galaxy-tsg-olap-storm-log-stream-completion/properties/service_flow_config.properties

#管理kafka地址
#bootstrap.servers=192.168.40.119:9092,192.168.40.122:9092,192.168.40.123:9092
bootstrap.servers=192.168.40.151:9092

#zookeeper 地址
zookeeper.servers=192.168.40.151:2181
#zookeeper.servers=192.168.40.119:2181,192.168.40.122:2181,192.168.40.123:2181

#hbase zookeeper地址
#hbase.zookeeper.servers=192.168.40.119:2181,192.168.40.122:2181,192.168.40.123:2181
hbase.zookeeper.servers=192.168.40.151:2181

#hbase tablename
hbase.table.name=subscriber_info

#latest/earliest
auto.offset.reset=latest

#kafka broker下的topic名称
kafka.topic=SECURITY-EVENT-LOG

#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；
group.id=security-policy-200204

#输出topic
results.output.topic=SECURITY-EVENT-COMPLETED-LOG

#storm topology workers
topology.workers=1

#spout并行度 建议与kafka分区数相同
spout.parallelism=3

#处理补全操作的bolt并行度-worker的倍数
datacenter.bolt.parallelism=1

#写入kafka的并行度10
kafka.bolt.parallelism=3

#定位库地址
#ip.library=/home/ceiec/topology/dat/
#ip.library=D:\\workerSpace\\K18-Phase2\\3.0.2019115\\log-stream-completion\\
ip.library=D:\\dat\\
#kafka批量条数
batch.insert.num=2000
#网关的schema位置
schema.http=http://192.168.40.151:9999/metadata/schema/v1/fields/security_event_log
#数据中心（UID）
data.center.id.num=15

#tick时钟频率
topology.tick.tuple.freq.secs=5

#hbase 更新时间
hbase.tick.tuple.freq.secs=60

#当bolt性能受限时，限制spout接收速度，理论看ack开启才有效
topology.config.max.spout.pending=150000

#ack设置 1启动ack 0不启动ack
topology.num.acks=0

#spout接收睡眠时间
topology.spout.sleep.time=1

#用于过滤对准用户名
check.ip.scope=10,100,192

#允许发送kafka最大失败数
max.failure.num=20

#influx地址
influx.ip=http://192.168.40.151:8086

#influx用户名
influx.username=admin

#influx密码
influx.password=admin