删除syslog-consumer-rule 模块的 target 编译生成目录

2026-05-28 15:14:41 +08:00
parent a168f74653
commit c80079ccf6
227 changed files with 0 additions and 4630 deletions
@@ -1,129 +0,0 @@
 #Server Configuration
 server.port=8289
 server.servlet.context-path=/xdrrule
 #server.address=0.0.0.0
 server.tomcat.uri-encoding=UTF-8
 server.error.include-message=always
 server.error.include-binding-errors=always
 #run.environment:  dev|test|pro
 server.run.environment=dev
 # Syslog Server Configuration
 syslog.tcp.port=514
 syslog.udp.port=514
 syslog.max.frame.length=65536
 syslog.buffer.size=1000
 syslog.sm4.generateKey=f79548ab6fa8a304fc0115e17230358a
 # InfluxDB 2.7 Configuration
 influxdb.url=http://192.168.222.131:8086
 influxdb.token=3Tvu-IZWtaY03UDkbUDlufD0kxn85keo9LhYQcv2Cxk0LJmXqqHkNVrO664DbaJAYwoGI7UIg904KqZC7Q_ZFA==
 influxdb.org=yelang
 influxdb.bucket=yelangbucket
 influxdb.batch.size=1000
 influxdb.flush.interval=1000
 influxdb.retry.attempts=3
 influxdb.retry.delay=1000
 # InfluxDB 2.7 连接超时配置
 influxdb.connection.timeout=30s
 influxdb.connection.read-timeout=30s
 influxdb.connection.write-timeout=60s
 # Application Configuration
 app.worker.threads=8
 app.max.queue.size=10000
 app.metrics.enabled=true
 #database Configuration
 spring.datasource.url=jdbc:postgresql://117.72.68.72:54329/ecosys
 spring.datasource.username=postgres
 spring.datasource.password=TnLanWaidYSwTSG5
 spring.datasource.driver-class-name=org.postgresql.Driver
 # mybatis Configuration
 mybatis.mapper-locations=classpath:mapper/*.xml
 mybatis.type-aliases-package=com.common.entity
 #mybatis handler 类
 mybatis.configuration.default-statement-timeout=30
 mybatis.configuration.default-fetch-size=1000
 mybatis.configuration.map-underscore-to-camel-case=true
 mybatis.type-handlers-package=com.Modules.etl.handler
 mybatis-plus.configuration.map-underscore-to-camel-case=true
 mybatis-plus.type-handlers-package=com.Modules.etl.handler
 # kafka Configuration
 spring.kafka.consumer.bootstrap-servers=192.168.222.130:9092
 spring.kafka.consumer.group-id=agent-syslog-group
 spring.kafka.consumer.auto-offset-reset=latest
 spring.kafka.consumer.enable-auto-commit=false 
 spring.kafka.consumer.auto-commit-interval=1000
 spring.kafka.consumer.topic=agent-syslog-topic
 spring.kafka.consumer.max-poll-records=1000
 spring.kafka.consumer.properties.max.poll.interval.ms=300000
 spring.kafka.consumer.properties.session.timeout.ms=45000
 #spring.kafka.consumer.key-deserializer: org.apache.kafka.common.serialization.StringDeserializer
 #spring.kafka.consumer.value-deserializer: org.apache.kafka.common.serialization.StringDeserializer
 spring.kafka.consumer.fetch-min-size= 1048576
 spring.kafka.listener.ack-mode= manual
 spring.kafka.listener.concurrency= 2  
 spring.kafka.listener.type=batch
 # 定时任务配置
 spring.task.scheduling.pool.size=10
 # 日志配置
 logging.level.com.common.schedule=INFO
 logging.level.com.common.service=INFO
 # 分区表检查配置
 partition.check.tomorrow.enabled=true
 partition.check.future.days=7
 partition.auto.create=true
 # 开发环境缓存配置
 spring.redis.host=localhost
 spring.redis.port=6379
 # 密码（如果没有设置密码，可以省略）
 spring.redis.password=
 spring.redis.database=0
 spring.redis.timeout=2000
 spring.redis.lettuce.pool.max-active=8
 spring.redis.lettuce.pool.max-wait=-1
 spring.redis.lettuce.pool.max-idle=8
 spring.redis.lettuce.pool.min-idle=0
 # 开发环境缓存时间较短，方便调试
 spring.cache.redis.time-to-live=600000
 # 应用处理器配置
 app.processor.thread-pool.core-pool-size=10
 app.processor.thread-pool.max-pool-size=20
 app.processor.thread-pool.queue-capacity=2000
 app.processor.thread-pool.keep-alive-seconds=60
 app.processor.batch-size=100
 app.processor.process-timeout-ms=30000
 # ETL配置
 etl.batch.page-size=1000
 etl.batch.insert-batch-size=500
 etl.schedule.cron=0 0 2 * * ?
