https://github.com/alibaba/druid/tree/master/druid-spring-boot-starter
添加配置，不要最新的，进过测试SQL监控失效
<dependency>
<groupId>com.alibaba</groupId>
<artifactId>druid-spring-boot-starter</artifactId>
<version>1.1.10</version>
</dependency>
mybatis:
mapper-locations: classpath:mappers/**/*.xml
type-aliases-package: com.hyx.springboot04.entity
logging:
level:
com.hyx.springboot04: debug
server:
port: 8080
servlet:
context-path: /springboot04
spring:
application:
name: springboot04
datasource:
driver-class-name: com.mysql.cj.jdbc.Driver
name: defaultDataSource
password: 123456
url: jdbc:mysql://localhost:3306/ssmbuild?useUnicode=true&characterEncoding=UTF-8
username: root
type: com.alibaba.druid.pool.DruidDataSource
druid:
#2.连接池配置
#初始化连接池的连接数量 大小，最小，最大
initial-size: 5
min-idle: 5
max-active: 20
#配置获取连接等待超时的时间
max-wait: 60000
#配置间隔多久才进行一次检测，检测需要关闭的空闲连接，单位是毫秒
time-between-eviction-runs-millis: 60000
# 配置一个连接在池中最小生存的时间，单位是毫秒
min-evictable-idle-time-millis: 30000
validation-query: SELECT 1 FROM DUAL
test-while-idle: true
test-on-borrow: true
test-on-return: false
# 是否缓存preparedStatement，也就是PSCache 官方建议MySQL下建议关闭 个人建议如果想用SQL防火墙 建议打开
pool-prepared-statements: true
max-pool-prepared-statement-per-connection-size: 20
# 配置监控统计拦截的filters，去掉后监控界面sql无法统计，'wall'用于防火墙
filter:
stat:
merge-sql: true
slow-sql-millis: 5000
#3.基础监控配置
web-stat-filter:
enabled: true
url-pattern: /*
#设置不统计哪些URL
exclusions: "*.js,*.gif,*.jpg,*.png,*.css,*.ico,/druid/*"
session-stat-enable: true
session-stat-max-count: 100
stat-view-servlet:
enabled: true
url-pattern: /druid/*
reset-enable: true
#设置监控页面的登录名和密码
login-username: admin
login-password: admin
allow: 127.0.0.1
#deny: 192.168.1.100
freemarker:
cache: false
charset: utf-8
expose-request-attributes: true
expose-session-attributes: true
suffix: .ftl
template-loader-path: classpath:/templates/
resources:
static-locations: classpath:/static/**
pagehelper:
reasonable: true
supportMethodsArguments: true
page-size-zero: true
helper-dialect: mysql
输入密码，来到我们的监控平台
SQL监控
也能点进来看到执行SQL的时间和语句
<dependency>
<groupId>org.springframework.boot</groupId>
<artifactId>spring-boot-starter-data-redis</artifactId>
</dependency>
mybatis:
mapper-locations: classpath:mappers/**/*.xml
type-aliases-package: com.hyx.springboot04.entity
logging:
level:
com.hyx.springboot04: debug
server:
port: 8080
servlet:
context-path: /springboot04
spring:
application:
name: springboot04
datasource:
driver-class-name: com.mysql.cj.jdbc.Driver
name: defaultDataSource
password: 123456
url: jdbc:mysql://localhost:3306/ssmbuild?useUnicode=true&characterEncoding=UTF-8
username: root
type: com.alibaba.druid.pool.DruidDataSource
druid:
#2.连接池配置
#初始化连接池的连接数量 大小，最小，最大
initial-size: 5
min-idle: 5
max-active: 20
#配置获取连接等待超时的时间
max-wait: 60000
#配置间隔多久才进行一次检测，检测需要关闭的空闲连接，单位是毫秒
time-between-eviction-runs-millis: 60000
# 配置一个连接在池中最小生存的时间，单位是毫秒
min-evictable-idle-time-millis: 30000
validation-query: SELECT 1 FROM DUAL
test-while-idle: true
test-on-borrow: true
test-on-return: false
# 是否缓存preparedStatement，也就是PSCache 官方建议MySQL下建议关闭 个人建议如果想用SQL防火墙 建议打开
pool-prepared-statements: true
max-pool-prepared-statement-per-connection-size: 20
# 配置监控统计拦截的filters，去掉后监控界面sql无法统计，'wall'用于防火墙
filter:
stat:
merge-sql: true
slow-sql-millis: 5000
#3.基础监控配置
web-stat-filter:
enabled: true
url-pattern: /*
#设置不统计哪些URL
exclusions: "*.js,*.gif,*.jpg,*.png,*.css,*.ico,/druid/*"
session-stat-enable: true
session-stat-max-count: 100
stat-view-servlet:
enabled: true
url-pattern: /druid/*
reset-enable: true
