Hibernate-4

查询总结

1、oid查询-get

2、对象属性导航查询

3、HQL

4、Criteria

5、原生SQL

 

查询-HQL语法

基础语法

String hql = "from cn.itcast.domain.Customer ";//完整写法
String hql2 = "from Customer";//简单写法
String hql3 = "from java.lang.Object";

Query query = session.createQuery(hql3);
List list = query.list();

排序

String hql1 = "from cn.itcast.domain.Customer order by cust_id asc";//完整写法

String hql2 = "from cn.itcast.domain.Customer order by cust_id desc";//完整写法

Query query = session.createQuery(hql2);
List list = query.list();

条件

String hql1 = "from cn.itcast.domain.Customer where cust_id = ?";//完整写法

String hql2 = "from cn.itcast.domain.Customer where cust_id = :id";//完整写法

query.setParameter(0,2l);
query.setParameter("id",2l);
List list = query.list();

分页

String hql1 = "from cn.itcast.domain.Customer";//完整写法

Query query = session.createQuery(hql1);
//limit?,?
//(当前页数-1)*每页条数

query.setFirstResult(2);
query.setMaxResult(2);

List list = query.list();

聚合

String hql1 = "select count(*) from cn.itcast.domani.Customer";//完整写法
String hql2 = "select sum(cust_id) from cn.itcast.domani.Customer";//完整写法
String hql3 = "select averge(cust_id) from cn.itcast.domani.Customer";//完整写法
String hql4 = "select max(cust_id) from cn.itcast.domani.Customer";//完整写法
String hql5 = "select min(cust_id) from cn.itcast.domani.Customer";//完整写法

Query query = session.createQuery(hql5);
Number number = (Number)query.uniqueResult();

投影

String hql1 = "select cust_name from cn.itcast.domain.Customer ";
String hql2 = "select cust_name,cust_id from cn.itcast.domain.Customer ";
String hql3 = "select new Customer(cust_id,cust_name) from cn.itcast.domain.Customer ";

Query query = session.createQuery(hql3);
List list = query.list();

 

多表查询

//回顾-原生sql
//交叉连接-笛卡尔积(避免)
//select * from A,B
    //内连接
//    |-隐式内连接
//    select * from A,B where b.aid = a.id;
//    |-显式内连接
//    select * from A inner join B on b.aid = a.id;
//    外连接
//    |-左外
//    select * from A left [outer] join B on b.aid = a.id;
//    |-右外
//    select * from A right [outer] join B on b.aid = a.id;

HQL 

//HQL的多表查询
    //内连接(迫切)
    //外连接
//        |-左外(迫切)
//        |-右外(迫切)

HQL语法

内连接

String hql = "from Customer c inner join c.linkMens";
Query query = session.createQuery(hql);
List<Object[]> list = query.list();
for(Object[] arr:list){
    System.out.println(arrays.toString(arr));
}

String hql = "from Customer c inner join fetch c.linkMens";
Query query = session.createQuery(hql);
List<Customer> list = query.list();
System.out.println(list);

左外连接

String hql = "from Customer c left join c.linkMens";
Query query = session.createQuery(hql);

List<Object[]> list = query.list();
for(Object[] arr:list){
    System.out.println(Arrays.toString(arr));
}

右外连接

String hql = "from Customer c right join c.linkMens";
Query query = session.createQuery(hql);
List<Object[] arr : list>{
    System.out.println(Arrays.toString(arr));
}

 

查询-Criteria语法

语法

基本
Criteria c = session.createCriteria(Customer.class);
List<Customer> list = c.list();
System.out.println(list);

条件
Criteria c = session.createCriteria(Customer.class);
//c.add(Restrictions.idEq(2l));
c.add(Restrictions.eq("cust_id",2l));
List<Customer> list = c.list();
System.out.println(list);

分页
Criteria c = session.createCriteria(Customer.class);
//limit ?,?
c.setFirstErsult(0);
c.setMaxResult(2);
List<Customer> list = c.list();

排序
Criteria c = session.createCriteria(Customer.class);
c.addOrder(Order.asc("cust_id"));
//c.addOrder(Order.desc("cust_id"));

List<Customer> list = c.list();

//统计
Criteria c = session.createCriteria(Customer.class);
//设置查询目标
c.setProjection(Projections.rowCount());

List list = c.list();

