검색 엔진을 활용한 검색 API를 만들기전에, 활용해야할 인프라를 구축해보자

의존 인프라,작동 소스코드,기능테스트를 위한 최소 스키마및 데이터 준비

를 모두 도커로 올인화하여 로컬 개발을 가속화 시킴과 동시에 다양한 복제환경구성이 용이할것이다.

version: '3.5'
 
services:
  searchdb:
    image: mysql:5.7
    command: --default-authentication-plugin=mysql_native_password
    restart: always
    ports:
      - 13306:3306
    volumes:
      - ./init/firstsql.mysql:/docker-entrypoint-initdb.d/init.sql
    environment:
      MYSQL_ROOT_PASSWORD: root
 
  adminer:
    image: adminer
    restart: always
    ports:
      - 13307:8080
    
  elasticsearch:
    image: docker.elastic.co/elasticsearch/elasticsearch:7.4.0
    container_name: elasticsearch
    environment:
      - xpack.security.enabled=false
      - discovery.type=single-node
    ulimits:
      memlock:
        soft: -1
        hard: -1
      nofile:
        soft: 65536
        hard: 65536
    cap_add:
      - IPC_LOCK
    volumes:
      - elasticsearch-data:/usr/share/elasticsearch/data
    ports:
      - 9200:9200
      - 9300:9300
      
  kibana:
    container_name: kibana
    image: docker.elastic.co/kibana/kibana:7.4.0
    restart: always
    environment:
      - ELASTICSEARCH_HOSTS=http://elasticsearch:9200
    ports:
      - 5601:5601    
    depends_on:
      - elasticsearch

volumes:
  elasticsearch-data:
    driver: local