Ready to get started?

Learn more about the CData JDBC Driver for BigCommerce or download a free trial:

Download Now

JDBI からBigCommerce Data のデータアクセスオブジェクトを作成

JDBI でBigCommerce data 用のSQL オブジェクトAPIを作成する方法を概説します。

JDBI は、Fluent スタイルとSQL オブジェクトスタイルという2つの異なるスタイルAPI を公開する、Java 用のSQL コンビニエンスライブラリです。CData JDBC Driver for BigCommerce は、Java アプリケーションとリアルタイムBigCommerce data のデータ連携を実現します。これらの技術を組み合わせることによって、BigCommerce data へのシンプルなコードアクセスが可能になります。ここでは、基本的なDAO(Data Access Object )とそれに付随するBigCommerce data の読み書きのためのコードの作成について説明します。

BigCommerce Customers Entity のDAO を作成

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 MyCustomersDAO { //insert new data into BigCommerce @SqlUpdate("INSERT INTO Customers (FirstName, LastName) values (:firstName, :lastName)") void insert(@Bind("firstName") String firstName, @Bind("lastName") String lastName); //request specific data from BigCommerce (String type is used for simplicity) @SqlQuery("SELECT LastName FROM Customers WHERE FirstName = :firstName") String findLastNameByFirstName(@Bind("firstName") String firstName); /* * close with no args is used to close the connection */ void close(); }

BigCommerce への接続を開く

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

BigCommerce authentication is based on the standard OAuth flow. To authenticate, you must initially create an app via the Big Commerce developer platform where you can obtain an OAuthClientId, OAuthClientSecret, and CallbackURL. These three parameters will be set as connection properties to your driver.

Additionally, in order to connect to your BigCommerce Store, you will need your StoreId. To find your Store Id please follow these steps:

  1. Log in to your BigCommerce account.
  2. From the Home Page, select Advanced Settings > API Accounts.
  3. Click Create API Account.
  4. A text box named API Path will appear on your screen.
  5. Inside you can see a URL of the following structure:{Store Id}/v3.
  6. As demonstrated above, your Store Id will be between the 'stores/' and '/v3' path paramters.
  7. Once you have retrieved your Store Id you can either click Cancel or proceed in creating an API Account in case you do not have one already.


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

java -jar cdata.jdbc.bigcommerce.jar

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

A connection string for BigCommerce will typically look like the following:

jdbc:bigcommerce:OAuthClientId=YourClientId; OAuthClientSecret=YourClientSecret; StoreId='YourStoreID'; CallbackURL='http://localhost:33333'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:bigcommerce:OAuthClientId=YourClientId; OAuthClientSecret=YourClientSecret; StoreId='YourStoreID'; CallbackURL='http://localhost:33333'InitiateOAuth=GETANDREFRESH"); MyCustomersDAO dao =; //do stuff with the DAO dao.close();

BigCommerce Data について

With the connection open to BigCommerce, simply call the previously defined method to retrieve data from the Customers entity in BigCommerce.

//disply the result of our 'find' method String lastName = dao.findLastNameByFirstName("Bob"); System.out.println(lastName);

BigCommerce Data の書き方

It is also simple to write data to BigCommerce, using the previously defined method.

//add a new entry to the Customers entity dao.insert(newFirstName, newLastName);

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