log4j直接输出日志到flume
此jar是由Cloudera的CDH发行版提供的一个工具类，通过配置，可以将log4j的日志直接输出到flume，方便日志的采集。
在CDH5.3.0版本中是：flume-ng-log4jappender-1.5.0-cdh5.3.0-jar-with-dependencies.jar
所在目录是：/opt/cloudera/parcels/CDH/lib/flume-ng/tools/
具体使用示例
log4j配置（log4j.properties)
log4j.category.com.xxx=INFO,console,flume
log4j.appender.console=org.apache.log4j.ConsoleAppender
log4j.appender.console.target=System.out
log4j.appender.console.layout=org.apache.log4j.PatternLayout
log4j.appender.console.layout.ConversionPattern="%d{yyyy-MM-dd HH:mm:ss} %p [%c:%L] - %m%n
log4j.appender.flume = org.apache.flume.clients.log4jappender.Log4jAppender
log4j.appender.flume.Hostname = localhost
log4j.appender.flume.Port = 4444
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} %p [%c:%L] - %m%n配置classpath
在classpath中要包含log4j.properties和flume-ng-log4jappender-1.5.0-cdh5.3.0-jar-with-dependencies.jar
编写JAVA测试类并导出为test.jar
import java.util.Date;
import org.apache.commons.logging.Log;
import org.apache.commons.logging.LogFactory;
public class WriteLog {
protected static final Log logger = LogFactory.getLog(WriteLog.class);
public static void main(String[] args) throws InterruptedException {
// TODO Auto-generated method stub
while (true) {
// 每隔两秒log输出一下当前系统时间戳
logger.info(new Date().getTime());
Thread.sleep(2000);
try {
throw new Exception("exception msg");
}
catch (Exception e) {
logger.error("error:" + e.getMessage());
}
}
}
}编写flume agent配置文件
a1.sources = r1
a1.sinks = k1
a1.channels = c1
# Describe/configure the source
a1.sources.r1.type = avro
a1.sources.r1.bind = localhost
a1.sources.r1.port = 4444
# Describe the sink
a1.sinks.k1.type = file_roll
a1.sinks.k1.sink.directory = /data/soft/flume/tmp
a1.sinks.k1.sink.rollInterval=86400
a1.sinks.k1.sink.batchSize=100
a1.sinks.k1.sink.serializer=text
a1.sinks.k1.sink.serializer.appendNewline = false
# Use a channel which buffers events in memory
a1.channels.c1.type = memory
a1.channels.c1.capacity = 1000
a1.channels.c1.transactionCapacity = 1000
# Bind the source and sink to the channel
a1.sources.r1.channels = c1
a1.sinks.k1.channel = c1运行程序
将相关程序上传到服务器，并先启动agent
进入flume安装目录后，执行
bin/flume-ng agent -c conf -f conf/avro.conf --name a1 -Dflume.root.logger=INFO,console
执行测试程序
java -classpath ./:flume-ng-log4jappender-1.5.0-cdh5.3.0-jar-with-dependencies.jar:test.jar com.xxx.WriteLog
检查运行结果
tail -f /data/soft/flume/tmp/1436164166461-1
2015-07-06 14:51:36 ERROR [com.xxx.WriteLog:27] - error:exception msg
2015-07-06 14:51:36 ERROR [com.xxx.WriteLog:28] - error:stack
2015-07-06 14:51:36 INFO [com.xxx.WriteLog:21] - 1436165496975
2015-07-06 14:51:38 ERROR [com.xxx.WriteLog:27] - error:exception msg
2015-07-06 14:51:38 ERROR [com.xxx.WriteLog:28] - error:stack
2015-07-06 14:51:38 INFO [com.xxx.WriteLog:21] - 1436165498977
