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    <title>topic Re: Which is Spark version supported by Fabric in Data Engineering</title>
    <link>https://community.fabric.microsoft.com/t5/Data-Engineering/Which-is-Spark-version-supported-by-Fabric/m-p/4021347#M2802</link>
    <description>&lt;P&gt;&lt;A href="https://learn.microsoft.com/en-us/fabric/data-engineering/runtime" target="_blank"&gt;https://learn.microsoft.com/en-us/fabric/data-engineering/runtime&lt;/A&gt;&lt;/P&gt;</description>
    <pubDate>Tue, 02 Jul 2024 22:52:07 GMT</pubDate>
    <dc:creator>frithjof_v</dc:creator>
    <dc:date>2024-07-02T22:52:07Z</dc:date>
    <item>
      <title>Which is Spark version supported by Fabric</title>
      <link>https://community.fabric.microsoft.com/t5/Data-Engineering/Which-is-Spark-version-supported-by-Fabric/m-p/4021235#M2800</link>
      <description>&lt;P&gt;Hi,&lt;/P&gt;&lt;P&gt;I'd like to know which Spark version is supported by Fabric.&lt;/P&gt;&lt;P&gt;Any suggests to me? Thanks&lt;/P&gt;</description>
      <pubDate>Tue, 02 Jul 2024 19:56:59 GMT</pubDate>
      <guid>https://community.fabric.microsoft.com/t5/Data-Engineering/Which-is-Spark-version-supported-by-Fabric/m-p/4021235#M2800</guid>
      <dc:creator>pmscorca</dc:creator>
      <dc:date>2024-07-02T19:56:59Z</dc:date>
    </item>
    <item>
      <title>Re: Which is Spark version supported by Fabric</title>
      <link>https://community.fabric.microsoft.com/t5/Data-Engineering/Which-is-Spark-version-supported-by-Fabric/m-p/4021347#M2802</link>
      <description>&lt;P&gt;&lt;A href="https://learn.microsoft.com/en-us/fabric/data-engineering/runtime" target="_blank"&gt;https://learn.microsoft.com/en-us/fabric/data-engineering/runtime&lt;/A&gt;&lt;/P&gt;</description>
      <pubDate>Tue, 02 Jul 2024 22:52:07 GMT</pubDate>
      <guid>https://community.fabric.microsoft.com/t5/Data-Engineering/Which-is-Spark-version-supported-by-Fabric/m-p/4021347#M2802</guid>
      <dc:creator>frithjof_v</dc:creator>
      <dc:date>2024-07-02T22:52:07Z</dc:date>
    </item>
    <item>
      <title>Re: Which is Spark version supported by Fabric</title>
      <link>https://community.fabric.microsoft.com/t5/Data-Engineering/Which-is-Spark-version-supported-by-Fabric/m-p/4021466#M2805</link>
      <description>&lt;P&gt;Hi &lt;a href="https://community.fabric.microsoft.com/t5/user/viewprofilepage/user-id/719515"&gt;@pmscorca&lt;/a&gt;&amp;nbsp;,&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;P&gt;Thanks a lot &lt;a href="https://community.fabric.microsoft.com/t5/user/viewprofilepage/user-id/437984"&gt;@frithjof_v&lt;/a&gt;&amp;nbsp;for your attention to this case, the links provided were very helpful.&lt;/P&gt;
&lt;P&gt;&lt;span class="lia-inline-image-display-wrapper lia-image-align-inline" image-alt="vhuijieymsft_1-1719969967043.png" style="width: 400px;"&gt;&lt;img src="https://community.fabric.microsoft.com/t5/image/serverpage/image-id/1125678iE4FA313CB5E93334/image-size/medium?v=v2&amp;amp;px=400" role="button" title="vhuijieymsft_1-1719969967043.png" alt="vhuijieymsft_1-1719969967043.png" /&gt;&lt;/span&gt;&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;P&gt;I would like to add that you can view the current Spark version by opening the notebook and selecting "&lt;STRONG&gt;Workspace default&lt;/STRONG&gt;", in my case you can see that Spark version 3.4 is the supported version.&lt;/P&gt;
&lt;P&gt;&lt;span class="lia-inline-image-display-wrapper lia-image-align-inline" image-alt="vhuijieymsft_0-1719969923378.png" style="width: 400px;"&gt;&lt;img src="https://community.fabric.microsoft.com/t5/image/serverpage/image-id/1125677i6FD626B39EAC6420/image-size/medium?v=v2&amp;amp;px=400" role="button" title="vhuijieymsft_0-1719969923378.png" alt="vhuijieymsft_0-1719969923378.png" /&gt;&lt;/span&gt;&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;P&gt;If you have any other questions please feel free to contact me.&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;P&gt;Best Regards,&lt;BR /&gt;Yang&lt;BR /&gt;Community Support Team&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;P&gt;If there is any post&amp;nbsp;&lt;STRONG&gt;&lt;EM&gt;helps&lt;/EM&gt;&lt;/STRONG&gt;, then please consider&amp;nbsp;&lt;STRONG&gt;&lt;EM&gt;Accept it as the solution&lt;/EM&gt;&lt;/STRONG&gt;&amp;nbsp;&amp;nbsp;to help the other members find it more quickly.&lt;BR /&gt;If I misunderstand your needs or you still have problems on it, please feel free to let us know.&amp;nbsp;&lt;STRONG&gt;&lt;EM&gt;Thanks a lot!&lt;/EM&gt;&lt;/STRONG&gt;&lt;/P&gt;</description>
