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  1. DZone
  2. Coding
  3. Java
  4. JPA Criteria With Pagination

JPA Criteria With Pagination

This introduction explores the synergy between JPA Criteria and Pagination, shedding light on how developers can leverage this combination to fetch and organize data.

By 
Amanuel G. Shiferaw user avatar
Amanuel G. Shiferaw
·
Nov. 17, 23 · Tutorial
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In Java Persistence API (JPA) development, the flexibility and dynamism of queries play a pivotal role, especially when dealing with dynamic search interfaces or scenarios where the query structure is known only at runtime. The JPA Criteria Query emerges as a powerful tool for constructing such dynamic queries, allowing developers to define complex search criteria programmatically.

One critical aspect of real-world applications, particularly those involving user interfaces for specific record searches, is the implementation of pagination. Pagination not only enhances the user experience by presenting results in manageable chunks but also contributes to resource optimization on the application side.

This introduction explores the synergy between JPA Criteria Query and Pagination, shedding light on how developers can leverage this combination to efficiently fetch and organize data. The ensuing discussion will delve into the steps involved in implementing pagination using JPA Criteria Query, providing a practical understanding of this essential aspect of Java persistence.

The Criteria API provides a powerful and flexible way to define queries dynamically, especially when the structure of the query is known only at runtime. In many real-world applications, providing a search interface with specific record requirements is common. Pagination, a technique where query results are split into manageable chunks, is essential for enhancing user experience and optimizing resource consumption on the application side.

Let's delve into the main points of implementing pagination using the JPA Criteria Query.

Note: This explanation assumes a working knowledge of the JPA Criteria AP.

Implementation Steps

Step 1: Fetching Records

Java
public List<Post> filterPosts(Integer size, Integer offset) {
    CriteriaBuilder criteriaBuilder = entityManager.getCriteriaBuilder();
    CriteriaQuery<Post> criteriaQuery = criteriaBuilder.createQuery(Post.class);
    Root<Post> root = criteriaQuery.from(Post.class);

    // Optional: Add selection criteria/predicates
    // List<Predicate> predicates = new ArrayList<>();
    // predicates.add(criteriaBuilder.equal(root.get("status"), "published"));
    // CriteriaQuery<Post> query = criteriaQuery.where(predicates);

    List<Post> postList = entityManager
                             .createQuery(criteriaQuery)
                             .setFirstResult(offset)
                             .setMaxResults(size)
                             .getResultList();
    return postList;
}


In this step, we use the CriteriaBuilder and CriteriaQuery to construct a query for the desired entity (Post, in this case). The from method is used to specify the root of the query. If needed, you can add selection criteria or predicates to narrow down the result set. Finally, the setFirstResult and setMaxResults methods are used for pagination, where offset specifies the start position, and size specifies the maximum number of results.

Step 2: Count All Records

Java
 
private int totalItemsCount(Predicate finalPredicate) {
    try {
        CriteriaBuilder criteriaBuilder = entityManager.getCriteriaBuilder();
        CriteriaQuery<Long> criteriaQuery = criteriaBuilder.createQuery(Long.class);

        // Optional: If joins are involved, you need to specify
        // Root<Post> root = criteriaQuery.from(Post.class);
        // Join<Post, Comments> joinComments = root.join("comments");

        return Math.toIntExact(entityManager.createQuery(criteriaQuery
                                    .select(criteriaBuilder.count(root))
                                    .where(finalPredicate))
          .getSingleResult());
    } catch (Exception e) {
        log.error("Error fetching total count: {}", e.getMessage());
    }
    return 0;
}


In this step, we define a method to count all records that satisfy the criteria. The criteriaBuilder is used to construct a CriteriaQuery of type Long to perform the count. The count query is constructed using the select and where methods and the result is obtained using getSingleResult.

This implementation provides insight into how the JPA Criteria Query can be utilized for efficient pagination. I hope it helped.

Java Persistence API Java (programming language)

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