snp-batch-validation/src/main/resources/application.yml
HYOJIN c2ea331b20 fix(스케줄러): Quartz JDBC Store 미적용 수정 — RAMJobStore에서 JDBC Store로 전환 (#12)
- QuartzConfig에 DataSource/QuartzProperties 명시적 주입 (커스텀 빈이 auto-config을 비활성화하는 문제)
- initialize-schema를 never로 변경 (수동 DDL 관리)
- std_snp_data 스키마용 Quartz DDL 스크립트 추가

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2026-03-16 17:49:50 +09:00

238 lines
7.8 KiB
YAML

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: false
properties:
hibernate:
dialect: org.hibernate.dialect.PostgreSQLDialect
format_sql: true
default_schema: std_snp_data
# Batch Configuration
batch:
jdbc:
table-prefix: "std_snp_data.batch_"
initialize-schema: never # 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: never # Quartz tables manually created in std_snp_data schema
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: std_snp_data.QRTZ_
org.quartz.jobStore.isClustered: false
org.quartz.jobStore.misfireThreshold: 60000
# Kafka Configuration
kafka:
bootstrap-servers: localhost:9092
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
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
target-schema:
name: std_snp_data
tables:
ship-001: tb_ship_default_info
ship-002: tb_ship_info_mst
ship-003: tb_ship_add_info
ship-004: tb_ship_bbctr_hstry
ship-005: tb_ship_idntf_info_hstry
ship-006: tb_ship_clfic_hstry
ship-007: tb_ship_company_rel
ship-008: tb_ship_crew_list
ship-009: tb_ship_dark_actv_idnty
ship-010: tb_ship_country_hstry
ship-011: tb_ship_group_revn_ownr_hstry
ship-012: tb_ship_ice_grd
ship-013: tb_ship_nm_chg_hstry
ship-014: tb_ship_operator_hstry
ship-015: tb_ship_ownr_hstry
ship-016: tb_ship_prtc_rpn_hstry
ship-017: tb_ship_sfty_mng_evdc_hstry
ship-018: tb_ship_mng_company_hstry
ship-019: tb_ship_sstrvsl_rel
ship-020: tb_ship_spc_fetr
ship-021: tb_ship_status_hstry
ship-022: tb_ship_cargo_capacity
ship-023: tb_ship_inspection_ymd
ship-024: tb_ship_inspection_ymd_hstry
ship-025: tb_ship_tech_mng_company_hstry
ship-026: tb_ship_thrstr_info
company-001: tb_company_dtl_info
event-001: tb_event_mst
event-002: tb_event_cargo
event-003: tb_event_humn_acdnt
event-004: tb_event_rel
facility-001: tb_port_facility_info
psc-001: tb_psc_mst
psc-002: tb_psc_defect
psc-003: tb_psc_oa_certf
movements-001: tb_ship_anchrgcall_hstry
movements-002: tb_ship_berthcall_hstry
movements-003: tb_ship_now_status_hstry
movements-004: tb_ship_dest_hstry
movements-005: tb_ship_prtcll_hstry
movements-006: tb_ship_sts_opert_hstry
movements-007: tb_ship_teminalcall_hstry
movements-008: tb_ship_trnst_hstry
code-001: tb_ship_type_cd
code-002: tb_ship_country_cd
risk-compliance-001: tb_ship_risk_info
risk-compliance-002: tb_ship_compliance_info
risk-compliance-003: tb_company_compliance_info
ship-028: ship_detail_hash_json
service-schema:
name: std_snp_svc
tables:
service-001: tb_ship_main_info
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
# LAST_EXECUTION 버퍼 시간 (시간 단위) - 외부 DB 동기화 지연 대응
last-execution-buffer-hours: 24
# ShipDetailUpdate 배치 설정
ship-detail-update:
batch-size: 10 # API 요청 당 IMO 건수
delay-on-success-ms: 300 # 성공 시 딜레이 (ms)
delay-on-failure-ms: 2000 # 실패 시 딜레이 (ms)
max-retry-count: 3 # 최대 재시도 횟수
# AIS Target Import 배치 설정 (캐시 업데이트 전용)
ais-target:
since-seconds: 60 # API 조회 범위 (초)
chunk-size: 50000 # 배치 청크 크기
schedule:
cron: "15 * * * * ?" # 매 분 15초 실행
kafka:
enabled: false # true로 변경 시 Kafka 브로커 연결 필요
topic: tp_Global_AIS_Signal
send-chunk-size: 5000
fail-on-send-error: false
# AIS Target DB Sync 배치 설정 (캐시 → DB 저장)
ais-target-db-sync:
time-range-minutes: 15 # 캐시에서 조회할 시간 범위 (분)
schedule:
cron: "0 0/15 * * * ?" # 매 15분 정각 실행 (00, 15, 30, 45분)
# AIS Target 캐시 설정
ais-target-cache:
ttl-minutes: 120 # 캐시 TTL (분) - 2시간
max-size: 300000 # 최대 캐시 크기 - 30만 건
# 중국 허가선박 전용 캐시 설정
chnprmship:
mmsi-resource-path: classpath:chnprmship-mmsi.txt
ttl-days: 2
max-size: 2000
warmup-enabled: true
warmup-days: 2
# 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: std_snp_svc # 스키마명
table: tb_ship_main_info # 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: 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