spring中logback日志详细配置

1. pom中添加依赖

<dependency>

<groupId>org.slf4j</groupId>

<artifactId>slf4j-api</artifactId>

<version>1.7.25</version>

</dependency>

<dependency>

<groupId>ch.qos.logback</groupId>

<artifactId>logback-core</artifactId>

<version>1.2.1</version>

</dependency>

<dependency>

<groupId>ch.qos.logback</groupId>

<artifactId>logback-classic</artifactId>

<version>1.2.1</version>

</dependency>

<dependency>

<groupId>ch.qos.logback</groupId>

<artifactId>logback-access</artifactId>

<version>1.2.1</version>

</dependency>

<dependency>

<groupId>org.logback-extensions</groupId>

<artifactId>logback-ext-spring</artifactId>

<version>0.1.4</version>

</dependency>

2. web.xml添加LogbackConfigListener

<context-param>

  <param-name>webAppRootKey</param-name>

  <param-value>demo.root</param-value>

  </context-param>

  <context-param>

  <param-name>logbackConfigLocation</param-name>

  <param-value>classpath:config/logback.xml</param-value>

  </context-param>

  <!-- This listener should be registered before ContextLoaderListener in web.xml, 

  when using custom Logback initialization. -->

  <listener>

  <listener-class>ch.qos.logback.ext.spring.web.LogbackConfigListener</listener-class>

  </listener>

3. 配置文件logback.xml

<?xml version="1.0" encoding="UTF-8"?>

<!-- debug：默认为false，设置为true时，将打印出logback内部日志信息，实时查看logback运行状态。

scan：配置文件如果发生改变，将会重新加载，默认值为true。

scanPeriod：检测配置文件是否有修改的时间间隔，如果没有给出时间单位，默认单位时毫秒，

当scan为true时，这个属性生效，默认时间间隔为1min。

 -->

<configuration debug="true" scan="false" scanPeriod="1 hour">

<!-- 日志上下文名称 -->

<contextName>logback</contextName>

<!-- 设置参数，通过${paramName}获取参数值 -->

<property name="log.path" value="E:/logs/demo"></property>

<appender name="stdOut" class="ch.qos.logback.core.ConsoleAppender">

<encoder>

<pattern>

%date{yyyy-MM-dd HH:mm:ss.SSS} [%thread] %-5level %logger{50} - %msg%n

</pattern>

</encoder>

<!-- 日志输出拦截器，控制台只打印INFO级别的日志 -->

<filter class="ch.qos.logback.classic.filter.LevelFilter">

<level>INFO</level>

<onMatch>ACCEPT</onMatch>

<onMismatch>DENY</onMismatch>

</filter>

</appender>

<!-- 文件日志Appender。可以配置日志文件的名称、日志的输出格式、滚动策略等。

滚动策略：配置日志文件名称，最多可以保持多少个历史日志文件。

当文件大小超过配置大小时，触发滚动策略。

如：日志文件大小超过20M（默认10M），触发滚动策略。 -->

    <appender name="daoFileAppender" class="ch.qos.logback.core.rolling.RollingFileAppender">

<append>true</append>

<file>${log.path}/dao.log</file>

        <encoder>

<pattern>

%date{yyyy-MM-dd HH:mm:ss.SSS} [%thread] %-5level %logger{50} - %msg%n

</pattern>

</encoder>

<rollingPolicy class="ch.qos.logback.core.rolling.SizeAndTimeBasedRollingPolicy">

<fileNamePattern>${log.path}/dao.%d{yyyyMMddHH}.%i.log.zip</fileNamePattern>

            <maxHistory>30</maxHistory>

<maxFileSize>20MB</maxFileSize>

         </rollingPolicy>

</appender>

<appender name="jobFileAppender" class="ch.qos.logback.core.rolling.RollingFileAppender">

<append>true</append>

<file>${log.path}/job.log</file>

        <encoder>

<pattern>

%date{yyyy-MM-dd HH:mm:ss.SSS} [%thread] %-5level %logger{50} - %msg%n

</pattern>

</encoder>

<rollingPolicy class="ch.qos.logback.core.rolling.SizeAndTimeBasedRollingPolicy">

<fileNamePattern>${log.path}/job.%d{yyyyMMddHH}.%i.log.zip</fileNamePattern>

            <maxHistory>30</maxHistory>

<maxFileSize>20MB</maxFileSize>

        </rollingPolicy>

</appender>

<appender name="fileAppender" class="ch.qos.logback.core.rolling.RollingFileAppender">

<append>true</append>

<file>${log.path}/demo.log</file>

        <encoder>

<pattern>

%date{yyyy-MM-dd HH:mm:ss.SSS} [%thread] %-5level %logger{50} - %msg%n

</pattern>

</encoder>

<rollingPolicy class="ch.qos.logback.core.rolling.SizeAndTimeBasedRollingPolicy">

