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The CData ODBC Drivers can be used in any environment that supports loading an ODBC Driver. In this tutorial we will explore using the CData ODBC Driver for IBM Cloud Object Storage from within PyCharm. Included are steps for adding the CData ODBC Driver as a data source, as well as basic PyCharm code to query the data source and display results.
To begin, this tutorial will assume that you have already installed the CData ODBC Driver for IBM Cloud Object Storage as well as PyCharm.
Follow the steps below to add the pyodbc module to your project.
You can now connect with an ODBC connection string or a DSN. See the Getting Started section in the CData driver documentation for a guide to creating a DSN on your OS.
If you do not already have Cloud Object Storage in your IBM Cloud account, follow the procedure below to install an instance of SQL Query in your account:
There are certain connection properties you need to set before you can connect. You can obtain these as follows:
To connect with IBM Cloud Object Storage, you need an API Key. You can obtain this as follows:
If you have multiple accounts, specify the CloudObjectStorageCRN explicitly. To find the appropriate value, you can:
You can now set the following to connect to data:
When you connect, the connector completes the OAuth process.
Below is the syntax for a DSN:
[CData IBMCloudObjectStorage Source] Driver = CData ODBC Driver for IBM Cloud Object Storage Description = My Description ApiKey = myApiKey CloudObjectStorageCRN = MyInstanceCRN Region = myRegion OAuthClientId = MyOAuthClientId OAuthClientSecret = myOAuthClientSecret
Instantiate a Cursor and use the execute method of the Cursor class to execute any SQL statement.
import pyodbc
cnxn = pyodbc.connect('DRIVER={CData ODBC Driver for IBMCloudObjectStorage};ApiKey = myApiKey;CloudObjectStorageCRN = MyInstanceCRN;Region = myRegion;OAuthClientId = MyOAuthClientId;OAuthClientSecret = myOAuthClientSecret;')
cursor = cnxn.cursor()
cursor.execute("SELECT Key, Etag FROM Objects WHERE Bucket = 'someBucket'")
rows = cursor.fetchall()
for row in rows:
print(row.Key, row.Etag)
After connecting to IBM Cloud Object Storage in PyCharm using the CData ODBC Driver, you will be able to build Python apps with access to IBM Cloud Object Storage data as if it were a standard database. If you have any questions, comments, or feedback regarding this tutorial, please contact us at [email protected].
Download a free trial of the IBM Cloud Object Storage ODBC Driver to get started:
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👁 IBM Cloud Object Storage IconThe IBM Cloud Object Storage ODBC Driver is a powerful tool that allows you to connect with live data from IBM Cloud Object Storage, directly from any applications that support ODBC connectivity.
Access IBM Cloud Object Storage data like you would a database - read, write, and update IBM Cloud Object Storage IBMCloudObject, etc. through a standard ODBC Driver interface.