1.日志
用于记录系统操作记录,保存历史数据,诊断问题
1.1.SLF4j与Logback
日志门面:统一的对外接口
pom中插入依赖
<dependency>
<groupId>ch.qos.logback</groupId>
<artifactId>logback-classic</artifactId>
<version>1.2.3</version>
</dependency>
resources下面添加logback.xml日志配置文件
<?xml version="1.0" encoding="UTF-8"?>
<configuration>
<appender name="console" class="ch.qos.logback.core.ConsoleAppender">
<encoder>
<!-- %thread对应的线程 %-5表示按5个字符左对齐
%logger表示哪个类产生的日志 %msg日志具体输出,%n换行-->
<pattern>[%thread] %d{HH:mm:ss.SSS} %-5level %logger{36} - %msg%n</pattern>
</encoder>
</appender>
<!--
日志输出级别(高-低)
error:错误 - 系统的故障日志
warn:警告 - 存在风险或者使用不当的日志
info: 一般性信息
debug: 程序内部用于调试的信息
trace:程序运行的跟踪信息
-->
<root level="debug">
<appender-ref ref="console"/>
</root>
</configuration>
2.动态SQL
根据参数数据动态组织SQL
goods.xml:
<!-- 动态SQL-->
<select id="dynamicSQL" parameterType="java.util.Map" resultType="org.example.entity.Goods">
select * from t_goods
<where>
<if test="categoryId != null">
and category_id = #{categoryId}
</if>
<if test="currentPrice != null">
and current_price < #{currentPrice}
</if>
</where>
</select>
调用:
@Test
public void testDynamicSQL() throws Exception {
SqlSession session = null;
session = MyBatisUtils.openSession();
Map param = new HashMap();
param.put("category", 44);
param.put("currentPrice", 500);
//可以不加namespace,确保id是唯一即可
List<Goods> list = session.selectList("goods.dynamicSQL",param);
for (int i = 0; i < list.size(); i++) {
Goods goods = list.get(i);
System.out.println(goods.getTitle());
}
MyBatisUtils.closeSession(session);
}
3.缓存
主要是MyBatis二级缓存
- 一级缓存默认开启,缓存范围SqlSession会话
- 二级缓存手动开启,缓存范围是Mapper Namespace
3.1.二级缓存运行规则
- 二级开启后默认所有查询操作均使用缓存
- 写操作commit提交时对该namespace缓存强制清空
- 配置useCache=false可以不使用缓存
- 配置flushCache=true代表强制清空缓存
一级缓存的测试代码:
@Test
public void testLv1Cache() {
SqlSession session = null;
session = MyBatisUtils.openSession();
Goods goods = session.selectOne("goods.selectById",1603);
Goods goods1 = session.selectOne("goods.selectById",1603);
System.out.println("goods hashCode:" + goods.hashCode() + "-goods1 hashCode:" + goods1.hashCode());
MyBatisUtils.closeSession(session);
SqlSession session1 = null;
session1 = MyBatisUtils.openSession();
Goods goods2 = session1.selectOne("goods.selectById",1603);
Goods goods3 = session1.selectOne("goods.selectById",1603);
System.out.println("goods2 hashCode:" + goods2.hashCode() + "-goods3 hashCode:" + goods3.hashCode());
MyBatisUtils.closeSession(session1);
}
运行结果:
goods hashCode:574268151-goods1 hashCode:574268151
goods2 hashCode:423583818-goods3 hashCode:423583818
可以看到同一个session的hashCode相同,说明是同一个对象,并且debug日志也只会执行一次sql查询,如果在goods和goods1之间插入session.commit()方法,则goods和goods1则会是两个不同的对象。
二级缓存测试代码:
goods.xml中添加
<!-- 开启二级缓存-->
<cache eviction="LRU" flushInterval="600000" readOnly="true"/>
测试代码与一级缓存一样不变
运行结果:
goods hashCode:270095066-goods1 hashCode:270095066
goods2 hashCode:270095066-goods3 hashCode:270095066
说明开启了二级缓存后,不同session也会公用一个缓存数据。
3.2.二级缓存参数说明
二级缓存相关:
<mapper namespace="goods">
<!--
开启二级缓存
eviction是缓存的清除策略,当缓存对象数量达到上限后,自动出发对应算法对缓存对象清除
1.LRU-最近最久未使用:移除最长时间不被使用的对象
O1 O2 ... O512
14 99 893
则会移除O512的对象,因为它举例上次使用时间最长
2.LFU-最近最少使用:移除最近访问频率最低的对象
3.FIFO-先进先出:按对象进入缓存的顺序来移除
4.SOFT-软引用:移除基于垃圾收集器状态和软引用规则的对象
5.WEAK-弱引用:更积极的移除基于垃圾收集器状态和弱引用规则的对象
3,4,5很少使用。
flushInterval 代表间隔多长时间自动清空缓存,单位毫秒,600000毫秒=10分钟
size 缓存的存储上限,用于保存对象或集合(1个集合算1个对象)的数量上限
readOnly 设置为true,代表返回只读缓存,每次从缓存取出的是缓存对象本身,执行效率高
设置为false,代表每次取出的是缓存对象的副本,每次取出对象是不同的,安全性高。
-->
<cache eviction="LRU" flushInterval="600000" readOnly="true"/>
...
