1.使用idea创建Stringboot项目
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2.添加阿里巴巴数据库连接池以及generator自动生成代码
<!-- alibaba的druid数据库连接池 -->
<dependency>
<groupId>com.alibaba</groupId>
<artifactId>druid-spring-boot-starter</artifactId>
<version>1.1.0</version>
</dependency>
<dependency>
<groupId>org.mybatis.generator</groupId>
<artifactId>mybatis-generator-maven-plugin</artifactId>
<version>1.3.6</version>
</dependency>
3.配置mybatis
server:
port: 8080
spring:
datasource:
url: jdbc:mysql://127.0.0.1:3306/test
username: root
password: root
type: com.alibaba.druid.pool.DruidDataSource
driver-class-name: com.mysql.jdbc.Driver
druid:
filters: stat
max-active: 20
initial-size: 1
max-wait: 60000
min-idle: 1
time-between-eviction-runs-millis: 60000
min-evictable-idle-time-millis: 300000
validation-query: select 'x'
test-while-idle: true
test-on-borrow: false
test-on-return: false
jpa:
database: mysql
mybatis:
mapper-locations: classpath*:mapping/*.xml
type-aliases-package: com.demo.model
4.配置generator自动生成代码,
新建generatorConfig.xml
<?xml version="1.0" encoding="UTF-8"?>
<!DOCTYPE generatorConfiguration
PUBLIC "-//mybatis.org//DTD MyBatis Generator Configuration 1.0//EN"
"http://mybatis.org/dtd/mybatis-generator-config_1_0.dtd">
<generatorConfiguration>
<!-- 数据库驱动:选择你的本地硬盘上面的数据库驱动包-->
<classPathEntry location="D:\Program Files\java\bin\mysql-connector-java-5.1.45.jar"/>
<context id="DB2Tables" targetRuntime="MyBatis3">
<commentGenerator>
<property name="suppressDate" value="true"/>
<!-- 是否去除自动生成的注释 true:是 : false:否 -->
<property name="suppressAllComments" value="true"/>
</commentGenerator>
<!--数据库链接URL,用户名、密码 -->
<jdbcConnection driverClass="com.mysql.jdbc.Driver" connectionURL="jdbc:mysql://127.0.0.1/test" userId="root" password="root">
</jdbcConnection>
<javaTypeResolver>
<property name="forceBigDecimals" value="false"/>
</javaTypeResolver>
<!-- 生成模型的包名和位置-->
<javaModelGenerator targetPackage="com.demo.model" targetProject="src/main/java">
<property name="enableSubPackages" value="true"/>
<property name="trimStrings" value="true"/>
</javaModelGenerator>
<!-- 生成映射文件的包名和位置-->
<sqlMapGenerator targetPackage="mapping" targetProject="src/main/resources">
<property name="enableSubPackages" value="true"/>
</sqlMapGenerator>
<!-- 生成DAO的包名和位置-->
<javaClientGenerator type="XMLMAPPER" targetPackage="com.demo.mapper" targetProject="src/main/java">
<property name="enableSubPackages" value="true"/>
</javaClientGenerator>
<!-- 要生成的表 tableName是数据库中的表名或视图名 domainObjectName是实体类名-->
<table tableName="user" domainObjectName="User" enableCountByExample="false" enableUpdateByExample="false" enableDeleteByExample="false" enableSelectByExample="false" selectByExampleQueryId="false"></table>
</context>
</generatorConfiguration>
至于上面所用到的驱动包 可以去这个地址下载,这是maven的中央仓库自己选择相应版本下载就行了
然后在pom.xml加上下面配置
<!-- mybatis generator 自动生成代码插件 -->
<plugin>
<groupId>org.mybatis.generator</groupId>
<artifactId>mybatis-generator-maven-plugin</artifactId>
<version>1.3.6</version>
<configuration>
<configurationFile>src/main/resources/generator/generatorConfig.xml</configurationFile>
<overwrite>true</overwrite>
<verbose>true</verbose>
</configuration>
</plugin>
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如下步骤自动生成代码
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mybatis-generator:generate -e
点击运行即可自动生成dao,bean,和xml文件
基本上这都挺简单的没啥可说的
5.整合Redis
redis下载以及启动的步骤这里就不细说了,之前以及说过了,这里主要说spingboot+redis的整合首先项目导入redis的jar包
<dependency>
<groupId>org.springframework.boot</groupId>
<artifactId>spring-boot-starter-cache</artifactId>
</dependency>
<!-- redis -->
<dependency>
<groupId>org.springframework.boot</groupId>
<artifactId>spring-boot-starter-data-redis</artifactId>
</dependency>
接下来配置application.yml文件
redis:
# Redis数据库索引(默认为0)
database: 1
# Redis服务器地址
host: 127.0.0.1
# Redis服务器连接端口
port: 6379
# Redis服务器连接密码(默认为空)
password: root
pool:
# 连接池最大连接数(使用负值表示没有限制)
max-active: 8
# 连接池最大阻塞等待时间(使用负值表示没有限制)
max-wait: 1
# 连接池中的最大空闲连接
max-idle: 8
# 连接池中的最小空闲连接
min-idle: 0
# 连接超时时间(毫秒)
timeout: 0
新建RedisConfig.java文件
import com.fasterxml.jackson.annotation.JsonAutoDetect;
import com.fasterxml.jackson.annotation.PropertyAccessor;
import com.fasterxml.jackson.databind.ObjectMapper;
