What is ORM?
ORM stands for Object-Relational Mapping. It is a programming technique that acts as a mediator between a relational database and an object of object oriented programming language. It is also known as a tool among the users in the industry. Moreover, it reduces the need for manually writing SQL queries. Unlike the traditional JDBC approach, it eliminates the complexities of mapping objects to relational database tables.
What is Java ORM?
When we implement ORM technique with Java language, it is known as Java ORM. It directly maps the Java classes to database tables in such a way that the Java class name becomes the table name in the database by default. Likewise, the class variable names become the column names of the table.
Why do we use ORM in Java?
There is a list of several reasons of using ORM in Java. Some of the important reasons are:
1) ORM provides an abstraction layer that hides the complications of SQL queries and database communications.
2) Developers can work with objects and use high-level API methods provided by the ORM. This reduces the code complexity and makes it easier to manage and maintain.
3) ORM in Java controls the mapping between Java objects and database tables automatically. Unlike traditional JDBC code, it reduces the need for manual mapping code and helps developers work with objects more naturally.
4) ORM offers developers to write code that can work with multiple databases. It means that switching from one database to another becomes easier, as the ORM internally handles the required common database-specific operations and optimizations.
5) ORM provides a set of features and utilities that simplify the most widely used common database operations, such as CRUD (Create, Read, Update, Delete) operations.
6) ORM often incorporates caching mechanisms, lazy loading, and query optimization techniques to improve performance. These features can decrease the number of database queries, optimize data retrieval, and improve the overall efficiency of database operations.
What are ORM frameworks in Java?
There are various frameworks in the market that are built on using ORM technique are known as ORM frameworks. Some of the commonly used ORM frameworks in Java are:
1) Hibernate: Hibernate is one of the most popular and widely used ORM frameworks in Java that implements JPA specifications. It provides a complete set of features for mapping Java objects to relational databases, handling database operations, and managing relationships between entities. Hibernate supports various mapping strategies, caching mechanisms, and query capabilities etc.
2) EclipseLink: EclipseLink is an ORM framework developed by the Eclipse Foundation. It offers robust features for object-relational mapping, including support for JPA (Java Persistence API). EclipseLink provides a high-performance persistence solution with features like caching, lazy loading, and advanced query capabilities etc.
3) Apache OpenJPA: Apache OpenJPA is an open-source ORM framework that implements the JPA specification. It offers a range of features for mapping Java objects to databases, managing transactions, and optimizing performance. OpenJPA provides support for various database vendors and supports caching and query optimization.
4) MyBatis: MyBatis, formerly known as iBATIS, is a lightweight persistence framework that combines ORM and SQL mapping. It allows developers to write SQL queries and map the results to Java objects. MyBatis provides flexibility and control over the database interactions while still simplifying the mapping process.
5) Spring Data JPA: Spring Data JPA is part of the Spring Data framework, which aims to simplify database access in Spring applications. It provides a layer of abstraction over JPA and offers a repository-centric approach to working with data. Spring Data JPA reduces boilerplate code by generating repository implementations based on interfaces and provides query creation mechanisms.
In modern Spring Boot based applications, Spring Data JPA is the most widely used API in order to obtain the benefits of ORM technique.
How does an ORM framework work in Java?
1) Object-Relational Mapping Configuration: Developers define mappings between Java classes (entities) and database tables using annotations, XML configurations, or a combination of both. These mappings specify how the fields of the Java class map to the columns in database tables.
2) Entity Persistence: When an application creates or modifies Java objects, the ORM framework tracks these changes. When the application is ready to save the changes to the database, the ORM framework generates the necessary SQL statements (insert, update, delete) based on the configured mappings and the modified objects.
3) Query Execution: ORM frameworks provide mechanisms to perform database queries using a higher-level query language, often based on SQL. The frameworks generate SQL queries based on the specified criteria and execute them against the database. The results are then mapped back to Java objects.
4) Relationship Management: ORM frameworks handle relationships between entities, such as one-to-one, one-to-many, many-to-one or many-to-many. The frameworks provide mechanisms to define and manage these relationships, ensuring reliability and preserving referential integrity in the database.
5) Caching: ORM frameworks often incorporate caching mechanisms to improve performance. They cache first time queried objects in order to reduce the need for repeated database access. Caching can be performed at different levels, such as the session-level cache or a shared cache across sessions. In some cases, we also call them first level cache and second level cache.
