Hello Anirudh Govardhanam ,
Welcome to the Microsoft Q&A and thank you for posting your questions here.
Problem
Sequel to your questions, I understand that you are encountering an error when attempting to run a stored procedure using external tables (Parquet format) within Synapse Analytics. While the stored procedures run successfully within the dedicated SQL pool, it fails when executed via a stored procedure activity in Synapse.
Scenarios
The user is leveraging Synapse Analytics for their data processing needs, specifically utilizing external tables in Parquet format stored in Azure Data Lake Storage Gen2. They have successfully implemented stored procedures within the dedicated SQL pool to interact with these external tables. However, when attempting to automate the execution of these stored procedures using a stored procedure activity in Synapse, they encounter an error "2402".
Solution
This solution will address the nature of error and potential causes to provide a robust solution.
Error Message:
The error message indicates a failure in schema discovery for the input file, suggesting either non-existent files or permission issues.
While providing solution for the error code, I will advise you to confirm and recheck your permission settings for accessing the storage account, authentication methods, network connectivity issues, URI encoding, and logging/monitoring configurations. Please, do it one after the other.
Verify File Existence
Now, by using Azure Storage Explorer or Azure Portal to check if the specified Parquet file exists in the provided Data Lake Storage Gen2 path. If the file is missing, review the file path in the error message and ensure it is accurate.
You can use the below python code to check file existence in Azure Data Lake Storage Gen2:
# Python code snippet to check file existence in Azure Data Lake Storage Gen2
from azure.storage.filedatalake import DataLakeServiceClient
storage_account_name = "<storage_account_name>"
storage_account_key = "<storage_account_key>"
file_system_name = "<file_system_name>"
file_path = "<file_path>"
service_client = DataLakeServiceClient(account_url=f"https://{storage_account_name}.dfs.core.windows.net", credential=storage_account_key)
file_system_client = service_client.get_file_system_client(file_system=file_system_name)
file_client = file_system_client.get_file_client(file_path)
exists = file_client.exists()
if exists:
print("File exists.")
else:
print("File does not exist.")
Finally
By following the above steps and utilizing the provided code snippet for file existence verification, you can systematically troubleshoot and resolve the issues encountered when executing stored procedures using external tables in Synapse Analytics.
If the file exists and the problem persists. Ensure you review all the listed areas that can be the root cause of the issue, also kindly post a new error code in the comment.
The issue can be systematically diagnosed and resolved to enable successful execution of stored procedures using external tables in Synapse Analytics.
References
Kindly read more from the right side of this page:
- Use stored procedures - Azure Synapse Analytics Tips for implementing stored procedures using Synapse SQL in Azure Synapse Analytics for solution development.
- Use external tables with Synapse SQL - Azure Synapse Analytics Reading or writing data files with external tables in Synapse SQL
Accept Answer
I hope this is helpful! Do not hesitate to let me know if you have any other questions.
** Please don't forget to close up the thread here by upvoting and accept it as an answer if it is helpful ** so that others in the community facing similar issues can easily find the solution.
Best Regards,
Sina Salam