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Pavel L., Java Engineer

Last Updated: 16 Aug 2023

- Software Engineer with over 10 years of practical development experience. - Practical experience with Java Standard Edition 7-17; Java Enterprise Edition(JPA, JTA, CDI, JMS, JSF, JAX-RS, Servlets API); - Hands on experience with Spring technological stack: Spring Core, Spring Boot, Spring Data, Spring Security; - Strong SQL knowledge and the corresponding experience with relational DBMS: Oracle, MSSQL, PostgreSQL; - Code quality assurance: refactoring, review using Crucible and Sonarqube; - Software architect skills: design of application architecture, decision-maker about technological stack; - Experience working in an Agile methodology; - Coordination of all the communications channels between the customer and team; - Development teams building, interviewing, hiring personnel; - Delivery complex software solutions for Application life-cycle management, Media and e-- - Commerce industries, Process automation, plug-in development for Atlassian products. - Intermediate English - Availability starting from ASAP

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Java   10 yr.

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Dmytro R, Data Engineer

Kharkiv, Ukraine
Last Updated: 3 Nov 2023

- 5 years of experience as a Data Engineer; - Proficient in Java, Python, JavaScript, and Bash scripting; - Experienced in working with databases such as MSSQL, MySQL, Postgresql, MongoDB, Oracle, DynamoDB, and Redshift; - Skilled in using IDEs like Eclipse and IntelliJ IDEA; - Knowledgeable in Maven, Servlets API, OOP, design patterns, JDBC, Hibernate, JPA, log4j, Git, SVN, Spring core, Spring MVC, Springboot, Hadoop, Spark, JSON, boto3, SQL Alchemy, spark, Pyspark, AWS lambda, AWS CLI, Jenkins, Kafka, jetty, REST; - Has experience in various domains including data engineering, backend web development, and software development; - Holds certifications in AWS machine learning and problem-solving; - English: Upper-intermediate.

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Python   5 yr.

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Alexandr A., Java Software Engineer

Last Updated: 4 Jul 2023

- 4+ years of experience in the IT industry as a Java Software Engineer - Upper-Intermediate English - Available ASAP

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Yehor K., Senior Java Engineer

Last Updated: 4 Jul 2023

- Have 5 years experience with Java and related technology; - Experience working with Docker; - Deep skills with PostgreSQL, MySQL, MS SQL Server; - Experience working with financial projects; - Good knowledge of PayPal API; - Experience working with AWS and Google API; - Experience with Microservices; - Good logical thinking, self-learning, high level of responsibility; - Responsible, hard-working, result-oriented, creative and communicative, team player; - Upper-Intermediate English.

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Hasmik Sh., Java Developer

Yerevan, Armenia
Last Updated: 4 Jul 2023

- 5+ years of experience in IT - Fluent English

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Table of Contents

Cases when JPA does not work

  1. Unsupported database features: JPA may not work properly or even fail to work altogether if the underlying database lacks certain features required by JPA. For example, if the database does not support the concept of foreign keys or does not have adequate support for transactions, JPA may encounter difficulties in mapping and persisting entities correctly.
  2. Custom SQL queries: JPA is primarily designed to work with standard CRUD operations and provide object-relational mapping. However, in cases where complex and custom SQL queries are required, JPA may not be the most suitable choice. Writing and executing such queries through JPA can be cumbersome and less efficient compared to using native queries or stored procedures directly.
  3. Non-relational databases: JPA is primarily targeted towards relational databases and may not be the ideal solution for working with non-relational databases such as MongoDB or Cassandra. The object-relational mapping provided by JPA is not designed to handle the unique data models and query languages of non-relational databases.
  4. Performance bottlenecks: While JPA offers convenience and abstraction, it can sometimes introduce performance overhead due to the additional layer of abstraction it adds. In scenarios where high-performance data access is crucial, using JPA may not be the optimal choice. Direct JDBC or other lower-level data access frameworks might be more suitable to achieve the best performance.
  5. Legacy databases and schemas: JPA relies heavily on mapping entities to database tables and columns. If you are working with a legacy database that does not follow standard naming conventions or has complex schema structures, JPA may face difficulties mapping entities correctly. In such cases, extensive customization and manual configuration may be required to make JPA work effectively.