离线查询

非离线

web——————>service————————>Dao
   查询条件        查询条件
                   
                      传统criteria
                      session.createCriteria();
                      创建是依赖于session
                      组装查询条件到Criteria
                      执行查询

离线

web————————————————>service——————————>Dao
      离线criteria          离线criteria
凭空创建Criteria                  根据离线对象查询
组装查询条件

演示

@test
public void fun1(){
  //service/web层
  DetachedCriteria dc = 
  DetachedCriteria.forClass(Customer.class);

  dc.add(Restrictions.idEq(6l));//拼装条件(全部与普通Criteria一致)
  //--------------------------------
  Session session = HibernateUtils.openSession();
  Transaction tx = session.beginTransaction();
  //--------------------------------
  Criteria c = dc.getExecutableCriteria(session);

  List list = c.list();
  System.out.println(list);
  //--------------------------------
  tx.commit();
  session.close();

}

 

查询优化

类级别查询

get方法:没有任何策略,调用即立即查询数据库加载数据

load方法:应用类级别的加载策略

<class name="Customer" table="cst_customer" lazy="false">
lazy(默认值):true,查询类时,会返回代理对象。会在使用属性时,根据关联的session查询数据库,加载数据
lazy:false。load方法会与get方法没有任何区别,调用时即加载数据。
结论:为了提高效率,建议使用延迟加载(懒加载)
注意:使用懒加载时要确保,调用属性加载数据时,session还是打开的,不然会抛出异常

关联级别查询

集合策略
lazy属性:决定是否延迟加载
  true(默认值):延迟加载,懒加载
  false:立即加载
  extra:极其懒惰
fetch属性:决定加载策略,使用什么类型的sql语句加载集合数据
  select(默认值):单表查询加载
  join:使用多表查询加载集合
  subselect:使用子查询加载结合

关联属性策略
<!--
  fetch 决定加载的sql语句
    select:使用单表查询
    join:多表查询
  lazy 决定加载时机
    false:立即加载
    proxy:由Customer的类级别加载策略决定

-->

结论:为了提高效率,fetch的选择上应选择select,lazy的取值应选择true。全部使用默认值。

no-session问题解决:扩大session的作用范围

批量抓取

<!--
    batch-size:抓取集合的数量是3
    抓取客户的集合时,一次抓取几个客户的联系人集合。
-->

 

 

posted @ 2019-03-21 09:39  strawqqhat  阅读(88)  评论(0编辑  收藏  举报
#home h1{ font-size:45px; } body{ background-image: url("放你的背景图链接"); background-position: initial; background-size: cover; background-repeat: no-repeat; background-attachment: fixed; background-origin: initial; background-clip: initial; height:100%; width:100%; } #home{ opacity:0.7; } .wall{ position: fixed; top: 0; left: 0; bottom: 0; right: 0; } div#midground{ background: url("https://i.postimg.cc/PP5GtGtM/midground.png"); z-index: -1; -webkit-animation: cc 200s linear infinite; -moz-animation: cc 200s linear infinite; -o-animation: cc 200s linear infinite; animation: cc 200s linear infinite; } div#foreground{ background: url("https://i.postimg.cc/z3jZZD1B/foreground.png"); z-index: -2; -webkit-animation: cc 253s linear infinite; -o-animation: cc 253s linear infinite; -moz-animation: cc 253s linear infinite; animation: cc 253s linear infinite; } div#top{ background: url("https://i.postimg.cc/PP5GtGtM/midground.png"); z-index: -4; -webkit-animation: da 200s linear infinite; -o-animation: da 200s linear infinite; animation: da 200s linear infinite; } @-webkit-keyframes cc { from{ background-position: 0 0; transform: translateY(10px); } to{ background-position: 600% 0; } } @-o-keyframes cc { from{ background-position: 0 0; transform: translateY(10px); } to{ background-position: 600% 0; } } @-moz-keyframes cc { from{ background-position: 0 0; transform: translateY(10px); } to{ background-position: 600% 0; } } @keyframes cc { 0%{ background-position: 0 0; } 100%{ background-position: 600% 0; } } @keyframes da { 0%{ background-position: 0 0; } 100%{ background-position: 0 600%; } } @-webkit-keyframes da { 0%{ background-position: 0 0; } 100%{ background-position: 0 600%; } } @-moz-keyframes da { 0%{ background-position: 0 0; } 100%{ background-position: 0 600%; } } @-ms-keyframes da { 0%{ background-position: 0 0; } 100%{ background-position: 0 600%; } }