flume11.conf 

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

# 2 source
a1.sources.r1.type = exec
a1.sources.r1.command = tail -F /opt/Andy
a1.sources.r1.shell = /bin/bash -c

# 3 sink
a1.sinks.k1.type = avro
a1.sinks.k1.hostname = bigdata121
a1.sinks.k1.port = 4141

# 4 channel
a1.channels.c1.type = memory
a1.channels.c1.capacity = 1000
a1.channels.c1.transactionCapacity = 100

# 5. Bind
a1.sources.r1.channels = c1
a1.sinks.k1.channel = c1
 

flume22.conf 

#agent
a2.sources = r1
a2.sinks = k1
a2.channels = c1

# 2 source
a2.sources.r1.type = netcat
a2.sources.r1.bind = bigdata121
a2.sources.r1.port = 44444

#3 sink
a2.sinks.k1.type = avro
a2.sinks.k1.hostname = bigdata121
a2.sinks.k1.port = 4141

# 4 channel
a2.channels.c1.type = memory
a2.channels.c1.capacity = 1000
a2.channels.c1.transactionCapacity = 100

# 5 Bind
a2.sources.r1.channels = c1
a2.sinks.k1.channel = c1
 

flume33.conf 

#agent
a3.sources = r1
a3.sinks = k1
a3.channels = c1

# 2 source
a3.sources.r1.type = avro
a3.sources.r1.bind = bigdata121
a3.sources.r1.port = 4141

# 3 sink
a3.sinks.k1.type = hdfs
a3.sinks.k1.hdfs.path = hdfs://bigdata121:9000/flume3/%H
#上传文件的前缀
a3.sinks.k1.hdfs.filePrefix = flume3-
#是否按照时间滚动文件夹
a3.sinks.k1.hdfs.round = true
#多少时间单位创建一个新的文件夹
a3.sinks.k1.hdfs.roundValue = 1
#重新定义时间单位
a3.sinks.k1.hdfs.roundUnit = hour
#是否使用本地时间戳
a3.sinks.k1.hdfs.useLocalTimeStamp = true
#积攒多少个Event才flush到HDFS一次
a3.sinks.k1.hdfs.batchSize = 100
#设置文件类型，可支持压缩
a3.sinks.k1.hdfs.fileType = DataStream
#多久生成一个新的文件
a3.sinks.k1.hdfs.rollInterval = 600
#设置每个文件的滚动大小大概是128M
a3.sinks.k1.hdfs.rollSize = 134217700
#文件的滚动与Event数量无关
a3.sinks.k1.hdfs.rollCount = 0
#最小冗余数
a3.sinks.k1.hdfs.minBlockReplicas = 1

# 4 channel
a3.channels.c1.type = memory
a3.channels.c1.capacity = 1000
a3.channels.c1.transactionCapacity = 100

# 5 Bind
a3.sources.r1.channels = c1
a3.sinks.k1.channel = c1
 

分别启动flume33 ,flume22 ,flume11文件

$ bin/flume-ng agent --conf conf/ --name a3 --conf-file jobconf/flume33.conf

开启telnet 监听,并下沉到hdfs

编辑文件 sink 到hdfs 

结果如下: