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    <title>topic Re: How to make streaming files? in Data Engineering</title>
    <link>https://community.databricks.com/t5/data-engineering/how-to-make-streaming-files/m-p/139412#M51194</link>
    <description>&lt;P&gt;Thanks for weighing in. Are you saying&amp;nbsp;&lt;/P&gt;&lt;P&gt;&lt;SPAN&gt;CREATE OR REFRESH STREAMING TABLE user.demo.test_bronze_st&amp;nbsp; cannot be used in FREE Edition?&lt;/SPAN&gt;&lt;/P&gt;&lt;P&gt;&lt;SPAN&gt;If we can use it, how do to create&amp;nbsp;STREAM read_files('/Volumes/xxx_ws/demo/raw_files/test.csv'),&lt;/SPAN&gt;&lt;/P&gt;&lt;P&gt;&lt;SPAN&gt;where .csv sitting on local drive?&lt;/SPAN&gt;&lt;/P&gt;&lt;P&gt;&lt;SPAN&gt;Thanks .&lt;/SPAN&gt;&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;</description>
    <pubDate>Mon, 17 Nov 2025 17:36:49 GMT</pubDate>
    <dc:creator>RIDBX</dc:creator>
    <dc:date>2025-11-17T17:36:49Z</dc:date>
    <item>
      <title>How to make streaming files?</title>
      <link>https://community.databricks.com/t5/data-engineering/how-to-make-streaming-files/m-p/139252#M51125</link>
      <description>&lt;DIV class=""&gt;&lt;DIV class=""&gt;&lt;P&gt;Thanks for reviewing my threads.&lt;/P&gt;&lt;P&gt;I am trying to test streaming table /files in databricks FREE edition.&lt;/P&gt;&lt;P&gt;-- Create test streaming table&lt;BR /&gt;CREATE OR REFRESH STREAMING TABLE user.demo.test_bronze_st AS&lt;BR /&gt;SELECT * FROM STREAM read_files('/Volumes/xxx_ws/demo/raw_files/test');&lt;/P&gt;&lt;P&gt;I created test file via note upload (data upload in catalog). It created the file, but not treating this as stream file.&lt;/P&gt;&lt;P&gt;The above create table failing&lt;/P&gt;&lt;P&gt;but&amp;nbsp;&lt;/P&gt;&lt;P&gt;CREATE OR REFRESH TABLE user.demo.test_bronze_st AS&lt;BR /&gt;SELECT * FROM&amp;nbsp; read_files('/Volumes/xxx_ws/demo/raw_files/test');&lt;/P&gt;&lt;P&gt;is working. The output window shows 0 rows created, but when I checked the catalog, it shows a different story. I see the data there in&amp;nbsp;user.demo.test_bronze_st table.&lt;/P&gt;&lt;P&gt;Is this a right behavior?&amp;nbsp;&lt;/P&gt;&lt;P&gt;How do I make a streaming file with input data files sitting on my local window folder?&lt;/P&gt;&lt;P&gt;Thanks .&lt;/P&gt;&lt;/DIV&gt;&lt;/DIV&gt;</description>
      <pubDate>Sun, 16 Nov 2025 22:37:13 GMT</pubDate>
      <guid>https://community.databricks.com/t5/data-engineering/how-to-make-streaming-files/m-p/139252#M51125</guid>
      <dc:creator>RIDBX</dc:creator>
      <dc:date>2025-11-16T22:37:13Z</dc:date>
    </item>
    <item>
      <title>Re: How to make streaming files?</title>
      <link>https://community.databricks.com/t5/data-engineering/how-to-make-streaming-files/m-p/139280#M51135</link>