单条相关:
<!-- useCache="false"代表不使用缓存-->
<select id="selectAll" resultType="org.example.entity.Goods" useCache="false">
select * from t_goods order by goods_id desc limit 10
</select>
----------
<!-- flushCache="true"在sql执行后强制清空缓存,同时本条sql执行结果也不会缓存-->
<insert id="insert"
parameterType="org.example.entity.Goods"
useGeneratedKeys="true"
keyProperty="goodsId"
keyColumn="goods_id"
flushCache="true"
>
INSERT INTO t_goods(title, sub_title, original_cost, current_price, discount, is_free_delivery, category_id)
VALUES (#{title}, #{subTitle}, #{originalCost}, #{currentPrice}, #{discount}, #{isFreeDelivery}, #{categoryId})
</insert>
4.多表级联查询
4.1.一对多查询
商品与商品图片详情就是1对多的关系
开发步骤:
4.1.1.resources下创建goods_detail.xml
<?xml version="1.0" encoding="UTF-8"?>
<!DOCTYPE mapper
PUBLIC "-//mybatis.org//DTD Mapper 3.0//EN"
"http://mybatis.org/dtd/mybatis-3-mapper.dtd">
<mapper namespace="goodsDetail">
<select id="selectByGoodsId" parameterType="Integer" resultType="org.example.entity.GoodsDetail">
select * from t_goods_detail where goods_id = #{value}
</select>
</mapper>
4.1.2.goods.xml中配置一对多
<!--
resultMap可用于说明一对多或者多对一的映射逻辑
id是resultMap属性引用的标志
type指向One的实体(Goods)
-->
<resultMap id="rmGoods1" type="org.example.entity.Goods">
<!--
映射goods对象的主键到goods_id字段
由于其他字段都能与数据库对应上,所以不用再次列举
-->
<id column="goods_id" property="goodsId"></id>
<collection property="goodsDetails" select="goodsDetail.selectByGoodsId"
column="goods_id"/>
</resultMap>
<!-- 一对多查询-->
<select id="selectOneToMany" resultMap="rmGoods1">
select * from t_goods limit 0,1
</select>
4.1.3.mybatis-config.xml中加入应用
加入对goods_detail.xml的引用
<mapper resource="mappers/goods_detail.xml"/>
4.1.4.调用测试
@Test
public void testOneToMany(){
SqlSession session = null;
session = MyBatisUtils.openSession();
List<Goods> list = session.selectList("goods.selectOneToMany");
for (int i = 0; i < list.size(); i++) {
Goods goods = list.get(i);
System.out.println(goods.getTitle() + " : " +goods.getGoodsDetails().size());
}
MyBatisUtils.closeSession(session);
}
4.2.多对一查询
商品图片详情与商品是多对一
开发步骤:
4.2.1.mapper.xml配置
goods_detail.xml中添加多对一查询语句和resultMap:
<!-- 多表对应查询实体的resultMap-->
<resultMap id="rmGoodsDetail" type="org.example.entity.GoodsDetail">
<!-- 多表的主键-->
<id column="gd_id" property="gdId"></id>
<!-- 多表的外键,一表的主键-->
<result column="goods_id" property="goodsId"/>
<!-- 对表对应的selectById查询语句-->
<association property="goods" select="goods.selectById" column="goods_id"></association>
</resultMap>
<!-- 多表的查询语句-->
<select id="selectManyToOne" resultMap="rmGoodsDetail">
select * from t_goods_detail limit 0,10
</select>
4.2.2.调用
@Test
public void testManyToOne(){
SqlSession session = null;
session = MyBatisUtils.openSession();
List<GoodsDetail> list = session.selectList("goodsDetail.selectManyToOne");
for (int i = 0; i < list.size(); i++) {
GoodsDetail goodsDetail = list.get(i);
if (goodsDetail.getGoods() == null)
continue;
System.out.println(goodsDetail.getGdPicUrl() + " : " + goodsDetail.getGoods().getTitle());
}
MyBatisUtils.closeSession(session);
}
5.分页PageHelper
原理:
- 当前数据查询使用语句
select * from tab limit 0,10
- 总记录数查询
select count(*) from tab
- 程序计算总页数、当前页、上一页下一页码
5.1.PageHelper使用流程
-
maven引入PageHelper与jsqlparser
<dependency> <groupId>com.github.pagehelper</groupId> <artifactId>pagehelper</artifactId> <version>5.1.10</version> </dependency> <dependency> <groupId>com.github.jsqlparser</groupId> <artifactId>jsqlparser</artifactId> <version>2.0</version> </dependency>