 # ============================================
 # HikariCP Connection Pool Configuration
 # ============================================
 spring.datasource.hikari.maximum-pool-size=50
 spring.datasource.hikari.minimum-idle=5
 spring.datasource.hikari.connection-timeout=30000
 spring.datasource.hikari.idle-timeout=600000
 spring.datasource.hikari.max-lifetime=900000
 spring.datasource.hikari.connection-test-query=SELECT 1
 spring.datasource.hikari.validation-timeout=5000
 spring.datasource.hikari.leak-detection-threshold=30000          
 spring.datasource.hikari.pool-name=HikariPool-SyslogConsumer-rule
 spring.datasource.hikari.auto-commit=false
 spring.datasource.hikari.schema=public
@@ -1,188 +0,0 @@
 #Server Configuration
 server.port=8289
 server.servlet.context-path=/xdrrule
 #server.address=0.0.0.0
 server.tomcat.uri-encoding=UTF-8
 server.error.include-message=always
 server.error.include-binding-errors=always
 #run.environment:  dev|test|pro
 server.run.environment=pro
 # Syslog Server Configuration
 syslog.tcp.port=514
 syslog.udp.port=514
 syslog.max.frame.length=65536
 syslog.buffer.size=1000
 syslog.sm4.generateKey=f79548ab6fa8a304fc0115e17230358a
 # InfluxDB 2.7 Configuration
 influxdb.url=http://10.150 81.211:8087
 influxdb.token=LFjXZyRxTf1V84oN-wwjhSjS4qIK-ZMoHzQJB67ir3qHNSBVJbMcTkPuNmM0cNxvzFEDWLYNzrz1VJKMitY5hw==
 influxdb.org=influxdb
 influxdb.bucket=yelangbucket
 influxdb.batch.size=1000
 influxdb.flush.interval=1000
 influxdb.retry.attempts=3
 influxdb.retry.delay=1000
 # InfluxDB 2.7 连接超时配置
 influxdb.connection.timeout=30s
 influxdb.connection.read-timeout=30s
 influxdb.connection.write-timeout=60s
 # Application Configuration
 app.worker.threads=8
 app.max.queue.size=10000
 app.metrics.enabled=true
 #database Configuration
 spring.datasource.url=jdbc:postgresql://10.150 81.209:5432/ecosys
 spring.datasource.username=postgres
 spring.datasource.password=caZ2TcmXNSW8L2Ap
 spring.datasource.driver-class-name=org.postgresql.Driver
 # mybatis Configuration
 mybatis.mapper-locations=classpath:mapper/*.xml
 mybatis.type-aliases-package=com.common.entity
 #mybatis handler 类
 mybatis.configuration.default-statement-timeout=30
 mybatis.configuration.default-fetch-size=1000
 mybatis.configuration.map-underscore-to-camel-case=true
 mybatis.type-handlers-package=com.Modules.etl.handler
 mybatis-plus.configuration.map-underscore-to-camel-case=true
 mybatis-plus.type-handlers-package=com.Modules.etl.handler
 # kafka Configuration
 spring.kafka.consumer.bootstrap-servers=10.150 81.211:9092
 spring.kafka.consumer.group-id=agent-syslog-group
 spring.kafka.consumer.auto-offset-reset=latest
 spring.kafka.consumer.enable-auto-commit=false 
 spring.kafka.consumer.auto-commit-interval=1000
 spring.kafka.consumer.topic=agent-syslog-topic
 spring.kafka.consumer.max-poll-records=1000
 spring.kafka.consumer.properties.max.poll.interval.ms=300000
 spring.kafka.consumer.properties.session.timeout.ms=45000
 spring.kafka.consumer.fetch-min-size= 1048576
 spring.kafka.listener.ack-mode= manual
 spring.kafka.listener.concurrency= 2  
