scala配置log4j+slf4j

环境信息

jdk 17
scala 2.11.0

导入依赖

<dependency>
    <groupId>org.slf4j</groupId>
    <artifactId>slf4j-reload4j</artifactId>
    <version>2.0.9</version>
</dependency>

添加配置文件

resource目录下新建 log4j.properties

### 设置log级别为DEBUG, 并将log分别分发给stdout, d, e
log4j.rootLogger = DEBUG, stdout, D, E

### stdout相关配置 ###
log4j.appender.stdout = org.apache.log4j.ConsoleAppender
log4j.appender.stdout.Threshold = DEBUG
log4j.appender.stdout.Target = System.out
log4j.appender.stdout.layout = org.apache.log4j.PatternLayout
log4j.appender.stdout.layout.ConversionPattern = [%-5p] [%d{yyyy-MM-dd HH:mm:ss,SSS}] [%C{1}.%M:%L] [%t] - %m%n


### D相关配置， 输出DEBUG及以上级别的日志到logs/log.log文件 ###
log4j.appender.D = org.apache.log4j.FileAppender
log4j.appender.D.File = logs/log.log
log4j.appender.D.Append = true
log4j.appender.D.Threshold = DEBUG
log4j.appender.D.layout = org.apache.log4j.PatternLayout
log4j.appender.D.layout.ConversionPattern = [%-5p] [%d{yyyy-MM-dd HH:mm:ss,SSS}] [%C{1}.%M:%L] [%t] - %m%n

### E相关配置， 输出ERROR级别的日志到logs/error.log文件 ###
log4j.appender.E = org.apache.log4j.FileAppender
log4j.appender.E.File = logs/error.log
log4j.appender.E.Append = true
log4j.appender.E.Threshold = ERROR
log4j.appender.E.layout = org.apache.log4j.PatternLayout
log4j.appender.E.layout.ConversionPattern = [%-5p] [%d{yyyy-MM-dd HH:mm:ss,SSS}] [%C{1}.%M:%L] [%t] - %m%n

代码测试

import org.slf4j._


object Main{
  private val logger: Logger = LoggerFactory.getLogger(getClass)

  def main(args: Array[String]): Unit = {
    logger.debug("11111111")
    logger.info("22222222")
    logger.warn("33333333")
    logger.error("4444444")
  }
}

依赖冲突

我在导入spark依赖后，出现了依赖冲突，导致log4j配置文件被覆盖，无法生效，

解决方案是找到依赖冲突的那个依赖，手动删除掉依赖自带的log4j

错误信息

SLF4J: Class path contains multiple SLF4J providers.
SLF4J: Found provider [org.apache.logging.slf4j.SLF4JServiceProvider@1ae369b7]
SLF4J: Found provider [org.slf4j.reload4j.Reload4jServiceProvider@6fffcba5]
SLF4J: See https://www.slf4j.org/codes.html#multiple_bindings for an explanation.

删除依赖

<dependency>
    <groupId>org.apache.spark</groupId>
    <artifactId>spark-core_2.12</artifactId>
    <version>3.5.0</version>
  
    <exclusions>
        <exclusion>
            <groupId>org.slf4j</groupId>
            <artifactId>*</artifactId>
        </exclusion>
        <exclusion>
            <groupId>org.apache.logging.log4j</groupId>
            <artifactId>*</artifactId>
        </exclusion>
    </exclusions>
  
</dependency>