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Get the Report →How to connect and process eBay Data from Azure Databricks
Use CData, Azure, and Databricks to perform data engineering and data science on live eBay Data
Databricks is a cloud-based service that provides data processing capabilities through Apache Spark. When paired with the CData JDBC Driver, customers can use Databricks to perform data engineering and data science on live eBay data. This article walks through hosting the CData JDBC Driver in Azure, as well as connecting to and processing live eBay data in Databricks.
With built-in optimized data processing, the CData JDBC driver offers unmatched performance for interacting with live eBay data. When you issue complex SQL queries to eBay, the driver pushes supported SQL operations, like filters and aggregations, directly to eBay and utilizes the embedded SQL engine to process unsupported operations client-side (often SQL functions and JOIN operations). Its built-in dynamic metadata querying allows you to work with and analyze eBay data using native data types.
Install the CData JDBC Driver in Azure
To work with live eBay data in Databricks, install the driver on your Azure cluster.
- Navigate to your Databricks administration screen and select the target cluster.
- On the Libraries tab, click "Install New."
- Select "Upload" as the Library Source and "Jar" as the Library Type.
- Upload the JDBC JAR file (cdata.jdbc.ebay.jar) from the installation location (typically C:\Program Files\CData[product_name]\lib).
Connect to eBay from Databricks
With the JAR file installed, we are ready to work with live eBay data in Databricks. Start by creating a new notebook in your workspace. Name the notebook, select Python as the language (though Scala is available as well), and choose the cluster where you installed the JDBC driver. When the notebook launches, we can configure the connection, query eBay, and create a basic report.
Configure the Connection to eBay
Connect to eBay by referencing the class for the JDBC Driver and constructing a connection string to use in the JDBC URL. Additionally, you will need to set the RTK property in the JDBC URL (unless you are using a Beta driver). You can view the licensing file included in the installation for information on how to set this property.
driver = "cdata.jdbc.ebay.EbayDriver" url = "jdbc:ebay:RTK=5246...;AppId=MyAppId;CertId=MyCertId;DevId=MyDevId;SiteId=MySiteId;RuName=MyRuName;CallbackURL=http://localhost:33333;InitiateOAuth=GETANDREFRESH"
Built-in Connection String Designer
For assistance in constructing the JDBC URL, use the connection string designer built into the eBay JDBC Driver. Either double-click the JAR file or execute the jar file from the command-line.
java -jar cdata.jdbc.ebay.jar
Fill in the connection properties and copy the connection string to the clipboard.
If you will be accessing your own account, you can generate an OAuthAccessToken from your developer account dashboard. You can also allow other users to securely access their own accounts.
Both of these methods require you to create an application key set to obtain values for the following connection properties: AppId, CertId, DevId, and SiteId.
The user consent flow additionally requires the RuName and CallbackURL.
See the "Getting Started" chapter in the help documentation for a guide to using OAuth.
Load eBay Data
Once the connection is configured, you can load eBay data as a dataframe using the CData JDBC Driver and the connection information.
remote_table = spark.read.format ( "jdbc" ) \ .option ( "driver" , driver) \ .option ( "url" , url) \ .option ( "dbtable" , "ItemListing") \ .load ()
Display eBay Data
Check the loaded eBay data by calling the display function.
display (remote_table.select ("Title"))
Analyze eBay Data in Azure Databricks
If you want to process data with Databricks SparkSQL, register the loaded data as a Temp View.
remote_table.createOrReplaceTempView ( "SAMPLE_VIEW" )
The SparkSQL below retrieves the eBay data for analysis.
% sql SELECT Title, HitCount FROM ItemListing
The data from eBay is only available in the target notebook. If you want to use it with other users, save it as a table.
remote_table.write.format ( "parquet" ) .saveAsTable ( "SAMPLE_TABLE" )
Download a free, 30-day trial of the CData JDBC Driver for eBay and start working with your live eBay data in Azure Databricks. Reach out to our Support Team if you have any questions.