分布式日志收集框架Flume

解决问题

1）容错
2）延时
3）监控

概述

官网：http://flume.apache.org
Flume是由Cloudera提供的一个分布式、高可靠、高可用的服务，用于分布式的海量日志的高收集、聚合、移动系统。
Agent:source,channel,sink

设计目标：
可靠性
扩展性
管理性

业界同类产品对比：
(推荐) Flume：Cludera/Apache Java语言
Scribe: Facebook C/C++ 不再维护
Chukwa: Yahoo/Apache Java 不再维护
Fluentd：Ruby
(推荐) Logstash: ELK(ElasticSearch,Kibana)

Flume发展史
Cloudera 0.9.2 Flume-0G
flume-728 Flume-NG ==>Apache
2012.7 1.0
2015.5 1.6
~ 1.7

Flume架构及核心组件

1）Source 收集
2）Channel 聚集 (通道)
3）Sink 输出

Flume安装条件

1）Java 1.7 or later
2) 内存
3）磁盘空间
4）目录权限读/写

安装

1.安装jdk
下载
解压到~/app
将java配置系统环境变量中：~/.bash_profile
export JAVA_HOME=/home/hadoop/app/java1.8
export Path=$JAVA_HOME/bin;$PATH
source下让其配置生效 source ~/.bash_profile
检测：java -version

2.安装Flume
下载 cdh5.7
解压到~/app
将java配置系统环境变量中：：~/.bash_profile
export FLUME_HOME=/home/hadoop/app/apache-flume-1.6.0-cdh5.7.0-b
export PATH=$FLUME_HOME/bin;$PATH
source下让其配置生效
flume-env.sh的配置：export JAVA_HOME=/home/hadoop/app/jdk1.8.0_144
检测：flume-ng version

Windows Flume exec-memory-logger

exec-memory-logger.sources = exec-source
exec-memory-logger.sinks = logger-sink
exec-memory-logger.channels = memory-channel

exec-memory-logger.sources.exec-source.type = exec
exec-memory-logger.sources.exec-source.command =tail.exe -f f:applog.txt

exec-memory-logger.channels.memory-channel.type = memory

exec-memory-logger.sinks.logger-sink.type = logger

exec-memory-logger.sources.exec-source.channels = memory-channel
exec-memory-logger.sinks.logger-sink.channel = memory-channel

启动：
flume-ng.cmd agent -conf ../conf -conf-file ../conf/streaming_project.conf -name exec-memory-logger -property flume.root.logger=INFO,console

Windows Flume exec-memory-Kafka

exec-memory-kafka.sources = exec-source
exec-memory-kafka.sinks = kafka-sink
exec-memory-kafka.channels = memory-channel

exec-memory-kafka.sources.exec-source.type = exec
exec-memory-kafka.sources.exec-source.command =tail.exe -f f:applog.txt

exec-memory-kafka.channels.memory-channel.type = memory

exec-memory-kafka.sinks.kafka-sink.type = org.apache.flume.sink.kafka.KafkaSink
exec-memory-kafka.sinks.kafka-sink.brokerList =192.168.9.196:9092,192.168.9.197:9092,192.168.9.198:9092
exec-memory-kafka.sinks.kafka-sink.topic =test1
exec-memory-kafka.sinks.kafka-sink.batchSize=4
exec-memory-kafka.sinks.kafka-sink.requiredAcks=1

exec-memory-kafka.sources.exec-source.channels = memory-channel
exec-memory-kafka.sinks.kafka-sink.channel = memory-channel

启动：
flume-ng.cmd agent -conf ../conf -conf-file ../conf/exec-memory-kafka.conf -name exec-memory-kafka -property flume.root.logger=INFO,console