spring: application: name: snp-sync-batch # 정의한 DataSource만 사용하도록 합니다. (필수) autoconfigure: exclude: org.springframework.boot.autoconfigure.jdbc.DataSourceAutoConfiguration # =============================================== # 1. 배치 메타데이터 데이터소스 (Primary) # Spring Batch의 JobRepository가 사용하는 DB입니다. # =============================================== batch-meta-datasource: jdbc-url: jdbc:postgresql://211.208.115.83:5432/snpdb?currentSchema=snp_batch username: snp password: snp#8932 driver-class-name: org.postgresql.Driver # HikariCP 풀 설정 (선택적) hikari: maximum-pool-size: 10 minimum-idle: 5 connection-timeout: 30000 # =============================================== # 2. 비즈니스 데이터 데이터소스 # Spring Batch Step(ItemReader/Writer)이 데이터를 읽고 쓰는 DB입니다. # =============================================== business-datasource: jdbc-url: jdbc:postgresql://211.208.115.83:5432/snpdb?currentSchema=std_snp_data username: snp password: snp#8932 driver-class-name: org.postgresql.Driver # HikariCP 풀 설정 (선택적) hikari: maximum-pool-size: 10 minimum-idle: 5 connection-timeout: 30000 # JPA Configuration jpa: hibernate: ddl-auto: update show-sql: false properties: hibernate: dialect: org.hibernate.dialect.PostgreSQLDialect format_sql: false default_schema: snp_batch # Batch Configuration batch: jdbc: table-prefix: "snp_batch.batch_" initialize-schema: never # Changed to 'never' as tables already exist job: enabled: false # Prevent auto-run on startup # Quartz Scheduler Configuration - Using JDBC Store for persistence quartz: job-store-type: jdbc # JDBC store for schedule persistence jdbc: initialize-schema: always # Create Quartz tables if not exist properties: org.quartz.scheduler.instanceName: SNPBatchScheduler org.quartz.scheduler.instanceId: AUTO org.quartz.threadPool.threadCount: 10 org.quartz.jobStore.class: org.quartz.impl.jdbcjobstore.JobStoreTX org.quartz.jobStore.driverDelegateClass: org.quartz.impl.jdbcjobstore.PostgreSQLDelegate org.quartz.jobStore.tablePrefix: QRTZ_ org.quartz.jobStore.isClustered: false org.quartz.jobStore.misfireThreshold: 60000 # Server Configuration server: port: 8051 servlet: context-path: /snp-sync # Actuator Configuration management: endpoints: web: exposure: include: health,info,metrics,prometheus,batch endpoint: health: show-details: always # Logging Configuration logging: level: root: INFO com.snp.batch: INFO org.springframework.batch: WARN org.springframework.jdbc: WARN pattern: console: "%d{yyyy-MM-dd HH:mm:ss} - %msg%n" file: "%d{yyyy-MM-dd HH:mm:ss} [%thread] %-5level %logger{36} - %msg%n" file: name: logs/snp-sync-batch.log # Custom Application Properties app: batch: chunk-size: 10000 sub-chunk-size: 5000 # Writer Sub-Chunk 분할 크기 api: url: https://api.example.com/data timeout: 30000 ship-api: url: https://shipsapi.maritime.spglobal.com username: 7cc0517d-5ed6-452e-a06f-5bbfd6ab6ade password: 2LLzSJNqtxWVD8zC schedule: enabled: true cron: "0 0 * * * ?" # Every hour