6) Transaction Management: ORM frameworks support transaction management, ensuring that changes to the database are atomic, consistent, isolated, and durable (ACID properties). They provide APIs to define transaction boundaries, manage transactional operations, and handle the transaction commit or rollback.
7) Lazy Loading: ORM frameworks implement lazy loading to optimize data retrieval. When accessing related entities or collections, the ORM framework fetches the data from the database only when needed, reducing unnecessary data retrieval and enhancing performance.
8) Database Abstraction: ORM frameworks provide a level of abstraction over the underlying database systems. They handle the database-specific details, such as generating database-specific SQL statements, translating data types, and optimizing queries for specific databases.
What are the Advantages of ORM in Java?
1) Database Independence: With ORM, developers can write database independent code. The ORM handles the translation of object-oriented operations into the corresponding database specific SQL statements. This also allows applications to switch between different database systems without requiring significant code changes when required.
2) Simplified Database Operations: ORM provides inbuilt APIs and query languages that abstract the complexities of writing database operations. By using inbuilt APIs, developers can perform tasks like CRUD (Create, Read, Update, Delete) operations and complex queries with minimal effort. It eliminates the possibility of errors and improves code readability.
3) Reduced Boilerplate code: Traditionally, when working with databases using JDBC, developers had to write a considerable amount of repetitive code to handle tasks such as establishing database connections, writing SQL queries, mapping query results to Java objects, and handling transaction management. This boilerplate code added complexity and made the codebase harder to maintain. ORM reduces the boilerplate code by simplifying not only the process of establishing the database connection, but also underlying database operations.
4) Increased Productivity: ORM frameworks, such as Hibernate and EclipseLink, provide high-level abstractions that significantly reduce the amount of boilerplate code required to interact with databases. Developers can focus on writing business logic rather than dealing with low-level SQL queries, resulting in increased productivity and faster development cycles.
5) Object-oriented Model: ORM enables developers to work with databases using object-oriented concepts, such as inheritance, encapsulation, and polymorphism. This simplifies the mapping of complex object relationships to database tables, making it easier to represent real-world scenarios in code.
6) Performance Optimization: ORM frameworks optimize database interactions by implementing caching mechanisms, lazy loading, and efficient transaction management. These optimizations enhance application performance and scalability.
How to work with ORM in Java?
If you want to apply the ORM technique in your Java based project, you need to use an ORM framework such as Hibernate, EclipseLink etc. Moreover, below are the guidelines to work with ORM in Java.
1) Choose an ORM Framework: Java offers several popular ORM frameworks, including Hibernate, EclipseLink, OpenJPA, TopLink, MyBatis and Apache Cayenne. Each framework has its own features and strengths, so it becomes important for you to evaluate the requirements of your project before selecting one. Undoubtedly, Hibernate is the most popular framework out of them.
2) Set up the ORM Framework: Once you have selected an ORM framework, you need to set up the necessary dependencies and configuration files in your Java project. This usually involves adding the ORM framework’s JAR files to the classpath and configuring the database connection properties. If you are working on a Spring or Spring Boot based project, it requires the minimum configuration.
3) Mapping Java Objects to Database Tables: ORM frameworks use annotations or XML configuration files to define the mappings between Java classes and database tables. These mappings specify how object properties are connected with database tables to save and retrieve data.
4) Performing Database Operations: ORM frameworks provide user friendly APIs to perform CRUD operations and execute queries. Developers can use these APIs to interact with the database and perform the required operations. Apart from that, developers can also use various query languages, such as Hibernate Query Language (HQL) or Java Persistence Query Language (JPQL), to interact with the database.
5) Transactions and Caching: ORM frameworks handle transaction management to ensure data consistency and integrity. They also offer caching mechanisms to minimize database round trips and improve performance.
What are the Best Practices and Considerations while using ORM Frameworks?
In order to work with ORM frameworks, it is important to know the best practices and considerations as described below:
1) Efficient Class Design: Properly designing the Java classes and creating suitable relationships between tables is crucial when working with ORM. Extra care needs to be taken while creating various relationships between entities such as one to one, many to one, one to many, and many to many. You may go through the detailed article on entity relationships in ORM frameworks with examples. This ensures optimal performance and simplifies object-to-table mapping.
2) Performance Tuning: ORM frameworks offer various techniques for optimizing performance, such as generating efficient SQL queries, caching mechanisms, lazy fetch strategy, batch processing, connection pooling mechanisms, and other to fine-tune performance-related settings. We can utilize these options when required.
