druid是阿里巴巴开源平台上一个数据库连接池实现,它结合了c3p0、dbcp、proxool等db池的优点,同时加入了日志监控,可以很好的监控db池连接和sql的执行情况,可以说是针对监控而生的db连接池(据说是目前最好的连接池)
一、依赖
为了测试,使用jdbctemplate
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
|
<!-- jdbctemplate --> <dependency> <groupid>org.springframework.boot</groupid> <artifactid>spring-boot-starter-jdbc</artifactid> </dependency> <!-- druid数据库连接池 --> <dependency> <groupid>com.alibaba</groupid> <artifactid>druid</artifactid> <version> 1.0 . 26 </version> </dependency> <!-- mysql connector --> <dependency> <groupid>mysql</groupid> <artifactid>mysql-connector-java</artifactid> <scope>runtime</scope> </dependency> |
二、druid配置
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
|
druid.properties #数据库设置 spring.datasource.driverclassname=com.mysql.jdbc.driver spring.datasource.url=jdbc:mysql: //localhost:3306/uu_core?useunicode=true&characterencoding=utf8&autoreconnect=true&usessl=true spring.datasource.username=root spring.datasource.password=root #-------------------------- # 下面为连接池的补充设置,应用到上面所有数据源中 # 初始化大小,最小,最大 spring.datasource.initialsize= 5 spring.datasource.minidle= 1 spring.datasource.maxactive= 50 # 配置获取连接等待超时的时间 spring.datasource.maxwait= 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 spring.datasource.timebetweenevictionrunsmillis= 60000 # 配置一个连接在池中最小生存的时间,单位是毫秒 spring.datasource.minevictableidletimemillis= 300000 spring.datasource.validationquery=select 1 from dual spring.datasource.testwhileidle= true spring.datasource.testonborrow= false spring.datasource.testonreturn= false # 打开pscache,并且指定每个连接上pscache的大小 spring.datasource.poolpreparedstatements= false #spring.datasource.maxpoolpreparedstatementperconnectionsize= 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 spring.datasource.filters=stat,wall,log4j # 通过connectproperties属性来打开mergesql功能;慢sql记录 spring.datasource.connectionproperties=druid.stat.mergesql= true ;druid.stat.slowsqlmillis= 5000 # 合并多个druiddatasource的监控数据 #spring.datasource.useglobaldatasourcestat= true |
三、实例化druid datasource
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
|
package cn.aduu.config; import com.alibaba.druid.pool.druiddatasource; import com.alibaba.druid.support.http.statviewservlet; import com.alibaba.druid.support.http.webstatfilter; import org.springframework.boot.context.properties.configurationproperties; import org.springframework.boot.web.servlet.filterregistrationbean; import org.springframework.boot.web.servlet.servletregistrationbean; import org.springframework.context.annotation.bean; import org.springframework.context.annotation.configuration; import org.springframework.context.annotation.propertysource; import javax.sql.datasource; /** * @author zh * @classname cn.aduu.config.druidconfiguration * @description */ @configuration @propertysource (value = "classpath:druid.properties" ) public class druidconfiguration { @bean (destroymethod = "close" , initmethod = "init" ) @configurationproperties (prefix = "spring.datasource" ) public datasource druiddatasource() { druiddatasource druiddatasource = new druiddatasource(); return druiddatasource; } /** * 注册一个statviewservlet * @return */ @bean public servletregistrationbean druidstatviewservlet(){ //org.springframework.boot.context.embedded.servletregistrationbean提供类的进行注册. servletregistrationbean servletregistrationbean = new servletregistrationbean( new statviewservlet(), "/druid/*" ); //添加初始化参数:initparams //白名单: servletregistrationbean.addinitparameter( "allow" , "127.0.0.1" ); //ip黑名单 (存在共同时,deny优先于allow) : 如果满足deny的话提示:sorry, you are not permitted to view this page. servletregistrationbean.addinitparameter( "deny" , "192.168.1.73" ); //登录查看信息的账号密码. servletregistrationbean.addinitparameter( "loginusername" , "admin" ); servletregistrationbean.addinitparameter( "loginpassword" , "123456" ); //是否能够重置数据. servletregistrationbean.addinitparameter( "resetenable" , "false" ); return servletregistrationbean; } /** * 注册一个:filterregistrationbean * @return */ @bean public filterregistrationbean druidstatfilter(){ filterregistrationbean filterregistrationbean = new filterregistrationbean( new webstatfilter()); //添加过滤规则. filterregistrationbean.addurlpatterns( "/*" ); //添加不需要忽略的格式信息. filterregistrationbean.addinitparameter( "exclusions" , "*.js,*.gif,*.jpg,*.png,*.css,*.ico,/druid/*" ); return filterregistrationbean; } } |
四、监控
访问 http://localhost:8080/druid, 使用上面配置的账号密码。
五、测试
1
2
3
4
5
6
7
8
9
10
11
|
@restcontroller public class hellocontroller{ private static final logger logger = loggerfactory.getlogger(hellocontroller. class ); @autowired private jdbctemplate jdbctemplate; @requestmapping ( "hello" ) public list<map<string, object>> hello() { list<map<string, object>> list = jdbctemplate.queryforlist( "select user,password from mysql.user " , new object[]{}); return list; } } |
访问 localhost:8080/hello
1
2
3
4
5
6
7
8
9
10
|
[ { "user" : "root" , "password" : "*81f5e21e35407d884a6cd4a731aebfb6af209e1b" }, { "user" : "root" , "password" : "*81f5e21e35407d884a6cd4a731aebfb6af209e1b" } ] |
总结
以上所述是小编给大家介绍的springboot使用druid数据源,希望对大家有所帮助,如果大家有任何疑问请给我留言,小编会及时回复大家的。在此也非常感谢大家对服务器之家网站的支持!
原文链接:https://blog.csdn.net/qq_36640744/article/details/80096475