 spring.kafka.listener.type=batch
 # 定时任务配置
 spring.task.scheduling.pool.size=10
 # 日志配置
 logging.level.com.common.schedule=INFO
 logging.level.com.common.service=INFO
 # 分区表检查配置
 partition.check.tomorrow.enabled=true
 partition.check.future.days=7
 partition.auto.create=true
 # 生产环境缓存配置
 spring.redis.host=192.168.4.26
 spring.redis.port=6379
 # 密码（如果没有设置密码，可以省略）
 spring.redis.password=123456
 spring.redis.database=0
 spring.redis.timeout=5000
 #spring.redis.password=${REDIS_PASSWORD:default_prod_password}
 spring.redis.lettuce.pool.max-active=20
 spring.redis.lettuce.pool.max-wait=5000
 spring.redis.lettuce.pool.max-idle=10
 spring.redis.lettuce.pool.min-idle=5
 # 生产环境缓存时间较长
 spring.cache.redis.time-to-live=3600000
 # 应用处理器配置
 app.processor.thread-pool.core-pool-size=10
 app.processor.thread-pool.max-pool-size=20
 app.processor.thread-pool.queue-capacity=2000
 app.processor.thread-pool.keep-alive-seconds=60
 app.processor.batch-size=100
 app.processor.process-timeout-ms=30000
 # 配置 Elasticsearch
 # Elasticsearch连接地址
 spring.elasticsearch.uris=http://192.168.1.174:9200
 # 配置 Elasticsearch 用户名
 spring.elasticsearch.username=CONTAINER_NAME
 # 配置 Elasticsearch 密码
 spring.elasticsearch.password=t2NZCiajmdazxBrF
 # 连接超时时间
 spring.elasticsearch.connection-timeout=10s
 # Socket 超时时间
 spring.elasticsearch.socket-timeout=30s
 # ETL配置
 etl.batch.page-size=1000
 etl.batch.insert-batch-size=500
 etl.schedule.cron=0 0 2 * * ?
 # ============================================
 # HikariCP Connection Pool Configuration
 # ============================================
 spring.datasource.hikari.maximum-pool-size=50
 spring.datasource.hikari.minimum-idle=5
 spring.datasource.hikari.connection-timeout=30000
 spring.datasource.hikari.idle-timeout=600000
 spring.datasource.hikari.max-lifetime=900000
 spring.datasource.hikari.connection-test-query=SELECT 1
 spring.datasource.hikari.validation-timeout=5000
 spring.datasource.hikari.leak-detection-threshold=30000          
 spring.datasource.hikari.pool-name=HikariPool-SyslogConsumer
 spring.datasource.hikari.auto-commit=false
 spring.datasource.hikari.schema=public
 # 关联分析规则配置
 analysis.realtime.enabled= true
 # 检查间隔（秒） - 默认10秒
 analysis.realtime.check-interval-seconds: 10
 # ============================================
 # 探针联动API配置
 # ============================================
 # API-KEY认证（32位，建议使用随机生成的密钥）
 interlocking.api-key=a1b2c3d4e5f6g7h8i9j0k1l2m3n4o5p6
 # API接口基础URL（供syslog-serve调用）
 interlocking.api.base-url=http://10.150 81.210:8089/xdrservice/interlocking
 # ============================================
 # 告警健康检查配置
 # ============================================
 # 告警表无数据阈值（小时）
 alarm.health-check.alarm-hours=2
 # 告警日志表无数据阈值（小时）
 alarm.health-check.alarm-visit-hours=4
 # 是否启用定时巡检
 alarm.health-check.enabled=true
 # ============================================
 # 探针心跳检测配置
 # ============================================
 # 是否启用心跳检测
 probe.heartbeat.enabled=true
 # 探针离线阈值（分钟），超过此时间未收到心跳则判定为离线
 probe.heartbeat.offline-threshold-minutes=10
 # 状态检查Cron表达式（默认每10分钟）
 probe.status.check.cron=0 */10 * * * ?
