Sources

可以创建一个分层的拓扑结构

Exec Source

批量采集，一次处理一个文件。

command：
cat [named pipe]：查看文件所有内容
tail -F [file]：倒序查看文件的内容

# 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 = cat /home/hadoop/pikachu.txt
# Describe the sink
a1.sinks.k1.type = logger
# 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

Avro Source

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

# Describe/configure the source
a1.sources.r1.type = avro
a1.sources.r1.bind = localhost
a1.sources.r1.port = 44445

# Describe the sink
a1.sinks.k1.type = logger

# 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

客户端
flume-ng agent --conf conf --conf-file /home/hadoop/kylin/c.conf --name a1 -Dflume.root.logger=INFO,console
新窗口：
flume-ng avro-client -H localhost -p 44445 --filename /home/hadoop/pikachu.txt

PS：

• Thrift Source：需要指定端口号

• netcat：udp/tcp 指定端口号传输数据

Spooling Directory Source

批量数据移动。 采集文件夹中新增的文件。

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

# Describe/configure the source
a1.sources.r1.type = spooldir
a1.sources.r1.spoolDir = /home/hadoop/tmppkq

# Describe the sink
a1.sinks.k1.type = logger

# 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