import org.springframework.beans.factory.annotation.Value;
import org.springframework.cache.CacheManager;
import org.springframework.cache.annotation.CachingConfigurerSupport;
import org.springframework.cache.annotation.EnableCaching;
import org.springframework.cache.interceptor.KeyGenerator;
import org.springframework.context.annotation.Bean;
import org.springframework.context.annotation.Configuration;
import org.springframework.data.redis.cache.RedisCacheManager;
import org.springframework.data.redis.connection.RedisConnectionFactory;
import org.springframework.data.redis.core.RedisTemplate;
import org.springframework.data.redis.core.StringRedisTemplate;
import org.springframework.data.redis.serializer.Jackson2JsonRedisSerializer;
import java.lang.reflect.Method;
@Configuration
@EnableCaching
public class RedisConfig extends CachingConfigurerSupport {
/**
* 生成key的策略
* @return
*/
@Bean
public KeyGenerator keyGenerator() {
return new KeyGenerator() {
@Override
public Object generate(Object target, Method method, Object... params) {
StringBuilder sb = new StringBuilder();
sb.append(target.getClass().getName());
sb.append(method.getName());
for (Object obj : params) {
sb.append(obj.toString());
}
return sb.toString();
}
};
}
/**
* 管理缓存
*/
@Bean
public CacheManager cacheManager(RedisTemplate redisTemplate) {
RedisCacheManager rcm = new RedisCacheManager(redisTemplate);
return rcm;
}
/**
* RedisTemplate配置
*/
@Bean
public RedisTemplate<String, String> redisTemplate(RedisConnectionFactory factory) {
StringRedisTemplate template = new StringRedisTemplate(factory);
Jackson2JsonRedisSerializer jackson2JsonRedisSerializer = new Jackson2JsonRedisSerializer(Object.class);
ObjectMapper om = new ObjectMapper();
om.setVisibility(PropertyAccessor.ALL, JsonAutoDetect.Visibility.ANY);
om.enableDefaultTyping(ObjectMapper.DefaultTyping.NON_FINAL);
jackson2JsonRedisSerializer.setObjectMapper(om);
template.setValueSerializer(jackson2JsonRedisSerializer);
template.afterPropertiesSet();
return template;
}
}
新建RedisService.java文件
package com.demo.utils;
import org.springframework.beans.factory.annotation.Autowired;
import org.springframework.data.redis.core.*;
import org.springframework.stereotype.Service;
import java.io.Serializable;
import java.util.List;
import java.util.Set;
import java.util.concurrent.TimeUnit;
@Service
public class RedisService {
@Autowired
private RedisTemplate redisTemplate;
/**
* 写入缓存
* @param key
* @param value
* @return
*/
public boolean set(final String key, Object value) {
boolean result = false;
try {
ValueOperations<Serializable, Object> operations = redisTemplate.opsForValue();
operations.set(key, value);
result = true;
} catch (Exception e) {
e.printStackTrace();
}
return result;
}
/**
* 写入缓存设置时效时间
* @param key
* @param value
* @return
*/
public boolean set(final String key, Object value, Long expireTime) {
boolean result = false;
try {
ValueOperations<Serializable, Object> operations = redisTemplate.opsForValue();
operations.set(key, value);
redisTemplate.expire(key, expireTime, TimeUnit.SECONDS);
result = true;
} catch (Exception e) {
e.printStackTrace();
}
return result;
}
/**
* 批量删除对应的value
* @param keys
*/
public void remove(final String... keys) {
for (String key : keys) {
remove(key);
}
}
/**
* 批量删除key
* @param pattern
*/
public void removePattern(final String pattern) {
Set<Serializable> keys = redisTemplate.keys(pattern);
if (keys.size() > 0)
redisTemplate.delete(keys);
}
/**
* 删除对应的value
* @param key
*/
public void remove(final String key) {
if (exists(key)) {
redisTemplate.delete(key);
}
}
/**
* 判断缓存中是否有对应的value
* @param key
* @return
*/
public boolean exists(final String key) {
return redisTemplate.hasKey(key);
}
/**
* 读取缓存
* @param key
* @return
*/
public Object get(final String key) {
Object result = null;
ValueOperations<Serializable, Object> operations = redisTemplate.opsForValue();
result = operations.get(key);
return result;
}
/**
* 哈希 添加
* @param key
* @param hashKey
* @param value
*/
public void hmSet(String key, Object hashKey, Object value){
HashOperations<String, Object, Object> hash = redisTemplate.opsForHash();
hash.put(key,hashKey,value);
}
/**
* 哈希获取数据
