测试将web日志流文件写入hdfs的配置文件

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

a1.sources.r1.type = spooldir
a1.sources.r1.spoolDir =/home/hadoop/log
a1.sources.r1.fileHeader = true


a1.sinks.k1.type = hdfs
a1.sinks.k1.channel = c1
a1.sinks.k1.hdfs.path = /flume/events/%Y-%m-%d/
a1.sinks.k1.hdfs.filePrefix = events-
a1.sinks.k1.hdfs.round = true
a1.sinks.k1.hdfs.roundValue = 10
a1.sinks.k1.hdfs.roundUnit = second
a1.sinks.k1.hdfs.rollInterval = 2
a1.sinks.k1.hdfs.rollSize = 10240
a1.sinks.k1.hdfs.rollCount = 256
a1.sinks.k1.hdfs.batchSize = 50
a1.sinks.k1.hdfs.useLocalTimeStamp = true

a1.sinks.k1.hdfs.fileType = DataStream

a1.channels.c1.type = memory
a1.channels.c1.capacity = 1000
a1.channels.c1.transactionCapacity = 100

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

是监控文件夹，看一下写在hdfs之后的样子，速度很快。

需要注意的是：我监控的是整个文件夹，写完之后，flume会将这个文件夹的名字在后面加上一个.COMPLMETED
加上了这个后缀之后，下次就不会监控这个文件夹了。我之前测试的时候，没注意到这一点，发现一直都没往hdfs上写文件，我还傻傻等半天。

后面我又修改了配置文件，如果不修改的话，那么生成太多的文件，运行MapReduce程序会非常地卡。

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

a1.sources.r1.type = spooldir
a1.sources.r1.spoolDir =/home/hadoop/log
a1.sources.r1.fileHeader = true


a1.sinks.k1.type = hdfs
a1.sinks.k1.channel = c1
a1.sinks.k1.hdfs.path = /flume/events/%Y-%m-%d/
a1.sinks.k1.hdfs.filePrefix = events-
a1.sinks.k1.hdfs.round = true
a1.sinks.k1.hdfs.roundValue = 10
a1.sinks.k1.hdfs.roundUnit = second
a1.sinks.k1.hdfs.rollInterval = 3
a1.sinks.k1.hdfs.rollSize = 1048576
a1.sinks.k1.hdfs.rollCount = 0
a1.sinks.k1.hdfs.batchSize = 50
a1.sinks.k1.hdfs.useLocalTimeStamp = true

a1.sinks.k1.hdfs.fileType = DataStream

a1.channels.c1.type = memory
a1.channels.c1.capacity = 1000
a1.channels.c1.transactionCapacity = 100

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