springboot整合druid

druid是阿里巴巴数据库事业部出品，为监控而生的数据库连接池。https://druid.apache.org
git：https://github.com/alibaba/druid

一、引入依赖

创建基础的springboot项目，引入依赖：

        <!-- druid -->
        <dependency>
            <groupId>com.alibaba</groupId>
            <artifactId>druid-spring-boot-starter</artifactId>
            <version>1.1.21</version>
        </dependency>

        <dependency>
            <groupId>org.springframework.boot</groupId>
            <artifactId>spring-boot-starter-jdbc</artifactId>
            <exclusions>
                <!--排除 tomcat-jdbc -->
                <exclusion>
                    <groupId>org.apache.tomcat</groupId>
                    <artifactId>tomcat-jdbc</artifactId>
                </exclusion>
            </exclusions>
        </dependency>

        <!--mysql-->
        <dependency>
            <groupId>mysql</groupId>
            <artifactId>mysql-connector-java</artifactId>
            <scope>runtime</scope>
            <version>8.0.18</version>
        </dependency>

        <!--springboot中排除spring-boot-starter-logging日志 使用log4j2-->
        <dependency>
            <groupId>org.springframework.boot</groupId>
            <artifactId>spring-boot-starter</artifactId>
            <exclusions>
                <exclusion>
                    <groupId>org.springframework.boot</groupId>
                    <artifactId>spring-boot-starter-logging</artifactId>
                </exclusion>
            </exclusions>
        </dependency>
        
        <!--日志-->
        <dependency>
            <groupId>org.springframework.boot</groupId>
            <artifactId>spring-boot-starter-log4j2</artifactId>
        </dependency>

二、application.yml配置文件：

spring:
  datasource:
    name: druidDataSource
    type: com.alibaba.druid.pool.DruidDataSource
    druid:
      driver-class-name: com.mysql.cj.jdbc.Driver
      url: jdbc:mysql://127.0.0.1:3306/elegant?useUnicode=true&characterEncoding=utf-8&serverTimezone=UTC
      username: root
      password: 123456
      validation-query: select 1
      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
      test-while-idle: true
      test-on-borrow: false
      test-on-return: false
      pool-prepared-statements: true
      max-open-prepared-statements: 50
      max-pool-prepared-statement-per-connection-size: 20
      stat-view-servlet:
        #开发所有ip可访问监控页面
        allow: 0.0.0.0
        login-username: 123
        login-password: 123
        url-pattern: /druid/*
        enabled: true

三、启动访问

启动，登陆http://localhost:8080/druid/index.html

image.png

四、配置日志

在resources下创建log4j2.xml配置文件
内容如下：

<?xml version="1.0" encoding="UTF-8"?>
<configuration status="OFF">
    <appenders>

        <Console name="Console" target="SYSTEM_OUT">
            <!--只接受程序中DEBUG级别的日志进行处理-->
            <ThresholdFilter level="DEBUG" onMatch="ACCEPT" onMismatch="DENY"/>
            <PatternLayout pattern="[%d{HH:mm:ss.SSS}] %-5level %class{36} %L %M - %msg%xEx%n"/>
        </Console>

        <!--处理DEBUG级别的日志，并把该日志放到logs/debug.log文件中-->
        <!--打印出DEBUG级别日志，每次大小超过size，则这size大小的日志会自动存入按年份-月份建立的文件夹下面并进行压缩，作为存档-->
        <RollingFile name="RollingFileDebug" fileName="./logs/debug.log"
                     filePattern="logs/$${date:yyyy-MM}/debug-%d{yyyy-MM-dd}-%i.log.gz">
            <Filters>
                <ThresholdFilter level="DEBUG"/>
                <ThresholdFilter level="INFO" onMatch="DENY" onMismatch="NEUTRAL"/>
            </Filters>
            <PatternLayout
                    pattern="[%d{yyyy-MM-dd HH:mm:ss}] %-5level %class{36} %L %M - %msg%xEx%n"/>
            <Policies>
                <SizeBasedTriggeringPolicy size="500 MB"/>
                <TimeBasedTriggeringPolicy/>
            </Policies>
        </RollingFile>

        <!--处理INFO级别的日志，并把该日志放到logs/info.log文件中-->
        <RollingFile name="RollingFileInfo" fileName="./logs/info.log"
                     filePattern="logs/$${date:yyyy-MM}/info-%d{yyyy-MM-dd}-%i.log.gz">
            <Filters>
                <!--只接受INFO级别的日志，其余的全部拒绝处理-->
                <ThresholdFilter level="INFO"/>
                <ThresholdFilter level="WARN" onMatch="DENY" onMismatch="NEUTRAL"/>
            </Filters>
            <PatternLayout
                    pattern="[%d{yyyy-MM-dd HH:mm:ss}] %-5level %class{36} %L %M - %msg%xEx%n"/>
            <Policies>
                <SizeBasedTriggeringPolicy size="500 MB"/>
                <TimeBasedTriggeringPolicy/>
            </Policies>
        </RollingFile>