Hard skills of a JPA Developer

As a JPA Developer, having a strong set of hard skills is crucial for success in the role. Here are the key hard skills required at different levels:


  • Java Programming: Proficiency in Java programming language for developing JPA applications.
  • Java Persistence API (JPA): Understanding of JPA concepts, annotations, and query language.
  • Database Knowledge: Familiarity with relational databases and SQL for interacting with the database.
  • Object-Oriented Design: Knowledge of object-oriented design principles and patterns.
  • Debugging and Troubleshooting: Ability to debug and troubleshoot issues in JPA applications.


  • Advanced JPA Concepts: Deep understanding of advanced JPA concepts like caching, lazy loading, and inheritance mapping.
  • Performance Optimization: Proficiency in optimizing JPA queries and database interactions for improved performance.
  • Database Design: Ability to design efficient database schemas and optimize queries for complex data models.
  • Testing: Experience in writing unit tests for JPA repositories and integration tests for JPA-based modules.
  • Version Control: Knowledge of version control systems like Git for managing source code changes.
  • Agile Methodology: Familiarity with Agile development methodologies and practices.
  • Code Review: Ability to conduct code reviews and provide constructive feedback to peers.


  • Optimization Techniques: Expertise in performance optimization techniques like query tuning, indexing, and caching.
  • Transaction Management: Proficiency in managing complex transactions and ensuring data consistency.
  • Data Modeling: Ability to design and implement complex data models using JPA entities and relationships.
  • ORM Frameworks: Experience in working with other ORM frameworks like Hibernate or EclipseLink.
  • Code Refactoring: Skill in refactoring code to improve maintainability, readability, and performance.
  • Design Patterns: In-depth knowledge of various design patterns and their application in JPA development.
  • Leadership: Experience in mentoring junior developers and leading development teams.
  • Problem Solving: Strong problem-solving skills to identify and resolve complex issues in JPA applications.

Expert/Team Lead

  • Architectural Design: Ability to design scalable and robust JPA architectures for enterprise-level applications.
  • Performance Monitoring: Proficiency in monitoring and analyzing application performance using tools like JProfiler or VisualVM.
  • Database Optimization: Expertise in optimizing database performance through query optimization, indexing strategies, and database tuning.
  • Code Quality Assurance: Experience in implementing coding standards, code reviews, and automated code analysis tools.
  • Team Management: Strong leadership and team management skills to guide and mentor a team of JPA developers.
  • Continuous Integration: Knowledge of CI/CD pipelines and tools like Jenkins for automating build and deployment processes.
  • Domain Knowledge: Deep understanding of the domain and business requirements to design effective JPA solutions.
  • Security: Proficiency in implementing security measures and best practices in JPA applications.
  • Performance Testing: Ability to conduct performance testing and identify bottlenecks in JPA applications.
  • Documentation: Skill in creating technical documentation and providing guidance to other developers.
  • Collaboration: Excellent communication and collaboration skills to effectively work with cross-functional teams.

How and where is JPA used?