<fileNamePattern>${log.path}/demo.%d{yyyyMMddHH}.%i.log.zip</fileNamePattern>

            <maxHistory>30</maxHistory>

<maxFileSize>20MB</maxFileSize>

        </rollingPolicy>

</appender>

<!--日志异步到数据库 -->

<appender name="dbAppender" class="ch.qos.logback.classic.db.DBAppender">

        <connectionSource class="ch.qos.logback.core.db.DriverManagerConnectionSource">

<driverClass>com.mysql.jdbc.Driver</driverClass>

<url>

jdbc:mysql://localhost:3306/demo?useUnicode=true&characterEncoding=utf-8

</url>

<user>root</user>

<password>root</password>

</connectionSource>

</appender>

<!-- 不同包下的日志放在不同的文件中 -->

<logger name="com.wxyh.demo.dao" level="INFO" additivity="false">

<appender-ref ref="daoFileAppender"/>

</logger>

<logger name="com.wxyh.demo.web.job" level="INFO" additivity="false">

<appender-ref ref="jobFileAppender"/>

<appender-ref ref="dbAppender"/>

</logger>

<!-- 日志输出级别 -->

<root level="INFO">

<appender-ref ref="stdOut"/>

<appender-ref ref="fileAppender"/>

</root>

</configuration>

4. 建DBAppender需要的表

BEGIN;

DROP TABLE IF EXISTS logging_event_property;

DROP TABLE IF EXISTS logging_event_exception;

DROP TABLE IF EXISTS logging_event;

COMMIT; 

BEGIN; 

CREATE TABLE logging_event

  (event_id         BIGINT NOT NULL AUTO_INCREMENT PRIMARY KEY,

    caller_filename   VARCHAR(254) NOT NULL,

    caller_class      VARCHAR(254) NOT NULL,

    caller_method     VARCHAR(254) NOT NULL,

    caller_line       CHAR(4) NOT NULL,

    timestmp         BIGINT NOT NULL,

    formatted_message  TEXT NOT NULL,

    logger_name       VARCHAR(254) NOT NULL,

    level_string      VARCHAR(254) NOT NULL,

    thread_name       VARCHAR(254),

    reference_flag    SMALLINT,

    arg0              VARCHAR(254),

    arg1              VARCHAR(254),

    arg2              VARCHAR(254),

    arg3              VARCHAR(254)

  );

COMMIT; 

BEGIN;

CREATE TABLE logging_event_property

  (event_id          BIGINT NOT NULL,

    mapped_key        VARCHAR(254) NOT NULL,

    mapped_value      TEXT,

    PRIMARY KEY(event_id, mapped_key),

    FOREIGN KEY (event_id) REFERENCES logging_event(event_id)

  );

COMMIT; 

BEGIN;

CREATE TABLE logging_event_exception

  (event_id         BIGINT NOT NULL,

    i                SMALLINT NOT NULL,

    trace_line       VARCHAR(254) NOT NULL,

    PRIMARY KEY(event_id, i),

    FOREIGN KEY (event_id) REFERENCES logging_event(event_id)

  );

COMMIT;

5. 测试用例

@Component

public class JobExample4SpringTask {

private final Logger logger = LoggerFactory.getLogger("com.wxyh.demo.web.job");

private final AtomicInteger ai = new AtomicInteger(0);

@Scheduled(cron = "0/5 * * * * ?")

public void execute() {

int execBath = ai.incrementAndGet();

logger.debug("执行JobExample4SpringTask, 批次={}", execBath);

logger.info("执行JobExample4SpringTask, 批次={}", execBath);

logger.warn("执行JobExample4SpringTask, 批次={}", execBath);

logger.error("执行JobExample4SpringTask, 批次={}", execBath);

}

}

6. 结果

6.1 job.log日志文件 

2017-04-16 17:52:40.001 [jobScheduler-1] INFO  com.wxyh.demo.web.job - 执行JobExample4SpringTask, 批次=1

2017-04-16 17:52:40.048 [jobScheduler-1] WARN  com.wxyh.demo.web.job - 执行JobExample4SpringTask, 批次=1

2017-04-16 17:52:40.057 [jobScheduler-1] ERROR com.wxyh.demo.web.job - 执行JobExample4SpringTask, 批次=1

2017-04-16 17:52:45.001 [jobScheduler-1] INFO  com.wxyh.demo.web.job - 执行JobExample4SpringTask, 批次=2

2017-04-16 17:52:45.022 [jobScheduler-1] WARN  com.wxyh.demo.web.job - 执行JobExample4SpringTask, 批次=2

2017-04-16 17:52:45.038 [jobScheduler-1] ERROR com.wxyh.demo.web.job - 执行JobExample4SpringTask, 批次=2 

6.2 logging_event表中日志数据