<?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 Re: About Pipeline Query in Data Engineering</title>
    <link>https://community.fabric.microsoft.com/t5/Data-Engineering/About-Pipeline-Query/m-p/4896853#M13951</link>
    <description>&lt;P&gt;Thank you&amp;nbsp;@Anonymous&lt;/a&gt;&amp;nbsp;&lt;/P&gt;</description>
    <pubDate>Tue, 09 Dec 2025 10:00:57 GMT</pubDate>
    <dc:creator>kye1crystal</dc:creator>
    <dc:date>2025-12-09T10:00:57Z</dc:date>
    <item>
      <title>About Pipeline Query</title>
      <link>https://community.fabric.microsoft.com/t5/Data-Engineering/About-Pipeline-Query/m-p/4878130#M13525</link>
      <description>&lt;P&gt;Hi Team,&lt;BR /&gt;&lt;BR /&gt;I met a problem that when I use Lookup from Fabric Pipeline, linking lakehouse and I can't find the "Query" even I choose Table.&lt;BR /&gt;The case is that I create a table to be the watermark to do increamental load but cant find&amp;nbsp;"Query" when using Lookup in Pipeline.&lt;BR /&gt;Please help. Thank you guys.&lt;BR /&gt;&lt;BR /&gt;Best Regards,&lt;BR /&gt;Kye&lt;/P&gt;</description>
      <pubDate>Tue, 18 Nov 2025 02:32:40 GMT</pubDate>
      <guid>https://community.fabric.microsoft.com/t5/Data-Engineering/About-Pipeline-Query/m-p/4878130#M13525</guid>
      <dc:creator>kye1</dc:creator>
      <dc:date>2025-11-18T02:32:40Z</dc:date>
    </item>
    <item>
      <title>Re: About Pipeline Query</title>
      <link>https://community.fabric.microsoft.com/t5/Data-Engineering/About-Pipeline-Query/m-p/4878702#M13542</link>
      <description>&lt;P&gt;Hi&amp;nbsp;&lt;a href="https://community.fabric.microsoft.com/t5/user/viewprofilepage/user-id/1420434"&gt;@kye1&lt;/a&gt;,&amp;nbsp;&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;THe Lookup activity does not support queries for lakehouses, only Tables and Files.&amp;nbsp;&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;&amp;nbsp;I recommend you vote for this idea:&amp;nbsp;&lt;A href="https://community.fabric.microsoft.com/t5/Fabric-Ideas/Query-a-lakehouse-using-LookUP-Activity/idc-p/4733748" target="_blank"&gt;Query a lakehouse using LookUP Activity - Microsoft Fabric Community&lt;/A&gt;&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;&lt;EM&gt;&lt;STRONG&gt;If you found this helpful, consider giving some Kudos. If I answered your question or solved your problem, mark this post as the solution.&lt;/STRONG&gt;&lt;/EM&gt;&lt;/P&gt;</description>
      <pubDate>Tue, 18 Nov 2025 14:42:59 GMT</pubDate>
      <guid>https://community.fabric.microsoft.com/t5/Data-Engineering/About-Pipeline-Query/m-p/4878702#M13542</guid>
      <dc:creator>tayloramy</dc:creator>
      <dc:date>2025-11-18T14:42:59Z</dc:date>
    </item>
    <item>
      <title>Re: About Pipeline Query</title>
      <link>https://community.fabric.microsoft.com/t5/Data-Engineering/About-Pipeline-Query/m-p/4878885#M13545</link>
      <description>&lt;P&gt;You can use Azure SQL Db connector and connect to the lakehouse via SQL anlaytics endpoint and then use look up activity and query&amp;nbsp;&lt;/P&gt;</description>
      <pubDate>Tue, 18 Nov 2025 17:21:09 GMT</pubDate>
      <guid>https://community.fabric.microsoft.com/t5/Data-Engineering/About-Pipeline-Query/m-p/4878885#M13545</guid>
      <dc:creator>NandanHegde</dc:creator>
      <dc:date>2025-11-18T17:21:09Z</dc:date>
    </item>
    <item>
      <title>Re: About Pipeline Query</title>
      <link>https://community.fabric.microsoft.com/t5/Data-Engineering/About-Pipeline-Query/m-p/4879142#M13556</link>
      <description>&lt;P&gt;Thanks&amp;nbsp;&lt;a href="https://community.fabric.microsoft.com/t5/user/viewprofilepage/user-id/1340679"&gt;@tayloramy&lt;/a&gt;&amp;nbsp; and&amp;nbsp;&lt;a href="https://community.fabric.microsoft.com/t5/user/viewprofilepage/user-id/226550"&gt;@NandanHegde&lt;/a&gt;. You guys do help me a lot&lt;/P&gt;</description>
      <pubDate>Wed, 19 Nov 2025 01:30:12 GMT</pubDate>
      <guid>https://community.fabric.microsoft.com/t5/Data-Engineering/About-Pipeline-Query/m-p/4879142#M13556</guid>
      <dc:creator>kye1crystal</dc:creator>
      <dc:date>2025-11-19T01:30:12Z</dc:date>
    </item>
    <item>
      <title>Re: About Pipeline Query</title>
      <link>https://community.fabric.microsoft.com/t5/Data-Engineering/About-Pipeline-Query/m-p/4879163#M13561</link>
      <description>&lt;P&gt;Glad it was helpful &lt;span class="lia-unicode-emoji" title=":slightly_smiling_face:"&gt;🙂&lt;/span&gt;&lt;/P&gt;</description>
