# example.conf: A single-node Flume configuration# Name the components on this agent #給那三個(gè)組件取個(gè)名字 a1.sources = r1 a1.sinks = k1 a1.channels = c1# Describe/configure the source #類型, 從網(wǎng)絡(luò)端口接收數(shù)據(jù),在本機(jī)啟動(dòng), 所以localhost, type=spoolDir采集目錄源,目錄里有就采 a1.sources.r1.type = netcat a1.sources.r1.bind = localhost a1.sources.r1.port = 44444# Describe the sink a1.sinks.k1.type = logger# Use a channel which buffers events in memory #下沉的時(shí)候是一批一批的, 下沉的時(shí)候是一個(gè)個(gè)eventChannel參數(shù)解釋： #capacity：默認(rèn)該通道中最大的可以存儲(chǔ)的event數(shù)量 #trasactionCapacity：每次最大可以從source中拿到或者送到sink中的event數(shù)量 a1.channels.c1.type = memory a1.channels.c1.capacity = 1000 a1.channels.c1.transactionCapacity = 100# Bind the source and sink to the channel a1.sources.r1.channels = c1 a1.sinks.k1.channel = c1啟動(dòng)命令： #告訴flum啟動(dòng)一個(gè)agent,指定配置參數(shù), --name:agent的名字, $ bin/flume-ng agent --conf conf --conf-file conf/netcat-logger.conf --name a1 -Dflume.root.logger=INFO,console

首先要啟動(dòng)hdfs，

使用telnet通信就可以做測(cè)試，如果是其他機(jī)器訪問(wèn)的那么netcat要配置成ip而不是localhost，netcat默認(rèn)讀取字符長(zhǎng)度是16個(gè)數(shù)字，可以設(shè)置更大

?啟動(dòng)flume 之后?telnet mini2 44444?

文件系統(tǒng) 到hdfs

agent1.sources=source1 agent1.sinks=sink1 agent1.channels=channel1 #source1 agent1.sources.source1.type=spooldir agent1.sources.source1.spoolDir=/home/hadoop/flume/test/logs agent1.sources.source1.channels=channel1 agent1.sources.source1.fileHeader=false agent1.sources.source1.interceptors?=?i1 agent1.sources.source1.interceptors.i1.type?=?timestamp #sink1 agent1.sinks.sink1.type=hdfs agent1.sinks.sink1.hdfs.path=hdfs://mini1:9000/flume/data agent1.sinks.sink1.hdfs.fileType=DataStream agent1.sinks.sink1.hdfs.writeFormat=TEXT agent1.sinks.sink1.hdfs.rollInterval=1 agent1.sinks.sink1.hdfs.useLocalTimeStamp = true agent1.sinks.sink1.channel=channel1 agent1.sinks.sink1.hdfs.filePrefix=%Y-%m-%d #配置channel1 agent1.channels.channel1.type=file agent1.channels.channel1.checkpointDir=/home/hadoop/flume/channel_data.backup agent1.channels.channel1.dataDirs=/home/hadoop/flume/channel_data

?

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