JPA 列精度范围示例
JPA教程 - JPA列精度范围示例
当将Java float或double值映射到数据库表列时,我们可以设置数字类型列的精度尺度。
以下代码将浮点值映射到具有精度8和尺度2的数据库表列。
@Column(precision=8, scale=2) private float hourlyRate;
例子
下面的代码来自Person.java。
package cn.w3cschool.common;
import javax.persistence.Column;
import javax.persistence.Entity;
import javax.persistence.Id;
import javax.persistence.Table;
@Entity
@Table(name="EMP")
public class Person {
@Id
private long id;
@Column(unique=true, nullable=false)
private String name;
private String surname;
@Column(precision=8, scale=2)
private float hourlyRate;
public Person() {}
public Person(String name, String surname) {
this.name = name;
this.surname = surname;
}
public float getHourlyRate() {
return hourlyRate;
}
public void setHourlyRate(float hourlyRate) {
this.hourlyRate = hourlyRate;
}
public Long getId() {
return id;
}
public void setId(Long id) {
this.id = id;
}
public String getName() {
return name;
}
public void setName(String name) {
this.name = name;
}
public String getSurname() {
return surname;
}
public void setSurname(String surname) {
this.surname = surname;
}
@Override
public String toString() {
return "Person [id=" + id + ", name=" + name + ", surname=" + surname
+ ", hourlyRate=" + hourlyRate + "]";
}
}
下面的代码来自PersonDaoImpl.java。它显示如何使用Person实体。
package cn.w3cschool.common;
import java.util.List;
import javax.persistence.EntityManager;
import javax.persistence.PersistenceContext;
import org.springframework.transaction.annotation.Transactional;
@Transactional
public class PersonDaoImpl {
public void test(){
Person p1 = new Person("Tom", "Smith");
p1.setId(1L);
p1.setHourlyRate(3.12222F);
Person p2 = new Person("Jack", "Kook");
p2.setId(2L);
p1.setHourlyRate(2222222223.12222F);
save(p1);
save(p2);
listAll();
}
private void listAll(){
List<Person> persons = getAll();
for (Person person : persons) {
System.out.println(person);
}
}
@PersistenceContext
private EntityManager em;
public Long save(Person person) {
em.persist(person);
return person.getId();
}
public List<Person>getAll() {
return em.createQuery("SELECT p FROM Person p", Person.class).getResultList();
}
}
以下代码来自App.java。它是主类应用程序。
package cn.w3cschool.common;
import org.springframework.context.support.ClassPathXmlApplicationContext;
public class App {
public static void main(String[] args) {
ClassPathXmlApplicationContext context = new ClassPathXmlApplicationContext(
"applicationContext.xml");
PersonDaoImpl dao = (PersonDaoImpl) context.getBean("personDao");
dao.test();
context.close();
Helper.checkData();
}
}
下载 Column_Precision_Scale.zip上面的代码生成以下结果。

以下是数据库转储。
Table Name: EMP
Row:
Column Name: ID,
Column Type: BIGINT:
Column Value: 1
Column Name: HOURLYRATE,
Column Type: DOUBLE:
Column Value: 2.222222336E9
Column Name: NAME,
Column Type: VARCHAR:
Column Value: Tom
Column Name: SURNAME,
Column Type: VARCHAR:
Column Value: Smith
Row:
Column Name: ID,
Column Type: BIGINT:
Column Value: 2
Column Name: HOURLYRATE,
Column Type: DOUBLE:
Column Value: 0.0
Column Name: NAME,
Column Type: VARCHAR:
Column Value: Jack
Column Name: SURNAME,
Column Type: VARCHAR:
Column Value: Kook