Case NameCase Description
1. Object-Relational Mapping (ORM)JPA development provides a powerful ORM framework that allows developers to map Java objects to relational database tables. This enables seamless communication between the application and the database, eliminating the need for manual SQL queries and reducing the complexity of data persistence.
2. CRUD OperationsJPA simplifies the implementation of Create, Read, Update, and Delete (CRUD) operations. Developers can use JPA annotations and APIs to perform these operations on Java objects, which are automatically synchronized with the underlying database without the need for explicit SQL statements.
3. Data CachingJPA supports caching mechanisms that improve application performance by reducing the number of database queries. By caching frequently accessed data in memory, JPA minimizes the overhead of retrieving data from the database, resulting in faster response times and improved scalability.
4. Transaction ManagementJPA provides built-in support for managing database transactions. It enables developers to define transaction boundaries and handles the complexities of transaction management, such as rollback and commit operations. This ensures data integrity and consistency in multi-threaded or distributed environments.
5. Lazy LoadingJPA supports lazy loading, a technique that loads associated entities or collections only when they are explicitly accessed. This improves performance by reducing the amount of data fetched from the database, especially when dealing with complex object graphs.
6. Query LanguageJPA incorporates the Java Persistence Query Language (JPQL), which is a SQL-like language specifically designed for querying object-oriented data models. JPQL allows developers to write complex queries using object-oriented syntax, making it easier to express data retrieval requirements.
7. Relationships and AssociationsJPA simplifies the management of relationships and associations between entities. It provides annotations and APIs to define various types of relationships, such as one-to-one, one-to-many, and many-to-many. These relationships can be easily navigated and maintained within the application.
8. Schema GenerationJPA offers the ability to generate database schemas based on the entity classes. This eliminates the need for manual schema creation and ensures consistency between the application’s object model and the underlying database structure. It also simplifies the deployment process by automating the schema generation.
9. Integration with Java EEJPA seamlessly integrates with the Java Enterprise Edition (Java EE) platform, providing a standardized approach to data persistence across different Java EE containers. It leverages container-managed transactions, security, and other Java EE services, making it easier to develop robust and scalable enterprise applications.
10. Vendor IndependenceJPA is a specification that is implemented by various vendors, such as Hibernate, EclipseLink, and Apache OpenJPA. This allows developers to write JPA code that is not tightly coupled to a specific database or persistence provider. It promotes vendor independence and facilitates easier migration between different JPA implementations.

TOP 13 Tech facts and history of creation and versions about JPA Development

  • JPA stands for Java Persistence API and is a specification for accessing and managing relational data in Java applications.
  • It was first introduced in 2006 as part of the Java Enterprise Edition 5 (Java EE 5) release.
  • The JPA specification was created by a group of experts from various companies, including Oracle, IBM, and Red Hat.
  • JPA was designed to simplify and standardize the way Java developers interact with databases, providing a high-level abstraction over JDBC.
  • One of the key features of JPA is its support for Object-Relational Mapping (ORM), allowing developers to map Java objects to database tables.
  • The first version of JPA included features such as entity annotations, entity managers, and JPQL (Java Persistence Query Language).
  • In 2009, JPA 2.0 was released with significant enhancements, including support for criteria queries, validation, and improved performance.
  • JPA 2.1, released in 2013, introduced features like stored procedures, bulk updates, and support for schema generation.
  • JPA 2.2, released in 2017, added support for Java SE applications, allowing developers to use JPA outside of Java EE environments.
  • One of the most significant advancements in JPA is the introduction of JPA 2.0’s support for shared caching, improving performance by reducing database roundtrips.
  • JPA has become the de facto standard for Java persistence, with support from various Java frameworks like Spring and Java EE application servers.
  • Several popular JPA implementations are available, including Hibernate, EclipseLink, and OpenJPA.
  • JPA continues to evolve, with the latest version being JPA 2.2, which is part of the Jakarta EE 8 release.

Pros & cons of JPA

9 Pros of JPA

  • JPA provides a high-level abstraction over relational databases, allowing developers to work with objects instead of SQL queries.
  • It simplifies the development process by reducing the amount of boilerplate code required for database operations.
  • JPA offers a standardized API that is supported by multiple vendors, making it easy to switch between different database implementations.
  • Object-relational mapping in JPA enables developers to easily map Java objects to database tables, eliminating the need for manual SQL and data conversion.
  • JPA provides caching mechanisms that can improve performance by reducing the number of database queries.
  • It supports transparent persistence, meaning that changes made to managed entities are automatically synchronized with the database.
  • JPA supports lazy loading, allowing developers to load only the necessary data from the database, improving performance and reducing memory usage.
  • It offers a powerful query language called JPQL (Java Persistence Query Language) that provides a consistent way to query data across different databases.
  • JPA integrates well with other Java EE technologies, such as EJB (Enterprise JavaBeans) and CDI (Contexts and Dependency Injection).