#设置监控页面的登录名和密码
login-username: admin
login-password: admin
allow: 127.0.0.1
#deny: 192.168.1.100
freemarker:
cache: false
charset: utf-8
expose-request-attributes: true
expose-session-attributes: true
suffix: .ftl
template-loader-path: classpath:/templates/
redis:
host: localhost
password: 123456
port: 6379
database: 8
resources:
static-locations: classpath:/static/**
pagehelper:
reasonable: true
supportMethodsArguments: true
page-size-zero: true
helper-dialect: mysql
redis修改密码（我这里没有设置密码，去掉application.yml中的redis password配置）
修改
redis直接存汉字会乱码，需要序列化
@Override
public List<Clazz> listPager(Clazz clazz, PageBean pageBean) {
//先从缓存拿数据
List<Clazz> clazzes =(List<Clazz>)redisTemplate.opsForValue().get("clzs");
//如果缓存中数据为空
if(clazzes==null){
//直接查数据库
clazzes = clazzMapper.listPager(clazz);
//返回之前将数据库中的数据写入缓存
redisTemplate.opsForValue().set("clzs",clazzes);
}
return clazzes;
}
可见，通过redis的缓存可以减少查询数据库，降低数据库的压力
非关系型数据库
redis:基于内存的
ehcache 基于文件的
mongodb 基于文档的
package com.hyx.springboot04.config;
import org.springframework.context.annotation.Bean;
import org.springframework.context.annotation.Configuration;
import org.springframework.data.redis.cache.RedisCacheConfiguration;
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.serializer.GenericJackson2JsonRedisSerializer;
import org.springframework.data.redis.serializer.RedisSerializationContext;
import org.springframework.data.redis.serializer.StringRedisSerializer;
import java.time.Duration;
import java.util.HashMap;
import java.util.HashSet;
import java.util.Map;
import java.util.Set;
@EnableCaching
@Configuration
public class RedisConfig {
private final int defaultExpireTime = 600;
private final int userCacheExpireTime = 60;
private final String userCacheName = "test";
@Bean
public RedisTemplate<String,Object> getRedisTemplate(RedisConnectionFactory connectionFactory){
RedisTemplate<String,Object> redisTemplate = new RedisTemplate<>();
redisTemplate.setKeySerializer(new StringRedisSerializer());
redisTemplate.setHashKeySerializer(new StringRedisSerializer());
redisTemplate.setValueSerializer(new GenericJackson2JsonRedisSerializer());
redisTemplate.setHashValueSerializer(new GenericJackson2JsonRedisSerializer());
// redisTemplate.afterPropertiesSet();
redisTemplate.setConnectionFactory(connectionFactory);
return redisTemplate;
}
@Bean
public RedisCacheManager redis(RedisConnectionFactory connectionFactory){
RedisCacheConfiguration defaultCacheConfig = RedisCacheConfiguration.defaultCacheConfig();
// 设置缓存管理器管理的缓存的默认过期时间
defaultCacheConfig = defaultCacheConfig.entryTtl(Duration.ofSeconds(defaultExpireTime))
// 设置 key为string序列化
.serializeKeysWith(RedisSerializationContext.SerializationPair.fromSerializer(new StringRedisSerializer()))
// 设置value为json序列化
.serializeValuesWith(RedisSerializationContext.SerializationPair.fromSerializer(new GenericJackson2JsonRedisSerializer()))
// 不缓存空值
.disableCachingNullValues();
Set<String> cacheNames = new HashSet<>();
cacheNames.add(userCacheName);
// 对每个缓存空间应用不同的配置
Map<String, RedisCacheConfiguration> configMap = new HashMap<>();
configMap.put(userCacheName, defaultCacheConfig.entryTtl(Duration.ofSeconds(userCacheExpireTime)));
RedisCacheManager cacheManager = RedisCacheManager.builder(connectionFactory)
.cacheDefaults(defaultCacheConfig)
.initialCacheNames(cacheNames)
.withInitialCacheConfigurations(configMap)
.build();
return cacheManager;
}
}
@ResponseBody
@RequestMapping("/load")
public Clazz load(int cid){
return clazzBiz.selectByPrimaryKey(cid);
}
