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    <title>topic Re: viewing managed delta table files in Data Engineering</title>
    <link>https://community.databricks.com/t5/data-engineering/viewing-managed-delta-table-files/m-p/125743#M47521</link>
    <description>&lt;P&gt;That is correct.&amp;nbsp; Users cannot directly see the content in the managed paths for the underlying data files of a managed table in Unity Catalog. (_unitystorage subdirectory and below)&lt;/P&gt;</description>
    <pubDate>Sat, 19 Jul 2025 00:19:23 GMT</pubDate>
    <dc:creator>mnorland</dc:creator>
    <dc:date>2025-07-19T00:19:23Z</dc:date>
    <item>
      <title>viewing managed delta table files</title>
      <link>https://community.databricks.com/t5/data-engineering/viewing-managed-delta-table-files/m-p/125741#M47520</link>
      <description>&lt;P&gt;I am getting an error when I am trying to view the underlying files of the managed delta table in unity catalog&lt;/P&gt;&lt;P&gt;such as&lt;/P&gt;&lt;LI-CODE lang="markup"&gt;from pyspark.sql.functions import *

table_directory = "workspace.db_bronze.test_01"
data = [{"x": 1, "y": 2}]
df = spark.createDataFrame(data)

(
    df.write.format('delta')
    .mode("overwrite")
    .saveAsTable(table_directory)
    )

details = spark.sql(f"""DESCRIBE DETAIL workspace.db_bronze.test_01""")

display(details)

# showing some columns below; location is blank&lt;/LI-CODE&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;TABLE border="1" width="99.8805256869773%"&gt;&lt;TBODY&gt;&lt;TR&gt;&lt;TD width="10.51373954599761%"&gt;format&lt;/TD&gt;&lt;TD width="18.27956989247312%"&gt;id&lt;/TD&gt;&lt;TD width="42.05495818399044%"&gt;name&lt;/TD&gt;&lt;TD width="16.606929510155314%"&gt;description&lt;/TD&gt;&lt;TD width="12.425328554360812%"&gt;location&lt;/TD&gt;&lt;/TR&gt;&lt;TR&gt;&lt;TD width="10.51373954599761%"&gt;delta&lt;/TD&gt;&lt;TD width="18.27956989247312%"&gt;some_value&lt;/TD&gt;&lt;TD width="42.05495818399044%"&gt;workspace.db_bronze.test_01&lt;/TD&gt;&lt;TD width="16.606929510155314%"&gt;null&lt;/TD&gt;&lt;TD width="12.425328554360812%"&gt;&amp;nbsp;&lt;/TD&gt;&lt;/TR&gt;&lt;/TBODY&gt;&lt;/TABLE&gt;&lt;P&gt;Also, the following generates an error&lt;/P&gt;&lt;LI-CODE lang="markup"&gt;df = spark.table("workspace.db_bronze.test_01")
input_files = df.inputFiles()

# print("Table files:")
for file_path in input_files:
     print(f"  {file_path}")

# Extract
if input_files:
    import os
    table_directory = os.path.dirname(input_files[0])
    # Simple directory listing - no recursion
    files = dbutils.fs.ls(table_directory)
    print(files)

# Error - Input path url 's3://url' overlaps with managed storage within 'ListFiles' call. .&lt;/LI-CODE&gt;&lt;P&gt;Do I understand that, paths for managed tables (&lt;SPAN&gt;Unity Catalog creates a new directory in the Unity Catalog-configured storage location associated with the containing schema&lt;/SPAN&gt;) are not accessible?&amp;nbsp;&lt;A href="https://learn.microsoft.com/en-us/azure/databricks/volumes/paths" target="_self"&gt;Databricks Manged Paths&lt;/A&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;</description>
      <pubDate>Fri, 18 Jul 2025 18:46:20 GMT</pubDate>
      <guid>https://community.databricks.com/t5/data-engineering/viewing-managed-delta-table-files/m-p/125741#M47520</guid>
      <dc:creator>smpa01</dc:creator>
      <dc:date>2025-07-18T18:46:20Z</dc:date>
    </item>
    <item>
      <title>Re: viewing managed delta table files</title>
      <link>https://community.databricks.com/t5/data-engineering/viewing-managed-delta-table-files/m-p/125743#M47521</link>
      <description>&lt;P&gt;That is correct.&amp;nbsp; Users cannot directly see the content in the managed paths for the underlying data files of a managed table in Unity Catalog. (_unitystorage subdirectory and below)&lt;/P&gt;</description>
      <pubDate>Sat, 19 Jul 2025 00:19:23 GMT</pubDate>
      <guid>https://community.databricks.com/t5/data-engineering/viewing-managed-delta-table-files/m-p/125743#M47521</guid>
      <dc:creator>mnorland</dc:creator>
      <dc:date>2025-07-19T00:19:23Z</dc:date>
    </item>
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