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@@ -99,22 +99,12 @@ spec:
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port: 8080
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initialDelaySeconds: 40
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periodSeconds: 15
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- - image: hub.evbj.easou.com/dev/flume:1.7.0-2023081012
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+ - image: hub.evbj.easou.com/dev/flume:1.7.0-20230811
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imagePullPolicy: IfNotPresent
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name: flume
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volumeMounts:
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- name: volume #日志同时挂载在nginx和filebeat中
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mountPath: /data
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- - name: flume-config
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- mountPath: /app/soft/flume-1.7.0/conf/flume.conf
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- subPath: flume.conf
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- volumes:
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- - name: flume-config
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- configMap:
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- name: flume-config-realtime-yuewen-v2
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- items:
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- - key: flume.conf
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- path: flume.conf
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volumeClaimTemplates:
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- metadata:
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@@ -170,67 +160,3 @@ spec:
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port:
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number: 8080
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ingressClassName: nginx
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----
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-apiVersion: v1
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-kind: ConfigMap
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-metadata:
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- name: flume-config-realtime-yuewen-v2
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- namespace: pro
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-data:
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- flume.conf: |
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- a1.sources = r1
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- a1.channels = c1
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- a1.sinks =
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-
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- a1.sources.r1.type = com.github.ningg.flume.source.SpoolDirectoryTailFileSource
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- a1.sources.r1.channels = c1
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- a1.sources.r1.spoolDir = /data/logs/app/
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- a1.sources.r1.fileSuffix = .COMPLETED
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- a1.sources.r1.deletePolicy = never
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- a1.sources.r1.ignorePattern = ^$
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- a1.sources.r1.targetPattern = access.*(\\d){10}.*
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- a1.sources.r1.targetFilename = yyyyMMddHH
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- a1.sources.r1.trackerDir = .flumespooltail_earning
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- a1.sources.r1.consumeOrder = oldest
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- a1.sources.r1.bufferMaxLineLength = 500000
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- a1.sources.r1.inputCharset = UTF-8
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- a1.sources.r1.decodeErrorPolicy = REPLACE
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- a1.sources.r1.deserializer = LINE
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- a1.sources.r1.interceptors = i1 i2 i3 i4
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-
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- #配置 interceptor i1
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- a1.sources.r1.interceptors.i1.type = regex_filter
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- a1.sources.r1.interceptors.i1.regex = ^\\s*$
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- a1.sources.r1.interceptors.i1.excludeEvents = true
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- #配置 interceptor i2
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- a1.sources.r1.fileHeader = true
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- a1.sources.r1.basenameHeader = true
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- a1.sources.r1.interceptors.i2.type = com.easou.flume.interceptor.RegexExtractorExtInterceptor$Builder
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- a1.sources.r1.interceptors.i2.regex = (.*)\\.(.*)\\.(.*)
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- a1.sources.r1.interceptors.i2.extractorHeader = true
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- a1.sources.r1.interceptors.i2.extractorHeaderKey = basename
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- a1.sources.r1.interceptors.i2.serializers = s1 s2 s3
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- a1.sources.r1.interceptors.i2.serializers.s1.name = log_type
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- a1.sources.r1.interceptors.i2.serializers.s2.name = file_type
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- a1.sources.r1.interceptors.i2.serializers.s3.name = log_data
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- #配置 interceptor i3
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- a1.sources.r1.interceptors.i3.type=com.easou.flume.interceptor.ServerTimeInterceptor$Builder
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- a1.sources.r1.interceptors.i3.isServerTime=true
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- a1.sources.r1.interceptors.i3.timeType=yyyyMMddHHmmss
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- #配置 interceptor i4
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- a1.sources.r1.interceptors.i4.type = timestamp
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-
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-
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- a1.channels.c1.type = org.apache.flume.channel.kafka.KafkaChannel
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- a1.channels.c1.kafka.bootstrap.servers = 10.26.27.71:8092,10.26.22.102:8092,10.26.22.120:8092,10.26.22.121:8092,10.26.22.122:8092
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- a1.channels.c1.kafka.topic = yuewen_buydetail
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- # 开启kafka幂等性,保证重试不会产生数据重复
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- a1.channels.c1.kafka.producer.enable.idempotence = true
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- a1.channels.c1.kafka.producer.acks = all
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- a1.channels.c1.kafka.producer.max.in.flight.requests.per.connection = 1
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- # 重试 20次,每次超时30秒,一次发送数据最长约10分钟。尽量保证kafka不报异常,因为异常后flumesource会重试,导致数据重复
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- a1.channels.c1.kafka.producer.retries = 20
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- a1.channels.c1.kafka.producer.request.timeout.ms = 30000
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- a1.channels.c1.kafka.consumer.group.id = integral2kafka
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