Flume的Source怎么实现采集数据到通过内存输出到控制台

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需求：

Flume的Source从NetCat 和 Exec上采集数据到通过内存输出到控制台

这里memory也可以是file聚合，checkpointDir记录偏移量

# Use a channel which buffers events in memoryagent1.channels.channel1.type = fileagent1.channels.channel1.checkpointDir=/var/checkpoint agent1.channels.channel1.dataDirs=/var/tmpagent1.channels.channel1.capacity = 1000agent1.channels.channel1.transactionCapactiy = 100

这里采取memory配置文件：

a1.sources = r1 r2a1.sinks = k1a1.channels = c1a1.sources.r1.channels = c1a1.sources.r1.type = netcata1.sources.r1.bind = 0.0.0.0a1.sources.r1.port = 44444a1.sources.r2.channels = c1a1.sources.r2.type = execa1.sources.r2.command = tail -F /home/hadoop/data/data.log# Describe the sinka1.sinks.k1.type = logger# Use a channel which buffers events in memorya1.channels.c1.type = memorya1.channels.c1.capacity = 1000a1.channels.c1.transactionCapacity = 100# Bind the source and sink to the channela1.sources.r1.channels = c1a1.sources.r2.channels = c1a1.sinks.k1.channel = c1

测试结果：

[hadoop@hadoop001 ~]$ telnet localhost 44444Trying ::1...Connected to localhost.Escape character is '^]'.ZOURC123456789OK[hadoop@hadoop001 data]$ echo 123 >> data.log[hadoop@hadoop001 data]$

控制台输出结果：

2018-08-10 20:12:10,426 (SinkRunner-PollingRunner-DefaultSinkProcessor) [INFO - org.apache.flume.sink.LoggerSink.process(LoggerSink.java:94)] Event: { headers:{} body: 31 32 33                                        123 }2018-08-10 20:12:32,439 (SinkRunner-PollingRunner-DefaultSinkProcessor) [INFO - org.apache.flume.sink.LoggerSink.process(LoggerSink.java:94)] Event: { headers:{} body: 5A 4F 55 52 43 31 32 33 34 35 36 37 38 39 0D    ZOURC123456789. }

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