agent 选型
A机器 exec source +memory channel +avro sink
B_1机器 avro source +memory channel +logger sink
B_2机器 avro source +memory channel +kafka sink
A服务器配置
exec-memory-avro.conf
# exec-memory-avro.conf: A single-node Flume configuration
# Name the components on this agent
exec-memory-avro.sources = exec-source
exec-memory-avro.sinks = avro-sink
exec-memory-avro.channels = memory-channel
# Describe/configure the source
exec-memory-avro.sources.exec-source.type = exec
exec-memory-avro.sources.exec-source.command=tail -f /data/data.log
exec-memory-avro.sources.exec-source.shell = /bin/bash -c
# Describe the sink
exec-memory-avro.sinks.avro-sink.type = avro
exec-memory-avro.sinks.avro-sink.hostname= 192.168.132.131
exec-memory-avro.sinks.avro-sink.port= 44444
# Use a channel which buffers events in memory
exec-memory-avro.channels.memory-channel.type = memory
exec-memory-avro.channels.memory-channel.capacity = 1000
exec-memory-avro.channels.memory-channel.transactionCapacity = 100
# Bind the source and sink to the channel
exec-memory-avro.sources.exec-source.channels = memory-channel
exec-memory-avro.sinks.avro-sink.channel = memory-channel
B_1服务器配置(logger输出版本)
avro-memory-logger.conf
# avro-memory-logger.conf: A single-node Flume configuration
# Name the components on this agent
avro-memory-logger.sources = avro-source
avro-memory-logger.sinks = logger-sink
avro-memory-logger.channels = memory-channel
# Describe/configure the source
avro-memory-logger.sources.avro-source.type = avro
avro-memory-logger.sources.avro-source.bind= 192.168.132.131
avro-memory-logger.sources.avro-source.port = 44444
# Describe the sink
avro-memory-logger.sinks.logger-sink.type = logger
# Use a channel which buffers events in memory
avro-memory-logger.channels.memory-channel.type = memory
avro-memory-logger.channels.memory-channel.capacity = 1000
avro-memory-logger.channels.memory-channel.transactionCapacity = 100
# Bind the source and sink to the channel
avro-memory-logger.sources.avro-source.channels = memory-channel
avro-memory-logger.sinks.logger-sink.channel = memory-channel
B_2服务器配置(kafka版本)
avro-memory-kafka.conf
# avro-memory-kafka.conf: A single-node Flume configuration
# Name the components on this agent
avro-memory-kafka.sources = avro-source
avro-memory-kafka.sinks = kafka-sink
avro-memory-kafka.channels = memory-channel
# Describe/configure the source
avro-memory-kafka.sources.avro-source.type = avro
avro-memory-kafka.sources.avro-source.bind = 192.168.132.131
avro-memory-kafka.sources.avro-source.port = 44444
# Describe the sink
avro-memory-kafka.sinks.kafka-sink.type = org.apache.flume.sink.kafka.KafkaSink
avro-memory-kafka.sinks.kafka-sink.brokerList = 192.168.132.131:9092
avro-memory-kafka.sinks.kafka-sink.topic = kingtest
avro-memory-kafka.sinks.kafka-sink.batchSize = 5
avro-memory-kafka.sinks.kafka-sink.requiredAcks = 1
# Use a channel which buffers events in memory
avro-memory-kafka.channels.memory-channel.type = memory
# Bind the source and sink to the channel
avro-memory-kafka.sources.avro-source.channels = memory-channel
avro-memory-kafka.sinks.kafka-sink.channel = memory-channel
启动语句
先启动B_1服务器：
flume-ng agent \
--name avro-memory-logger \
--conf $FLUME_HOME/conf \
--conf-file $FLUME_HOME/conf/avro-memory-logger.conf \
-Dflume.root.logger=INFO,console
或先启动B_2服务器：
flume-ng agent \
--name avro-memory-kafka \
--conf $FLUME_HOME/conf \
--conf-file $FLUME_HOME/conf/avro-memory-kafka.conf \
-Dflume.root.logger=INFO,console
然后启动A服务器：
flume-ng agent
--name exec-memory-avro \
--conf $FLUME_HOME/conf \
--conf-file $FLUME_HOME/conf/exec-memory-avro.conf \
-Dflume.root.logger=INFO,console
日志收集过程
1.机器A上监控一个文件，当我们访问主站时会有用户行为日志记录到access.log中
2.arvo sink把新产生的日志输出到对应的avro source 指定的hostname 和port 上
3.通过avro source 对应的agent将我们的日志输出到控制台/kafka