![]() And it will work in most cases, but there are some caveats. Since we know that the interpreter will first look for the module in the sys.modules dictionary, we can just delete our module from this dictionary. But usually you don't want to restart the REPL, so there are better ways. It works fine if you don't care about preserving the data that you already have in your session, like the functions that you wrote and the variables that you calculated. The easiest way is to quit your interactive session and start it again. So, if I can't reimport a module, does it mean that I have to restart Python each time? Not really, that would be very inconvenient. You can read more about how importing works in the documentation. Which means that, if you already imported the module (or imported a different module that references this one) and you try to import it again, Python will ignore this request. And only if it's not there, it actually imports the module.First, it checks if the module is already cached in the sys.module dictionary.Turns out that, for efficiency reasons, when you import a module in an interactive Python session, Python interpreter does two steps: It doesn't matter if you use the standard Python REPL or IPython. If you already imported a module ( import a_module) or a function ( from a_module import a_function) in your Python session and you try to import it again, nothing will happen. It turns out, as StackOverflow kindly explained, that you can't just reimport a module. That's fine - I thought - I will just fix the module and reimport it.īut, to my surprise, calling from my_module import my_function didn't update the code! my_function still had the bug that I just fixed! I double-checked if I modified the correct file, reimported it again and still nothing. As it usually happens, when I was testing it in the interactive Python REPL, the first version turned out to have some bugs (the second and third ones also did □). Replace with the name of the database table to query, and then save the file.Writing my first module in Python was a confusing experience. The first two rows of the database table are displayed.Ĭreate a file named pyodbc-test-cluster.py. ![]() Run the pyodbc-test-cluster.py file with your Python interpreter. To speed up running the code, start the cluster that corresponds to the Host(s) value in the Simba Spark ODBC Driver DSN Setup dialog box for your Databricks cluster. execute ( f "SELECT * FROM LIMIT 2 \n " ) for row in cursor. connect ( "DSN=Databricks_Cluster", autocommit = True ) # Run a SQL query by using the preceding connection. table_name = "" # Connect to the Databricks cluster by using the # Data Source Name (DSN) that you created earlier. Import pyodbc # Replace with the name of the database table to query. In the HTTP Properties dialog box, for HTTP Path, enter the HTTP Path value from the Connection Details tab your SQL warehouse, and then click OK. Password: The value of your personal access token for your SQL warehouse.Ĭlick HTTP Options. Host(s): The Server Hostname value from the Connection Details tab your SQL warehouse. In the Simba Spark ODBC Driver dialog box, enter the following values: In the Create New Data Source dialog box, click Simba Spark ODBC Driver, and then click Finish. ![]() In the ODBC Data Sources application, on the User DSN tab, click Add. To specify connection details for a SQL warehouse: To allow pyodbc to switch connections to a different cluster, repeat this procedure with the specific connection details. In the SSL Options dialog box, check the Enable SSL box, and then click OK.Ĭlick Test. ![]() In the HTTP Properties dialog box, for HTTP Path, enter the HTTP Path value from the Advanced Options, JDBC/ODBC tab for your cluster, and then click OK.Ĭlick SSL Options. Password: The value of your personal access token for your Databricks workspace.Ĭlick HTTP Options. Host(s): The Server Hostname value from the Advanced Options, JDBC/ODBC tab for your cluster. Spark Server Type: SparkThriftServer (Spark 1.1 and later) In the Simba Spark ODBC Driver DSN Setup dialog box, change the following values: To specify connection details for a cluster:Īdd a data source name (DSN) that contains information about your cluster: start the ODBC Data Sources application: on the Start menu, begin typing ODBC, and then click ODBC Data Sources. Specify connection details for the Databricks cluster or Databricks SQL warehouse for pyodbc to use. ![]()
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