Process & Analyze Btrieve Data in Databricks (AWS)

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Btrieve JDBC Driver

Rapidly create and deploy powerful Java applications that integrate with Pervasive SQL (Btrieve) databases.

Host the CData JDBC Driver for Btrieve in AWS and use Databricks to perform data engineering and data science on live Btrieve 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 Btrieve data. This article walks through hosting the CData JDBC Driver in AWS, as well as connecting to and processing live Btrieve data in Databricks.

With built-in optimized data processing, the CData JDBC Driver offers unmatched performance for interacting with live Btrieve data. When you issue complex SQL queries to Btrieve, the driver pushes supported SQL operations, like filters and aggregations, directly to Btrieve 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 Btrieve data using native data types.

Install the CData JDBC Driver in Databricks

To work with live Btrieve data in Databricks, install the driver on your Databricks cluster.

  1. Navigate to your Databricks administration screen and select the target cluster.
  2. On the Libraries tab, click "Install New."
  3. Select "Upload" as the Library Source and "Jar" as the Library Type.
  4. Upload the JDBC JAR file (cdata.jdbc.btrieve.jar) from the installation location (typically C:\Program Files\CData\CData JDBC Driver for Btrieve\lib).

Access Btrieve Data in your Notebook: Python

With the JAR file installed, we are ready to work with live Btrieve 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 Btrieve, and create a basic report.

Configure the Connection to Btrieve

Connect to Btrieve by referencing the JDBC Driver class and constructing a connection string to use in the JDBC URL.

Step 1: Connection Information

driver = "cdata.jdbc.btrieve.BtrieveDriver"
url = "jdbc:btrieve:User=myuser;Password=mypassword;Server=myserver;Database=mydatabase;"

Built-in Connection String Designer

For assistance in constructing the JDBC URL, use the connection string designer built into the Btrieve JDBC Driver. Either double-click the JAR file or execute the jar file from the command-line.

java -jar cdata.jdbc.btrieve.jar

Fill in the connection properties and copy the connection string to the clipboard.

The PSQL v13 client will need to be installed on the same machine as the driver. To connect, set the User, Password, Server, and Database properties.

Load Btrieve Data

Once you configure the connection, you can load Btrieve data as a dataframe using the CData JDBC Driver and the connection information.

Step 2: Reading the data

remote_table = ( "jdbc" ) \
	.option ( "driver" , driver) \
	.option ( "url" , url) \
	.option ( "dbtable" , "Billing") \
	.load ()

Display Btrieve Data

Check the loaded Btrieve data by calling the display function.

Step 3: Checking the result

display ( ("Student_ID"))

Analyze Btrieve Data in Databricks

If you want to process data with Databricks SparkSQL, register the loaded data as a Temp View.

Step 4: Create a view or table

remote_table.createOrReplaceTempView ( "SAMPLE_VIEW" )

With the Temp View created, you can use SparkSQL to retrieve the Btrieve data for reporting, visualization, and analysis.

% sql

SELECT Student_ID, Transaction_Number FROM SAMPLE_VIEW ORDER BY Transaction_Number DESC LIMIT 5

The data from Btrieve 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 Btrieve and start working with your live Btrieve data in Databricks. Reach out to our Support Team if you have any questions.