nginx+flume+hdfs搭建實時日誌收集系統
阿新 • • 發佈:2019-02-07
1、配置nginx.conf,新增以下配置
http {
#配置日誌格式
log_format lf '$remote_addr^A$msec^A$http_host^A$request_uri';
server {
listen 80;
server_name localhost;
location / {
access_log /home/bxp/Documents/install/tengine-2.2.0/log/nginx/access.log lf;
root html;
}
}
}
2、重啟nginx
systemctl restart nginx
3、建立flume agent檔案,內容如下
#define agent
agent.sources = r2
agent.channels = c2
agent.sinks = k2
# defined source
agent.sources.r2.type = exec
agent.sources.r2.command = tail -f /home/bxp/Documents/install/tengine-2.2.0/log/nginx/access.log
agent.sources.r2.shell = /bin/bash -c
# defined channel
agent.channels.c2.type = memory
#設定channel的容量
agent.channels.c2.capacity = 1000
#設定sink每次從channel中拉取的event的數量
agent.channels.c2.transactionCapacity = 100
# defined sinks
agent.sinks.k2.type = hdfs
agent.sinks.k2.hdfs.path = hdfs://hadoop-series.bxp.com:8020/user/bxp/flume/tracker/%Y/%m/%d
agent.sinks.k2.hdfs.fileType = DataStream
agent.sinks.k2.hdfs.writeFormat = Text
agent.sinks.k2.hdfs.batchSize = 10
agent.sinks.k2.hdfs.useLocalTimeStamp = true
#bind the sources and sink to the channel
agent.sources.r2.channels = c2
agent.sinks.k2.channel = c2
4、將hdfs和flume整合的jar拷貝到flume的lib目錄下,需要的jia如下
{HADOOP_HOME}/share/hadoop/common/lib/commons-configuration-1.6.jar
{HADOOP_HOME}/share/hadoop/common/lib/hadoop-auth-2.6.0-cdh5.10.0.jar
{HADOOP_HOME}/share/hadoop/common/hadoop-common-2.6.0-cdh5.10.0.jar
{HADOOP_HOME}/share/hadoop/hdfs/hadoop-hdfs-2.6.0-cdh5.10.0.jar
5、啟動HDFS
6、啟動flume
bin/flume-ng agent --conf conf/ --name agent --conf-file conf/agent-commad.conf -Dflume.root.logger=DEBUG,console