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    <title>topic Re: Spark Excel Library Insufficient Privileges in Get Started Discussions</title>
    <link>https://community.databricks.com/t5/get-started-discussions/spark-excel-library-insufficient-privileges/m-p/72149#M7417</link>
    <description>&lt;P&gt;Hello James, this issue seems to be related to shared cluster limitations, as per docs:&amp;nbsp;&lt;SPAN&gt;Libraries used as JDBC drivers or custom Spark data sources on Unity Catalog-enabled shared compute require&amp;nbsp;&lt;/SPAN&gt;&lt;CODE class="docutils literal notranslate"&gt;&lt;SPAN class="pre"&gt;ANY&lt;/SPAN&gt;&lt;SPAN&gt;&amp;nbsp;&lt;/SPAN&gt;&lt;SPAN class="pre"&gt;FILE&lt;/SPAN&gt;&lt;/CODE&gt;&lt;SPAN&gt;&amp;nbsp;permissions.&lt;BR /&gt;&lt;BR /&gt;Moving to a single user cluster must resolve the requirement of ANY FILE permission&lt;/SPAN&gt;&lt;/P&gt;</description>
    <pubDate>Sat, 08 Jun 2024 20:51:50 GMT</pubDate>
    <dc:creator>Walter_C</dc:creator>
    <dc:date>2024-06-08T20:51:50Z</dc:date>
    <item>
      <title>Spark Excel Library Insufficient Privileges</title>
      <link>https://community.databricks.com/t5/get-started-discussions/spark-excel-library-insufficient-privileges/m-p/72010#M7416</link>
      <description>&lt;P&gt;Hi&lt;/P&gt;&lt;P&gt;We have a shared access mode cluster in which we have installed a maven library for reading excel files into a Spark DataFrame. When using an account with admin rights everything works fine, however when we run it as a standar user we always get `&lt;/P&gt;&lt;DIV class=""&gt;&lt;DIV class=""&gt;&lt;DIV class=""&gt;&lt;DIV&gt;&lt;DIV class=""&gt;org.apache.spark.SparkSecurityException: [INSUFFICIENT_PERMISSIONS] Insufficient privileges:`&lt;/DIV&gt;&lt;DIV class=""&gt;&amp;nbsp;&lt;/DIV&gt;&lt;DIV class=""&gt;&lt;span class="lia-inline-image-display-wrapper lia-image-align-inline" image-alt="jamesdavids_0-1717747232287.png" style="width: 400px;"&gt;&lt;img src="https://community.databricks.com/t5/image/serverpage/image-id/8135iDB914D7F0D811749/image-size/medium/is-moderation-mode/true?v=v2&amp;amp;px=400" role="button" title="jamesdavids_0-1717747232287.png" alt="jamesdavids_0-1717747232287.png" /&gt;&lt;/span&gt;&lt;P&gt;We have managed to fix this by granting standard users the ANY FILE securable. However we would like to use a different approach since s&lt;SPAN&gt;ome installed libraries store data of all users in one common temp directory. These libraries might compromise user isolation. Do you know how can we make this work without granting ANY FILE to standard users? Thanks in advance.&lt;/SPAN&gt;&lt;/P&gt;&lt;/DIV&gt;&lt;/DIV&gt;&lt;/DIV&gt;&lt;/DIV&gt;&lt;/DIV&gt;</description>
      <pubDate>Fri, 07 Jun 2024 08:02:42 GMT</pubDate>
      <guid>https://community.databricks.com/t5/get-started-discussions/spark-excel-library-insufficient-privileges/m-p/72010#M7416</guid>
      <dc:creator>jamesdavids</dc:creator>
      <dc:date>2024-06-07T08:02:42Z</dc:date>
    </item>
    <item>
      <title>Re: Spark Excel Library Insufficient Privileges</title>
      <link>https://community.databricks.com/t5/get-started-discussions/spark-excel-library-insufficient-privileges/m-p/72149#M7417</link>
      <description>&lt;P&gt;Hello James, this issue seems to be related to shared cluster limitations, as per docs:&amp;nbsp;&lt;SPAN&gt;Libraries used as JDBC drivers or custom Spark data sources on Unity Catalog-enabled shared compute require&amp;nbsp;&lt;/SPAN&gt;&lt;CODE class="docutils literal notranslate"&gt;&lt;SPAN class="pre"&gt;ANY&lt;/SPAN&gt;&lt;SPAN&gt;&amp;nbsp;&lt;/SPAN&gt;&lt;SPAN class="pre"&gt;FILE&lt;/SPAN&gt;&lt;/CODE&gt;&lt;SPAN&gt;&amp;nbsp;permissions.&lt;BR /&gt;&lt;BR /&gt;Moving to a single user cluster must resolve the requirement of ANY FILE permission&lt;/SPAN&gt;&lt;/P&gt;</description>
      <pubDate>Sat, 08 Jun 2024 20:51:50 GMT</pubDate>
      <guid>https://community.databricks.com/t5/get-started-discussions/spark-excel-library-insufficient-privileges/m-p/72149#M7417</guid>
      <dc:creator>Walter_C</dc:creator>
      <dc:date>2024-06-08T20:51:50Z</dc:date>
    </item>
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