-
mybatis-config.xml增加Plugin配置
<!-- 启用PageHelper分页插件--> <plugins> <plugin interceptor="com.github.pagehelper.PageInterceptor"> <!-- 设置数据库类型--> <property name="helperDialect" value="mysql"/> <!-- 分页合理化,页数小于查询第一页,大于总页数则显示最后一页--> <property name="reasonable" value="true"/> </plugin> </plugins>
mapper.xml中添加查询sql
<!-- 查询价格小于1000的数据-->
<select id="selectPage" resultType="org.example.entity.Goods">
select * from t_goods where current_price < 1000
</select>
- 代码中使用PageHelper.startPage()自动分页
@Test
public void testPageHelper(){
SqlSession session = null;
session = MyBatisUtils.openSession();
PageHelper.startPage(2, 10);
Page<Goods> page = (Page)session.selectList("goods.selectPage");
System.out.println("总页数:" + page.getPages());
System.out.println("总记录数:" + page.getTotal());
System.out.println("开始行号:" + page.getStartRow());
System.out.println("当前页码:" + page.getEndRow());
List<Goods> data = page.getResult();//当前页数据
for (int i = 0; i < data.size(); i++) {
Goods goods = data.get(i);
System.out.println(goods.getTitle());
}
MyBatisUtils.closeSession(session);
}
--结果
总页数:181
总记录数:1810
开始行号:10
当前页码:20
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6.C3P0连接池
配置流程:
-
maven引入c3p0的引用
<dependency> <groupId>com.mchange</groupId> <artifactId>c3p0</artifactId> <version>0.9.5.4</version> </dependency>
-
创建C3P0DataSourceFactory
//C3P0与MyBatis兼容使用的数据源工厂类 public class C3P0DataSourceFactory extends UnpooledDataSourceFactory { public C3P0DataSourceFactory(){ this.dataSource = new ComboPooledDataSource(); } }
mybatis.xml中引入datasource配置
<!-- C3P0连接池-->
<dataSource type="org.example.datasource.C3P0DataSourceFactory">
<property name="driverClass" value="com.mysql.jdbc.Driver"/>
<property name="jdbcUrl" value="jdbc:mysql://localhost:3306/babytun?useUnicode=true&characterEncoding=UTF-8"/>
<property name="user" value="root"/>
<property name="password" value="111111"/>
<property name="initialPoolSize" value="5"/>
<property name="maxPoolSize" value="20"/>
<property name="minPoolSize" value="5"/>
</dataSource>
剩下的不便
7.MyBatis批处理
在mapper.xml中使用foreach标签
<!-- insert into table-->
<!-- values("a","a1","a2"),("a","a1","a2"),(....)-->
<insert id="batchInsert" parameterType="java.util.List">
INSERT INTO t_goods(title, sub_title, original_cost, current_price, discount, is_free_delivery, category_id)
VALUES
<foreach collection="list" item="item" index="index" separator=",">
(#{item.title}, #{item.subTitle}, #{item.originalCost}, #{item.currentPrice}, #{item.discount}, #{item.isFreeDelivery}, #{item.categoryId})
</foreach>
</insert>
调用:
@Test
//分别插入
public void testBatchInsert1(){
SqlSession session = null;
session = MyBatisUtils.openSession();
long st = new Date().getTime();
for (int i = 0; i < 1000; i++) {
Goods goods = new Goods();
goods.setTitle("测试批量插入商品");
goods.setSubTitle("子标题");
goods.setOriginalCost(200f);
goods.setCurrentPrice(100f);
goods.setDiscount(0.5f);
goods.setIsFreeDelivery(1);
goods.setCategoryId(43);
session.insert("goods.insert", goods);
}
session.commit();
long et = new Date().getTime();
System.out.println("执行时间:" + (et - st) + "毫秒");
MyBatisUtils.closeSession(session);
}
@Test
//批量插入
public void testBatchInsert2(){
SqlSession session = null;
