大数据技术之Flume 配置示例

大数据技术之Flume 配置示例   1 & 3


[root@bigdatacloud conf]# cat test1
a1.sources = r1
a1.sinks = k1
a1.channels = c1

# Describe/configure the source
a1.sources.r1.type = netcat
a1.sources.r1.bind =0.0.0.0
a1.sources.r1.port = 44444

# 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


====================

[root@bigdatacloud conf]# cat test2
a1.sources=r1
a1.sinks=k1
a1.channels=c1

# Describe/configure the source
a1.sources.r1.type=spooldir
a1.sources.r1.spoolDir=/opt/sqooldir

# Describe the sink
a1.sinks.k1.type=avro
a1.sinks.k1.hostname=bigdatastorm
a1.sinks.k1.port=44444

# 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

=========================

[root@bigdatacloud conf]# cat test3
a1.sources=r1
a1.sinks=k1
a1.channels=c1

# Describe/configure the source
a1.sources.r1.type=avro
a1.sources.r1.bind=0.0.0.0
a1.sources.r1.port=44444

# Describe the sink
a1.sinks.k1.type=hdfs
a1.sinks.k1.hdfs.path=hdfs://mycluster/flume/data/%y-%m-%d
a1.sinks.k1.hdfs.rollInterval=0
a1.sinks.k1.hdfs.rollCount=0
a1.sinks.k1.hdfs.rollSize=10240000
a1.sinks.k1.hdfs.fileType=DataStream
a1.sinks.k1.hdfs.idleTimeout=5
a1.sinks.k1.hdfs.useLocalTimeStamp=true
a1.sinks.k1.hdfs.callTimeout=10000

#a1.sinks.k1.type=hdfs
#a1.sinks.k1.type=hdfs
#a1.sinks.k1.type=hdfs

# 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

====================

[root@bigdatacloud conf]# cat getnginxlog
a1.sources=r1
a1.sinks=k1
a1.channels=c1

# Describe/configure the source
#a1.sources.r1.type=avro
a1.sources.r1.type=exec
#a1.sources.r1.bind=0.0.0.0
#a1.sources.r1.port=44444
a1.sources.r1.command=tail -F /opt/first_project/data/access.log

# Describe the sink
a1.sinks.k1.type=hdfs
a1.sinks.k1.hdfs.path=hdfs://mycluster/flume/data1/%y-%m-%d
a1.sinks.k1.hdfs.rollInterval=0
a1.sinks.k1.hdfs.rollCount=0
a1.sinks.k1.hdfs.rollSize=10240000
a1.sinks.k1.hdfs.fileType=DataStream
a1.sinks.k1.hdfs.idleTimeout=5
a1.sinks.k1.hdfs.useLocalTimeStamp=true
a1.sinks.k1.hdfs.callTimeout=10000

#a1.sinks.k1.type=hdfs
#a1.sinks.k1.type=hdfs
#a1.sinks.k1.type=hdfs

# 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


posted @ 2016-05-03 22:54  yuerspring  阅读(185)  评论(0编辑  收藏  举报