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

Modernize your data layer. Learn how to design cloud-native database architectures to meet the evolving demands of AI and GenAI workkloads.

Secure your stack and shape the future! Help dev teams across the globe navigate their software supply chain security challenges.

Releasing software shouldn't be stressful or risky. Learn how to leverage progressive delivery techniques to ensure safer deployments.

Avoid machine learning mistakes and boost model performance! Discover key ML patterns, anti-patterns, data strategies, and more.

Related

  • Recurrent Workflows With Cloud Native Dapr Jobs
  • Thermometer Continuation in Scala
  • Thumbnail Generator Microservice for PDF in Spring Boot
  • From Zero to Meme Hero: How I Built an AI-Powered Meme Generator in React

Trending

  • Scaling in Practice: Caching and Rate-Limiting With Redis and Next.js
  • How to Format Articles for DZone
  • Stateless vs Stateful Stream Processing With Kafka Streams and Apache Flink
  • From Fragmentation to Focus: A Data-First, Team-First Framework for Platform-Driven Organizations
  1. DZone
  2. Data Engineering
  3. Data
  4. A Portable JPA Boolean Magic Converter

A Portable JPA Boolean Magic Converter

By 
Khoo Chen Shiang user avatar
Khoo Chen Shiang
·
Apr. 14, 08 · Interview
Likes (0)
Comment
Save
Tweet
Share
28.8K Views

Join the DZone community and get the full member experience.

Join For Free

The current Java Persistence API (JPA) standard does not mandate JPA provider to support data type conversions through annotations, not even a with simple boolean field. For readers who are unfamiliar with JPA, what I mean is, to persist a boolean field, JPA expects the database data type to be integer, where value of "1" means true, and value of "0" means false.

We simply just can't annotate the boolean field, specifying our own boolean field value, such as "True/False", "T/F", "Yes/No", "Y/N", "-1/0" and then let the JPA provider to convert those boolean field on the fly. As an example, I am expecting JPA will allow me to annotate a boolean field
@boolean(trueValue="Yes", falseValue="No")
private boolean enabled;

For me, this is a very annoying limitation, espeically when you have to deliver applications on an existing database with hundreds of tables.

After some research, I decided to create my own Java Annotation Processing Tool (APT) Compile Time Annotation, called @BooleanMagic, with a compile time Java APT preprocessing factory, which will automatically generate additional code to work around the issue.

I've also made some changes on the original code:

  • Fixed the bug of Null pointer exception, when JPA return null on the annotated field.
  • Introduce a new properties call ifNull, which allows user to configure what to return if JPA returns null, it expect enum of org.jbpcc.util.jpa.ReturnType, which have values of ReturnType.True, ReturnType.FALSE, and ReturnType.Null,. The default value of ifNull is ReturnType.Null

So here is an  example, assuming we have model class defined as below:

package org.jbpcc.domain.model;
import javax.persistence.Entity;
import javax.persistence.Id;
import org.jbpcc.util.jpa.BooleanMagic;
import org.jbpcc.util.jpa.BooleanMagic.ReturnType;

@Entitypublic class SomeVO
{
@Id private Integer id;
@BooleanMagic(trueValue = "Yes", falseValue = "No",
columnName = "OVERDUED", ifNull = ReturnType.FALSE)
private transient Boolean overdued;
public Boolean isOverdued()
{
return overdued;
}
public void setOverdued(Boolean overdued)
{
this.overdued = overdued;
}
}

Using Java APT with JPABooleanMagicConverter factory, the code above will be now be converted to:

@Entitypublic class SomeVO 
{     
     @Id   private Integer id;   
      private transient Boolean overdued;   
        //--- Lines below are generated by JBPCC BooleanMagicConvertor PROCESSOR   
        //--- START :   
       @Column(name="OVERDUED")   
       private String magicBooleanOverdued;   
       public Boolean isOverdued() 
      {      
         if (this.magicBooleanOverdued == null)          
              return false;       
          return this.magicBooleanOverdued.equals("Yes") ? Boolean.TRUE : Boolean.FALSE;   
      }   
      public Boolean getOverdued() 
     {       
          if (this.magicBooleanOverdued == null)            
               return false;       
             return this.magicBooleanOverdued.equals("Yes") ? Boolean.TRUE : Boolean.FALSE;   
      }   
       public void setOverdued(Boolean trueFlag) 
      {        
          this.magicBooleanOverdued = trueFlag ? "Yes" : "No";   
       }  
      //--- END  
       //--- GENERATED BY JBPCC BooleanMagicConvertor PROCESSOR
 }

I have put the annotation with it compile time process factory under my open source project - Java Batch Process control center, at http://code.google.com/p/jbpcc, I also posted an article at my blog detailing the usage of the annotation. I hope some readers will find the annotation and the APT preprocessing factory useful.

Do share your thoughts and suggestions.

Data Types

Opinions expressed by DZone contributors are their own.

Related

  • Recurrent Workflows With Cloud Native Dapr Jobs
  • Thermometer Continuation in Scala
  • Thumbnail Generator Microservice for PDF in Spring Boot
  • From Zero to Meme Hero: How I Built an AI-Powered Meme Generator in React

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!