 # 探针租户ID
 probe.heartbeat.tenant-id=000000
 # 心跳历史保留天数
 probe.heartbeat.history.keep-days=10
 # 是否启用历史清理
 probe.heartbeat.history.cleanup-enabled=true
 # 历史清理Cron表达式（默认每天凌晨1点）
 probe.history.cleanup.cron=0 0 1 * * ?
@@ -1,151 +0,0 @@
 #Server Configuration  [zhongcheng]
 server.port=8089
 server.servlet.context-path=/xdrservice
 #server.address=0.0.0.0
 server.tomcat.uri-encoding=UTF-8
 server.error.include-message=always
 server.error.include-binding-errors=always
 #run.environment:  dev|test|prod
 server.run.environment=prod
 # Syslog Server Configuration
 syslog.tcp.port=514
 syslog.udp.port=514
 syslog.max.frame.length=65536
 syslog.buffer.size=1000
 # InfluxDB 2.7 Configuration
 influxdb.url=http://10.11.2.141:8087
 influxdb.token=_dTKzcUbYIKSo5jvLVExYki1L4wyuRKsm5XxB90CqYBzgu7GpQD-VCB4cHSd9XOhVQIBl5ke-XaL82JHsogW7Q==
 influxdb.org=influxdb
 influxdb.bucket=yelangbucket
 influxdb.batch.size=1000
 influxdb.flush.interval=1000
 influxdb.retry.attempts=3
 influxdb.retry.delay=1000
 # InfluxDB 2.7 连接超时配置
 influxdb.connection.timeout=30s
 influxdb.connection.read-timeout=30s
 influxdb.connection.write-timeout=60s
 # Application Configuration
 app.worker.threads=8
 app.max.queue.size=10000
 app.metrics.enabled=true
 #database Configuration
 spring.datasource.url=jdbc:postgresql://10.11.2.141:5432/ecosys
 spring.datasource.username=ecosys
 spring.datasource.password=wsYDPjrpNZPrkPrR
 spring.datasource.driver-class-name=org.postgresql.Driver
 # mybatis Configuration
 mybatis.mapper-locations=classpath:mapper/*.xml
 mybatis.type-aliases-package=com.common.entity
 #mybatis handler 类
 mybatis.configuration.default-statement-timeout=30
 mybatis.configuration.default-fetch-size=1000
 mybatis.configuration.map-underscore-to-camel-case=true
 mybatis.type-handlers-package=com.Modules.etl.handler
 mybatis-plus.configuration.map-underscore-to-camel-case=true
 mybatis-plus.type-handlers-package=com.Modules.etl.handler
 # kafka Configuration
 spring.kafka.consumer.bootstrap-servers=10.11.2.142:9092
 spring.kafka.consumer.group-id=agent-syslog-group
 spring.kafka.consumer.auto-offset-reset=latest
 spring.kafka.consumer.enable-auto-commit=false
 spring.kafka.consumer.auto-commit-interval=1000
 spring.kafka.consumer.topic=agent-syslog-topic
 spring.kafka.consumer.max-poll-records=1000
 spring.kafka.consumer.properties.max.poll.interval.ms=300000
 spring.kafka.consumer.properties.session.timeout.ms=45000
 #spring.kafka.consumer.key-deserializer: org.apache.kafka.common.serialization.StringDeserializer
 #spring.kafka.consumer.value-deserializer: org.apache.kafka.common.serialization.StringDeserializer
 spring.kafka.consumer.fetch-min-size= 1048576
 spring.kafka.listener.ack-mode= manual
 spring.kafka.listener.concurrency= 2  
 spring.kafka.listener.type=batch
 # 定时任务配置
 spring.task.scheduling.pool.size=10
