1、HQL查询定义
Hibernate查询分类:
1. get/load 根据OID检索
2. 对象视图检索 c.getOrders
3. Sql语句 createSqlQuery
4. Hql语句 createQuery
5. Criteria查询 createCriteria
HQL 详解
QBC 详解
2、Hql查询所有
@Test
public void test01() {
Session session = HibernateUtil.openSession();
Transaction tran = session.beginTransaction(); List<Customer> list = session.createQuery("from Customer").list(); System.out.println(list); tran.commit();
session.close();
}
3、 Hql选择查询所有
@Test
public void test02() {
Session session = HibernateUtil.openSession();
Transaction tran = session.beginTransaction(); Query query = session
.createQuery("select c.id, c.name from Customer c"); List<Object[]> list = query.list();
for (Object[] obj : list) {
System.out.println(Arrays.toString(obj));
} System.out.println(list); tran.commit();
session.close();
}
4、投影查询
// 投影查询
// 选择查询的基础上,想把查询结果封装到对象中
@Test
public void test03() {
Session session = HibernateUtil.openSession();
Transaction tran = session.beginTransaction(); Query query = session
.createQuery("select new Customer(c.id,c.name) from Customer c"); List<Customer> list = query.list(); System.out.println(list); tran.commit();
session.close();
}
5、排序查询
// 排序
@Test
public void test04() {
Session session = HibernateUtil.openSession();
Transaction tran = session.beginTransaction(); Query query = session.createQuery("from Customer c order by c.id desc");
List<Customer> list = query.list(); System.out.println(list); tran.commit();
session.close();
}
6、分页查询
@Test
public void test05() {
Session session = HibernateUtil.openSession();
Transaction tran = session.beginTransaction(); Query query = session.createQuery("from Customer c order by c.id desc"); // limit ?,? setFirstResult,setMaxResults
// setFirstResult: (当前页数-1)*每页最大记录数 // 从哪个索引开始取数据.包裹索引本身的记录
query.setFirstResult(0);
// 查询出多少条数据
query.setMaxResults(3); List<Customer> list = query.list(); System.out.println(list);
tran.commit();
session.close();
}
7、聚合函数查询
// 聚合函数
@Test
public void test07c() {
Session session = HibernateUtil.openSession();
Transaction tran = session.beginTransaction(); // ------------------------------------------------
// Query query =
// session.createQuery(" select count(*) from Customer c ");
// Query query =
// session.createQuery(" select avg(c.id) from Customer c ");
// Query query =
// session.createQuery(" select sum(c.id) from Customer c ");
// Query query =
// session.createQuery(" select max(c.id) from Customer c ");
Query query = session.createQuery("select count(*) from Customer c");
Object count = query.uniqueResult(); System.out.println(count);
tran.commit();
session.close();
}
8、绑定查询
// 绑定参数
@Test
public void test06() {
Session session = HibernateUtil.openSession();
Transaction tran = session.beginTransaction(); // 参数1:?占位符的索引 ,第一个问好索引为0
Query query = session.createQuery("from Customer c where c.id= ?"); // 参数1:?占位符的索引 ,第一个问好索引为0
query.setInteger(0, 6);
Customer cust = (Customer) query.uniqueResult();
System.out.println(cust);
tran.commit();
session.close();
}
9、分组查询
// 分组
// group by .. having..
@Test
public void test08() {
Session session = HibernateUtil.openSession();
Transaction tran = session.beginTransaction(); Query query =session.createQuery(" select o.customer, count(o) " +
" from Order o " +
" group by o.customer " +
" having count(o) > 2 ");
List<Object[]> list = query.list(); for (Object[] objs : list) {
System.out.println(Arrays.toString(objs));
} tran.commit();
session.close();
}
10、 连接查询
1.交叉连接 ,等效 sql 笛卡尔积(不常用)
2.隐式内连接,等效 sql 隐式内连接
3.内连接,等效sql内连接
4.迫切内连接,hibernate底层使用 内连接。
5.左外连接,等效sql左外连接
6.迫切左外连接,hibernate底层使用 左外连接
7.右外连接,等效sql右外连接
package com.alice.hibernate02.hql; import java.util.Arrays;
import java.util.List; import org.hibernate.Query;
import org.hibernate.Session;
import org.hibernate.Transaction;
import org.junit.Test; import com.alice.hibernate02.util.HibernateUtil; //HQL详解2-表连接
public class Demo02 {
//交叉连接 => 笛卡尔积
//开发时要避免出现笛卡尔积
@Test
public void test01(){
Session session = HibernateUtil.openSession();
Transaction tran = session.beginTransaction(); Query query = session.createQuery("from Customer c,Order o"); List<Object[]> list = query.list();
for(Object[] obj:list){
System.out.println(Arrays.toString(obj));
} tran.commit();
session.close();
}
//内连接
//隐式内连接 => 在笛卡尔积基础上过滤无效数据
@Test
public void test02(){
Session session = HibernateUtil.openSession();
Transaction tran = session.beginTransaction(); Query query = session.createQuery("from Customer c,Order o where o.customer = c"); List<Object[]> list = query.list();
for(Object[] obj:list){
System.out.println(Arrays.toString(obj));
} tran.commit();
session.close();
} //内连接
//显式内连接( 非迫切)=> inner join
// List<Object[]>
// Object[] => [Customer,Order]
// 将父 与 子 对象装入数组中分别 返回
@Test
public void test03(){
Session session = HibernateUtil.openSession();
Transaction tran = session.beginTransaction(); Query query = session.createQuery("from Customer c inner join c.orders"); List<Object[]> list = query.list();
for(Object[] obj:list){
System.out.println(Arrays.toString(obj));
} tran.commit();
session.close();
}
//内连接
//显式内连接(迫切)=> inner join
// List<Customer>
// 迫切连接会将 子装入父中,组装成一个对象
@Test
public void test04(){
Session session = HibernateUtil.openSession();
Transaction tran = session.beginTransaction(); Query query = session.createQuery("from Customer c inner join fetch c.orders"); List<Object> list = query.list();
for(Object obj:list){
System.out.println(obj);
} tran.commit();
session.close();
} //左外连接
//left [outer] join
//右外连接
//right [outer] join
@Test
public void test05(){
Session session = HibernateUtil.openSession();
Transaction tran = session.beginTransaction(); Query query = session.createQuery("from Customer c left outer join c.orders"); List<Object[]> list = query.list();
for(Object[] obj:list){
System.out.println(Arrays.toString(obj));
} tran.commit();
session.close();
} //左外连接 迫切
//left [outer] join fetch
@Test
public void test06(){
Session session = HibernateUtil.openSession();
Transaction tran = session.beginTransaction(); Query query = session.createQuery("from Customer c left outer join fetch c.orders"); List<Object> list = query.list();
for(Object obj:list){
System.out.println(obj);
} tran.commit();
session.close();
}
}