Flume同时输出数据到HDFS和kafka

cd /usr/local/flume/conf

vim flume-exec-total.conf

## Explain
#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

验证：

1. 首先启动HDFS和kafka

2. 创建topic

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

启动flume以及测试

3. 启动Flume

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

4. 启动kafka客户端

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

结果如图：

Flume服务端：

HDFS：

Kafka客户端：