      <description>&lt;P&gt;&lt;a href="https://community.databricks.com/t5/user/viewprofilepage/user-id/103045"&gt;@RIDBX&lt;/a&gt;&amp;nbsp;&amp;nbsp;The Free Edition only allows access to serverless compute resources, and many advanced streaming features are not supported. For example, custom storage locations and online/streaming tables are explicitly noted as unsupported features in this tier.&lt;/P&gt;&lt;P&gt;&lt;A href="https://docs.databricks.com/aws/en/getting-started/free-edition-limitations" target="_blank"&gt;https://docs.databricks.com/aws/en/getting-started/free-edition-limitations&lt;/A&gt;&lt;/P&gt;&lt;P&gt;&lt;SPAN&gt;Databricks in general requires files to be present in cloud storage mounted to your workspace&amp;nbsp;&lt;A href="https://docs.databricks.com/aws/en/getting-started/free-edition-limitations" target="_blank"&gt;https://docs.databricks.com/aws/en/getting-started/free-edition-limitations&lt;/A&gt;&lt;/SPAN&gt;&lt;/P&gt;&lt;P&gt;Alternate approaches&lt;/P&gt;&lt;UL&gt;&lt;LI&gt;&lt;SPAN&gt;simulate&lt;/SPAN&gt;&lt;SPAN&gt;&amp;nbsp;streaming by&lt;/SPAN&gt;&lt;SPAN&gt;&amp;nbsp;incrementally&lt;/SPAN&gt;&lt;SPAN&gt;&amp;nbsp;adding new files&lt;/SPAN&gt;&lt;SPAN&gt;&amp;nbsp;or data batches&lt;/SPAN&gt;&lt;SPAN&gt;&amp;nbsp;to a source folder&lt;/SPAN&gt;&lt;SPAN&gt;&amp;nbsp;or table and&lt;/SPAN&gt;&lt;SPAN&gt;&amp;nbsp;then re-running&lt;/SPAN&gt;&lt;SPAN&gt;&amp;nbsp;batch queries&lt;/SPAN&gt;&lt;SPAN&gt;&amp;nbsp;that consume&lt;/SPAN&gt;&lt;SPAN&gt;&amp;nbsp;only the new&lt;/SPAN&gt;&lt;SPAN&gt;&amp;nbsp;data&lt;/SPAN&gt;&lt;/LI&gt;&lt;LI&gt;&lt;SPAN&gt;Upload files in small increments to a cloud-mounted directory (like DBFS). Then use Auto Loader with batch mode to process newly added files during each job run. This mimics streaming ingestion&lt;/SPAN&gt;&lt;/LI&gt;&lt;LI&gt;&lt;SPAN&gt;In notebooks, use loops or scheduled notebook jobs that periodically append new data files or rows into a Delta table, reading from that table each time as new input arrives&lt;/SPAN&gt;&lt;/LI&gt;&lt;/UL&gt;</description>
      <pubDate>Mon, 17 Nov 2025 08:06:21 GMT</pubDate>
      <guid>https://community.databricks.com/t5/data-engineering/how-to-make-streaming-files/m-p/139280#M51135</guid>
      <dc:creator>ManojkMohan</dc:creator>
      <dc:date>2025-11-17T08:06:21Z</dc:date>
    </item>
    <item>
      <title>Re: How to make streaming files?</title>
      <link>https://community.databricks.com/t5/data-engineering/how-to-make-streaming-files/m-p/139412#M51194</link>
      <description>&lt;P&gt;Thanks for weighing in. Are you saying&amp;nbsp;&lt;/P&gt;&lt;P&gt;&lt;SPAN&gt;CREATE OR REFRESH STREAMING TABLE user.demo.test_bronze_st&amp;nbsp; cannot be used in FREE Edition?&lt;/SPAN&gt;&lt;/P&gt;&lt;P&gt;&lt;SPAN&gt;If we can use it, how do to create&amp;nbsp;STREAM read_files('/Volumes/xxx_ws/demo/raw_files/test.csv'),&lt;/SPAN&gt;&lt;/P&gt;&lt;P&gt;&lt;SPAN&gt;where .csv sitting on local drive?&lt;/SPAN&gt;&lt;/P&gt;&lt;P&gt;&lt;SPAN&gt;Thanks .&lt;/SPAN&gt;&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;</description>
      <pubDate>Mon, 17 Nov 2025 17:36:49 GMT</pubDate>
      <guid>https://community.databricks.com/t5/data-engineering/how-to-make-streaming-files/m-p/139412#M51194</guid>
      <dc:creator>RIDBX</dc:creator>
      <dc:date>2025-11-17T17:36:49Z</dc:date>
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