>&lt;P&gt;yeah it worked with mapping&lt;/P&gt;</description>
      <pubDate>Thu, 03 Nov 2022 07:30:11 GMT</pubDate>
      <guid>https://community.qlik.com/t5/Data-Movement-Streaming/mapping-and-applyload/m-p/1999932#M556</guid>
      <dc:creator>shubham21</dc:creator>
      <dc:date>2022-11-03T07:30:11Z</dc:date>
    </item>
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