I am working with a FastAPI application that connects to Azure Databricks to execute SQL queries using the databricks-sdk. The relevant code snippet for establishing the connection and executing the query is as follows: def get_databricks_connection(): # Connection logic... # Returns a Databricks connection object def exec_query_to_df(connection, query): # Executes the SQL query and returns the result as a pandas DataFrame if hasattr(connection, "cursor"): with connection.cursor() as cursor: try: logger.info(f"Executing query: {query}") cursor.execute(query) logger.info("Query execution completed successfully") columns = [column[0] for column in cursor.description] rows = cursor.fetchall() result = [tuple(int(x.item()) if isinstance(x, np.int64) else x for x in row) for row in rows] df = pd.DataFrame(result, columns=columns) df.replace({np.nan: None}, inplace=True) return df except Exception as e: logger.error(f"Error executing query '{query}': {e}") raise # Additional logic for SQLAlchemy connection... def get_all_voyage_pnl(user_initials): # Logic to build and execute the query to get voyage PNL data The issue arises only when I deploy the application to Azure App Service. The application runs correctly without any problems on my local machine. However, when deployed, I encounter an error during query execution. The error logs indicate the following: ERROR: Error executing query 'SELECT * FROM your_database.your_table WHERE condition': time data '2025-02-15 14:00:00' does not match format '%Y-%m-%d %H:%M:%S.%f' This error occurs during the execution of the SQL query, and it prevents any rows from being returned. Consequently, the DataFrame processing never takes place. The query I am attempting to run is designed to fetch voyage PNL data, including the CommenceGmt and CompleteGmt columns. The original data is in the format 2025-02-15 14:00:00, but in Databricks, this is converted to a timestamp in the format: 2025-02-15T14:00:00.000+00:00 However, the error suggests a mismatch with the expected format when executed in the Azure environment, leading to failures without any data being returned. Additional Information Here are the details about my environment: Python Version: 3.11 Relevant Libraries: from databricks.sdk import WorkspaceClient from databricks import sql import pandas as pd import numpy as np Relevant Requirements.txt: databricks-sdk>=0.44.1 databricks-sql-connector>=4.0.0 pandas==2.1.3 numpy>=1.26.2 I've confirmed that the connection works correctly on my local machine. Could the issue be related to how Azure App Service handles timezone or timestamp formats? If there’s any information I might be missing that could help diagnose this issue, I would appreciate your insights! Questions: How can I resolve the time data format issue that occurs during execution? Are there any configurations needed in Azure App Service to handle timezones or data formats appropriately? Continue reading...