 # 日志配置
 logging.level.com.common.schedule=INFO
 logging.level.com.common.service=INFO
 # 分区表检查配置
 partition.check.tomorrow.enabled=true
 partition.check.future.days=7
 partition.auto.create=true
 # 生产环境缓存配置
 spring.redis.host=10.11.2.142
 spring.redis.port=6379
 # 密码（如果没有设置密码，可以省略）
 spring.redis.password=redis_edP6N6
 spring.redis.database=0
 spring.redis.timeout=5000
 #spring.redis.password=${REDIS_PASSWORD:default_prod_password}
 spring.redis.lettuce.pool.max-active=20
 spring.redis.lettuce.pool.max-wait=5000
 spring.redis.lettuce.pool.max-idle=10
 spring.redis.lettuce.pool.min-idle=5
 # 生产环境缓存时间较长
 spring.cache.redis.time-to-live=3600000
 # 应用处理器配置
 app.processor.thread-pool.core-pool-size=10
 app.processor.thread-pool.max-pool-size=20
 app.processor.thread-pool.queue-capacity=2000
 app.processor.thread-pool.keep-alive-seconds=60
 app.processor.batch-size=100
 app.processor.process-timeout-ms=30000
 # 配置 Elasticsearch
 # Elasticsearch连接地址
 spring.elasticsearch.uris=http://192.168.1.174:9200
 # 配置 Elasticsearch 用户名
 spring.elasticsearch.username=CONTAINER_NAME
 # 配置 Elasticsearch 密码
 spring.elasticsearch.password=t2NZCiajmdazxBrF
 # 连接超时时间
 spring.elasticsearch.connection-timeout=10s
 # Socket 超时时间
 spring.elasticsearch.socket-timeout=30s
 # ETL配置
 etl.batch.page-size=1000
 etl.batch.insert-batch-size=500
 etl.schedule.cron=0 0 2 * * ?
 # ============================================
 # HikariCP Connection Pool Configuration
 # ============================================
 spring.datasource.hikari.maximum-pool-size=50
 spring.datasource.hikari.minimum-idle=5
 spring.datasource.hikari.connection-timeout=30000
 spring.datasource.hikari.idle-timeout=600000
 spring.datasource.hikari.max-lifetime=900000
 spring.datasource.hikari.connection-test-query=SELECT 1
 spring.datasource.hikari.validation-timeout=5000
 spring.datasource.hikari.leak-detection-threshold=30000          
 spring.datasource.hikari.pool-name=HikariPool-SyslogConsumer
 spring.datasource.hikari.auto-commit=false
 spring.datasource.hikari.schema=public
 # 关联分析规则配置
 analysis.realtime.enabled= true
 # 检查间隔（秒） - 默认10秒
 analysis.realtime.check-interval-seconds: 10
@@ -1,129 +0,0 @@
 #Server Configuration
 server.port=8289
 server.servlet.context-path=/xdrrule
 #server.address=0.0.0.0
 server.tomcat.uri-encoding=UTF-8
 server.error.include-message=always
 server.error.include-binding-errors=always
 #run.environment:  dev|test|pro
 server.run.environment=pro
 # Syslog Server Configuration
 syslog.tcp.port=514
 syslog.udp.port=514
 syslog.max.frame.length=65536
 syslog.buffer.size=1000
 syslog.sm4.generateKey=f79548ab6fa8a304fc0115e17230358a
 # InfluxDB 2.7 Configuration
 influxdb.url=http://192.168.4.26:8087
 influxdb.token=LFjXZyRxTf1V84oN-wwjhSjS4qIK-ZMoHzQJB67ir3qHNSBVJbMcTkPuNmM0cNxvzFEDWLYNzrz1VJKMitY5hw==
