flume+kafka測試（監控File）

1.flume與kafka整合

1.下載插件包

    Flume和Kafka插件包下載：https://github.com/beyondj2ee/flumeng-kafka-plugin

2.複製jar包

    複製插件包中的jar包到flume/lib中

        （刪掉不一樣版本相同jar包，需刪除scala-compiler-z.9.2.jar包，不然flume啓動會出現問題）

    複製kafka/libs中的jar包到flume/lib中

2.配置flume配置文件（監控file）

    vi /opt/flume/conf/hw.conf

agent.sources = s1   
agent.channels = c1 
agent.sinks = k1

agent.sources.s1.type=exec
agent.sources.s1.command=tail -F /opt/log/debug.log
agent.sources.s1.channels=c1
agent.channels.c1.type=memory
agent.channels.c1.capacity=10000
agent.channels.c1.transactionCapacity=100

#設置Kafka接收器
agent.sinks.k1.type= org.apache.flume.sink.kafka.KafkaSink
#設置Kafka的broker地址和端口號
agent.sinks.k1.brokerList=127.0.0.1:9092
#設置Kafka的Topic
agent.sinks.k1.topic=testKJ1
#設置序列化方式
agent.sinks.k1.serializer.class=kafka.serializer.StringEncoder
agent.sinks.k1.channel=c1

3.啓動zookeeper(/opt/kafka)

    bin/zookeeper-server-start.sh config/zookeeper.properties

4.啓動kafka(/opt/kafka)

    bin/kafka-server-start.sh config/server.properties

5.啓動kafka消費者 (/opt/kafka)

    bin/kafka-console-consumer.sh -zookeeper localhost:2181 --from-beginning --topic testKJ1

6.啓動flume(/opt/flume)

    bin/flume-ng agent -n agent -c conf -f conf/hw.conf -Dflume.root.logger=INFO,console

7.向被監控日誌插入數據

    echo "nihaoa dashagua">>/opt/log/debug.log

####################################################################################

控制文件舉例

監控目錄

    vi /opt/flume/conf/dir.conf

a1.sources = s1
a1.channels = c1
a1.sinks = k1

a1.sources.s1.type = spooldir
a1.sources.s1.channels = c1
a1.sources.s1.spoolDir = /opt/log/
a1.sources.s1.fileHeader = true

a1.channels.c1.type = memory
a1.channels.c1.capacity = 10000
a1.channels.c1.transactionCapacity = 10000
a1.channels.c1.byteCapacityBufferPercentage = 20
a1.channels.c1.byteCapacity = 800000

a1.sinks.k1.type = org.apache.flume.sink.kafka.KafkaSink
a1.sinks.k1.topic = Dirtopic
a1.sinks.k1.brokerList = 127.0.0.1:9092
a1.sinks.k1.requiredAcks = 1
a1.sinks.k1.batchSize = 20
a1.sinks.k1.channel = c1

監控目錄寫入HDFS

    vi /opt/flume/conf/dirhdfs.conf

a1.sources = s1
a1.channels = c1
a1.sinks = k2

a1.sources.s1.type = spooldir
a1.sources.s1.channels = c1
a1.sources.s1.spoolDir = /opt/log/
a1.sources.s1.fileHeader = true

a1.channels.c1.type = memory
a1.channels.c1.capacity = 10000
a1.channels.c1.transactionCapacity = 100
a1.channels.c1.byteCapacityBufferPercentage = 20
a1.channels.c1.byteCapacity = 800000

a1.sinks.k2.topic = Dirtopic
a1.sinks.k2.type=hdfs
a1.sinks.k2.channel=c1
a1.sinks.k2.hdfs.path= /tmp/dirhdfs
a1.sinks.k2.hdfs.filePrefix=events-
a1.sinks.k2.hdfs.round=true
a1.sinks.k2.hdfs.roundValue=10
a1.sinks.k2.hdfs.roundUnit=minute

監控目錄寫入HDFS(按日分目錄、按小時分文件)

    如/user/hue/logput/20170521下，event-20170521.1495378401218.log

a1.sources = s1
a1.channels = c1
a1.sinks = k2

a1.sources.s1.type = spooldir
a1.sources.s1.channels = c1
a1.sources.s1.spoolDir = /opt/log/
a1.sources.s1.fileHeader = true

a1.channels.c1.type = memory
a1.channels.c1.capacity = 10000
a1.channels.c1.transactionCapacity = 100
a1.channels.c1.byteCapacityBufferPercentage = 20
a1.channels.c1.byteCapacity = 800000

a1.sinks.k2.topic = Dirtopic
a1.sinks.k2.type=hdfs
a1.sinks.k2.channel=c1
a1.sinks.k2.hdfs.useLocalTimeStamp = true
a1.sinks.k2.hdfs.path= /user/hue/logput/%Y%m%d
a1.sinks.k2.hdfs.filePrefix=events-%Y%m%d
a1.sinks.k2.hdfs.fileSuffix=.log
a1.sinks.k2.hdfs.round=true
a1.sinks.k2.hdfs.roundValue=10
a1.sinks.k2.hdfs.roundUnit=minute