flume集成hdfs(hdfs开启kerberos认证)

）当 sink 到 hdfs 时：

) 需修改 flume-env.sh 配置，增添 hdfs 依赖库：

　　FLUME_CLASSPATH="/root/TDH-Client/hadoop/hadoop/*:/root/TDHClient/hadoop/hadoop-hdfs/*:/root/TDH-Client/hadoop/hadoop/lib/*"

 

实例：

a1.sources=r1

a1.sinks=k2

a1.channels=c2

 

a1.sources.r1.type=avro

a1.sources.r1.channels=c1 c2

a1.sources.r1.bind=172.20.237.105

a1.sources.r1.port=8888

 

#r1的数据通过c2发送给k2输出到HDFS中存储

a1.sinks.k2.channel = c2

a1.sinks.k2.type=hdfs

a1.sinks.k2.hdfs.kerberosKeytab=/etc/hdfs1/conf/hdfs.keytab

a1.sinks.k2.hdfs.kerberosPrincipal=hdfs/gz237-105@TDH

#存储到hdfs上的位置

a1.sinks.k2.hdfs.path= hdfs://nameservice1/yang/flume/portal/broswerinfo/%Y%m%d

a1.sinks.k2.hdfs.filePrefix=log-%Y-%m-%d

a1.sinks.k2.hdfs.useLocalTimeStamp = true

a1.sinks.k2.hdfs.writeFormat = text

a1.sinks.k2.hdfs.fileType=DataStream

a1.sinks.k2.hdfs.inUseSuffix=.log

#a1.sinks.k2.hdfs.rollInterval = 0

a1.sinks.k2.hdfs.rollInterval = 60

a1.sinks.k2.hdfs.rollSize = 10240

a1.sinks.k2.hdfs.rollCount = 100

#a1.sinks.k2.hdfs.rollCount = 0

a1.sinks.k2.hdfs.idleTimeout=60

 

a1.channels.c2.type=memory

a1.channels.c2.capacity=100000

a1.channels.c2.transactionCapacity=10000

来源：oschina

链接：https://my.oschina.net/u/4413400/blog/3642061