大数据培训_Flume输出数据到kafka 与HDFS 的配置

#通过sink把数据分别输出到kafka和HDFS上

# Name the components on this agent

agent.sources = r1

agent.sinks = k1 k2

agent.channels = c1 c2

# Describe/configuration the source

agent.sources.r1.type = exec

agent.sources.r1.command = tail -f /root/test.log

agent.sources.r1.shell = /bin/bash -c

## kafka

#Describe the sink

agent.sinks.k1.type = org.apache.flume.sink.kafka.KafkaSink

agent.sinks.k1.topic = kafkatest

agent.sinks.k1.brokerList = master:9092

agent.sinks.k1.requiredAcks = 1

agent.sinks.k1.batchSize = 2

# Use a channel which buffers events in memory

agent.channels.c1.type = memory

agent.channels.c1.capacity = 1000

#agent.channels.c1.transactionCapacity = 100

# Bind the source and sink to the channel

agent.sources.r1.channels = c1 c2

agent.sinks.k1.channel = c1

## hdfs

#Describe the sink

agent.sinks.k2.type = hdfs

agent.sinks.k2.hdfs.path = hdfs://master:9000/data/flume/tail

agent.sinks.k2.hdfs.fileType=DataStream

agent.sinks.k2.hdfs.writeFormat=Text

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

#agent.sinks.k2.hdfs.rollSize = 134217728

#agent.sinks.k2.hdfs.rollCount = 1000000

agent.sinks.k2.hdfs.batchSize=10

## Use a channel which buffers events in memory

agent.channels.c2.type = memory

#agent.channels.c1.capacity = 1000

#agent.channels.c2.transactionCapacity = 100

## Bind the source and sink to the channel

#agent.sources.r1.channels = c2

agent.sinks.k2.channel = c2

服务端/usr/local/flume/bin/flume-ng agent -f flume-exec-total.conf -n agent -Dflume.root.logger=INFO,console

客户端

echo "wangzai doubi"> test.log

kafka-topics.sh --create --zookeeper master:2181,slave1:2181,slave2:2181 --replication-factor 1 --partitions 1 --topic kafkatest

/usr/local/kafka/bin/kafka-console-consumer.sh --zookeeper master:2181,slave1:2181,slave2:2181--topic kafkatest --from-beginning