elasticsearch笔记

安装地址

https://www.elastic.co/guide/en/elasticsearch/reference/7.2/docker.html

docker pull安装

安装

docker pull elasticsearch

配置jvm内存 /conf/elasticsearch/jvm.options

-Xms512m
-Xmx512m

启动

docker run -v /conf/elasticsearch/jvm.options:/etc/elasticsearch/jvm.options -p 9200:9200 --rm -it elasticsearch

测试

http://192.168.199.149:9200/
{
    name: "wXaTvCS",
    cluster_name: "elasticsearch",
    cluster_uuid: "QBWCsKICTWuw16XDcKSqJg",
    version: {
        number: "5.6.12",
        build_hash: "cfe3d9f",
        build_date: "2018-09-10T20:12:43.732Z",
        build_snapshot: false,
        lucene_version: "6.6.1"
    },
    tagline: "You Know, for Search"
}

docker-compose安装

docker-compose.yml:

version: '2.2'
services:
  es01:
    image: docker.elastic.co/elasticsearch/elasticsearch:7.2.0
    container_name: es01
    environment:
      - node.name=es01
      - discovery.seed_hosts=es02
      - cluster.initial_master_nodes=es01,es02
      - cluster.name=docker-cluster
      - bootstrap.memory_lock=true
      - "ES_JAVA_OPTS=-Xms512m -Xmx512m"
    ulimits:
      memlock:
        soft: -1
        hard: -1
    volumes:
      - esdata01:/usr/share/elasticsearch/data
    ports:
      - 9200:9200
    networks:
      - esnet
  es02:
    image: docker.elastic.co/elasticsearch/elasticsearch:7.2.0
    container_name: es02
    environment:
      - node.name=es02
      - discovery.seed_hosts=es01
      - cluster.initial_master_nodes=es01,es02
      - cluster.name=docker-cluster
      - bootstrap.memory_lock=true
      - "ES_JAVA_OPTS=-Xms512m -Xmx512m"
    ulimits:
      memlock:
        soft: -1
        hard: -1
    volumes:
      - esdata02:/usr/share/elasticsearch/data
    networks:
      - esnet
    volumes:
      esdata01:
        driver: local
      esdata02:
        driver: local
    
    networks:
      esnet:

启动

docker-compose up

概念

Elasticsearch	MySQL
Index	Database
Type	Table
Document	Row
Field	Column

api操作

# 没有增加 有则修改 每次修改 _version都+1
curl -i -X PUT "vm:9200/movie/adventure/1" -d '{"name": "Life of Pi", "actors": ["Suraj", "Irrfan"]}'
#查看数据 可以匹配多个索引 正则
http://vm:9200/movie/adventure/_search
# 修改指定id下的指定字段 post、 update 、doc关键词
curl -i -X POST "vm:9200/movie/adventure/1/_update" -d '{"doc":{"name": "Life of2 Pi"}}'
#删除指定行
curl -i -X DELETE "vm:9200/movie/adventure/1/"

dsl操作

GET vm:9200/movie/adventure/_search
{
    "query" : {
        "match" : {
            "name" : "life"
        }
    }
}