snp-batch-validation/src/main/resources/application-dev.yml

spring:
  application:
    name: snp-batch-validation

  # PostgreSQL Database Configuration
  datasource:
    url: jdbc:postgresql://211.208.115.83:5432/snpdb
    username: snp
    password: snp#8932
    driver-class-name: org.postgresql.Driver
    hikari:
      maximum-pool-size: 10
      minimum-idle: 5
      connection-timeout: 30000

  # JPA Configuration
  jpa:
    hibernate:
      ddl-auto: update
    show-sql: true
    properties:
      hibernate:
        dialect: org.hibernate.dialect.PostgreSQLDialect
        format_sql: true
        default_schema: t_std_snp_data

  # Batch Configuration
  batch:
    jdbc:
      table-prefix: "t_std_snp_data.batch_"
      initialize-schema: always  # Changed to 'never' as tables already exist
    job:
      enabled: false  # Prevent auto-run on startup

  # Thymeleaf Configuration
  thymeleaf:
    cache: false
    prefix: classpath:/templates/
    suffix: .html

  # 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: t_std_snp_data.QRTZ_
      org.quartz.jobStore.isClustered: false
      org.quartz.jobStore.misfireThreshold: 60000

  # Kafka Configuration (DEV)
  kafka:
    bootstrap-servers: localhost:9092  # TODO: DEV Kafka Broker IP/PORT 설정
    producer:
      key-serializer: org.apache.kafka.common.serialization.StringSerializer
      value-serializer: org.apache.kafka.common.serialization.StringSerializer
      acks: all
      retries: 3
      properties:
        enable.idempotence: true
        compression.type: snappy
        linger.ms: 20
        batch.size: 65536
        max.block.ms: 3000
        request.timeout.ms: 5000
        delivery.timeout.ms: 10000

# Server Configuration
server:
  port: 8041
#  port: 8041
  servlet:
    context-path: /snp-api

# Actuator Configuration
management:
  endpoints:
    web:
      exposure:
        include: health,info,metrics,prometheus,batch
  endpoint:
    health:
      show-details: always

# Logging Configuration (logback-spring.xml에서 상세 설정)
logging:
  config: classpath:logback-spring.xml

# Custom Application Properties
app:
  batch:
    chunk-size: 1000
    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
    ais-api:
      url: https://aisapi.maritime.spglobal.com
    webservice-api:
      url: https://webservices.maritime.spglobal.com
    schedule:
      enabled: true
      cron: "0 0 * * * ?"  # Every hour

    # AIS Target 배치 설정
    ais-target:
      since-seconds: 60           # API 조회 범위 (초)
      chunk-size: 50000            # 배치 청크 크기
      schedule:
        cron: "15 * * * * ?"      # 매 분 15초 실행
      kafka:
        enabled: true
        topic: tp_Global_AIS_Signal
        send-chunk-size: 5000
        fail-on-send-error: false
    # AIS Target 캐시 설정
    ais-target-cache:
      ttl-minutes: 120            # 캐시 TTL (분) - 2시간
      max-size: 300000            # 최대 캐시 크기 - 30만 건

    # ClassType 분류 설정
    class-type:
      refresh-hour: 4             # Core20 캐시 갱신 시간 (기본: 04시)

    # Core20 캐시 테이블 설정 (환경별로 테이블/컬럼명이 다를 수 있음)
    core20:
      schema: t_std_snp_data    # 스키마명
      table: tb_ship_info_mst   # 테이블명
      imo-column: imo_no        # IMO/LRNO 컬럼명 (PK, NOT NULL)
      mmsi-column: mmsi_no      # MMSI 컬럼명 (NULLABLE)

    # 파티션 관리 설정
    partition:
      # 일별 파티션 테이블 목록 (네이밍: {table}_YYMMDD)
      daily-tables:
        - schema: t_std_snp_data
          table-name: ais_target
          partition-column: message_timestamp
          periods-ahead: 3        # 미리 생성할 일수
      # 월별 파티션 테이블 목록 (네이밍: {table}_YYYY_MM)
      monthly-tables: []          # 현재 없음
      # 기본 보관기간
      retention:
        daily-default-days: 14    # 일별 파티션 기본 보관기간 (14일)
        monthly-default-months: 1 # 월별 파티션 기본 보관기간 (1개월)
        # 개별 테이블 보관기간 설정 (옵션)
        custom:
        # - table-name: ais_target
        #   retention-days: 30    # ais_target만 30일 보관