FLUME的2种配置

最新推荐文章于 2024-05-12 16:12:10 发布

呼和浩特-大数据-白胖子

最新推荐文章于 2024-05-12 16:12:10 发布

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分类专栏： hadoop 文章标签： FLUME

本文链接：https://blog.youkuaiyun.com/ddbbff2005/article/details/88211761

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本文介绍了FLUME的两种主要配置方法：spooldir用于监控并收集文件夹中的所有日志，适合不断生成的日志；exec则适用于跟踪文件夹中追加的日志，如log4j打印的日志。启动FLUME agent的命令为bin/flume-ng agent -c conf -f conf/tail-hdfs.conf -n a1。

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FLUME主要用的两种配置方法：
1：spooldir - 用来一取某个文件夹下的所有日志。不断生成日志
2：exec - 用来一取一个文件夹下的追加日志。eg-log4j打印日志到aaa.log最后一行

启动命令：bin/flume-ng agent -c conf -f conf/tail-hdfs.conf -n a1

spooldir 的配置

#定义三大组件的名称
ag1.sources = source1
ag1.sinks = sink1
ag1.channels = channel1

# 配置source组件
ag1.sources.source1.type = spooldir
ag1.sources.source1.spoolDir = /root/log/
ag1.sources.source1.fileSuffix=.FINISHED
ag1.sources.source1.deserializer.maxLineLength=5120

# 配置sink组件
ag1.sinks.sink1.type = hdfs
ag1.sinks.sink1.hdfs.path =hdfs://hdp-01:9000/access_log/%y-%m-%d/%H-%M
ag1.sinks.sink1.hdfs.filePrefix = app_log
ag1.sinks.sink1.hdfs.fileSuffix = .log
ag1.sinks.sink1.hdfs.batchSize= 100
ag1.sinks.sink1.hdfs.fileType = DataStream
ag1.sinks.sink1.hdfs.writeFormat =Text

## roll：滚动切换：控制写文件的切换规则
ag1.sinks.sink1.hdfs.rollSize = 512000    ## 按文件体积（字节）来切   
ag1.sinks.sink1.hdfs.rollCount = 1000000  ## 按event条数切
ag1.sinks.sink1.hdfs.rollInterval = 60    ## 按时间间隔切换文件

## 控制生成目录的规则
ag1.sinks.sink1.hdfs.round = true
ag1.sinks.sink1.hdfs.roundValue = 10
ag1.sinks.sink1.hdfs.roundUnit = minute

ag1.sinks.sink1.hdfs.useLocalTimeStamp = true

# channel组件配置
ag1.channels.channel1.type = memory
ag1.channels.channel1.capacity = 500000   ## event条数
ag1.channels.channel1.transactionCapacity = 600  ##flume事务控制所需要的缓存容量600条event

# 绑定source、channel和sink之间的连接
ag1.sources.source1.channels = channel1
ag1.sinks.sink1.channel = channel1

exec 的配置

########

# Name the components on this agent
a1.sources = r1
a1.sinks = k1
a1.channels = c1

# Describe/configure the source
a1.sources.r1.type = exec
a1.sources.r1.command = tail -F /root/app_weichat_login.log

# Describe the sink
agent1.sinks.sink1.type = hdfs
agent1.sinks.sink1.hdfs.path =hdfs://hdp20-01:9000/app_weichat_login_log/%y-%m-%d/%H-%M
agent1.sinks.sink1.hdfs.filePrefix = weichat_log
agent1.sinks.sink1.hdfs.fileSuffix = .dat
agent1.sinks.sink1.hdfs.batchSize= 100
agent1.sinks.sink1.hdfs.fileType = DataStream
agent1.sinks.sink1.hdfs.writeFormat =Text

agent1.sinks.sink1.hdfs.rollSize = 100
agent1.sinks.sink1.hdfs.rollCount = 1000000
agent1.sinks.sink1.hdfs.rollInterval = 60

agent1.sinks.sink1.hdfs.round = true
agent1.sinks.sink1.hdfs.roundValue = 1
agent1.sinks.sink1.hdfs.roundUnit = minute


agent1.sinks.sink1.hdfs.useLocalTimeStamp = true



# Use a channel which buffers events in memory
a1.channels.c1.type = memory
a1.channels.c1.capacity = 1000
a1.channels.c1.transactionCapacity = 100

# Bind the source and sink to the channel
a1.sources.r1.channels = c1
a1.sinks.k1.channel = c1