SpringBoot integrates Redis and Mybatis, and encapsulates the RedisUtils tool class
Create a SpringBoot project (omitted)
Redis part
Introduce redis dependency
<dependency>
<groupId>org.springframework.boot</groupId>
<artifactId>spring-boot-starter-data-redis</artifactId>
</dependency>
Redis configuration class
package com.malf.config;
import org.springframework.context.annotation.Bean;
import org.springframework.context.annotation.Configuration;
import org.springframework.data.redis.connection.RedisConnectionFactory;
import org.springframework.data.redis.core.RedisTemplate;
import org.springframework.data.redis.serializer.RedisSerializer;
import org.springframework.data.redis.serializer.StringRedisSerializer;
/**
* @author malf
* @description Redis 配置类,设置Redis的Template
* @date 2021/5/23
* @project springboot_mybatis
*/
@Configuration
public class RedisConfig {
// redisTemplate注入到Spring容器
@Bean
public RedisTemplate<String, String> redisTemplate(RedisConnectionFactory factory) {
RedisTemplate<String, String> redisTemplate = new RedisTemplate<>();
RedisSerializer<String> redisSerializer = new StringRedisSerializer();
redisTemplate.setConnectionFactory(factory);
//key序列化
redisTemplate.setKeySerializer(redisSerializer);
//value序列化
redisTemplate.setValueSerializer(redisSerializer);
//value hashmap序列化
redisTemplate.setHashKeySerializer(redisSerializer);
//key hashmap序列化
redisTemplate.setHashValueSerializer(redisSerializer);
return redisTemplate;
}
}
Configure Redis connection information
spring:
redis:
# 连接的那个数据库
database: 0
# redis服务的ip地址
host: localhost
# redis端口号
port: 6379
# redis的密码,没设置过密码,可为空
password:
Redis tools
package com.malf.util;
import org.springframework.data.redis.core.*;
import org.springframework.stereotype.Service;
import javax.annotation.Resource;
import java.io.Serializable;
import java.util.List;
import java.util.Set;
import java.util.concurrent.TimeUnit;
/**
* @author malf
* @description Redis 工具类
* @date 2021/5/23
* @project springboot_mybatis
*/
@Service
public class RedisUtils {
@Resource
private RedisTemplate redisTemplate;
private static double size = Math.pow(2, 32);
/**
* 写入缓存
*
* @param key
* @param offset 位 8Bit=1Byte
* @return
*/
public boolean setBit(String key, long offset, boolean isShow) {
boolean result = false;
try {
ValueOperations<Serializable, Object> operations = redisTemplate.opsForValue();
operations.setBit(key, offset, isShow);
result = true;
} catch (Exception e) {
e.printStackTrace();
}
return result;
}
/**
* 写入缓存
*
* @param key
* @param offset
* @return
*/
public boolean getBit(String key, long offset) {
boolean result = false;
try {
ValueOperations<Serializable, Object> operations = redisTemplate.opsForValue();
result = operations.getBit(key, offset);
} catch (Exception e) {
e.printStackTrace();
}
return result;
}
/**
* 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);
}
}
/**
* 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();
redisTemplate.opsForValue();
return zset.rangeByScore(key, scoure, scoure1);
}
//第一次加载的时候将数据加载到redis中
public void saveDataToRedis(String name) {
double index = Math.abs(name.hashCode() % size);
long indexLong = new Double(index).longValue();
boolean availableUsers = setBit("availableUsers", indexLong, true);
}
//第一次加载的时候将数据加载到redis中
public boolean getDataToRedis(String name) {
double index = Math.abs(name.hashCode() % size);
long indexLong = new Double(index).longValue();
return getBit("availableUsers", indexLong);
}
/**
* 有序集合获取排名
*
* @param key 集合名称
* @param value 值
*/
public Long zRank(String key, Object value) {
ZSetOperations<String, Object> zset = redisTemplate.opsForZSet();
return zset.rank(key, value);
}
/**
* 有序集合获取排名
*
* @param key
*/
public Set<ZSetOperations.TypedTuple<Object>> zRankWithScore(String key, long start, long end) {
ZSetOperations<String, Object> zset = redisTemplate.opsForZSet();
Set<ZSetOperations.TypedTuple<Object>> ret = zset.rangeWithScores(key, start, end);
return ret;
}
/**
* 有序集合添加
*
* @param key
* @param value
*/
