79 lines
1.9 KiB
Properties
79 lines
1.9 KiB
Properties
#管理kafka地址
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#bootstrap.servers=192.168.40.119:9092,192.168.40.122:9092,192.168.40.123:9092
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bootstrap.servers=192.168.40.151:9092
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#zookeeper 地址
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zookeeper.servers=192.168.40.151:2181
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#zookeeper.servers=192.168.40.119:2181,192.168.40.122:2181,192.168.40.123:2181
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#hbase zookeeper地址
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#hbase.zookeeper.servers=192.168.40.119:2181,192.168.40.122:2181,192.168.40.123:2181
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hbase.zookeeper.servers=192.168.40.151:2181
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#hbase tablename
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hbase.table.name=subscriber_info
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#latest/earliest
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auto.offset.reset=latest
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#kafka broker下的topic名称
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kafka.topic=SECURITY-EVENT-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=security-policy-200204
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#输出topic
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results.output.topic=SECURITY-EVENT-COMPLETED-LOG
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#storm topology workers
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topology.workers=1
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#spout并行度 建议与kafka分区数相同
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spout.parallelism=3
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#处理补全操作的bolt并行度-worker的倍数
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datacenter.bolt.parallelism=1
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#写入kafka的并行度10
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kafka.bolt.parallelism=3
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#定位库地址
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#ip.library=/home/ceiec/topology/dat/
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#ip.library=D:\\workerSpace\\K18-Phase2\\3.0.2019115\\log-stream-completion\\
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ip.library=D:\\dat\\
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#kafka批量条数
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batch.insert.num=2000
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#网关的schema位置
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schema.http=http://192.168.40.151:9999/metadata/schema/v1/fields/security_event_log
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#数据中心（UID）
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data.center.id.num=15
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#tick时钟频率
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topology.tick.tuple.freq.secs=5
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#hbase 更新时间
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hbase.tick.tuple.freq.secs=60
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#当bolt性能受限时，限制spout接收速度，理论看ack开启才有效
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topology.config.max.spout.pending=150000
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#ack设置 1启动ack 0不启动ack
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topology.num.acks=0
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#spout接收睡眠时间
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topology.spout.sleep.time=1
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#用于过滤对准用户名
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check.ip.scope=10,100,192
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#允许发送kafka最大失败数
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max.failure.num=20
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#influx地址
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influx.ip=http://192.168.40.151:8086
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#influx用户名
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influx.username=admin
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#influx密码
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influx.password=admin |