 influxdb.org=influxdb
 influxdb.bucket=yelangbucket
 influxdb.batch.size=1000
 influxdb.flush.interval=1000
 influxdb.retry.attempts=3
 influxdb.retry.delay=1000
 # InfluxDB 2.7 连接超时配置
 influxdb.connection.timeout=30s
 influxdb.connection.read-timeout=30s
 influxdb.connection.write-timeout=60s
 # Application Configuration
 app.worker.threads=8
 app.max.queue.size=10000
 app.metrics.enabled=true
 #database Configuration
 spring.datasource.url=jdbc:postgresql://192.168.4.26:5432/ecosys
 spring.datasource.username=postgres
 spring.datasource.password=caZ2TcmXNSW8L2Ap
 spring.datasource.driver-class-name=org.postgresql.Driver
 # mybatis Configuration
 mybatis.mapper-locations=classpath:mapper/*.xml
 mybatis.type-aliases-package=com.common.entity
 #mybatis handler 类
 mybatis.configuration.default-statement-timeout=30
 mybatis.configuration.default-fetch-size=1000
 mybatis.configuration.map-underscore-to-camel-case=true
 mybatis.type-handlers-package=com.Modules.etl.handler
 mybatis-plus.configuration.map-underscore-to-camel-case=true
 mybatis-plus.type-handlers-package=com.Modules.etl.handler
 # kafka Configuration
 spring.kafka.consumer.bootstrap-servers=192.168.4.26:9092
 spring.kafka.consumer.group-id=agent-01-syslog-group
 spring.kafka.consumer.auto-offset-reset=latest
 spring.kafka.consumer.enable-auto-commit=false 
 spring.kafka.consumer.auto-commit-interval=1000
 spring.kafka.consumer.topic=agent-01-syslog-topic
 spring.kafka.consumer.max-poll-records=1000
 spring.kafka.consumer.properties.max.poll.interval.ms=300000
 spring.kafka.consumer.properties.session.timeout.ms=45000
 spring.kafka.consumer.fetch-min-size= 1048576
 spring.kafka.listener.ack-mode= manual
 spring.kafka.listener.concurrency= 2  
 spring.kafka.listener.type=batch
 # 定时任务配置
 spring.task.scheduling.pool.size=10
 # 日志配置
 logging.level.com.common.schedule=INFO
 logging.level.com.common.service=INFO
 # 分区表检查配置
 partition.check.tomorrow.enabled=true
 partition.check.future.days=7
 partition.auto.create=true
 # 生产环境缓存配置
 spring.redis.host=192.168.4.26
 spring.redis.port=6379
 # 密码（如果没有设置密码，可以省略）
 spring.redis.password=123456
 spring.redis.database=0
 spring.redis.timeout=5000
 #spring.redis.password=${REDIS_PASSWORD:default_prod_password}
 spring.redis.lettuce.pool.max-active=20
 spring.redis.lettuce.pool.max-wait=5000
 spring.redis.lettuce.pool.max-idle=10
 spring.redis.lettuce.pool.min-idle=5
 # 生产环境缓存时间较长
 spring.cache.redis.time-to-live=3600000
 # 应用处理器配置
 app.processor.thread-pool.core-pool-size=10
 app.processor.thread-pool.max-pool-size=20
 app.processor.thread-pool.queue-capacity=2000
 app.processor.thread-pool.keep-alive-seconds=60
 app.processor.batch-size=100
 app.processor.process-timeout-ms=30000
 # ETL配置
 etl.batch.page-size=1000
 etl.batch.insert-batch-size=500
 etl.schedule.cron=0 0 2 * * ?