        <!--处理WARN级别的日志，并把该日志放到logs/warn.log文件中-->
        <RollingFile name="RollingFileWarn" fileName="./logs/warn.log"
                     filePattern="logs/$${date:yyyy-MM}/warn-%d{yyyy-MM-dd}-%i.log.gz">
            <Filters>
                <ThresholdFilter level="WARN"/>
                <ThresholdFilter level="ERROR" onMatch="DENY" onMismatch="NEUTRAL"/>
            </Filters>
            <PatternLayout
                    pattern="[%d{yyyy-MM-dd HH:mm:ss}] %-5level %class{36} %L %M - %msg%xEx%n"/>
            <Policies>
                <SizeBasedTriggeringPolicy size="500 MB"/>
                <TimeBasedTriggeringPolicy/>
            </Policies>
        </RollingFile>

        <!--处理error级别的日志，并把该日志放到logs/error.log文件中-->
        <RollingFile name="RollingFileError" fileName="./logs/error.log"
                     filePattern="logs/$${date:yyyy-MM}/error-%d{yyyy-MM-dd}-%i.log.gz">
            <ThresholdFilter level="ERROR"/>
            <PatternLayout
                    pattern="[%d{yyyy-MM-dd HH:mm:ss}] %-5level %class{36} %L %M - %msg%xEx%n"/>
            <Policies>
                <SizeBasedTriggeringPolicy size="500 MB"/>
                <TimeBasedTriggeringPolicy/>
            </Policies>
        </RollingFile>

        <!--druid的日志记录追加器-->
        <RollingFile name="druidSqlRollingFile" fileName="./logs/druid-sql.log"
                     filePattern="logs/$${date:yyyy-MM}/api-%d{yyyy-MM-dd}-%i.log.gz">
            <PatternLayout pattern="[%d{yyyy-MM-dd HH:mm:ss}] %-5level %L %M - %msg%xEx%n"/>
            <Policies>
                <SizeBasedTriggeringPolicy size="500 MB"/>
                <TimeBasedTriggeringPolicy/>
            </Policies>
        </RollingFile>
    </appenders>

    <loggers>
        <root level="DEBUG">
            <appender-ref ref="Console"/>
            <appender-ref ref="RollingFileInfo"/>
            <appender-ref ref="RollingFileWarn"/>
            <appender-ref ref="RollingFileError"/>
            <appender-ref ref="RollingFileDebug"/>
        </root>

        <!--记录druid-sql的记录-->
        <logger name="druid.sql.Statement" level="debug" additivity="false">
            <appender-ref ref="druidSqlRollingFile"/>
        </logger>
        <logger name="druid.sql.Statement" level="debug" additivity="false">
            <appender-ref ref="druidSqlRollingFile"/>
        </logger>

        <!--log4j2 自带过滤日志-->
        <Logger name="org.apache.catalina.startup.DigesterFactory" level="error" />
        <Logger name="org.apache.catalina.util.LifecycleBase" level="error" />
        <Logger name="org.apache.coyote.http11.Http11NioProtocol" level="warn" />
        <logger name="org.apache.sshd.common.util.SecurityUtils" level="warn"/>
        <Logger name="org.apache.tomcat.util.net.NioSelectorPool" level="warn" />
        <Logger name="org.crsh.plugin" level="warn" />
        <logger name="org.crsh.ssh" level="warn"/>
        <Logger name="org.eclipse.jetty.util.component.AbstractLifeCycle" level="error" />
        <Logger name="org.hibernate.validator.internal.util.Version" level="warn" />
        <logger name="org.springframework.boot.actuate.autoconfigure.CrshAutoConfiguration" level="warn"/>
        <logger name="org.springframework.boot.actuate.endpoint.jmx" level="warn"/>
        <logger name="org.thymeleaf" level="warn"/>
    </loggers>
</configuration>

配置application.properties如下：

# 配置日志输出
logging.config=classpath:log4j2.xml
spring.datasource.druid.filter.slf4j.enabled=true
spring.datasource.druid.filter.slf4j.statement-create-after-log-enabled=false
spring.datasource.druid.filter.slf4j.statement-close-after-log-enabled=false
spring.datasource.druid.filter.slf4j.result-set-open-after-log-enabled=false
spring.datasource.druid.filter.slf4j.result-set-close-after-log-enabled=false

启动日志如下：

image.png