3) Query Optimization: ORM frameworks provide mechanisms to optimize queries by leveraging features like translating the operations into efficient SQL statements, generating appropriate join clauses in SQL queries, lazy loading (loading related entities on demand), batch loading (loading related entities in batches to minimize queries), caching the results of executed queries and reusing them, utilizing appropriate indexes on the relevant columns, query hints etc. It is important to analyze and optimize the performance of frequently executed queries to ensure efficient database operations.
4) Efficient Data Fetching: ORM frameworks offer different strategies for fetching related data, such as eager loading and lazy loading. Choosing the appropriate fetching strategy based on the application’s requirements can minimize unnecessary database queries and improve performance.
5) Database-Specific Optimizations: ORM frameworks may offer database-specific optimizations. They can influence specific features or syntax provided by the specific database to enhance query performance. These optimizations can include using database-specific functions, utilizing database-specific query hints, or taking advantage of advanced query execution options provided by the database.
How is ORM useful in Spring ORM module?
Spring ORM is a module within the Spring Framework that provides integration and support for Object-Relational Mapping (ORM) frameworks in Java applications. It targets to simplify the development of data access layers by combining the powerful features of Spring with popular ORM frameworks like Hibernate, JPA (Java Persistence API), and MyBatis.
1) Simplified Data Access: The Spring ORM module simplifies data access by providing a consistent and unified approach across different ORM frameworks. It eliminates the need for boilerplate code and reduces the complexity of database operations. Developers can utilize the power of ORM frameworks in addition to benefiting from Spring’s extensive features.
2) Flexible Transaction Management: Spring ORM offers flexible and declarative transaction management. It integrates smoothly with Spring’s transaction management capabilities, allowing developers to define transaction boundaries using annotations or XML configurations. This simplifies the handling of database transactions, ensuring data consistency and integrity.
3) Smooth Integration: The Spring ORM module effortlessly integrates with various ORM frameworks, enabling developers to choose the one that best suits their project requirements. Whether it’s Hibernate, JPA, or MyBatis, developers can use their preferred ORM framework while still enjoying the benefits of Spring’s dependency injection, inversion of control, and other features.
4) Efficient Caching: Caching is crucial for optimizing performance, and the Spring ORM module provides built-in support for both first-level and second-level caching. With first-level caching, commonly accessed objects are stored in memory, reducing the need for repetitive database queries. Additionally, the second-level cache, which can be configured based on the chosen ORM framework, further enhances performance by caching query results and reducing database round trips.
5) Easy Configuration and Testing: Spring ORM simplifies the configuration process by providing consistent and straightforward configuration options. Developers can define data source properties, ORM-specific settings, and transaction management details in a centralized configuration file.
6) Enhanced Flexibility and Portability: By utilizing the Spring ORM module, developers achieve enhanced flexibility and portability. The module abstracts away the underlying database technologies, allowing developers to write code that is independent of specific database implementations. This abstraction enables the application to be more portable across different databases, enabling easy migration or integration with different data sources.
What are the disadvantages of Using ORM Tools/Frameworks?
Apart from various benefits, ORM frameworks also have some minor disadvantages that developers should consider:
1) Performance Overhead: The additional layer of abstraction between the application and the database can sometimes invite performance overhead as compared to writing manual SQL queries. ORM frameworks generate and execute SQL queries dynamically, which may not be as efficient as hand written queries by experienced developers.
2) Learning Curve: ORM frameworks often have a learning curve in order to understand their concept, APIs, and hands on. Developers need to familiarize themselves with the framework’s documentation, configuration, and conventions. This learning process can require additional time and effort, particularly for complex ORM frameworks.
3) Vendor Lock-In: Adopting an ORM framework often binds the application to the specific framework and its conventions. Migrating from the ORM framework or switching to a different one may need considerable code changes and tunings. This can restrict flexibility and make the application less portable across different database systems or future technology choices.
4) Regular Updates: ORM frameworks require regular updates to stay up-to-date with the growing database technologies. Developers need to keep track of framework updates, bug fixes, and new versions to ensure the application remains compatible with it. This maintenance effort may include an additional overhead to the development process.
ORM in Java has transformed the way developers interact with databases by providing a smooth integration between object-oriented programming and relational databases. By using ORM frameworks, developers can improve productivity, enhance maintainability, and simplify complex database operations. It is essential to choose the right ORM framework, follow best practices, and consider performance optimization techniques to maximize the benefits of ORM in Java for application development.