9 Cons of JPA

  • JPA introduces an additional layer of complexity and can sometimes result in performance overhead compared to direct SQL queries.
  • It may not support all database-specific features, limiting the ability to utilize advanced database functionality.
  • JPA’s automatic dirty checking and flushing mechanism can lead to unexpected database operations and performance issues if not properly managed.
  • The learning curve for JPA can be steep, especially for developers who are new to object-relational mapping concepts.
  • Complex queries in JPQL can be harder to write and understand compared to native SQL queries.
  • JPA’s caching mechanism may lead to stale or outdated data if not properly configured and managed.
  • It may require additional configuration and setup compared to using raw JDBC for database operations.
  • JPA’s performance can be impacted when dealing with large datasets or complex object graphs.
  • It can be challenging to debug and troubleshoot issues related to JPA’s caching and transaction management.

TOP 10 JPA Related Technologies

  • Java

    Java is the most popular programming language for JPA software development. It is a robust and versatile language that provides excellent support for object-oriented programming. Java’s vast ecosystem, including frameworks and libraries, makes it an ideal choice for building JPA applications. With its strong community support and continuous updates, Java remains a top choice for developers.

  • Spring Framework

    The Spring Framework is widely used in JPA software development due to its excellent support for ORM (Object-Relational Mapping). It provides a comprehensive set of features for building enterprise-grade applications, including powerful support for JPA entities, transactions, and data access. Spring’s modular architecture and extensive documentation make it a favorite among developers.

  • Hibernate

    Hibernate is a popular ORM framework for JPA software development. It simplifies the mapping between Java objects and relational databases, allowing developers to focus on business logic rather than low-level database operations. Hibernate offers advanced features like lazy loading, caching, and optimistic locking, making it a go-to choice for JPA developers.

  • Oracle Database

    Oracle Database is a leading choice for JPA software development. It is a powerful and scalable relational database management system that provides excellent support for JPA features. With its robust transaction management, security features, and high performance, Oracle Database is widely used in enterprise-level JPA applications.

  • MySQL

    MySQL is a popular open-source database management system widely used in JPA software development. It is known for its ease of use, scalability, and reliability. MySQL provides excellent support for JPA through various connectors and libraries, making it a preferred choice for developers working on JPA applications.

  • Apache Tomcat

    Apache Tomcat is a widely used web server and servlet container for JPA software development. It provides a reliable and efficient runtime environment for Java web applications, including those using JPA. Tomcat’s robustness, scalability, and support for multiple platforms make it a popular choice among developers.

  • Git

    Git is a widely used version control system in JPA software development. It allows developers to track changes in their codebase, collaborate with teammates, and manage different versions of their JPA projects effectively. With its distributed nature and extensive branching and merging capabilities, Git has become an essential tool for JPA developers.

What are top JPA instruments and tools?

