Flume笔记--source端监听目录，sink端上传到HDFS

时间：2021-11-08 12:25:24

官方文档参数解释：http://flume.apache.org/FlumeUserGuide.html#hdfs-sink

需要注意：文件格式，fileType=DataStream 默认为SequenceFile，是hadoop的文件格式，改为DataStream就可直接读了（SqeuenceFile怎么用还不知道。。）
配置文件：

hdfs.conf

a1.sources = r1
a1.sinks = k1
a1.channels = c1

# Describe/configure the source
a1.sources.r1.type = spooldir
a1.sources.r1.channels = c1
a1.sources.r1.spoolDir = /usr/local/hadoop/apache-flume-1.6.0-bin/logs
a1.sources.r1.fileHeader = true



# Describe the sink
a1.sinks.k1.type = hdfs
a1.sinks.k1.channel = c1
a1.sinks.k1.hdfs.path = hdfs://node4:9000/user/flume/logs/%Y-%m-%d-%H
a1.sinks.k1.hdfs.filePrefix = Syslog
#a1.sinks.k1.hdfs.fileSuffix = .log #设定后缀
a1.sinks.k1.hdfs.round = true
a1.sinks.k1.hdfs.roundValue = 10
a1.sinks.k1.hdfs.roundUnit = minute
#--触发roll操作的文件大小in bytes (0: never roll based on file size)
a1.sinks.k1.hdfs.rollSize = 128000000
#--在roll操作之前写入文件的事件数量(0 = never roll based on number of events)
a1.sinks.k1.hdfs.rollCount = 0
#--文件格式:默认SequenceFile，可选 DataStream \ CompressedStream
a1.sinks.k1.hdfs.fileType = DataStream  #DataStream可以直接读出来
#--Format for sequence file records. “Text” or “Writable”
a1.sinks.k1.hdfs.writeFormat = Text
#--使用local time来替换转移字符 (而不是使用event header的timestamp)
a1.sinks.k1.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

 

 

启动hadoop

启动flume:

./flume-ng agent -c . -f /usr/local/hadoop/apache-flume-1.6.0-bin/conf/hdfs.conf -n a1 -Dflume.root.logger=INFO,console

在被监听的文件夹下生成日志文件：

for i in {1000..2000}; do echo "test line $i" >> /usr/local/hadoop/apache-flume-1.6.0-bin/logs/spool_text$i.log;  done;

查看hdfs： http://node4:50070

 

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