      <pubDate>Wed, 19 Nov 2025 02:13:08 GMT</pubDate>
      <guid>https://community.fabric.microsoft.com/t5/Data-Engineering/About-Pipeline-Query/m-p/4879163#M13561</guid>
      <dc:creator>NandanHegde</dc:creator>
      <dc:date>2025-11-19T02:13:08Z</dc:date>
    </item>
    <item>
      <title>Re: About Pipeline Query</title>
      <link>https://community.fabric.microsoft.com/t5/Data-Engineering/About-Pipeline-Query/m-p/4881615#M13615</link>
      <description>&lt;P&gt;Hi&amp;nbsp;&lt;a href="https://community.fabric.microsoft.com/t5/user/viewprofilepage/user-id/1420434"&gt;@kye1&lt;/a&gt;&amp;nbsp;,&lt;/P&gt;
&lt;P&gt;Thank you for reaching out to the Microsoft Fabric Community Forum.&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;P&gt;Could you please let us know if the issue has been resolved?&amp;nbsp;I wanted to check if you had the opportunity to review the information provided by&amp;nbsp; &lt;a href="https://community.fabric.microsoft.com/t5/user/viewprofilepage/user-id/226550"&gt;@NandanHegde&lt;/a&gt;&amp;nbsp;and&amp;nbsp;&lt;a href="https://community.fabric.microsoft.com/t5/user/viewprofilepage/user-id/1340679"&gt;@tayloramy&lt;/a&gt;&amp;nbsp; . If you still require support, please let us know, we are happy to assist you.&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;P&gt;Thank you.&lt;/P&gt;</description>
      <pubDate>Fri, 21 Nov 2025 01:42:05 GMT</pubDate>
      <guid>https://community.fabric.microsoft.com/t5/Data-Engineering/About-Pipeline-Query/m-p/4881615#M13615</guid>
      <dc:creator>Anonymous</dc:creator>
      <dc:date>2025-11-21T01:42:05Z</dc:date>
    </item>
    <item>
      <title>Re: About Pipeline Query</title>
      <link>https://community.fabric.microsoft.com/t5/Data-Engineering/About-Pipeline-Query/m-p/4889302#M13781</link>
      <description>&lt;P&gt;Hi&amp;nbsp;&lt;a href="https://community.fabric.microsoft.com/t5/user/viewprofilepage/user-id/1420434"&gt;@kye1&lt;/a&gt;&amp;nbsp;,&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;P&gt;&lt;SPAN data-teams="true"&gt;We haven’t received an update from you in some time. Could you please let us know if the issue has been resolved?&lt;BR /&gt;If you still require support, please let us know, we are happy to assist you.&lt;/SPAN&gt;&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;P&gt;&lt;SPAN data-teams="true"&gt;Thank you.&lt;/SPAN&gt;&lt;/P&gt;</description>
      <pubDate>Mon, 01 Dec 2025 05:20:56 GMT</pubDate>
      <guid>https://community.fabric.microsoft.com/t5/Data-Engineering/About-Pipeline-Query/m-p/4889302#M13781</guid>
      <dc:creator>Anonymous</dc:creator>
      <dc:date>2025-12-01T05:20:56Z</dc:date>
    </item>
    <item>
      <title>Re: About Pipeline Query</title>
      <link>https://community.fabric.microsoft.com/t5/Data-Engineering/About-Pipeline-Query/m-p/4890074#M13801</link>
      <description>&lt;P&gt;Hi&amp;nbsp;@Anonymous&lt;/a&gt;&amp;nbsp;,&lt;BR /&gt;The priority of this job seems to lower. So I didn't continue. I will update when I keep finding something. Thanks.&lt;/P&gt;</description>
      <pubDate>Tue, 02 Dec 2025 01:11:09 GMT</pubDate>
      <guid>https://community.fabric.microsoft.com/t5/Data-Engineering/About-Pipeline-Query/m-p/4890074#M13801</guid>
      <dc:creator>kye1crystal</dc:creator>
      <dc:date>2025-12-02T01:11:09Z</dc:date>
    </item>
    <item>
      <title>Re: About Pipeline Query</title>
      <link>https://community.fabric.microsoft.com/t5/Data-Engineering/About-Pipeline-Query/m-p/4891660#M13824</link>
      <description>&lt;P&gt;Hi&amp;nbsp;&lt;a href="https://community.fabric.microsoft.com/t5/user/viewprofilepage/user-id/1420434"&gt;@kye1&lt;/a&gt;&amp;nbsp;,&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;P&gt;There is an option in Copy activity , are you looking for something like this?&lt;/P&gt;
&lt;P&gt;&lt;span class="lia-inline-image-display-wrapper lia-image-align-inline" image-alt="Srisakthi_0-1764761794371.png" style="width: 400px;"&gt;&lt;img src="https://community.fabric.microsoft.com/t5/image/serverpage/image-id/1314352iEBAC324145BFD012/image-size/medium?v=v2&amp;amp;px=400" role="button" title="Srisakthi_0-1764761794371.png" alt="Srisakthi_0-1764761794371.png" /&gt;&lt;/span&gt;&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;P&gt;Regards,&lt;/P&gt;
&lt;P&gt;Srisakthi&lt;/P&gt;</description>
      <pubDate>Wed, 03 Dec 2025 11:36:48 GMT</pubDate>
