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    <title>topic Re: Public DBFS root is disabled in Databricks free edition in Data Engineering</title>
    <link>https://community.databricks.com/t5/data-engineering/public-dbfs-root-is-disabled-in-databricks-free-edition/m-p/142577#M51973</link>
    <description>&lt;P&gt;Hello,&lt;BR /&gt;&lt;BR /&gt;I would like to re-open this topic if possible. While using UC volumes was marked as accepted answer I would like to ask what are my options. I'm playing with custom logging handler and I would like to write logs into the files. Since DBFS is not enabled and UC volumes don't support direct I/O do I have some other options?&amp;nbsp;&lt;BR /&gt;&lt;BR /&gt;I could add handler to log into the table I'm not sure if I want to do row-by-row inserts.&amp;nbsp;&lt;BR /&gt;&lt;BR /&gt;Are there some other options?&lt;/P&gt;</description>
    <pubDate>Sun, 28 Dec 2025 03:13:30 GMT</pubDate>
    <dc:creator>pepco</dc:creator>
    <dc:date>2025-12-28T03:13:30Z</dc:date>
    <item>
      <title>Public DBFS root is disabled in Databricks free edition</title>
      <link>https://community.databricks.com/t5/data-engineering/public-dbfs-root-is-disabled-in-databricks-free-edition/m-p/124077#M47128</link>
      <description>&lt;P&gt;I am using notebook to execute a sample spark to write delta table in dbfs using free edition. However, I face an issue, that I can not access the public DBFS after the code executed.&lt;/P&gt;&lt;P&gt;The spark code such as:&lt;/P&gt;&lt;P&gt;data = spark.range(0, 5)&lt;BR /&gt;data.write.format("delta").save("/tmp/delta-table")&lt;/P&gt;&lt;P&gt;This is the log error:&lt;/P&gt;&lt;P&gt;&lt;STRONG&gt;Public DBFS root is disabled. Access is denied on path: /tmp/delta-table/_delta_log &lt;/STRONG&gt;&lt;/P&gt;</description>
      <pubDate>Sat, 05 Jul 2025 14:06:29 GMT</pubDate>
      <guid>https://community.databricks.com/t5/data-engineering/public-dbfs-root-is-disabled-in-databricks-free-edition/m-p/124077#M47128</guid>
      <dc:creator>Loinguyen318</dc:creator>
      <dc:date>2025-07-05T14:06:29Z</dc:date>
    </item>
    <item>
      <title>Re: Public DBFS root is disabled in Databricks free edition</title>
      <link>https://community.databricks.com/t5/data-engineering/public-dbfs-root-is-disabled-in-databricks-free-edition/m-p/124090#M47132</link>
      <description>&lt;P&gt;I am having the same issue.&amp;nbsp;&lt;/P&gt;&lt;P&gt;I wish to create a new folder&lt;/P&gt;&lt;DIV&gt;&lt;DIV&gt;&lt;SPAN&gt;dbutils.fs.&lt;/SPAN&gt;&lt;SPAN&gt;mkdirs&lt;/SPAN&gt;&lt;SPAN&gt;(&lt;/SPAN&gt;&lt;SPAN&gt;"/sampledir"&lt;/SPAN&gt;&lt;SPAN&gt;)&lt;/SPAN&gt;&lt;/DIV&gt;&lt;DIV&gt;&amp;nbsp;&lt;/DIV&gt;&lt;DIV&gt;&lt;SPAN&gt;and I get this error&lt;/SPAN&gt;&lt;/DIV&gt;&lt;DIV&gt;&lt;SPAN&gt;&lt;SPAN class=""&gt;&lt;SPAN class=""&gt;ExecutionError: &lt;/SPAN&gt;Public DBFS root is disabled. Access is denied on path: /sampledir&lt;/SPAN&gt;&lt;/SPAN&gt;&lt;/DIV&gt;&lt;/DIV&gt;</description>
      <pubDate>Sat, 05 Jul 2025 20:11:19 GMT</pubDate>
      <guid>https://community.databricks.com/t5/data-engineering/public-dbfs-root-is-disabled-in-databricks-free-edition/m-p/124090#M47132</guid>
      <dc:creator>vivadiva</dc:creator>
      <dc:date>2025-07-05T20:11:19Z</dc:date>
    </item>
    <item>
      <title>Re: Public DBFS root is disabled in Databricks free edition</title>
      <link>https://community.databricks.com/t5/data-engineering/public-dbfs-root-is-disabled-in-databricks-free-edition/m-p/124094#M47134</link>
      <description>&lt;P&gt;Can you use UCVolumes instead of DBFS?&lt;/P&gt;&lt;P&gt;Can you use UCVolumes instead of DBFS? Databricks will disable DBFS as it moves to a serverless approach. I would use UCVoulmes - convenient and governed by UC.Databricks will disable DBFS, as it adopts a serverless approach. I would use UCVoulmes - convenient and governed by UC&lt;/P&gt;</description>
      <pubDate>Sun, 06 Jul 2025 01:08:20 GMT</pubDate>
      <guid>https://community.databricks.com/t5/data-engineering/public-dbfs-root-is-disabled-in-databricks-free-edition/m-p/124094#M47134</guid>
      <dc:creator>Sharanya13</dc:creator>
      <dc:date>2025-07-06T01:08:20Z</dc:date>
    </item>
    <item>
      <title>Re: Public DBFS root is disabled in Databricks free edition</title>
      <link>https://community.databricks.com/t5/data-engineering/public-dbfs-root-is-disabled-in-databricks-free-edition/m-p/142577#M51973</link>
      <description>&lt;P&gt;Hello,&lt;BR /&gt;&lt;BR /&gt;I would like to re-open this topic if possible. While using UC volumes was marked as accepted answer I would like to ask what are my options. I'm playing with custom logging handler and I would like to write logs into the files. Since DBFS is not enabled and UC volumes don't support direct I/O do I have some other options?&amp;nbsp;&lt;BR /&gt;&lt;BR /&gt;I could add handler to log into the table I'm not sure if I want to do row-by-row inserts.&amp;nbsp;&lt;BR /&gt;&lt;BR /&gt;Are there some other options?&lt;/P&gt;</description>
      <pubDate>Sun, 28 Dec 2025 03:13:30 GMT</pubDate>
      <guid>https://community.databricks.com/t5/data-engineering/public-dbfs-root-is-disabled-in-databricks-free-edition/m-p/142577#M51973</guid>
      <dc:creator>pepco</dc:creator>
      <dc:date>2025-12-28T03:13:30Z</dc:date>
    </item>
    <item>
      <title>Re: Public DBFS root is disabled in Databricks free edition</title>
      <link>https://community.databricks.com/t5/data-engineering/public-dbfs-root-is-disabled-in-databricks-free-edition/m-p/142590#M51976</link>
      <description>&lt;P&gt;Yes , &amp;nbsp;use UCVolumes instead of DBFS. As Databricks moves toward a serverless architecture, DBFS access is being increasingly restricted and is not intended for long term or production usage.&amp;nbsp;UC Volumes are a better choice than DBFS.&lt;/P&gt;</description>
      <pubDate>Sun, 28 Dec 2025 15:47:41 GMT</pubDate>
      <guid>https://community.databricks.com/t5/data-engineering/public-dbfs-root-is-disabled-in-databricks-free-edition/m-p/142590#M51976</guid>
      <dc:creator>mukul1409</dc:creator>
      <dc:date>2025-12-28T15:47:41Z</dc:date>
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