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    <title>topic Re: Calling a dataflow gen2 in a data pipeline in append mode in Dataflow</title>
    <link>https://community.fabric.microsoft.com/t5/Dataflow/Calling-a-dataflow-gen2-in-a-data-pipeline-in-append-mode/m-p/4025685#M3316</link>
    <description>&lt;P&gt;&lt;a href="javascript:void(0)" data-lia-user-mentions="" data-lia-user-uid="226550" data-lia-user-login="NandanHegde" class="lia-mention lia-mention-user"&gt;NandanHegde&lt;/a&gt;&amp;nbsp; In case of Append, if we are using a source like Sharepoint Folder or otherwise and want to bring the incremental changes only, the data is getting duplicated in Lakehouse. Is there a way to get around this.&lt;/P&gt;</description>
    <pubDate>Thu, 04 Jul 2024 20:09:10 GMT</pubDate>
    <dc:creator>bhanu_bi</dc:creator>
    <dc:date>2024-07-04T20:09:10Z</dc:date>
    <item>
      <title>Calling a dataflow gen2 in a data pipeline in append mode</title>
      <link>https://community.fabric.microsoft.com/t5/Dataflow/Calling-a-dataflow-gen2-in-a-data-pipeline-in-append-mode/m-p/4021906#M3289</link>
      <description>&lt;P&gt;Hi,&lt;/P&gt;&lt;P&gt;I've implemented a dataflow gen2 to perform some transformations respect to source data and then copying them in the destination.&lt;/P&gt;&lt;P&gt;Moreover, I've created a data pipeline to use this dataflow but I've noticed and tried that when running the pipeline the destination is overwritten.&lt;/P&gt;&lt;P&gt;Now, does a dataflow allow to write data in the destination in append mode and not in overwrite mode, please?&lt;/P&gt;&lt;P&gt;I don't understand because a such option doesn't exist. Thanks&lt;/P&gt;</description>
      <pubDate>Wed, 03 Jul 2024 05:51:20 GMT</pubDate>
      <guid>https://community.fabric.microsoft.com/t5/Dataflow/Calling-a-dataflow-gen2-in-a-data-pipeline-in-append-mode/m-p/4021906#M3289</guid>
      <dc:creator>pmscorca</dc:creator>
      <dc:date>2024-07-03T05:51:20Z</dc:date>
    </item>
    <item>
      <title>Re: Calling a dataflow gen2 in a data pipeline in append mode</title>
      <link>https://community.fabric.microsoft.com/t5/Dataflow/Calling-a-dataflow-gen2-in-a-data-pipeline-in-append-mode/m-p/4022460#M3295</link>
      <description>&lt;P&gt;If you turn off the automatic settings,&lt;/P&gt;
&lt;P&gt;&lt;img /&gt;&lt;/P&gt;
&lt;P&gt;you can use append function rather than replace in dataflow gnen 2&lt;/P&gt;</description>
      <pubDate>Wed, 03 Jul 2024 08:57:59 GMT</pubDate>
      <guid>https://community.fabric.microsoft.com/t5/Dataflow/Calling-a-dataflow-gen2-in-a-data-pipeline-in-append-mode/m-p/4022460#M3295</guid>
      <dc:creator>NandanHegde</dc:creator>
      <dc:date>2024-07-03T08:57:59Z</dc:date>
    </item>
    <item>
      <title>Re: Calling a dataflow gen2 in a data pipeline in append mode</title>
      <link>https://community.fabric.microsoft.com/t5/Dataflow/Calling-a-dataflow-gen2-in-a-data-pipeline-in-append-mode/m-p/4025685#M3316</link>
      <description>&lt;P&gt;&lt;a href="javascript:void(0)" data-lia-user-mentions="" data-lia-user-uid="226550" data-lia-user-login="NandanHegde" class="lia-mention lia-mention-user"&gt;NandanHegde&lt;/a&gt;&amp;nbsp; In case of Append, if we are using a source like Sharepoint Folder or otherwise and want to bring the incremental changes only, the data is getting duplicated in Lakehouse. Is there a way to get around this.&lt;/P&gt;</description>
      <pubDate>Thu, 04 Jul 2024 20:09:10 GMT</pubDate>
      <guid>https://community.fabric.microsoft.com/t5/Dataflow/Calling-a-dataflow-gen2-in-a-data-pipeline-in-append-mode/m-p/4025685#M3316</guid>
      <dc:creator>bhanu_bi</dc:creator>
      <dc:date>2024-07-04T20:09:10Z</dc:date>
    </item>
    <item>
      <title>Re: Calling a dataflow gen2 in a data pipeline in append mode</title>
      <link>https://community.fabric.microsoft.com/t5/Dataflow/Calling-a-dataflow-gen2-in-a-data-pipeline-in-append-mode/m-p/4025711#M3317</link>
      <description>&lt;P&gt;If you want to append only new records, you can achieve that by following the pattern in these docs&amp;nbsp;&lt;A href="https://learn.microsoft.com/en-us/fabric/data-factory/tutorial-setup-incremental-refresh-with-dataflows-gen2" target="_blank" rel="noopener"&gt;https://learn.microsoft.com/en-us/fabric/data-factory/tutorial-setup-incremental-refresh-with-dataflows-gen2&lt;/A&gt;&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;If you want to do Upsert, then I think you need to use Notebook. It is shown code examples for Upsert in this tutorial: &lt;A href="https://microsoftlearning.github.io/mslearn-fabric/Instructions/Labs/03b-medallion-lakehouse.html" target="_blank"&gt;https://microsoftlearning.github.io/mslearn-fabric/Instructions/Labs/03b-medallion-lakehouse.html&lt;/A&gt;&lt;/P&gt;</description>
      <pubDate>Thu, 04 Jul 2024 20:35:20 GMT</pubDate>
      <guid>https://community.fabric.microsoft.com/t5/Dataflow/Calling-a-dataflow-gen2-in-a-data-pipeline-in-append-mode/m-p/4025711#M3317</guid>
      <dc:creator>frithjof_v</dc:creator>
      <dc:date>2024-07-04T20:35:20Z</dc:date>
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