What is the most efficient way to use Python to import approximately 1 million data entries from a JSON file into a SQL Server table as quickly as possible?

edit

1. Use Python's built-in json module to read the JSON file into memory as a dictionary object.
2. Use Python's pyodbc module to connect to the SQL Server database and open a cursor.
3. Use a loop to iterate through the dictionary object and insert each data entry into the SQL Server table using an SQL INSERT statement. It may be more efficient to batch multiple entries together in a single INSERT statement to reduce the number of round-trips to the database.
4. Once all data entries have been inserted, commit the changes to the database and close the cursor.

Additionally, optimizing the database performance by ensuring the table has any necessary indexes and constraints can improve the overall import performance. It may also be beneficial to break the data into smaller chunks and import them in parallel using multiple Python processes or threads.