75 lines
2.1 KiB
Properties
75 lines
2.1 KiB
Properties
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#--------------------------------地址配置------------------------------#
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#管理kafka地址
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input.kafka.servers=192.168.44.11:9092,192.168.44.14:9092,192.168.44.15:9092
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#管理输出kafka地址
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output.kafka.servers=192.168.44.11:9092,192.168.44.14:9092,192.168.44.15:9092
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#zookeeper 地址 用于配置log_id
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zookeeper.servers=192.168.44.11:2181,192.168.44.14:2181,192.168.44.15:2181
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#hbase zookeeper地址 用于连接HBase
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hbase.zookeeper.servers=192.168.44.11:2181,192.168.44.14:2181,192.168.44.15:2181
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#--------------------------------HTTP/定位库------------------------------#
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#定位库地址
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ip.library=/home/bigdata/topology/dat/
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#网关的schema位置
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schema.http=http://192.168.44.67:9999/metadata/schema/v1/fields/connection_record_log
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#网关APP_ID 获取接口
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app.id.http=http://192.168.44.67:9999/open-api/appDicList
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#--------------------------------Kafka消费组信息------------------------------#
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#kafka 接收数据topic
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input.kafka.topic=CONNECTION-RECORD-LOG
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#补全数据 输出 topic
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output.kafka.topic=CONNECTION-RECORD-COMPLETED-LOG
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#读取topic,存储该spout id的消费offset信息，可通过该拓扑命名;具体存储offset的位置，确定下次读取不重复的数据；
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group.id=connection-record-flink-20210809
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#生产者压缩模式 none or snappy
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producer.kafka.compression.type=none
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#生产者ack
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producer.ack=1
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#接收自kafka的消费者 client-id
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consumer.client.id=consumer-connection-record
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#回写给kafka的生产者 client-id
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producer.client.id=producer-connection-record
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#--------------------------------topology配置------------------------------#
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#consumer 并行度
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consumer.parallelism=3
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#map函数并行度
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map.parallelism=3
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#producer 并行度
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producer.parallelism=3
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#数据中心，取值范围(0-63)
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data.center.id.num=0
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#hbase 更新时间，如填写0则不更新缓存
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hbase.tick.tuple.freq.secs=180
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#app_id 更新时间，如填写0则不更新缓存
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app.tick.tuple.freq.secs=0
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#--------------------------------默认值配置------------------------------#
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#邮件默认编码
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mail.default.charset=UTF-8
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#0不需要补全原样输出日志，1需要补全
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log.need.complete=1
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