public Double zSetScore(String key, Object value) {
ZSetOperations<String, Object> zset = redisTemplate.opsForZSet();
return zset.score(key, value);
}
/**
* 有序集合添加分数
*
* @param key
* @param value
* @param scoure
*/
public void incrementScore(String key, Object value, double scoure) {
ZSetOperations<String, Object> zset = redisTemplate.opsForZSet();
zset.incrementScore(key, value, scoure);
}
/**
* 有序集合获取排名
*
* @param key
*/
public Set<ZSetOperations.TypedTuple<Object>> reverseZRankWithScore(String key, long start, long end) {
ZSetOperations<String, Object> zset = redisTemplate.opsForZSet();
Set<ZSetOperations.TypedTuple<Object>> ret = zset.reverseRangeByScoreWithScores(key, start, end);
return ret;
}
/**
* 有序集合获取排名
*
* @param key
*/
public Set<ZSetOperations.TypedTuple<Object>> reverseZRankWithRank(String key, long start, long end) {
ZSetOperations<String, Object> zset = redisTemplate.opsForZSet();
Set<ZSetOperations.TypedTuple<Object>> ret = zset.reverseRangeWithScores(key, start, end);
return ret;
}
}
Control layer
package com.malf.controller;
import com.malf.util.RedisUtils;
import org.springframework.web.bind.annotation.RequestMapping;
import org.springframework.web.bind.annotation.RestController;
import javax.annotation.Resource;
/**
* @author malf
* @description
* @date 2021/5/23
* @project springboot_mybatis
*/
@RestController
public class RedisController {
@Resource
private RedisUtils redisUtils;
@RequestMapping("setAndGet")
public String test(String k, String v) {
redisUtils.set(k, v);
return (String) redisUtils.get(k);
}
}
Start the project, test Redis
Mybatis section
Add Mybatis related dependencies
<!--mybatis依赖-->
<dependency>
<groupId>org.mybatis.spring.boot</groupId>
<artifactId>mybatis-spring-boot-starter</artifactId>
<version>2.1.4</version>
</dependency>
<!--mysql驱动-->
<dependency>
<groupId>mysql</groupId>
<artifactId>mysql-connector-java</artifactId>
<scope>runtime</scope>
</dependency>
<!--druid-->
<dependency>
<groupId>com.alibaba</groupId>
<artifactId>druid</artifactId>
<version>1.1.23</version>
</dependency>
Configure Mybatis and others
server:
port: 8000
mybatis:
# 配置扫描
mapper-locations: classpath:mapping/*Mapper.xml
# 实体类所在的包别名
type-aliases-package: com.malf.entity
configuration:
# 开启控制台打印sql
log-impl: org.apache.ibatis.logging.stdout.StdOutImpl
# mybatis 下划线转驼峰配置
map-underscore-to-camel-case: true
#showSql
logging:
level:
com:
example:
mapper: debug
spring:
redis:
# 连接的那个数据库
database: 0
# redis服务的ip地址
host: localhost
# redis端口号
port: 6379
# redis的密码,没设置过密码,可为空
password:
# 数据库相关配置
datasource:
url: jdbc:mysql://localhost:3306/springboot_mybatis?useUnicode=true&characterEncoding=utf-8&useSSL=true&serverTimezone=UTC
username: root
password: 123456
driver-class-name: com.mysql.cj.jdbc.Driver
# 使用阿里巴巴druid数据源,默认使用自带
type: com.alibaba.druid.pool.DruidDataSource
Startup class to increase scan path
@MapperScan("com.malf.dao") // scanned mapper
Entity, dao, service, controller code see source code reference
test
Redis as Mybatis cache
Add fastjson dependency
<!--fastjson依赖-->
<dependency>
<groupId>com.alibaba</groupId>
<artifactId>fastjson</artifactId>
<version>1.2.73</version>
</dependency>
Test interface
@RequestMapping("test")
public Object test() {
// step1 先从redis中取
String strJson = (String) redisUtils.get("nbaPlayerCache");
if (strJson == null) {
System.out.println("从db取值");
// step2如果拿不到则从DB取值
List<NBAPlayer> listNbaPlayer = nbaPlayerService.list();
// step3 DB非空情况刷新redis值
if (listNbaPlayer != null) {
redisUtils.set("nbaPlayerCache", JSON.toJSONString(listNbaPlayer));
return listNbaPlayer;
}
return null;
} else {
System.out.println("从redis缓存取值");
return JSONObject.parseArray(strJson, NBAPlayer.class);
}
}
Print table effect
Pressure measurement tool
So far, SpringBoot, Redis and Mybatis have been integrated, but it is impossible to know the specific QPS. At this time, we can use the pressure measurement tool to measure the pressure, refer to:https://www.cnblogs.com/chenyanbin/p/13332068.html
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