最近做了一个log抽取的项目,采用log4j+flume实现,在此分享记录一下。

准备

什么是flume?

flume是一个提供高可用的,高可靠的,分布式的海量日志采集、聚合和传输的系统。

flume提供了source、channel、sink三个组件,实现数据的抽取加载。一组source、channel、sink组成一个agent同步数据,可以通过并联、串联agent的方式来灵活的实现数据抽取。

更多flume的文章可参考:Flume系列文章

log4j+flume

log4j和flume整合,官方提供了两种appender将log4j的日志写入flume,分别是Log4J AppenderLoad Balancing Log4J Appender

Log4J Appender

Log4J Appender将log数据发送到flume的一个avro source中,在flume中可以根据需求在下游接不同的sink。

Log4j Appender使用时,有以下的配置参数(加粗的是必须的):

Load Balancing Log4J Appender

将log数据发送到flume的多个avro source中。实现负载均衡。

使用时,有以下的配置参数(加粗的是必须的):


Load Balancing Log4J Appender相当于是实现了多个Log4J Appender来实现负载均衡。在flume端,
Load Balancing Log4J Appender需要配置多个avro source来监听输入。

具体实现

pom依赖

<!-- https://mvnrepository.com/artifact/org.apache.flume.flume-ng-clients/flume-ng-log4jappender -->
<dependency>
    <groupId>org.apache.flume.flume-ng-clients</groupId>
    <artifactId>flume-ng-log4jappender</artifactId>
    <version>1.9.0</version>
</dependency>

<!-- https://mvnrepository.com/artifact/org.apache.flume/flume-ng-sdk -->
<dependency>
    <groupId>org.apache.flume</groupId>
    <artifactId>flume-ng-sdk</artifactId>
    <version>1.9.0</version>
</dependency>

<!-- https://mvnrepository.com/artifact/log4j/log4j -->
<dependency>
    <groupId>log4j</groupId>
    <artifactId>log4j</artifactId>
    <version>1.2.17</version>
</dependency>

<!-- https://mvnrepository.com/artifact/org.slf4j/slf4j-log4j12 -->
<dependency>
    <groupId>org.slf4j</groupId>
    <artifactId>slf4j-log4j12</artifactId>
    <version>1.7.25</version>
    <scope>test</scope>
</dependency>

测试类

package com.upupfeng;

import org.apache.log4j.Logger;

public class Log4j2Flume {
    public static void main(String[] args) {
        Logger logger = Logger.getLogger(Log4j2Flume.class);
        logger.info("test");
    }
}

log4j.properties

log4j.rootLogger=debug,stdout,flume

# 输出到控制台
log4j.appender.stdout=org.apache.log4j.ConsoleAppender
log4j.appender.stdout.Target=System.out
log4j.appender.stdout.layout = org.apache.log4j.PatternLayout
log4j.appender.stdout.layout.ConversionPattern =[%d{yyyy-MM-dd HH:mm:ss.SSS}] [%thread] %-5p %l - %m%n

# Log4j Appender
log4j.appender.flume=org.apache.flume.clients.log4jappender.Log4jAppender
log4j.appender.flume.Hostname=192.168.168.200
log4j.appender.flume.Port=41414
log4j.appender.flume.UnsafeMode=true
log4j.appender.flume.layout=org.apache.log4j.PatternLayout
log4j.appender.flume.layout.ConversionPattern=[%d{yyyy-MM-dd HH:mm:ss.SSS}] [%thread] %-5p %l - %m%n

# Load Balancing Log4J Appender
log4j.appender.flume2 = org.apache.flume.clients.log4jappender.LoadBalancingLog4jAppender
log4j.appender.flume2.Hosts = 192.168.168.200:9001 192.168.168.200:9002 192.168.168.200:9003
log4j.appender.flume2.Selector = ROUND_ROBIN
log4j.appender.flume2.MaxBackoff = 30000
log4j.appender.flume2.UnsafeMode = true
log4j.appender.flume2.Threshold=ERROR
log4j.appender.flume2.layout=org.apache.log4j.PatternLayout
log4j.appender.flume2.layout.ConversionPattern=[%d{yyyy-MM-dd HH:mm:ss.SSS}] [%thread] %-5p %l - %m%n

flume-conf.properties

agent的配置。Log4J Appender只需要配置一个agent;Load Balancing Log4J Appender要配置多个。

# Name the components on this agent
a1.sources = r1
a1.sinks = k1
a1.channels = c1

# Describe/configure the source
a1.sources.r1.type = avro
a1.sources.r1.bind = 0.0.0.0
a1.sources.r1.port = 41414

# Describe the sink
a1.sinks.k1.type = logger

# Use a channel which buffers events in memory
a1.channels.c1.type = memory
## 事件容量
a1.channels.c1.capacity = 1000
a1.channels.c1.transactionCapacity = 100

a1.sources.r1.channels = c1
a1.sinks.k1.channel = c1


对于Log4j Appender的方式,启动一个agent等待接收,运行代码即可在flume的sink端获得数据。

对于Load Balancing Log4J Appender的方式,启动多个agent等待接收,进行负载均衡的接收数据。

参考

http://flume.apache.org/releases/content/1.9.0/FlumeUserGuide.html#log4j-appender

08-24 09:53