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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 Lakebase integrates connectivity to live Lakebase data in Java applications. By pairing these technologies, you gain simple, programmatic access to Lakebase data. This article explains how to build a basic Data Access Object (DAO) and the accompanying code to read and write Lakebase data.
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 MyOrdersDAO {
//insert new data into Lakebase
@SqlUpdate("INSERT INTO Orders (ShipCountry, ShipCity) values (:shipCountry, :shipCity)")
void insert(@Bind("shipCountry") String shipCountry, @Bind("shipCity") String shipCity);
//request specific data from Lakebase (String type is used for simplicity)
@SqlQuery("SELECT ShipCity FROM Orders WHERE ShipCountry = :shipCountry")
String findShipCityByShipCountry(@Bind("shipCountry") String shipCountry);
/*
* close with no args is used to close the connection
*/
void close();
}
Collect the necessary connection properties and construct the appropriate JDBC URL for connecting to Lakebase.
To connect to Databricks Lakebase, start by setting the following properties:To authenicate using OAuth client credentials, you need to configure an OAuth client in your service principal. In short, you need to do the following:
For more information, refer to the Setting Up OAuthClient Authentication section in the Help documentation.
To authenticate using the OAuth code type with PKCE (Proof Key for Code Exchange), set the following properties:
For more information, refer to the Help documentation.
For assistance in constructing the JDBC URL, use the connection string designer built into the Lakebase JDBC Driver. Either double-click the JAR file or execute the jar file from the command-line.
java -jar cdata.jdbc.lakebase.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 Lakebase will typically look like the following:
jdbc:lakebase:DatabricksInstance=lakebase;Server=127.0.0.1;Port=5432;Database=my_database;InitiateOAuth=GETANDREFRESH;
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:lakebase:DatabricksInstance=lakebase;Server=127.0.0.1;Port=5432;Database=my_database;InitiateOAuth=GETANDREFRESH;");
MyOrdersDAO dao = dbi.open(MyOrdersDAO.class);
//do stuff with the DAO
dao.close();
With the connection open to Lakebase, simply call the previously defined method to retrieve data from the Orders entity in Lakebase.
//disply the result of our 'find' method
String shipCity = dao.findShipCityByShipCountry("USA");
System.out.println(shipCity);
It is also simple to write data to Lakebase, using the previously defined method.
//add a new entry to the Orders entity dao.insert(newShipCountry, newShipCity);
Since the JDBI library is able to work with JDBC connections, you can easily produce a SQL Object API for Lakebase by integrating with the CData JDBC Driver for Lakebase. Download a free trial and work with live Lakebase data in custom Java applications today.
Download a free trial of the Lakebase Driver to get started:
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