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Bill_J99294's avatar
Bill_J99294
Regular Visitor
1 year ago
Solved

Fabric Lakehouse SQL Endpoint Automatic Refresh

Hello,    Recently we have noticed that the automatic metadata discovery for our lakehouse has not been working. This has resulted in us manually refreshing the SQL endpoint for our Lakehouse each ...
data warehouse
  • Anonymous's avatar
    Anonymous
    1 year ago

    Hi Bill_J99294 ,

     

    You can create a notebook that connects to the lakehouse corresponding to your SQL endpoint by entering the following command in the cell:

    from pyspark.sql import SparkSession

# create Spark session
spark = SparkSession.builder \
    .appName(“Refresh SQL Endpoint Metadata”) \
    .getOrCreate()

# refresh
spark.sql(“REFRESH TABLE salesorders”)

print(“Metadata refresh triggered successfully.”)

     

    Set up a daily refresh in your notebook settings so that this refresh command is executed every day.

     

    If you have any other questions please feel free to contact me.

     

    Best Regards,
    Yang
    Community Support Team

     

    If there is any post helps, then please consider Accept it as the solution  to help the other members find it more quickly.
    If I misunderstand your needs or you still have problems on it, please feel free to let us know. Thanks a lot!

Anonymous's avatar
Anonymous
Not applicable
1 year ago

Hi Bill_J99294 ,

 

Thanks for the reply from R1k91 .

 

Is my follow-up just to ask if the problem has been solved?

 

If so, can you accept the correct answer as a solution or share your solution to help other members find it faster?

 

Thank you very much for your cooperation!

 

Best Regards,
Yang
Community Support Team

 

If there is any post helps, then please consider Accept it as the solution  to help the other members find it more quickly.
If I misunderstand your needs or you still have problems on it, please feel free to let us know. Thanks a lot!