* @param key
* @param hashKey
* @return
*/
public Object hmGet(String key, Object hashKey){
HashOperations<String, Object, Object> hash = redisTemplate.opsForHash();
return hash.get(key,hashKey);
}
/**
* 列表添加
* @param k
* @param v
*/
public void lPush(String k,Object v){
ListOperations<String, Object> list = redisTemplate.opsForList();
list.rightPush(k,v);
}
/**
* 列表获取
* @param k
* @param l
* @param l1
* @return
*/
public List<Object> lRange(String k, long l, long l1){
ListOperations<String, Object> list = redisTemplate.opsForList();
return list.range(k,l,l1);
}
/**
* 集合添加
* @param key
* @param value
*/
public void add(String key,Object value){
SetOperations<String, Object> set = redisTemplate.opsForSet();
set.add(key,value);
}
/**
* 集合获取
* @param key
* @return
*/
public Set<Object> setMembers(String key){
SetOperations<String, Object> set = redisTemplate.opsForSet();
return set.members(key);
}
/**
* 有序集合添加
* @param key
* @param value
* @param scoure
*/
public void zAdd(String key,Object value,double scoure){
ZSetOperations<String, Object> zset = redisTemplate.opsForZSet();
zset.add(key,value,scoure);
}
/**
* 有序集合获取
* @param key
* @param scoure
* @param scoure1
* @return
*/
public Set<Object> rangeByScore(String key,double scoure,double scoure1){
ZSetOperations<String, Object> zset = redisTemplate.opsForZSet();
return zset.rangeByScore(key, scoure, scoure1);
}
}
此时我们的启动文件是这样的
package com.demo;
import org.mybatis.spring.annotation.MapperScan;
import org.springframework.boot.SpringApplication;
import org.springframework.boot.autoconfigure.SpringBootApplication;
import org.springframework.boot.context.properties.ConfigurationProperties;
import org.springframework.cache.annotation.EnableCaching;
import org.springframework.transaction.annotation.EnableTransactionManagement;
@SpringBootApplication
@EnableTransactionManagement
@ConfigurationProperties(prefix="spring.datasource")
@MapperScan("com.demo.mapper")
@EnableCaching
public class DemoApplication {
public static void main(String[] args) {
SpringApplication.run(DemoApplication.class, args);
}
}
创建一个TestController.java测试一下
import com.demo.model.User;
import com.demo.service.UserService;
import com.demo.utils.RedisService;
import org.springframework.beans.factory.annotation.Autowired;
import org.springframework.web.bind.annotation.RequestMapping;
import org.springframework.web.bind.annotation.RequestMethod;
import org.springframework.web.bind.annotation.ResponseBody;
import org.springframework.web.bind.annotation.RestController;
import java.util.List;
@RestController
@RequestMapping("test")
public class TestController extends BaseController{
@RequestMapping(value = "/setKeyInRedis",method = RequestMethod.GET)
public void setKeyInRedis(String name){
redisService.set("ll",name);
System.out.println("缓存数据为:"+redisService.get("ll"));
System.out.println("wangli:"+redisService.get("wangli"));
}
}
此时查看我们的数据库能够看见我们刚插入的数据。
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基本上springboot+mybatis+redis以上这些,最后贴上完整的application.yml文件
server:
port: 8080
spring:
datasource:
url: jdbc:mysql://127.0.0.1:3306/test?zeroDateTimeBehavior=convertToNull&useUnicode=true&characterEncoding=utf-8
username: root
password: root
type: com.alibaba.druid.pool.DruidDataSource
driver-class-name: com.mysql.jdbc.Driver
druid:
filters: stat
max-active: 20
initial-size: 1
max-wait: 60000
min-idle: 1
time-between-eviction-runs-millis: 60000
min-evictable-idle-time-millis: 300000
validation-query: select 'x'
test-while-idle: true
test-on-borrow: false
test-on-return: false
jpa:
database: mysql
thymeleaf:
prefix: classpath:/templates
suffix: .html
mode: HTML5
encoding: UTF-8
content-type: text/html
cache: false
resources:
chain:
strategy:
content:
enabled: true
paths: /**
redis:
# Redis数据库索引(默认为0)
database: 1
# Redis服务器地址
host: 127.0.0.1
# Redis服务器连接端口
port: 6379
# Redis服务器连接密码(默认为空)
password: root
pool:
# 连接池最大连接数(使用负值表示没有限制)
max-active: 8
# 连接池最大阻塞等待时间(使用负值表示没有限制)
max-wait: 1
# 连接池中的最大空闲连接
max-idle: 8
# 连接池中的最小空闲连接
min-idle: 0
# 连接超时时间(毫秒)
timeout: 0
mybatis:
mapper-locations: classpath*:mapping/*.xml
type-aliases-package: com.demo.model
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