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Flume architecture and core components (1) Source collection responsible for where to collect data (2) Channel records (3) Sink output official documents

Http://flume.apache.org/FlumeUserGuide.html

Http://flume.apache.org/FlumeUserGuide.html#starting-an-agent

The idea of using Flume

The key to using flume is to write configuration files

(1) configure Source

(2) configure Channerl

(3) configure Sink

(4) string the above three components together

Example 1: collect data from a specified network port and output it to the console code: # example.conf: a single-node Flume configuration# Name the components on this agenta1.sources = r1a1.sinks = k1a1.channels = clocked Describe/configure the sourcea1.sources.r1.type = netcata1.sources.r1.bind = localhosta1.sources.r1.port = 4444 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 = 10 minutes Bind the source and sink to the channela1.sources.r1.channels = c1a1.sinks.k1.channel = C1 start agent

Http://flume.apache.org/FlumeUserGuide.html#starting-an-agent

$bin/flume-ng agent-n $agent_name-c conf-f conf/flume-conf.properties.template-Dflume.root.logger=INFO,console

-n and-name have the same meaning, and are agent names

-c and-conf have the same meaning, to specify a configuration file

-Dflume.root.logger=INFO,console outputs execution information in the console

Use telnet to test telnet localhost 44444 output analysis Event: {headers: {} body: 68 65 6c 6c 6f 0d hello}

Event is the basic unit of Flume data transmission.

Event = optional header + byte array

Example 2: monitor a file to collect the new data in real time and output it to the console Agent selection

Exec source + memory channel + logger sink

Exec Source document address

Http://flume.apache.org/FlumeUserGuide.html#exec-source

Code implementation # Name the components on this agenta1.sources = r1a1.sinks = k1a1.channels = centering Describe/configure the sourcea1.sources.r1.type = execa1.sources.r1.command = tail-F / var/log/test.loga1.sources.r1.shell = / bin/sh-c # 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 = 10cm Bind the source and sink to The channela1.sources.r1.channels = c1a1.sinks.k1.channel = C1 sample 3: real-time collection of A-side server logs to B-side server technology selection exec source + memory channel + avro sinkavro source + memory channel + logger sink code to achieve A-side server exec-memory-avro.sources = exec-sourceexec-memory-avro.sinks = avro-sinkexec-memory-avro.channels = memory-channelexec-memory-avro.sources.exec-source.type = execexec-memory-avro.sources. Exec-source.command = tail-F / home/hadoop/data/data.logexec-memory-avro.sources.exec-source.shell = / bin/sh-cexec-memory-avro.sinks.avro-sink.type = avroexec-memory-avro.sinks.avro-sink.hostname = hadoop000exec-memory-avro.sinks.avro-sink.port = 44444exec-memory-avro.channels.memory-channel.type = memoryexec-memory-avro.sources.exec-source.channels = memory-channelexec-memory-avro.sinks.avro-sink .channel = memory-channelB server avro-memory-logger.sources = avro-sourceavro-memory-logger.sinks = logger-sinkavro-memory-logger.channels = memory-channelavro-memory-logger.sources.avro-source.type = avroavro-memory-logger.sources.avro-source.bind = hadoop000avro-memory-logger.sources.avro-source.port = 44444avro-memory-logger.sinks.logger-sink.type = loggeravro-memory-logger.channels.memory-channel.type = memoryavro-memory-logger.sources.avro- Source.channels = memory-channelavro-memory-logger.sinks.logger-sink.channel = memory-channel

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