概览
准备
1.将hadoop的hdfs-site.xml和core-site.xml 放到flume/conf下
2.将hadoop的jar包拷贝到flume的lib目录下
3.配置flume2.conf
4.启动flume(保证首先启动hdfs)
5.测试
准备
首先将flume配置完毕,参考flume的单机版配置及测试
hadoop集群搭建完毕,参考hadoop单机版搭建,hadoop集群搭建
工具:Xshell 5,Xftp 5
1.将hadoop的hdfs-site.xml和core-site.xml 放到flume/conf下
[[email protected] ~]# cp /usr/hadoop/hadoop-2.7.3/etc/hadoop/core-site.xml /usr/flume/apache-flume-1.8.0-bin/conf/
[[email protected] ~]# cp /usr/hadoop/hadoop-2.7.3/etc/hadoop/hdfs-site.xml /usr/flume/apache-flume-1.8.0-bin/conf/
2.将hadoop的jar包拷贝到flume的lib目录下
[[email protected] ~]# cp $HADOOP_HOME/share/hadoop/common/hadoop-common-2.7.3.jar /usr/flume/apache-flume-1.8.0-bin/lib/
[[email protected] ~]# cp $HADOOP_HOME/share/hadoop/common/lib/hadoop-auth-2.7.3.jar /usr/flume/apache-flume-1.8.0-bin/lib/
[[email protected] ~]# cp $HADOOP_HOME/share/hadoop/common/lib/commons-configuration-1.6.jar /usr/flume/apache-flume-1.8.0-bin/lib/
3.配置flume2.conf
在flume安装目录下的conf下创建一个flume2.conf文件,并写入配置
#定义agent名, source、channel、sink的名称
a4.sources = r1
a4.channels = c1
a4.sinks = k1
#具体定义source
a4.sources.r1.type = spooldir
#先创建此目录,保证里面空的
a4.sources.r1.spoolDir = /logs
#具体定义channel
a4.channels.c1.type = memory
a4.channels.c1.capacity = 10000
a4.channels.c1.transactionCapacity = 100
#定义拦截器,为消息添加时间戳
a4.sources.r1.interceptors = i1
a4.sources.r1.interceptors.i1.type = org.apache.flume.interceptor.TimestampInterceptor$Builder
#具体定义sink
a4.sinks.k1.type = hdfs
#集群的nameservers名字
#单节点的直接写:hdfs://localhost:9000/flume/%Y%m%d
#集群版的ns为集群名称
a4.sinks.k1.hdfs.path = hdfs://ns/flume/%Y%m%d
a4.sinks.k1.hdfs.filePrefix = events-
a4.sinks.k1.hdfs.fileType = DataStream
#不按照条数生成文件
a4.sinks.k1.hdfs.rollCount = 0
#HDFS上的文件达到128M时生成一个文件
a4.sinks.k1.hdfs.rollSize = 134217728
#HDFS上的文件达到60秒生成一个文件
a4.sinks.k1.hdfs.rollInterval = 60
#组装source、channel、sink
a4.sources.r1.channels = c1
a4.sinks.k1.channel = c1
4.启动flume(保证首先启动hdfs)
启动hdfs参考hadoop单机版搭建,hadoop集群搭建中的hadoop启动
[[email protected] apache-flume-1.8.0-bin]# flume-ng agent -n a4 -c conf -f conf/flume2.conf -Dflume.root.logger=INFO,console
5.测试
重新打开一个窗口
在/usr/tmp下创建一个a文件
[[email protected] ~]# cd /usr/tmp/
[[email protected] tmp]# ls
hive_add.jar hive_name.jar hive_xx.jar student
[[email protected] tmp]# vim a
随便输入一些内容
dada
dada
aaa
aa
aaa
保存退出,将其copy到logs文件夹下
[[email protected] tmp]# cp a /logs/
查看原来的窗口
然后登录http://你的主机ip:50070查看
如此便是采集日志到hadoop成功了