 # ============================================
 # HikariCP Connection Pool Configuration
 # ============================================
 spring.datasource.hikari.maximum-pool-size=50
 spring.datasource.hikari.minimum-idle=5
 spring.datasource.hikari.connection-timeout=30000
 spring.datasource.hikari.idle-timeout=600000
 spring.datasource.hikari.max-lifetime=900000
 spring.datasource.hikari.connection-test-query=SELECT 1
 spring.datasource.hikari.validation-timeout=5000
 spring.datasource.hikari.leak-detection-threshold=30000          
 spring.datasource.hikari.pool-name=HikariPool-SyslogConsumer
 spring.datasource.hikari.auto-commit=false
 spring.datasource.hikari.schema=public
@@ -1,85 +0,0 @@
 #Server Configuration
 server.port=8089
 server.servlet.context-path=/xdrservice
 #server.address=0.0.0.0
 server.tomcat.uri-encoding=UTF-8
 server.error.include-message=always
 server.error.include-binding-errors=always
 #run.environment:  dev|test|pro
 server.run.environment=test
 # Syslog Server Configuration
 syslog.tcp.port=514
 syslog.udp.port=514
 syslog.max.frame.length=65536
 syslog.buffer.size=1000
 # InfluxDB 2.7 Configuration
 influxdb.url=http://192.168.4.32:8087
 influxdb.token=53sfHaJOmBnrWxVhsZ4SzfiguSkTxYeqXR1cXgt4Q4zan43LcbXw7JOKmOOOWMppNQv6TDNyW1RVctqr5sslzw==
 influxdb.org=influxdb
 influxdb.bucket=yelangbucket
 influxdb.batch.size=1000
 influxdb.flush.interval=1000
 influxdb.retry.attempts=3
 influxdb.retry.delay=1000
 # Application Configuration
 app.worker.threads=8
 app.max.queue.size=10000
 app.metrics.enabled=true
 #database Configuration
 spring.datasource.url=jdbc:postgresql://192.168.4.32:5432/ecosys
 spring.datasource.username=user_eSER8N
 spring.datasource.password=password_QCYKj6
 spring.datasource.driver-class-name=org.postgresql.Driver
 # mybatis Configuration
 mybatis.mapper-locations=classpath:mapper/*.xml
 mybatis.type-aliases-package=com.common.entity
 mybatis.configuration.map-underscore-to-camel-case=true
 mybatis-plus.configuration.map-underscore-to-camel-case=true
 mybatis-plus.type-handlers-package=com.Modules.etl.handler
 # kafka Configuration
 spring.kafka.consumer.bootstrap-servers=192.168.4.32:9092
 spring.kafka.consumer.group-id=agent-syslog-group
 spring.kafka.consumer.auto-offset-reset=latest
 spring.kafka.consumer.enable-auto-commit=true
 spring.kafka.consumer.auto-commit-interval=1000
 spring.kafka.consumer.topic=agent-syslog-topic
 # 定时任务配置
 spring.task.scheduling.pool.size=10
 # 日志配置
 logging.level.com.common.schedule=INFO
 logging.level.com.common.service=INFO
 # 分区表检查配置
 partition.check.tomorrow.enabled=true
 partition.check.future.days=7
 partition.auto.create=true
 # 生产环境缓存配置
 spring.redis.host=192.168.4.32
 spring.redis.port=6379
 # 密码（如果没有设置密码，可以省略）
 spring.redis.password=redis_edP6N6
 spring.redis.database=0
 spring.redis.timeout=5000
 #spring.redis.password=${REDIS_PASSWORD:default_prod_password}
 spring.redis.lettuce.pool.max-active=20
 spring.redis.lettuce.pool.max-wait=5000
 spring.redis.lettuce.pool.max-idle=10
 spring.redis.lettuce.pool.min-idle=5
 # 生产环境缓存时间较长
 spring.cache.redis.time-to-live=3600000
@@ -1,129 +0,0 @@
 #Server Configuration
 server.port=8289
 server.servlet.context-path=/xdrrule
 #server.address=0.0.0.0
 server.tomcat.uri-encoding=UTF-8
 server.error.include-message=always
 server.error.include-binding-errors=always
 #run.environment:  dev|test|pro
 server.run.environment=pro
 # Syslog Server Configuration
 syslog.tcp.port=514
 syslog.udp.port=514
 syslog.max.frame.length=65536
 syslog.buffer.size=1000
 syslog.sm4.generateKey=f79548ab6fa8a304fc0115e17230358a
 # InfluxDB 2.7 Configuration
 influxdb.url=http://192.168.4.26:8087
