Flink Log4j 2.x使用过滤日志类型（区别INFO、ERROR）

文章目录

日志级别：

ALL < TRACE < DEBUG < INFO < WARN < ERROR < FATAL < OFF

log4j官网：

在官网中，有一个的组件。组件允许对日志事件进行评估，以确定是否或如何发布它们。将在其过滤器方法之一上被调用，并将返回一个，这是一个Enum，具有3个值之一- , DENY或。

如果中的级别与配置的级别相同或更具体，则此过滤器返回结果，否则返回值。例如，如果配置了ERROR级别，并且包含DEBUG级别，那么值将被返回，因为ERROR事件比DEBUG事件更高。

过滤器的原理是，如果的日志级别被配置的高，则会执行，否则执行。比如如果配置了INFO级别，而是WARN、ERROR级别，那么值将会执行。而当是DEBUG级别时，则值将会执行。

这里有一个的过滤器，参数包含了：

借助于这个过滤器，可以初步实现过滤日志的功能：

显示info 级别的日志

appender.rolling.filter.threshold.type = ThresholdFilter
appender.rolling.filter.threshold.level = ERROR
appender.rolling.filter.threshold.onMatch = DENY
appender.rolling.filter.threshold.onMismatch = ACCEPT

由于log4j.的.level = INFO，因此最小的日志级别就已经是INFO了，所以上面的配置可以保证当前的输出日志只包含INFO信息。相当于是对ERROR及以上级别的日志执行=>DENY，而对小于ERROR级别，也就是INFO级别，执行 => 。

或者xml的配置方式：

这种方式看着总感觉有点别扭，那有没有其他的组件能更好地支持呢？

查询资料发现，有一个的过滤器组件，其执行原理是：

如果日志级别等于${指定的日志级别}，则，否则

刚好符合我们的需求，于是此时，log4j.的配置文件就可以变成：

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# Allows this configuration to be modified at runtime. The file will be checked every 30 seconds.
monitorInterval=30
# This affects logging for both user code and Flink
# This affects logging for both user code and Flink
rootLogger.level = INFO
rootLogger.appenderRef.rolling.ref = RollingFileAppender
rootLogger.appenderRef.errorLogFile.ref = errorLogFile
# Uncomment this if you want to _only_ change Flink's logging
#logger.flink.name = org.apache.flink
#logger.flink.level = INFO
# The following lines keep the log level of common libraries/connectors on
# log level INFO. The root logger does not override this. You have to manually
# change the log levels here.
logger.akka.name = akka
logger.akka.level = INFO
logger.kafka.name= org.apache.kafka
logger.kafka.level = INFO
logger.hadoop.name = org.apache.hadoop
logger.hadoop.level = INFO
logger.zookeeper.name = org.apache.zookeeper
logger.zookeeper.level = INFO
# Log all infos in the given rolling file
appender.rolling.name = RollingFileAppender
appender.rolling.type = RollingFile
appender.rolling.append = true
appender.rolling.fileName = ${sys:log.file}
appender.rolling.filePattern = ${sys:log.file}.%i
appender.rolling.layout.type = PatternLayout
appender.rolling.layout.pattern = %d{yyyy-MM-dd HH:mm:ss,SSS} %-5p %-60c %x - %m%n
appender.rolling.policies.type = Policies
appender.rolling.policies.size.type = SizeBasedTriggeringPolicy
appender.rolling.policies.size.size=100MB
appender.rolling.policies.startup.type = OnStartupTriggeringPolicy
appender.rolling.strategy.type = DefaultRolloverStrategy
appender.rolling.strategy.max = ${env:MAX_LOG_FILE_NUMBER:-10}
appender.rolling.filter.threshold.type = LevelMatchFilter
appender.rolling.filter.threshold.level = INFO
appender.rolling.filter.threshold.onMatch = ACCEPT
appender.rolling.filter.threshold.onMisMatch = DENY
appender.errorFile.name = errorLogFile
appender.errorFile.type = RollingFile
appender.errorFile.append = true
appender.errorFile.fileName = ${sys:log.file}.err
appender.errorFile.filePattern = ${sys:log.file}.err.%i
appender.errorFile.layout.type = PatternLayout
appender.errorFile.layout.pattern = %d{yyyy-MM-dd HH:mm:ss,SSS} %-5p %-60c %x - %m%n
appender.errorFile.policies.type = Policies
appender.errorFile.policies.size.type = SizeBasedTriggeringPolicy
appender.errorFile.policies.size.size = 100MB
appender.errorFile.policies.startup.type = OnStartupTriggeringPolicy
appender.errorFile.strategy.type = DefaultRolloverStrategy
appender.errorFile.strategy.max = ${env:MAX_LOG_FILE_NUMBER:-10}
appender.errorFile.filter.threshold.type = LevelMatchFilter
appender.errorFile.filter.threshold.level = ERROR
appender.errorFile.filter.threshold.onMatch = ACCEPT
appender.errorFile.filter.threshold.onMisMatch = DENY
# Suppress the irrelevant (wrong) warnings from the Netty channel handler
logger.netty.name = org.apache.flink.shaded.akka.org.jboss.netty.channel.DefaultChannelPipeline
logger.netty.level = OFF

大家如果在部署flink任务时有类似的需求，可以参考上面的配置进行修改，实际上主要添加的只有.配置参数即可。