      <guid>https://community.fabric.microsoft.com/t5/Data-Engineering/About-Pipeline-Query/m-p/4891660#M13824</guid>
      <dc:creator>Srisakthi</dc:creator>
      <dc:date>2025-12-03T11:36:48Z</dc:date>
    </item>
    <item>
      <title>Re: About Pipeline Query</title>
      <link>https://community.fabric.microsoft.com/t5/Data-Engineering/About-Pipeline-Query/m-p/4892303#M13843</link>
      <description>&lt;P&gt;Hi&amp;nbsp;&lt;a href="https://community.fabric.microsoft.com/t5/user/viewprofilepage/user-id/782160"&gt;@Srisakthi&lt;/a&gt;&amp;nbsp;&amp;nbsp;,&lt;BR /&gt;Yes , I am looking for this T-SQL Query option in Look-up&amp;nbsp;&lt;SPAN&gt;activity&lt;/SPAN&gt;&lt;/P&gt;</description>
      <pubDate>Thu, 04 Dec 2025 01:23:15 GMT</pubDate>
      <guid>https://community.fabric.microsoft.com/t5/Data-Engineering/About-Pipeline-Query/m-p/4892303#M13843</guid>
      <dc:creator>kye1crystal</dc:creator>
      <dc:date>2025-12-04T01:23:15Z</dc:date>
    </item>
    <item>
      <title>Re: About Pipeline Query</title>
      <link>https://community.fabric.microsoft.com/t5/Data-Engineering/About-Pipeline-Query/m-p/4896848#M13950</link>
      <description>&lt;P&gt;Hi&amp;nbsp;&lt;a href="https://community.fabric.microsoft.com/t5/user/viewprofilepage/user-id/1372451"&gt;@kye1crystal&lt;/a&gt;&amp;nbsp;,&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;P&gt;Thank you for clarifying. The T-SQL Query option shown in your screenshot is only available in the Copy Data activity when using the Lakehouse SQL analytics endpoint.&lt;/P&gt;
&lt;P&gt;For the Lookup activity, this option isn't supported with Lakehouse connections. Lookup can reference only Tables or Files, which is why you don't see the query textbox.&lt;/P&gt;
&lt;P&gt;If you want to run a query as part of your Lookup logic, you can use the Azure SQL Database connector and connect it to the Lakehouse SQL analytics endpoint. This way, Lookup will support T-SQL queries.&lt;/P&gt;
&lt;P&gt;I hope this explains the behavior.&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;P&gt;Thank you.&lt;/P&gt;</description>
      <pubDate>Tue, 09 Dec 2025 09:58:22 GMT</pubDate>
      <guid>https://community.fabric.microsoft.com/t5/Data-Engineering/About-Pipeline-Query/m-p/4896848#M13950</guid>
      <dc:creator>Anonymous</dc:creator>
      <dc:date>2025-12-09T09:58:22Z</dc:date>
    </item>
    <item>
      <title>Re: About Pipeline Query</title>
      <link>https://community.fabric.microsoft.com/t5/Data-Engineering/About-Pipeline-Query/m-p/4896853#M13951</link>
      <description>&lt;P&gt;Thank you&amp;nbsp;@Anonymous&lt;/a&gt;&amp;nbsp;&lt;/P&gt;</description>
      <pubDate>Tue, 09 Dec 2025 10:00:57 GMT</pubDate>
      <guid>https://community.fabric.microsoft.com/t5/Data-Engineering/About-Pipeline-Query/m-p/4896853#M13951</guid>
      <dc:creator>kye1crystal</dc:creator>
      <dc:date>2025-12-09T10:00:57Z</dc:date>
    </item>
    <item>
      <title>Re: About Pipeline Query</title>
      <link>https://community.fabric.microsoft.com/t5/Data-Engineering/About-Pipeline-Query/m-p/4910349#M14349</link>
      <description>&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;In Fabric Data Pipeline → Lookup activity:&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;When you connect Lakehouse and select Table&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;Fabric does NOT show a “Query” option&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;&lt;span class="lia-unicode-emoji" title=":backhand_index_pointing_right:"&gt;👉&lt;/span&gt; Because Lookup with Lakehouse only supports table-level access, not custom SQL queries.&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;Important Limitation (Key Point)&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;&lt;span class="lia-unicode-emoji" title=":red_circle:"&gt;🔴&lt;/span&gt; Lookup activity in Fabric does NOT support SQL queries on Lakehouse tables&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;That’s why:&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;You only see Table&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;No Query textbox appears&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;You cannot write SELECT MAX(watermark) directly&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;---&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;How to Handle Watermark for Incremental Load (Correct Ways)&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;&lt;span class="lia-unicode-emoji" title=":white_heavy_check_mark:"&gt;✅&lt;/span&gt; Option 1: Use Lakehouse Table with Single Row&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;Best &amp;amp; simplest approach.