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Access IBM Cloud Object Storage data with Python scripts and standard SQL on any machine where Python and Java can be installed. You can use the CData JDBC Driver for IBM Cloud Object Storage and the JayDeBeApi module to work with remote IBM Cloud Object Storage data in Python. By using the CData Driver, you are leveraging a driver written for industry-proven standards to access your data in the popular Python language. This article shows how to use the driver to execute SQL queries to IBM Cloud Object Storage and visualize IBM Cloud Object Storage data with standard Python.
JayDeBeApi is a Python library that serves as a JDBC (Java Database Connectivity) bridge, allowing Python programs to interact with Java databases, including CData JDBC Drivers. Use the pip install command to install the module:
pip install JayDeBeApi
Once you have JayDeBeApi installed, you are ready to work with IBM Cloud Object Storage data in Python using SQL.
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.
For assistance in constructing the JDBC URL, use the connection string designer built into the IBM Cloud Object Storage JDBC Driver. Either double-click the JAR file or execute the jar file from the command-line.
java -jar cdata.jdbc.ibmcloudobjectstorage.jar
Fill in the connection properties and copy the connection string to the clipboard.
👁 Using the built-in connection string designer to generate a JDBC URL (Salesforce is shown.)Below is a sample variable assignment, including a typical JDBC connection string:
jdbc_url = "jdbc:ibmcloudobjectstorage:ApiKey=myApiKey;CloudObjectStorageCRN=MyInstanceCRN;Region=myRegion;OAuthClientId=MyOAuthClientId;OAuthClientSecret=myOAuthClientSecret;"
With the JDBC URL configured, you only need the absolute path to the JDBC driver JAR file, which is in the "lib" folder in the installation directory ("C:\Program Files\CData[product_name] 20XX\lib\cdata.jdbc.ibmcloudobjectstorage.jar" on Windows).
NOTE: If you haven't already, set the JAVA_HOME environment variable to the Java installation directory.
Use code similar to the follow to read and print data from IBM Cloud Object Storage:
import jaydebeapi
#The JDBC connection string
jdbc_url = "jdbc:ibmcloudobjectstorage:ApiKey=myApiKey;CloudObjectStorageCRN=MyInstanceCRN;Region=myRegion;OAuthClientId=MyOAuthClientId;OAuthClientSecret=myOAuthClientSecret;"
username = "****"
password = "****"
#The absolute Path to the JDBC driver JAR file, typically:
jdbc_driver_jar = "C:\Program Files\CData[product_name] 20XX\lib\cdata.jdbc.ibmcloudobjectstorage.jar"
conn = jaydebeapi.connect(
"cdata.jdbc.ibmcloudobjectstorage.IBMCloudObjectStorageDriver",
jdbc_url,
[username, password],
jdbc_driver_jar,
)
cursor = conn.cursor()
cursor.execute("SELECT * FROM Objects;")
results = cursor.fetchall()
for row in results:
print(row)
cursor.close()
conn.close()
Download a free, 30-day trial of the CData JDBC Driver for IBM Cloud Object Storage and start working with your live IBM Cloud Object Storage data in Python. Reach out to our Support Team if you have any questions.
Download a free trial of the IBM Cloud Object Storage Driver to get started:
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