      <pubDate>Wed, 03 Jul 2024 01:26:44 GMT</pubDate>
      <guid>https://community.fabric.microsoft.com/t5/Data-Engineering/Which-is-Spark-version-supported-by-Fabric/m-p/4021466#M2805</guid>
      <dc:creator>Anonymous</dc:creator>
      <dc:date>2024-07-03T01:26:44Z</dc:date>
    </item>
    <item>
      <title>Re: Which is Spark version supported by Fabric</title>
      <link>https://community.fabric.microsoft.com/t5/Data-Engineering/Which-is-Spark-version-supported-by-Fabric/m-p/4021843#M2807</link>
      <description>&lt;P&gt;Hi, I'm new with Spark and I've appreciated your help, thanks.&lt;/P&gt;&lt;P&gt;I'd like to know if it exists a set of pyspark templates for Fabric to have a look. In particular, I'm searching a template to create or define a table using pyspark, a table with column having a specific data type and a specific dimension (f.e. char/varchar(20)) as possible with a T-SQL create table statement.&lt;/P&gt;&lt;P&gt;It should be useful to have a set of pyspark templates that function in Fabric successfully.&lt;/P&gt;&lt;P&gt;Thanks&lt;/P&gt;</description>
      <pubDate>Wed, 03 Jul 2024 05:22:09 GMT</pubDate>
      <guid>https://community.fabric.microsoft.com/t5/Data-Engineering/Which-is-Spark-version-supported-by-Fabric/m-p/4021843#M2807</guid>
      <dc:creator>pmscorca</dc:creator>
      <dc:date>2024-07-03T05:22:09Z</dc:date>
    </item>
    <item>
      <title>Re: Which is Spark version supported by Fabric</title>
      <link>https://community.fabric.microsoft.com/t5/Data-Engineering/Which-is-Spark-version-supported-by-Fabric/m-p/4023348#M2820</link>
      <description>&lt;P&gt;I never tried the template snippets, but maybe they can be helpful:&lt;/P&gt;&lt;P&gt;&lt;A href="https://learn.microsoft.com/en-us/fabric/data-engineering/author-execute-notebook#code-snippets" target="_blank" rel="noopener"&gt;https://learn.microsoft.com/en-us/fabric/data-engineering/author-execute-notebook#code-snippets&lt;/A&gt;&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;Here are some learning materials and exercise for working with PySpark, Dataframes, Tables:&lt;/P&gt;&lt;P&gt;&lt;A href="https://learn.microsoft.com/en-us/training/modules/use-apache-spark-work-files-lakehouse/" target="_blank" rel="noopener"&gt;https://learn.microsoft.com/en-us/training/modules/use-apache-spark-work-files-lakehouse/&lt;/A&gt;&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;&lt;A href="https://learn.microsoft.com/en-us/training/modules/work-delta-lake-tables-fabric/" target="_blank" rel="noopener"&gt;https://learn.microsoft.com/en-us/training/modules/work-delta-lake-tables-fabric/&lt;/A&gt;&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;Personally, ChatGPT has helped me solve some code questions regarding PySpark, SparkSQL, etc.&lt;/P&gt;&lt;P&gt;And also Googling for PySpark / Delta Lake questions can provide answers. Many Databricks related PySpark / Delta Lake questions and answers can be relevant also for Fabric.&lt;/P&gt;</description>
      <pubDate>Wed, 03 Jul 2024 16:30:28 GMT</pubDate>
      <guid>https://community.fabric.microsoft.com/t5/Data-Engineering/Which-is-Spark-version-supported-by-Fabric/m-p/4023348#M2820</guid>
      <dc:creator>frithjof_v</dc:creator>
      <dc:date>2024-07-03T16:30:28Z</dc:date>
    </item>
    <item>
      <title>Re: Which is Spark version supported by Fabric</title>
      <link>https://community.fabric.microsoft.com/t5/Data-Engineering/Which-is-Spark-version-supported-by-Fabric/m-p/4024014#M2823</link>
