DZone
Thanks for visiting DZone today,
Edit Profile
  • Manage Email Subscriptions
  • How to Post to DZone
  • Article Submission Guidelines
Sign Out View Profile
  • Post an Article
  • Manage My Drafts
Over 2 million developers have joined DZone.
Log In / Join
Please enter at least three characters to search
Refcards Trend Reports
Events Video Library
Refcards
Trend Reports

Events

View Events Video Library

Zones

Culture and Methodologies Agile Career Development Methodologies Team Management
Data Engineering AI/ML Big Data Data Databases IoT
Software Design and Architecture Cloud Architecture Containers Integration Microservices Performance Security
Coding Frameworks Java JavaScript Languages Tools
Testing, Deployment, and Maintenance Deployment DevOps and CI/CD Maintenance Monitoring and Observability Testing, Tools, and Frameworks
Culture and Methodologies
Agile Career Development Methodologies Team Management
Data Engineering
AI/ML Big Data Data Databases IoT
Software Design and Architecture
Cloud Architecture Containers Integration Microservices Performance Security
Coding
Frameworks Java JavaScript Languages Tools
Testing, Deployment, and Maintenance
Deployment DevOps and CI/CD Maintenance Monitoring and Observability Testing, Tools, and Frameworks

Because the DevOps movement has redefined engineering responsibilities, SREs now have to become stewards of observability strategy.

Apache Cassandra combines the benefits of major NoSQL databases to support data management needs not covered by traditional RDBMS vendors.

The software you build is only as secure as the code that powers it. Learn how malicious code creeps into your software supply chain.

Generative AI has transformed nearly every industry. How can you leverage GenAI to improve your productivity and efficiency?

Related

  • Understanding the Differences Between Repository and Data Access Object (DAO)
  • An Introduction to Object Mutation in JavaScript
  • The Role of Data Governance in Data Strategy: Part 3
  • Leveraging Microsoft Graph API for Unified Data Access and Insights

Trending

  • The End of “Good Enough Agile”
  • Agile’s Quarter-Century Crisis
  • Creating a Web Project: Caching for Performance Optimization
  • Modern Test Automation With AI (LLM) and Playwright MCP
  1. DZone
  2. Data Engineering
  3. Data
  4. Create a Data Access Object for NetSuite Data Using JDBI

Create a Data Access Object for NetSuite Data Using JDBI

Get a quick overview of how to produce a SQL Object API for NetSuite by integrating with the CData JDBC Driver for NetSuite.

By 
Jerod Johnson user avatar
Jerod Johnson
·
Oct. 05, 17 · Tutorial
Likes (2)
Comment
Save
Tweet
Share
3.4K Views

Join the DZone community and get the full member experience.

Join For Free

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 NetSuite integrates connectivity to live NetSuite data in Java applications. By pairing these technologies, you gain simple, programmatic access to NetSuite data. This article walks through building a basic Data Access Object (DAO) and the accompanying code to read and write NetSuite data.

Create a DAO for the NetSuite SalesOrder 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 MySalesOrderDAO {
  //insert new data into NetSuite
  @SqlUpdate("INSERT INTO SalesOrder (Class_Name, SalesOrderTotal) values (:class_Name, :salesOrderTotal)")
  void insert(@Bind("class_Name") String class_Name, @Bind("salesOrderTotal") String salesOrderTotal);

  //request specific data from NetSuite (String type is used for simplicity)
  @SqlQuery("SELECT SalesOrderTotal FROM SalesOrder WHERE Class_Name = :class_Name")
  String findSalesOrderTotalByClass_Name(@Bind("class_Name") String class_Name);

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

Open a Connection to NetSuite

Collect the necessary connection properties and construct the appropriate JDBC URL for connecting to NetSuite, which will typically look like the following:

jdbc:netsuite:Account Id=XABC123456;Password=password;User=user;Role Id=3;Version=2013_1;

The User and Password properties under the Authentication section must be set to valid NetSuite user credentials. In addition, the Account Id must be set to the ID of a company account that can be used by the specified User. The Role Id can be optionally specified to log in the user with limited permissions.

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:netsuite:Account Id=XABC123456;Password=password;User=user;Role Id=3;Version=2013_1;");
MySalesOrderDAO dao = dbi.open(MySalesOrderDAO.class);

//do stuff with the DAO

dao.close();

Read NetSuite Data

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

//display the result of our 'find' method
String salesOrderTotal = dao.findSalesOrderTotalByClass_Name("Furniture : Office");
System.out.println(salesOrderTotal);

Write NetSuite Data

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

//add a new entry to the SalesOrder entity
dao.insert(newClass_Name, newSalesOrderTotal);

Since the JDBI library is able to work with JDBC connections, you can easily produce a SQL Object API for NetSuite by integrating with the CData JDBC Driver for NetSuite. 

Data (computing) Data access object Data access Object (computer science)

Published at DZone with permission of Jerod Johnson, DZone MVB. See the original article here.

Opinions expressed by DZone contributors are their own.

Related

  • Understanding the Differences Between Repository and Data Access Object (DAO)
  • An Introduction to Object Mutation in JavaScript
  • The Role of Data Governance in Data Strategy: Part 3
  • Leveraging Microsoft Graph API for Unified Data Access and Insights

Partner Resources

×

Comments
Oops! Something Went Wrong

The likes didn't load as expected. Please refresh the page and try again.

ABOUT US

  • About DZone
  • Support and feedback
  • Community research
  • Sitemap

ADVERTISE

  • Advertise with DZone

CONTRIBUTE ON DZONE

  • Article Submission Guidelines
  • Become a Contributor
  • Core Program
  • Visit the Writers' Zone

LEGAL

  • Terms of Service
  • Privacy Policy

CONTACT US

  • 3343 Perimeter Hill Drive
  • Suite 100
  • Nashville, TN 37211
  • support@dzone.com

Let's be friends:

Likes
There are no likes...yet! 👀
Be the first to like this post!
It looks like you're not logged in.
Sign in to see who liked this post!