session = MyBatisUtils.openSession();
long st = new Date().getTime();
List list = new ArrayList();
for (int i = 0; i < 1000; i++) {
Goods goods = new Goods();
goods.setTitle("测试批量插入商品");
goods.setSubTitle("子标题");
goods.setOriginalCost(200f);
goods.setCurrentPrice(100f);
goods.setDiscount(0.5f);
goods.setIsFreeDelivery(1);
goods.setCategoryId(43);
list.add(goods);
}
session.insert("goods.batchInsert",list);
session.commit();
long et = new Date().getTime();
System.out.println("执行时间:" + (et - st) + "毫秒");
MyBatisUtils.closeSession(session);
}
分别插入的时间:
执行时间:976毫秒
批处理插入的时间:
执行时间:679毫秒
由此可见批处理的效率很高
批量删除:
<!-- 批量删除 (1, 2)-->
<delete id="batchDelete" parameterType="java.util.List">
DELETE FROM t_goods WHERE goods_id in
<foreach collection="list" item="item" index="index" open="(" close=")" separator=",">
#{item}
</foreach>
</delete>
--调用
@Test
//批量删除
public void testBatchDelete(){
SqlSession session = null;
session = MyBatisUtils.openSession();
long st = new Date().getTime();
List list = new ArrayList();
for (int i = 4670; i <= 4677; i++) {
list.add(i);
}
session.insert("goods.batchDelete",list);
session.commit();
long et = new Date().getTime();
System.out.println("执行时间:" + (et - st) + "毫秒");
MyBatisUtils.closeSession(session);
}
8.注解
mapper可以通过注解方式配置
新建GoodsDAO:
public interface GoodsDAO {
@Select("select * from t_goods where current_price between #{min} and #{max} order by current_price limit 0,#{limit}")
public List<Goods> selectByPriceRange(@Param("min") Float min, @Param("max") Float max, @Param("limit") Integer limit);
@Insert("INSERT INTO t_goods(title, sub_title, original_cost, current_price, discount, is_free_delivery, category_id) VALUES (#{title}, #{subTitle}, #{originalCost}, #{currentPrice}, #{discount}, #{isFreeDelivery}, #{categoryId})")
@SelectKey(statement = "select last_insert_id()", before = false, keyProperty = "goodsId", resultType = Integer.class)
int insert(Goods goods);
@Select("select * from t_goods")
//配置返回值map
@Results({
@Result(column = "goods_id", property = "goodsId", id = true),
@Result(column = "current_price", property = "currentPrice")
})
List<GoodsDTO> selectAll();
}
mybatis-config.xml中配置dao
<mappers>
<!-- 对应的sql mapper映射类或者包-->
<!-- <mapper class="org.example.dao.GoodsDAO"/>-->
<package name="org.example.dao"/>
</mappers>
调用:
@Test
public void testSelect(){
SqlSession session = null;
session = MyBatisUtils.openSession();
GoodsDAO goodsDAO = session.getMapper(GoodsDAO.class);
List<Goods> list = goodsDAO.selectByPriceRange(100f, 500f, 20);
System.out.println(list.size());
MyBatisUtils.closeSession(session);
}
@Test
public void testInsert(){
SqlSession session = null;
session = MyBatisUtils.openSession();
GoodsDAO goodsDAO = session.getMapper(GoodsDAO.class);
Goods goods = new Goods();
goods.setTitle("测试商品");
goods.setSubTitle("测试子标题");
goods.setOriginalCost(200f);
goods.setCurrentPrice(100f);
goods.setDiscount(0.5f);
goods.setIsFreeDelivery(1);
goods.setCategoryId(43);
goodsDAO.insert(goods);
session.commit();
MyBatisUtils.closeSession(session);
}
@Test
public void testSelectAll(){
SqlSession session = null;
session = MyBatisUtils.openSession();
GoodsDAO goodsDAO = session.getMapper(GoodsDAO.class);
List<GoodsDTO> goodsDTOS = goodsDAO.selectAll();
System.out.println(goodsDTOS.size());
MyBatisUtils.closeSession(session);
}