      <description>&lt;P&gt;Hi &lt;a href="https://community.fabric.microsoft.com/t5/user/viewprofilepage/user-id/719515"&gt;@pmscorca&lt;/a&gt;&amp;nbsp;,&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;P&gt;Thanks for the reply from&amp;nbsp;frithjof_v&amp;nbsp;.&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;P&gt;By default, all new workspaces use the latest runtime version, currently Runtime 1.2.&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;P&gt;For more information on Runtime 1.2, please see:&lt;/P&gt;
&lt;P&gt;&lt;A href="https://learn.microsoft.com/en-us/fabric/data-engineering/runtime-1-2" target="_blank"&gt;Runtime 1.2 in Fabric - Microsoft Fabric | Microsoft Learn&lt;/A&gt;&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;P&gt;Deep Dive into Apache Spark-based Runtime 1.2 Available in the Fabric.&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;P&gt;Take a deeper dive into Apache Spark-based Runtime 1.2 in the fabric and learn about its unique features, functionality, and best practices.&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;P&gt;Microsoft Fabric Runtime 1.2 is the &lt;STRONG&gt;latest&lt;/STRONG&gt; version of the &lt;STRONG&gt;GA&lt;/STRONG&gt; runtime.The key components of Runtime 1.2 include&lt;/P&gt;
&lt;UL&gt;
&lt;LI&gt;&lt;STRONG&gt;Apache Spark 3.4.1&lt;/STRONG&gt;&lt;/LI&gt;
&lt;LI&gt;Operating System: Mariner 2.0&lt;/LI&gt;
&lt;LI&gt;Java: 11&lt;/LI&gt;
&lt;LI&gt;Scala: 2.12.17&lt;/LI&gt;
&lt;LI&gt;Python 3.10&lt;/LI&gt;
&lt;LI&gt;Delta Lake: 2.4.0&lt;/LI&gt;
&lt;LI&gt;R: 4.2.2&lt;BR /&gt;&lt;BR /&gt;&lt;/LI&gt;
&lt;/UL&gt;
&lt;P&gt;Best Regards,&lt;BR /&gt;Yang&lt;BR /&gt;Community Support Team&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;P&gt;If there is any post&amp;nbsp;&lt;STRONG&gt;&lt;EM&gt;helps&lt;/EM&gt;&lt;/STRONG&gt;, then please consider&amp;nbsp;&lt;STRONG&gt;&lt;EM&gt;Accept it as the solution&lt;/EM&gt;&lt;/STRONG&gt;&amp;nbsp;&amp;nbsp;to help the other members find it more quickly.&lt;BR /&gt;If I misunderstand your needs or you still have problems on it, please feel free to let us know.&amp;nbsp;&lt;STRONG&gt;&lt;EM&gt;Thanks a lot!&lt;/EM&gt;&lt;/STRONG&gt;&lt;/P&gt;</description>
      <pubDate>Thu, 04 Jul 2024 02:48:43 GMT</pubDate>
      <guid>https://community.fabric.microsoft.com/t5/Data-Engineering/Which-is-Spark-version-supported-by-Fabric/m-p/4024014#M2823</guid>
      <dc:creator>Anonymous</dc:creator>
      <dc:date>2024-07-04T02:48:43Z</dc:date>
    </item>
    <item>
      <title>Re: Which is Spark version supported by Fabric</title>
      <link>https://community.fabric.microsoft.com/t5/Data-Engineering/Which-is-Spark-version-supported-by-Fabric/m-p/4170383#M4235</link>
      <description>&lt;P&gt;If you try to create a table in Lakehouse, you may encounter an error '&lt;SPAN&gt;Please ensure that the workspace is configured with Spark version &amp;lt;= 3.4 (i.e. Fabric runtime version &amp;lt;= 1.2)'&lt;/SPAN&gt;&lt;/P&gt;&lt;P&gt;&lt;SPAN&gt;The Spark version compatible with Fabric should be &amp;lt;=3.4 (Fabric runtime version &amp;lt;= 1.2).&lt;/SPAN&gt;&lt;/P&gt;&lt;P&gt;&lt;SPAN&gt;To check and modify the Spark version, follow the below steps:&lt;/SPAN&gt;&lt;/P&gt;&lt;P&gt;- Go to your Workspace&lt;/P&gt;&lt;P&gt;- Workspace Settings (top right)&lt;/P&gt;&lt;P&gt;- Expand 'Data Engineering/Science' from left pane&lt;/P&gt;&lt;P&gt;- Select 'Spark Settings'&lt;/P&gt;&lt;P&gt;- Go To 'Environments'&lt;/P&gt;&lt;P&gt;- Check 'Runtime Version'&lt;/P&gt;&lt;P&gt;- From the dropdown, select the Runtime Version 1.2&lt;/P&gt;&lt;P&gt;- Save&lt;/P&gt;&lt;P&gt;- Try creating the table again and it should work&lt;/P&gt;</description>
      <pubDate>Tue, 24 Sep 2024 11:30:54 GMT</pubDate>
      <guid>https://community.fabric.microsoft.com/t5/Data-Engineering/Which-is-Spark-version-supported-by-Fabric/m-p/4170383#M4235</guid>
      <dc:creator>RohtashvGehllot</dc:creator>
      <dc:date>2024-09-24T11:30:54Z</dc:date>
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