Flume 1.8.0讀取Kafka寫HDFS

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Flume 1.8.0讀取Kafka寫HDFS

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環境準備

• java version “1.8.0_45”
• Hadoop 2.6.0-cdh5.5.1

安裝Flume

wget http://mirrors.tuna.tsinghua.edu.cn/apache/flume/1.8.0/apache-flume-1.8.0-bin.tar.gz
tar -xvf apache-flume-1.8.0-bin.tar.gz

下載Hadoop依賴

從Hadoop集羣中獲取相關jar包放到flume/lib文件夾下

hadoop-common-2.6.3.jar
hadoop-hdfs-2.6.3.jar
commons-configuration-1.6.jar
hadoop-auth-2.6.3.jar
htrace-core-3.0.4.jar

DEMO

# example.conf: A single-node Flume configuration

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

# Describe/configure the source
a1.sources.r1.type = org.apache.flume.source.kafka.KafkaSource
a1.sources.r1.kafka.bootstrap.servers = localhost:9092
a1.sources.r1.kafka.consumer.group.id = flume_test
a1.sources.r1.kafka.topics = flume_topic

# Describe the sink
a1.sinks.k1.type = hdfs
a1.sinks.k1.hdfs.path = hdfs://localhost:8020/rawlog/20%y-%m-%d/%H
a1.sinks.k1.hdfs.useLocalTimeStamp = false
a1.sinks.k1.hdfs.writeFormat = Text
a1.sinks.k1.hdfs.filePrefix = test
a1.sinks.k1.hdfs.fileType = DataStream
a1.sinks.k1.hdfs.rollInterval = 3600
a1.sinks.k1.hdfs.rollSize =  12800000000
a1.sinks.k1.hdfs.rollCount = 0
a1.sinks.k1.hdfs.threadsPoolSize = 10
a1.sinks.k1.hdfs.batchSize = 2000
a1.sinks.k1.hdfs.threadsPoolSize = 10


# Use a channel which buffers events in memory
a1.channels.c1.type = memory
a1.channels.c1.capacity = 1500000
a1.channels.c1.transactionCapacity = 10000

# Bind the source and sink to the channel
a1.sources.r1.channels = c1
a1.sinks.k1.channel = c1

運行命令

./bin/flume-ng agent --conf conf --conf-file ./conf/example.conf --name a1 -Dflume.root.logger=INFO,console