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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 Snowflake integrates connectivity to live Snowflake data in Java applications. By pairing these technologies, you gain simple, programmatic access to Snowflake data. This article explains how to build a basic Data Access Object (DAO) and the accompanying code to read and write Snowflake data.
CData simplifies access and integration of live Snowflake data. Our customers leverage CData connectivity to:
Many CData users use CData solutions to access Snowflake from their preferred tools and applications, and replicate data from their disparate systems into Snowflake for comprehensive warehousing and analytics.
For more information on integrating Snowflake with CData solutions, refer to our blog: https://www.cdata.com/blog/snowflake-integrations.
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 MyProductsDAO {
//insert new data into Snowflake
@SqlUpdate("INSERT INTO Products (Id, ProductName) values (:id, :productName)")
void insert(@Bind("id") String id, @Bind("productName") String productName);
//request specific data from Snowflake (String type is used for simplicity)
@SqlQuery("SELECT ProductName FROM Products WHERE Id = :id")
String findProductNameById(@Bind("id") String id);
/*
* 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 Snowflake.
To connect to Snowflake:
See the Getting Started guide in the CData driver documentation for more information.
For assistance in constructing the JDBC URL, use the connection string designer built into the Snowflake JDBC Driver. Either double-click the JAR file or execute the jar file from the command-line.
java -jar cdata.jdbc.snowflake.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 Snowflake will typically look like the following:
jdbc:snowflake:Authscheme=Password;URL=https://myaccount.snowflakecomputing.com;User=Admin;Password=test123;Server=localhost;Database=Northwind;Warehouse=TestWarehouse;Account=Tester1;MFACode=YourMFACode
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:snowflake:Authscheme=Password;URL=https://myaccount.snowflakecomputing.com;User=Admin;Password=test123;Server=localhost;Database=Northwind;Warehouse=TestWarehouse;Account=Tester1;MFACode=YourMFACode");
MyProductsDAO dao = dbi.open(MyProductsDAO.class);
//do stuff with the DAO
dao.close();
With the connection open to Snowflake, simply call the previously defined method to retrieve data from the Products entity in Snowflake.
//disply the result of our 'find' method
String productName = dao.findProductNameById("1");
System.out.println(productName);
It is also simple to write data to Snowflake, using the previously defined method.
//add a new entry to the Products entity dao.insert(newId, newProductName);
Since the JDBI library is able to work with JDBC connections, you can easily produce a SQL Object API for Snowflake by integrating with the CData JDBC Driver for Snowflake. Download a free trial and work with live Snowflake data in custom Java applications today.
Download a free trial of the Snowflake Driver to get started:
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