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girishtharwani2's avatar
girishtharwani2
Helper III
1 year ago
Solved

Serverless views in Fabric

Hi,

I have loaded data from a source into the Data Lake (ADLS) using a Fabric pipeline. In Synapse, we used to query ADLS data using serverless views. Is there a similar way to utilize serverless views in Fabric?

 

Thanks,
Girish

data engineering
  • Anonymous's avatar
    Anonymous
    1 year ago

    Hello girishtharwani2.,

    Thank you for your detailed explaination regarding your query.

     

    I would also take a moment to personally thank nilendraFabric , for actively participating in the community forum and for the solutions you’ve been sharing in the community forum. Your contributions make a real difference.

     

    In Fabric Lakehouse, while there isn't a direct equivalent to Synapse Serverless SQL for dynamically querying partitioned data, you can achieve similar functionality using Lakehouse Shortcuts with Delta tables or dynamic queries with metadata tables.

     

    Here are some approaches to consider:

    • If your data in ADLS follows the Delta format, Fabric Lakehouse natively supports querying Delta tables, allowing you to use SQL to filter the latest partition dynamically.
    • If you are working with Parquet files, you can use Fabric Notebook with PySpark to create a metadata table that dynamically tracks partition locations.

    I hope this should resolve your issue, if you need any further assistance, feel free to reach out.

     

    If this post helps, then please give us Kudos and consider Accept it as a solution to help the other members find it more quickly.

     

    Thank you. 

6 Replies

  • nilendraFabric's avatar
    nilendraFabric
    Super User
    1 year ago

    Hello girishtharwani2 


    You can use sql endpoint on OPENROWSET. 

    this functionality will be available using OPENROWSET

    Estimated release timeline: Q1 2025

    Release Type: Public preview

    Fabric DW enables the users to use the OPENROWSET function to read data from the files in the lake. A simple example of OPENROWSET function is:

     
    SELECT * 
FROM OPENROWSET ( BULK ‘<file path>’ ) 
WITH ( <column definition> )

    The OPENROWSET function will read the content of the file(s) at the given <file path>and return the content of the files. Thi function enables easy browsing and previewing the files before ingestion.

     

    https://learn.microsoft.com/en-us/fabric/release-plan/data-warehouse

     

    please see if this is helpful and try running OPENROWSET 

     

  • Anonymous's avatar
    Anonymous
    Not applicable
    1 year ago

    Hi girishtharwani2 
    Thank you for reaching out microsoft fabric community forum.
    I wanted to check if you had the opportunity to review the information provided by nilendraFabric . Please feel free to contact us if you have any further questions. If his response has addressed your query, please accept it as a solution and give a 'Kudos' so other members can easily find it.
    Thank you.

    • nilendraFabric's avatar
      nilendraFabric
      Super User
      1 year ago

       There are 2 options 

       

      Easiest way is to create shortcut to Adls

      Select New Shortcut → Azure Data Lake Storage Gen2 → Provide ADLS URL.

      And then query it like this

       

      SELECT * FROM Lakehouse.DemoShortcut.sales_data;

       

      other way is 

       

      Use the `COPY INTO` Command
      The most direct method for bulk-loading data into a Fabric Warehouse or Lakehouse table:

       

      COPY INTO dbo.RetailSales
      FROM 'https://<storage-account>.dfs.core.windows.net/<container>/sales/*.parquet'
      WITH (
      FILE_TYPE = 'PARQUET',
      CREDENTIAL = (IDENTITY = 'Managed Identity')
      );

       

      Hope this helps

       

      please accept this solution if this is helpful and give kudos

       

      • girishtharwani2's avatar
        girishtharwani2
        Helper III
        1 year ago

        Thanks for the inputs.

        In serverless in Synapse, I have partitioned by the files based on date and I used to pick latest folder as date was handled dynamically.

        I see I can manually create a table on ADLS but it will be one time, Is there a way I can achieve similar functionality in lakehouse as I am getting in serverless ?

         

        Thanks,

        Girish