Create a Data Access Object for SAS xpt Data using JDBI

JDBI is a SQL convenience library for Java that exposes two different style APIs, a fluent style and a SQL object style. The CData JDBC Driver for SAS xpt integrates connectivity to live SAS xpt data in Java applications. By pairing these technologies, you gain simple, programmatic access to SAS xpt data. This article explains how to build a basic Data Access Object (DAO) and the accompanying code to read SAS xpt data.

Create a DAO for the SAS xpt SampleTable_1 Entity

The interface below declares the desired behavior for the SQL object to create a single method for each SQL statement to be implemented.

public interface MySampleTable_1DAO {
 //request specific data from SAS xpt (String type is used for simplicity)
 @SqlQuery("SELECT Column1 FROM SampleTable_1 WHERE Column2 = :column2")
 String findColumn1ByColumn2(@Bind("column2") String column2);

 /*
 * close with no args is used to close the connection
 */
 void close();
}

Open a Connection to SAS xpt

Collect the necessary connection properties and construct the appropriate JDBC URL for connecting to SAS xpt.

Connecting to Local SASXpt Files

You can connect to local SASXpt file by setting the URI to a folder containing SASXpt files.

Connecting to S3 data source

You can connect to Amazon S3 source to read SASXpt files. Set the following properties to connect:

• URI: Set this to the folder within your bucket that you would like to connect to.
• AWSAccessKey: Set this to your AWS account access key.
• AWSSecretKey: Set this to your AWS account secret key.
• TemporaryLocalFolder: Set this to the path, or URI, to the folder that is used to temporarily download SASXpt file(s).

Connecting to Azure Data Lake Storage Gen2

You can connect to ADLS Gen2 to read SASXpt files. Set the following properties to connect:

• URI: Set this to the name of the file system and the name of the folder which contacts your SASXpt files.
• AzureAccount: Set this to the name of the Azure Data Lake storage account.
• AzureAccessKey: Set this to our Azure DataLakeStore Gen 2 storage account access key.
• TemporaryLocalFolder: Set this to the path, or URI, to the folder that is used to temporarily download SASXpt file(s).

Built-in Connection String Designer

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

java -jar cdata.jdbc.sasxpt.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.)

A connection string for SAS xpt will typically look like the following:

jdbc:sasxpt:URI=C:/folder;

Use the configured JDBC URL to obtain an instance of the DAO interface. The particular method shown below will open a handle bound to the instance, so the instance needs to be closed explicitly to release the handle and the bound JDBC connection.

DBI dbi = new DBI("jdbc:sasxpt:URI=C:/folder;");
MySampleTable_1DAO dao = dbi.open(MySampleTable_1DAO.class);

//do stuff with the DAO

dao.close();

Read SAS xpt Data

With the connection open to SAS xpt, simply call the previously defined method to retrieve data from the SampleTable_1 entity in SAS xpt.

//disply the result of our 'find' method
String column1 = dao.findColumn1ByColumn2("100");
System.out.println(column1);

Since the JDBI library is able to work with JDBC connections, you can easily produce a SQL Object API for SAS xpt by integrating with the CData JDBC Driver for SAS xpt. Download a free trial and work with live SAS xpt data in custom Java applications today.