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添加 'flume.conf'

robert 3 år sedan
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      flume.conf

+ 73 - 0
flume.conf

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+a1.channels.c1.type = org.apache.flume.channel.kafka.KafkaChannel
+a1.channels.c1.kafka.bootstrap.servers = 10.26.22.124:8092,10.26.22.121:8092,10.26.22.120:8092,10.26.22.102:8092,10.26.22.122:8092
+a1.channels.c1.kafka.topic = api_searchlog_novel
+a1.channels.c1.kafka.consumer.group.id = flume2kafka
+# Define an Avro source called r1 on a1 and tell it
+# to bind to 0.0.0.0:41414. Connect it to channel c1.
+#注意这里分出2个channel出来,一个是到k1,一个到k2
+#如果这里只出一个channel c1的话,下面2个sink channel都为c1,则消息就会随机分到2个sink上,而不是2个sink都有一份
+a1.sources.r1.channels = c1
+a1.sources.r1.type = exec
+a1.sources.r1.command = tail -F /log/resin-books/words/access.log
+a1.sources.r1.restart = true
+a1.sources.r1.batchSize = 10000
+a1.sources.r1.interceptors = i1 i2 i3
+a1.sources.r1.interceptors.i1.type = timestamp
+a1.sources.r1.interceptors.i2.type = host
+a1.sources.r1.interceptors.i2.useIP = false
+a1.sources.r1.interceptors.i3.type = regex_filter
+a1.sources.r1.interceptors.i3.regex = ^\\s*$
+a1.sources.r1.interceptors.i3.excludeEvents = true
+#默认是replicationg,还有multiplexer
+#a1.sources.r1.selector.type = replicationg
+
+# Finally, now that we've defined all of our components, tell
+# a1 which ones we want to activate.
+a1.sources = r1 r2 r3
+a1.channels = c1 c2 c3 
+a1.sinks = 
+
+#########searchrecord apirs的BI统计搜索日志
+a1.channels.c2.type = org.apache.flume.channel.kafka.KafkaChannel
+a1.channels.c2.kafka.bootstrap.servers = 10.26.22.124:8092,10.26.22.121:8092,10.26.22.120:8092,10.26.22.102:8092,10.26.22.122:8092
+a1.channels.c2.kafka.topic = api_searchrecord_bi
+a1.channels.c2.kafka.consumer.group.id = flume2kafka
+# Define an Avro source called r1 on a1 and tell it
+#注意这里分出2个channel出来,一个是到k1,一个到k2
+#如果这里只出一个channel c1的话,下面2个sink channel都为c1,则消息就会随机分到2个sink上,而不是2个sink都有一份
+a1.sources.r2.channels = c2
+a1.sources.r2.type = exec
+a1.sources.r2.command = tail -F /log/resin-books/search/searchrecord.log
+a1.sources.r2.restart = true
+a1.sources.r2.batchSize = 10000
+a1.sources.r2.interceptors = i1 i2 i3
+a1.sources.r2.interceptors.i1.type = timestamp
+a1.sources.r2.interceptors.i2.type = host
+a1.sources.r2.interceptors.i2.useIP = false
+a1.sources.r2.interceptors.i3.type = regex_filter
+a1.sources.r2.interceptors.i3.regex = ^\\s*$
+a1.sources.r2.interceptors.i3.excludeEvents = true
+#默认是replicationg,还有multiplexer
+#a1.sources.r1.selector.type = replicationg
+
+#####bookincharge
+a1.channels.c3.type = org.apache.flume.channel.kafka.KafkaChannel
+a1.channels.c3.kafka.bootstrap.servers = 10.26.22.124:8092,10.26.22.121:8092,10.26.22.120:8092,10.26.22.102:8092,10.26.22.122:8092
+a1.channels.c3.kafka.topic = api_bookincharge_novel
+a1.channels.c3.kafka.consumer.group.id = flume2kafka
+# Define an Avro source called r1 on a1 and tell it
+# to bind to 0.0.0.0:41414. Connect it to channel c1.
+a1.sources.r3.channels = c3
+a1.sources.r3.type = exec
+a1.sources.r3.command = tail -F /data/log/bookincharge/bookincharge.log
+a1.sources.r3.restart = true
+a1.sources.r3.batchSize = 10000
+a1.sources.r3.interceptors = i1 i2 i3
+a1.sources.r3.interceptors.i1.type = timestamp
+a1.sources.r3.interceptors.i2.type = host
+a1.sources.r3.interceptors.i2.useIP = false
+a1.sources.r3.interceptors.i3.type = regex_filter
+a1.sources.r3.interceptors.i3.regex = ^\\s*$
+a1.sources.r3.interceptors.i3.excludeEvents = true
+#默认是replicationg,还有multiplexer
+#a1.sources.r2.selector.type = replicationg