elasticsearch7.9整合springboot

 

 

1、需要添加依赖

 

 

 

 

2、添加配置文件

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package com.example.elasticsearch.shop.configure; import org.elasticsearch.client.RestHighLevelClient; import org.springframework.context.annotation.Bean; import org.springframework.context.annotation.Configuration; import org.springframework.data.elasticsearch.client.ClientConfiguration; import org.springframework.data.elasticsearch.client.RestClients; import org.springframework.data.elasticsearch.config.AbstractElasticsearchConfiguration; import org.springframework.data.elasticsearch.core.ElasticsearchRestTemplate;   @Configuration class RestClientConfig extends AbstractElasticsearchConfiguration {     @Bean     @Override     public RestHighLevelClient elasticsearchClient() {         final ClientConfiguration clientConfiguration = ClientConfiguration.builder()                 .connectedTo("10.138.130.1:30217","10.138.130.1:32002","10.138.130.1:33785")                 .build();           return RestClients.create(clientConfiguration).rest();     }     @Bean(name = { "elasticsearchOperations", "elasticsearchRestTemplate" })     public ElasticsearchRestTemplate elasticsearchTemplate() {         return new ElasticsearchRestTemplate(elasticsearchClient());     } }

3、创建索引

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public Boolean createIndex() {         return elasticsearchRestTemplate.indexOps(ShopEntity.class).create();     }

　　

4、创建mapping

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Document mapping = elasticsearchRestTemplate.indexOps(ShopEntity.class).createMapping(ShopEntity.class);       boolean brue = elasticsearchRestTemplate.indexOps(ShopEntity.class).putMapping(mapping);       System.out.println(brue);       System.out.println(mapping);

　　docker部署elasticsearch环境变量设置

cluster.name: "elasticsearch-cluster"
network.host: 0.0.0.0
node.name: elasticsearch-server-01
node.master: true
node.data: true
discovery.seed_hosts: ["elasticsearch-server-01", "elasticsearch-server-02", "elasticsearch-server-03"]
cluster.initial_master_nodes: ["elasticsearch-server-01", "elasticsearch-server-02", "elasticsearch-server-03"]

docker-compose部署es集群

version: '2.2'
services:
  es01:
    image: docker.elastic.co/elasticsearch/elasticsearch:7.16.2
    container_name: es01
    environment:
      - node.name=es01
      - cluster.name=es-docker-cluster
      - discovery.seed_hosts=es02,es03
      - cluster.initial_master_nodes=es01,es02,es03
      - bootstrap.memory_lock=false
      - "ES_JAVA_OPTS=-Xms512m -Xmx512m"
    ports:
      - 9200:9200
    networks:
      - elastic
  es02:
    image: docker.elastic.co/elasticsearch/elasticsearch:7.16.2
    container_name: es02
    environment:
      - node.name=es02
      - cluster.name=es-docker-cluster
      - discovery.seed_hosts=es01,es03
      - cluster.initial_master_nodes=es01,es02,es03
      - bootstrap.memory_lock=false
      - "ES_JAVA_OPTS=-Xms512m -Xmx512m"
    ports:
      - 9201:9200
    networks:
      - elastic
  es03:
    image: docker.elastic.co/elasticsearch/elasticsearch:7.16.2
    container_name: es03
    environment:
      - node.name=es03
      - cluster.name=es-docker-cluster
      - discovery.seed_hosts=es01,es02
      - cluster.initial_master_nodes=es01,es02,es03
      - bootstrap.memory_lock=false
      - "ES_JAVA_OPTS=-Xms512m -Xmx512m"
    ports:
      - 9202:9200
    networks:
      - elastic
networks:
  elastic:
    driver: bridge

使用 Docker 环境变量设置单独的 Elasticsearch 配置参数

1. 将设置名称更改为大写
2. 前缀为 ES_SETTING_
3. _通过复制 下划线 ( ) 来转义它们
4. 将所有句点 ( .)转换为下划线 ( _)

例如，-e bootstrap.memory_lock=true变成 -e ES_SETTING_BOOTSTRAP_MEMORY__LOCK=true。

挂载 Elasticsearch 配置文件

- v full_path_to / custom_elasticsearch 。yml :/ usr / share / elasticsearch / config / elasticsearch 。yml

 如果您绑定挂载自定义elasticsearch.yml文件，请确保它包含该 network.host: 0.0.0.0设置。此设置可确保节点可访问 HTTP 和传输流量，前提是其端口已公开。elasticsearch.yml默认情况下，Docker 映像的内置文件包含此设置。

elasticsearch类型为啥去掉？

elasticsearch强掉的是全文检索，所以type没有意义了

elasticsearch倒排索引理解

1001  zhangsan

1002  lisi

1003 wagnwu zhang

倒排索引表

zhang   1001 1003

san       1001

li          1002

si         1002

 

9300和9200端口区别

9300是es集群之间通信端口，9200是与客户端通信端口

 集群配置

config-elasticsearch.yml配置

cluster配置

cluster.name:es

node配置

node.name:node01

node.master:true

node.data:true

network配置

network.host:localhost

http.port:1001

transport.tcp.port:9301

discovery.send_hosts:["localhost:9301"]    //集群第一台不需要配置，第二台需要配置，查找另外的一台es

discovery.zen.fd.ping_timeout: 1m

discovery.zen.fd.ping_retries: 5

 

http.cors.enabled:true

http.cors.allow-origin:"*"

挂载数据卷：/usr/share/elasticsearch/data

 分片的理解

数据分别存放到不同 的分片上，所有的分片数据组成完整的数据，分片是最小的单元

 学习参考视频：https://www.bilibili.com/video/BV1hh411D7sb?p=62&spm_id_from=pageDriver

错误问题解决：

 

 命令行执行：

wsl -d docker-desktop
sysctl -w vm.max_map_count=262144