# ========================= # 应用基础配置 # ========================= NODE_ENV=production PORT=3000 # 日志级别:debug | info | warn | error LOG_LEVEL=info LOG_FORMAT=json # ========================= # Kafka 配置 # ========================= # 多个 broker 用英文逗号分隔 KAFKA_BROKERS=localhost:9092 KAFKA_CLIENT_ID=bls-heartbeat KAFKA_GROUP_ID=bls-heartbeat-consumer # 推荐使用 KAFKA_TOPICS;多个 topic 用英文逗号分隔 KAFKA_TOPICS=blwlog4Nodejs-rcu-heartbeat-topic # 兼容旧写法;如已使用 KAFKA_TOPICS,可不填写 # KAFKA_TOPIC=blwlog4Nodejs-rcu-heartbeat-topic # latest / earliest KAFKA_FROM_OFFSET=latest KAFKA_CONSUMER_INSTANCES=6 KAFKA_AUTO_COMMIT=true KAFKA_AUTO_COMMIT_INTERVAL_MS=5000 KAFKA_RETRY_ATTEMPTS=0 KAFKA_RETRY_DELAY=1000 KAFKA_MAX_IN_FLIGHT_MESSAGES=200 KAFKA_FETCH_MAX_BYTES=10485760 KAFKA_FETCH_MIN_BYTES=1 KAFKA_FETCH_MAX_WAIT_MS=100 # SASL/SSL 按实际环境开启 KAFKA_SASL_ENABLED=false KAFKA_SASL_MECHANISM=plain KAFKA_SASL_USERNAME= KAFKA_SASL_PASSWORD= KAFKA_SSL_ENABLED=false # ========================= # PostgreSQL 配置 # ========================= POSTGRES_HOST=127.0.0.1 POSTGRES_PORT=5432 POSTGRES_DATABASE=log_platform POSTGRES_USER=log_admin POSTGRES_PASSWORD=your_password POSTGRES_IDLE_TIMEOUT_MS=30000 # 可选:兼容标准 PG 环境变量;留空则优先使用上面的 POSTGRES_* # PGHOST= # PGPORT= # PGTARGETDB= # PGUSER= # PGPASSWORD= # 数据库失败重试 DB_RETRY_ATTEMPTS=3 DB_RETRY_DELAY=1000 # 双写开关 # 旧明细表:heartbeat.heartbeat_events DB_LEGACY_HEARTBEAT_ENABLED=true # 新热表:heartbeat.heartbeat_events_g4_hot DB_G4_HOT_HEARTBEAT_ENABLED=false # room_status 写入开关 DB_ROOM_STATUS_ENABLED=true # 如无特殊需要,保持默认表名即可 DB_LEGACY_TABLE=heartbeat.heartbeat_events DB_G4_HOT_TABLE=heartbeat.heartbeat_events_g4_hot # ========================= # Redis 配置 # ========================= REDIS_ENABLED=true REDIS_HOST=10.8.8.109 REDIS_PORT=6379 REDIS_PASSWORD= REDIS_DB=15 # 若提供 REDIS_URL,则业务侧可优先使用统一连接串 REDIS_URL= REDIS_CONNECT_TIMEOUT_MS=5000 REDIS_PROJECT_NAME=BLS主机心跳日志 REDIS_HEARTBEAT_INTERVAL_MS=3000 REDIS_API_BASE_URL=http://127.0.0.1:3000 # ========================= # 批处理配置 # ========================= PROCESSOR_BATCH_SIZE=100 PROCESSOR_BATCH_TIMEOUT=5000