 influxdb.token=LFjXZyRxTf1V84oN-wwjhSjS4qIK-ZMoHzQJB67ir3qHNSBVJbMcTkPuNmM0cNxvzFEDWLYNzrz1VJKMitY5hw==
 influxdb.org=influxdb
 influxdb.bucket=yelangbucket
 influxdb.batch.size=1000
 influxdb.flush.interval=1000
 influxdb.retry.attempts=3
 influxdb.retry.delay=1000
 # InfluxDB 2.7 连接超时配置
 influxdb.connection.timeout=30s
 influxdb.connection.read-timeout=30s
 influxdb.connection.write-timeout=60s
 # Application Configuration
 app.worker.threads=8
 app.max.queue.size=10000
 app.metrics.enabled=true
 #database Configuration
 spring.datasource.url=jdbc:postgresql://192.168.4.26:5432/ecosys
 spring.datasource.username=postgres
 spring.datasource.password=caZ2TcmXNSW8L2Ap
 spring.datasource.driver-class-name=org.postgresql.Driver
 # mybatis Configuration
 mybatis.mapper-locations=classpath:mapper/*.xml
 mybatis.type-aliases-package=com.common.entity
 #mybatis handler 类
 mybatis.configuration.default-statement-timeout=30
 mybatis.configuration.default-fetch-size=1000
 mybatis.configuration.map-underscore-to-camel-case=true
 mybatis.type-handlers-package=com.Modules.etl.handler
 mybatis-plus.configuration.map-underscore-to-camel-case=true
 mybatis-plus.type-handlers-package=com.Modules.etl.handler
 # kafka Configuration
 spring.kafka.consumer.bootstrap-servers=192.168.4.26:9092
 spring.kafka.consumer.group-id=agent-01-syslog-group
 spring.kafka.consumer.auto-offset-reset=latest
 spring.kafka.consumer.enable-auto-commit=false 
 spring.kafka.consumer.auto-commit-interval=1000
 spring.kafka.consumer.topic=agent-01-syslog-topic
 spring.kafka.consumer.max-poll-records=1000
 spring.kafka.consumer.properties.max.poll.interval.ms=300000
 spring.kafka.consumer.properties.session.timeout.ms=45000
 spring.kafka.consumer.fetch-min-size= 1048576
 spring.kafka.listener.ack-mode= manual
 spring.kafka.listener.concurrency= 2  
 spring.kafka.listener.type=batch
 # 定时任务配置
 spring.task.scheduling.pool.size=10
 # 日志配置
 logging.level.com.common.schedule=INFO
 logging.level.com.common.service=INFO
 # 分区表检查配置
 partition.check.tomorrow.enabled=true
 partition.check.future.days=7
 partition.auto.create=true
 # 生产环境缓存配置
 spring.redis.host=192.168.4.26
 spring.redis.port=6379
 # 密码（如果没有设置密码，可以省略）
 spring.redis.password=123456
 spring.redis.database=0
 spring.redis.timeout=5000
 #spring.redis.password=${REDIS_PASSWORD:default_prod_password}
 spring.redis.lettuce.pool.max-active=20
 spring.redis.lettuce.pool.max-wait=5000
 spring.redis.lettuce.pool.max-idle=10
 spring.redis.lettuce.pool.min-idle=5
 # 生产环境缓存时间较长
 spring.cache.redis.time-to-live=3600000
 # 应用处理器配置
 app.processor.thread-pool.core-pool-size=10
 app.processor.thread-pool.max-pool-size=20
 app.processor.thread-pool.queue-capacity=2000
 app.processor.thread-pool.keep-alive-seconds=60
 app.processor.batch-size=100
 app.processor.process-timeout-ms=30000
 # ETL配置
 etl.batch.page-size=1000
 etl.batch.insert-batch-size=500
 etl.schedule.cron=0 0 2 * * ?
 # ============================================
 # HikariCP Connection Pool Configuration
 # ============================================
 spring.datasource.hikari.maximum-pool-size=50
 spring.datasource.hikari.minimum-idle=5
 spring.datasource.hikari.connection-timeout=30000
 spring.datasource.hikari.idle-timeout=600000
 spring.datasource.hikari.max-lifetime=900000
 spring.datasource.hikari.connection-test-query=SELECT 1
 spring.datasource.hikari.validation-timeout=5000
 spring.datasource.hikari.leak-detection-threshold=30000          
 spring.datasource.hikari.pool-name=HikariPool-SyslogConsumer
 spring.datasource.hikari.auto-commit=false
 spring.datasource.hikari.schema=public
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+++ b/Show More