标签:aci conf 服务 tran kafka nbsp bootstra 取数 home
需求:采集8类日志数据,并且进入es展示:
方案制定:目前数据采集通用flume+kafka模式,所以采用原有模式,一类服务进入一个topic,然后通过logstash进行数据清洗,最后进入es进行展示。
flume采用tadir 读取数据源,memory 进行缓存,kafka进行sink
a1.sources = s1 s2 s3 s4 s5 s6 s7 s8 a1.channels = c1 c2 c3 c4 c5 c6 c7 c8 a1.sinks = k1 k2 k3 k4 k5 k6 k7 k8 a1.sources.s1.type = TAILDIR a1.sources.s1.filegroups = f1 f2 a1.sources.s1.filegroups.f1 = /home/es/.*.log a1.sources.s1.channels = c1 a1.sources.s2.type = TAILDIR a1.sources.s2.filegroups = f1 f2 a1.sources.s2.filegroups.f1 = /home/adm/.*.log a1.sources.s2.channels = c2 a1.sources.s3.type = TAILDIR a1.sources.s3.filegroups = f1 f2 a1.sources.s3.filegroups.f1 = /home/bas/.*.log a1.sources.s3.channels = c3 a1.sources.s4.type = TAILDIR a1.sources.s4.filegroups = f1 f2 a1.sources.s4.filegroups.f1 = /home/cha/.*.log a1.sources.s4.channels = c2 a1.sources.s5.type = TAILDIR a1.sources.s5.filegroups = f1 f2 a1.sources.s5.filegroups.f1 = /home/anog/.*.log a1.sources.s5.channels = c5 a1.sources.s6.type = TAILDIR a1.sources.s6.filegroups = f1 f2 a1.sources.s6.filegroups.f1 = /home/dip/es_okeano/3.27.20.38/config_log/.*.log a1.sources.s6.channels = c6 a1.sources.s7.type = TAILDIR a1.sources.s7.filegroups = f1 f2 a1.sources.s7.filegroups.f1 = /home/oau/.*.log a1.sources.s7.channels = c7 a1.sources.s8.type = TAILDIR a1.sources.s8.filegroups = f1 f2 a1.sources.s8.filegroups.f1 = /home/z/.*.log a1.sources.s8.channels = c8 a1.channels.c1.type = memory a1.channels.c1.capacity = 10000 a1.channels.c1.transactionCapacity = 1000 a1.channels.c2.type = memory a1.channels.c2.capacity = 10000 a1.channels.c2.transactionCapacity = 1000 a1.channels.c3.type = memory a1.channels.c3.capacity = 10000 a1.channels.c3.transactionCapacity = 1000 a1.channels.c4.type = memory a1.channels.c4.capacity = 10000 a1.channels.c4.transactionCapacity = 1000 a1.channels.c5.type = memory a1.channels.c5.capacity = 10000 a1.channels.c5.transactionCapacity = 1000 a1.channels.c6.type = memory a1.channels.c6.capacity = 10000 a1.channels.c6.transactionCapacity = 1000 a1.channels.c7.type = memory a1.channels.c7.capacity = 10000 a1.channels.c7.transactionCapacity = 1000 a1.channels.c8.type = memory a1.channels.c8.capacity = 10000 a1.channels.c8.transactionCapacity = 1000 a1.sinks.k1.channel = c1 a1.sinks.k1.type = org.apache.flume.sink.kafka.KafkaSink a1.sinks.k1.kafka.topic = ws_activity a1.sinks.k1.kafka.bootstrap.servers =172.56.10.23:9092 a1.sinks.k1.kafka.flumeBatchSize = 5 a1.sinks.k1.kafka.producer.acks = 1 a1.sinks.k2.channel = c2 a1.sinks.k2.type = org.apache.flume.sink.kafka.KafkaSink a1.sinks.k2.kafka.topic = ws_admin a1.sinks.k2.kafka.bootstrap.servers = 172.56.10.23:9092 a1.sinks.k2.kafka.flumeBatchSize = 5 a1.sinks.k2.kafka.producer.acks = 1 a1.sinks.k3.channel = c3 a1.sinks.k3.type = org.apache.flume.sink.kafka.KafkaSink a1.sinks.k3.kafka.topic = ws_authorization_oauth a1.sinks.k3.kafka.bootstrap.servers =172.56.10.23:9092 a1.sinks.k3.kafka.flumeBatchSize = 5 a1.sinks.k3.kafka.producer.acks = 1 a1.sinks.k4.channel = c4 a1.sinks.k4.type = org.apache.flume.sink.kafka.KafkaSink a1.sinks.k4.kafka.topic = ws_base a1.sinks.k4.kafka.bootstrap.servers =172.56.10.23:9092 a1.sinks.k4.kafka.flumeBatchSize = 5 a1.sinks.k4.kafka.producer.acks = 1 a1.sinks.k5.channel = c5 a1.sinks.k5.type = org.apache.flume.sink.kafka.KafkaSink a1.sinks.k5.kafka.topic = ws_channel a1.sinks.k5.kafka.bootstrap.servers =172.56.10.23:9092 a1.sinks.k5.kafka.flumeBatchSize = 5 a1.sinks.k5.kafka.producer.acks = 1 a1.sinks.k6.channel = c6 a1.sinks.k6.type = org.apache.flume.sink.kafka.KafkaSink a1.sinks.k6.kafka.topic = ws_config a1.sinks.k6.kafka.bootstrap.servers =172.56.10.23:9092 a1.sinks.k6.kafka.flumeBatchSize = 5 a1.sinks.k6.kafka.producer.acks = 1 a1.sinks.k7.channel = c7 a1.sinks.k7.type = org.apache.flume.sink.kafka.KafkaSink a1.sinks.k7.kafka.topic = ws_material a1.sinks.k7.kafka.bootstrap.servers =172.56.10.23:9092 a1.sinks.k7.kafka.flumeBatchSize = 5 a1.sinks.k7.kafka.producer.acks = 1 a1.sinks.k8.channel = c8 a1.sinks.k8.type = org.apache.flume.sink.kafka.KafkaSink a1.sinks.k8.kafka.topic = ws_zuul a1.sinks.k8.kafka.bootstrap.servers =172.56.10.23:9092 a1.sinks.k8.kafka.flumeBatchSize = 5 a1.sinks.k8.kafka.producer.acks = 1
标签:aci conf 服务 tran kafka nbsp bootstra 取数 home
原文地址:https://www.cnblogs.com/students/p/13196380.html