JPA標準GROUP BY子句

GROUP BY子句用於從一個或多個表中收集數據並將它們排列在一個分組中。 在Criteria API中,AbstractQuery接口的groupBy()方法用於過濾記錄並對它們進行分組。

標準GROUP BY示例

在這裏,我們將在student表上執行多個GROUP BY操作。假設該表包含以下記錄 -

DROP TABLE IF EXISTS `student`;
CREATE TABLE `student` (
  `S_ID` int(11) NOT NULL,
  `S_NAME` varchar(255) DEFAULT NULL,
  `S_AGE` int(11) DEFAULT NULL,
  PRIMARY KEY (`S_ID`)
) ENGINE=MyISAM DEFAULT CHARSET=utf8;

-- ----------------------------
-- Records of student
-- ----------------------------
INSERT INTO `student` VALUES ('101', 'Gaurav', '24');
INSERT INTO `student` VALUES ('102', 'Rahul', '22');
INSERT INTO `student` VALUES ('103', 'Chris', '20');
INSERT INTO `student` VALUES ('104', 'Ronit', '26');
INSERT INTO `student` VALUES ('105', 'Roy', '21');

現在,請按照以下步驟執行操作: -

第1步: 創建一個實體類。在com.yiibai.jpa包下創建了StudentEntity.java類文件。 該類包含三個屬性:s_ids_names_age以及所有必需的註解。

文件:StudentEntity.java -

package com.yiibai.jpa;

import javax.persistence.*;

@Entity
@Table(name = "student")
public class StudentEntity {

    @Id
    private int s_id;
    private String s_name;
    private int s_age;

    public StudentEntity(int s_id, String s_name, int s_age) {
        super();
        this.s_id = s_id;
        this.s_name = s_name;
        this.s_age = s_age;
    }

    public StudentEntity() {
        super();
    }

    public int getS_id() {
        return s_id;
    }

    public void setS_id(int s_id) {
        this.s_id = s_id;
    }

    public String getS_name() {
        return s_name;
    }

    public void setS_name(String s_name) {
        this.s_name = s_name;
    }

    public int getS_age() {
        return s_age;
    }

    public void setS_age(int s_age) {
        this.s_age = s_age;
    }

}

第2步: 將實體類和其他數據庫配置映射到 persistence.xml 文件中。

文件:Persistence.xml -

<?xml version="1.0" encoding="UTF-8"?>
<persistence version="2.1"
    xmlns="http://xmlns.jcp.org/xml/ns/persistence"
    xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance"
    xsi:schemaLocation="http://xmlns.jcp.org/xml/ns/persistence http://xmlns.jcp.org/xml/ns/persistence/persistence_2_1.xsd">
    <persistence-unit name="Student_details">
        <class>com.yiibai.jpa.StudentEntity</class>  
        <properties>
            <property name="javax.persistence.jdbc.driver"
                value="com.mysql.jdbc.Driver" />
            <property name="javax.persistence.jdbc.url"
                value="jdbc:mysql://localhost:3306/testdb?serverTimezone=UTC" />
            <property name="javax.persistence.jdbc.user" value="root" />
            <property name="javax.persistence.jdbc.password"
                value="123456" />
            <property name="eclipselink.logging.level" value="SEVERE" />
            <property name="eclipselink.ddl-generation"
                value="create-or-extend-tables" />
        </properties>
    </persistence-unit>

</persistence>

這裏,我們創建了基本實體類並將配置映射到persistence.xml 文件中,可以通過以下方式執行不同類型的GROUP BY排序操作 -

在這裏,我們將通過一個簡單的示例演示如何從數據庫指定GROUP BY條件查詢獲取分組後的數據。

文件:StudentGroup.java -

package com.yiibai.jpa.jpql;

import com.yiibai.jpa.StudentEntity;
import javax.persistence.*;
import javax.persistence.criteria.*;

import java.util.*;

public class StudentGroup {

    public static void main(String args[]) {

        EntityManagerFactory emf = Persistence.createEntityManagerFactory("Student_details");
        EntityManager em = emf.createEntityManager();
        em.getTransaction().begin();

        CriteriaBuilder cb = em.getCriteriaBuilder();
        CriteriaQuery<Object[]> cq = cb.createQuery(Object[].class);
        Root<StudentEntity> stud = cq.from(StudentEntity.class);
        cq.multiselect(stud.get("s_age"), cb.count(stud)).groupBy(stud.get("s_age"));

        System.out.print("s_age");
        System.out.println("\t Count");
        List<Object[]> list = em.createQuery(cq).getResultList();
        for (Object[] object : list) {
            System.out.println(object[0] + "     " + object[1]);

        }

        em.getTransaction().commit();
        em.close();
        emf.close();
    }
}

執行上面代碼,得到以下輸出結果 -

s_age     Count
20     1
21     1
22     1
24     1
26     1
0 條評論,你可以發表評論,我們會進行改進
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