  • EclipseLink: EclipseLink is an open-source JPA implementation that provides advanced features such as caching, lazy loading, and support for multiple database platforms. It has been actively developed since 2008 and is widely used in enterprise applications.
  • Hibernate: Hibernate is one of the most popular JPA implementations and has been around since 2001. It offers a wide range of features, including automatic schema generation, query optimization, and support for caching strategies. Hibernate is known for its ease of use and extensive documentation.
  • OpenJPA: OpenJPA is an Apache project that provides a full-featured JPA implementation. It includes support for dynamic byte code enhancement, fetch plan optimization, and declarative cache configuration. OpenJPA has been actively maintained since 2006 and is used in various enterprise applications.
  • DataNucleus: DataNucleus is a flexible JPA implementation that supports multiple persistence standards, including JPA, JDO, and REST. It offers features such as automatic schema generation, dynamic fetch groups, and support for various datastores, including RDBMS, NoSQL, and file-based systems. DataNucleus has been in development since 2003 and is used in a wide range of applications.
  • Apache Cayenne: Apache Cayenne is a lightweight JPA framework that focuses on simplicity and ease of use. It provides features such as automatic schema generation, object-relational mapping, and support for transparent persistence. Cayenne has been actively developed since 2001 and is known for its excellent community support.
  • Spring Data JPA: Spring Data JPA is a part of the Spring Data project and provides an abstraction layer on top of JPA. It simplifies the development of JPA-based applications by providing automatic repository generation, query method generation, and support for various data access patterns. Spring Data JPA has gained popularity due to its integration with other Spring technologies and its extensive community support.
  • Batoo JPA: Batoo JPA is a high-performance JPA implementation that focuses on minimizing overhead and providing efficient database access. It offers features such as bytecode enhancement, query optimization, and support for various caching strategies. Batoo JPA has gained recognition for its performance benchmarks and is used in performance-critical applications.
  • Blaze-Persistence: Blaze-Persistence is an open-source JPA extension that provides advanced query capabilities and performance optimizations. It offers features such as query caching, query optimization, and support for complex data access patterns. Blaze-Persistence is known for its flexibility and ability to handle high-performance requirements.

Soft skills of a JPA Developer

Soft skills are just as important as technical skills for a JPA Developer. These skills help them effectively collaborate with team members, communicate with stakeholders, and adapt to changing project requirements. Here are the soft skills required for a JPA Developer at different levels:


  • Problem-solving skills: Ability to analyze and troubleshoot issues in JPA implementations.
  • Attention to detail: Ensuring accuracy and precision in code and data modeling.
  • Time management: Ability to prioritize tasks and meet deadlines.
  • Team collaboration: Working effectively with other developers and stakeholders.
  • Strong communication: Clearly conveying ideas and updates to team members and stakeholders.


  • Leadership: Taking ownership of tasks and guiding junior developers.
  • Adaptability: Being open to change and quickly learning new technologies or methodologies.
  • Analytical thinking: Ability to assess complex scenarios and make informed decisions.
  • Mentoring: Sharing knowledge and providing guidance to junior developers.
  • Client interaction: Engaging with clients to understand their requirements and provide solutions.
  • Conflict resolution: Resolving conflicts within the team and finding mutually beneficial solutions.
  • Self-motivation: Taking initiative and driving projects forward.


  • Strategic thinking: Aligning JPA implementations with broader organizational goals.
  • Project management: Overseeing the entire development process and coordinating resources.
  • Collaboration: Building strong relationships with stakeholders and effectively managing expectations.
  • Decision-making: Making informed choices based on technical expertise and business needs.
  • Influence: Ability to persuade and gain buy-in for technical solutions.
  • Continuous learning: Staying updated with the latest advancements in JPA and related technologies.
  • Empathy: Understanding the needs and perspectives of team members and stakeholders.
  • Conflict management: Resolving conflicts at both individual and team levels.

Expert/Team Lead

  • Strategic planning: Setting long-term goals and defining the technical roadmap for the team.
  • Team management: Leading and motivating a team of developers to deliver high-quality results.
  • Innovation: Introducing new ideas and approaches to improve JPA development processes.
  • Business acumen: Understanding the impact of JPA implementations on the overall business.
  • Negotiation: Navigating complex negotiations with stakeholders and clients.
  • Risk management: Identifying and mitigating potential risks in JPA projects.
  • Conflict resolution: Resolving conflicts between team members or departments.
  • Networking: Building relationships with industry professionals and staying connected to the JPA community.
  • Technical expertise: Possessing an in-depth understanding of JPA and related technologies.
  • Strategic communication: Effectively conveying technical concepts to non-technical stakeholders.
  • Leading by example: Demonstrating professionalism, integrity, and a strong work ethic.

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