&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;Design your watermark table like this:&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;watermark_value&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;2024-12-01 00:00:00&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;Then in Lookup:&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;Source: Lakehouse&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;Table: watermark_table&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;First row only: &lt;span class="lia-unicode-emoji" title=":white_heavy_check_mark:"&gt;✅&lt;/span&gt; enabled&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;You can access it using:&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;@activity('Lookup_Watermark').output.firstRow.watermark_value&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;✔ No query needed&lt;/P&gt;&lt;P&gt;✔ Fully supported&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;---&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;&lt;span class="lia-unicode-emoji" title=":white_heavy_check_mark:"&gt;✅&lt;/span&gt; Option 2: Use Notebook activity (Recommended for flexibility)&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;If you need:&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;MAX()&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;filtering&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;complex logic&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;Then:&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;1. Use Notebook activity&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;2. Run Spark SQL:&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;SELECT MAX(watermark_value) AS watermark FROM watermark_table&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;3. Return the value&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;4. Use it in the pipeline via notebook output&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;✔ Most flexible&lt;/P&gt;&lt;P&gt;✔ Best practice for complex logic&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;---&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;&lt;span class="lia-unicode-emoji" title=":white_heavy_check_mark:"&gt;✅&lt;/span&gt; Option 3: Use Warehouse instead of Lakehouse&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;If your watermark table is in a Fabric Warehouse:&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;Lookup → Source = Warehouse&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;You will see “Query”&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;You can write SQL normally&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;---&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;Summary (Quick Answer)&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;Scenario Query Visible?&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;Lakehouse + Lookup &lt;span class="lia-unicode-emoji" title=":cross_mark:"&gt;❌&lt;/span&gt; No&lt;/P&gt;&lt;P&gt;Warehouse + Lookup &lt;span class="lia-unicode-emoji" title=":white_heavy_check_mark:"&gt;✅&lt;/span&gt; Yes&lt;/P&gt;&lt;P&gt;Notebook + Lakehouse &lt;span class="lia-unicode-emoji" title=":white_heavy_check_mark:"&gt;✅&lt;/span&gt; Yes&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;---&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;Recommended Architecture for Incremental Load&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;✔ Watermark table = 1 row only&lt;/P&gt;&lt;P&gt;✔ Use Lookup (table) OR Notebook&lt;/P&gt;&lt;P&gt;&lt;span class="lia-unicode-emoji" title=":cross_mark:"&gt;❌&lt;/span&gt; Do not expect SQL Query option in Lakehouse Lookup&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;How you want to update watermark&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;I’ll design the exact incremental pipeline flow for you step by step &lt;span class="lia-unicode-emoji" title=":rocket:"&gt;🚀&lt;/span&gt;&lt;/P&gt;</description>
      <pubDate>Tue, 30 Dec 2025 13:08:44 GMT</pubDate>
      <guid>https://community.fabric.microsoft.com/t5/Data-Engineering/About-Pipeline-Query/m-p/4910349#M14349</guid>
      <dc:creator>Haseeb9</dc:creator>
      <dc:date>2025-12-30T13:08:44Z</dc:date>
    </item>
  </channel>
</rss>

