Spark大数据学习笔记_第6篇_flume安装

Spark大数据学习笔记_第6篇_flume安装


    • Spark大数据学习笔记_第6篇_flume安装
      • 1.安装flume
      • 2.修改flume配置文件
      • 3. 创建需要的文件夹
      • 4.启动flume-agent
      • 5.测试flume


1.安装flume

1、将flume-ng-1.5.0-cdh5.3.6.tar.gz使用WinSCP拷贝到sparkproject1的/usr/local目录下。
2、对flume进行解压缩:

tar -zxvf flume-ng-1.5.0-cdh5.3.6.tar.gz

3、对flume目录进行重命名:

mv apache-flume-1.5.0-cdh5.3.6-bin flume

4、配置scala相关的环境变量

vi ~/.bashrc
export FLUME_HOME=/usr/local/flume
export FLUME_CONF_DIR=$FLUME_HOME/conf
export PATH=$FLUME_HOME/bin
source ~/.bashrc

2.修改flume配置文件

vi /usr/local/flume/conf/flume-conf.properties

#agent1表示代理名称
agent1.sources=source1
agent1.sinks=sink1
agent1.channels=channel1
#配置source1
agent1.sources.source1.type=spooldir
agent1.sources.source1.spoolDir=/usr/local/logs
agent1.sources.source1.channels=channel1
agent1.sources.source1.fileHeader = false
agent1.sources.source1.interceptors = i1
agent1.sources.source1.interceptors.i1.type = timestamp
#配置channel1
agent1.channels.channel1.type=file
agent1.channels.channel1.checkpointDir=/usr/local/logs_tmp_cp
agent1.channels.channel1.dataDirs=/usr/local/logs_tmp
#配置sink1
agent1.sinks.sink1.type=hdfs
agent1.sinks.sink1.hdfs.path=hdfs://sparkproject1:9000/logs
agent1.sinks.sink1.hdfs.fileType=DataStream
agent1.sinks.sink1.hdfs.writeFormat=TEXT
agent1.sinks.sink1.hdfs.rollInterval=1
agent1.sinks.sink1.channel=channel1
agent1.sinks.sink1.hdfs.filePrefix=%Y-%m-%d

3. 创建需要的文件夹

  • 本地文件夹:
mkdir /usr/local/logs
  • HDFS文件夹:
hdfs dfs -mkdir /logs

4.启动flume-agent

flume-ng agent -n agent1 -c conf -f /usr/local/flume/conf/flume-conf.properties -Dflume.root.logger=DEBUG,console

5.测试flume

  • 新建一份文件,移动到/usr/local/logs目录下,flume就会自动上传到HDFS的/logs目录中

你可能感兴趣的:(Spark,Linux,CentOS,Spark,大数据,flume)