SpringBoot 2.1.x版本整合 elasticsearch 7.4.0版本详细说明

SpringBoot 2.1.x版本整合 elasticsearch 7.4.0版本详细说明

一.首先介绍怎么使用docker安装elasticsearch7.4.0版本:

1.1拉取镜像:

docker pull elasticsearch:7.4.0

1.2创建容器:

docker run -id --name elasticsearch -d -p 9200:9200 -p 9300:9300 -v /usr/share/elasticsearch/plugins:/usr/share/elasticsearch/plugins -e "discovery.type=single-node" elasticsearch:7.4.0

1.3安装ik分词器:

第一步下载ik分词器压缩包,对应地址为:ik分词压缩包下载

这里的下载请注意!!! ik分词器的版本一定要跟elasticsearch的版本一致!!!

​ ik分词器的版本一定要跟elasticsearch的版本一致!!!

​ ik分词器的版本一定要跟elasticsearch的版本一致!!!

重要的事情说三边!!!

第二步将下载的ik分词器压缩包上传至虚拟机中,有的是服务器.我用的是自己的虚拟机,通过SecureCRT 工具将压缩包上传至虚拟机中.

SecureCRT 的安装 参考:SecureCRT的安装步骤

第三步进行解压:

#切换目录
cd /usr/share/elasticsearch/plugins
#新建目录
mkdir analysis-ik
cd analysis-ik
#查看es压缩包的绝对路径
pwd elasticsearch-analysis-ik-7.4.0.zip
#这是我的压缩包绝对路径  /home/itjava
#root根目录中拷贝文件
mv /home/itjava/elasticsearch-analysis-ik-7.4.0.zip /usr/share/elasticsearch/plugins/analysis-ik
#解压文件
cd /usr/share/elasticsearch/plugins/analysis-ik
unzip elasticsearch-analysis-ik-7.4.0.zip
#删除压缩包
rm -rf elasticsearch-analysis-ik-7.4.0.zip

​ 解压完成后一定要删除压缩包,否则elasticsearch会闪退

第四步重启elasticsearch:

#查看所有的容器
docker ps -a

#启动容器
docker start 8b9d2962309c

1.4安装kibana:

#拉取镜像
docker pull kibana:7.4.0
#创建容器
docker run -d -p 5601:5601 --link elasticsearch -e "ELASTICSEARCH_URL=http://192.168.200.130:9200" kibana:7.4.0

1.5验证 http://192.168.200.140:5601

当出现以下界面代表安装成功

1.6创建库:

找到上图的控制台输入这句话:

PUT app_info_article
{
    "mappings":{
        "properties":{
            "id":{
                "type":"text"
            },
            "publishTime":{
                "type":"date"
            },
            "layout":{
                "type":"short"
            },
            "images":{
                "type":"text"
            },
            "authorId": {
          		"type": "integer"
       		},
            "title":{
                "type":"text",
                "analyzer":"ik_smart"
            },
            "content":{
                "type":"text",
                "analyzer":"ik_smart"
            }
        }
    }
}

看到此图即为成功!

二.SpringBoot2.1.x整合 elasticsearch 7.4.0

首先引入坐标:

 <parent>
        <groupId>org.springframework.bootgroupId>
        <artifactId>spring-boot-starter-parentartifactId>
        <version>2.1.5.RELEASEversion>
    parent>
    <dependencies>
        
        <dependency>
            <groupId>org.elasticsearch.clientgroupId>
            <artifactId>elasticsearch-rest-high-level-clientartifactId>
            <version>7.4.0version>
        dependency>
        <dependency>
            <groupId>org.elasticsearch.clientgroupId>
            <artifactId>elasticsearch-rest-clientartifactId>
            <version>7.4.0version>
        dependency>
        <dependency>
            <groupId>org.elasticsearchgroupId>
            <artifactId>elasticsearchartifactId>
            <version>7.4.0version>
        dependency>
        
        <dependency>
            <groupId>mysqlgroupId>
            <artifactId>mysql-connector-javaartifactId>
            <version>5.1.29version>
        dependency>
        <dependency>
            <groupId>org.springframework.bootgroupId>
            <artifactId>spring-boot-starter-jdbcartifactId>
        dependency>
        <dependency>
            <groupId>org.springframework.bootgroupId>
            <artifactId>spring-boot-starter-testartifactId>
        dependency>
        <dependency>
            <groupId>org.springframework.bootgroupId>
            <artifactId>spring-boot-configuration-processorartifactId>
        dependency>
        <dependency>
            <groupId>org.projectlombokgroupId>
            <artifactId>lombokartifactId>
        dependency>
        <dependency>
            <groupId>com.alibabagroupId>
            <artifactId>druidartifactId>
            <version>1.2.1version>
        dependency>
        <dependency>
            <groupId>com.alibabagroupId>
            <artifactId>druid-spring-boot-starterartifactId>
            <version>1.2.1version>
        dependency>
        <dependency>
            <groupId>cn.hutoolgroupId>
            <artifactId>hutool-allartifactId>
            <version>4.6.5version>
        dependency>
    dependencies>

第二步添加application.yml配置文件:

server:
  port: 8022
spring:
  datasource:
    driver-class-name: com.mysql.jdbc.Driver
    url: jdbc:mysql://localhost:3306/activiti?useUnicode=true&characterEncoding=utf8&serverTimezone=GMT
    username: root
    password: root
    type: com.alibaba.druid.pool.DruidDataSource
    druid:
      initial-size: 5
      min-idle: 5
      max-active: 20
      max-wait: 30000
      time-between-eviction-runs-millis: 60000
      min-evictable-idle-time-millis: 300000
      validation-query: select 1
      test-while-idle: true
      test-on-borrow: false
      test-on-return: false
      pool-prepared-statements: false
      max-pool-prepared-statement-per-connection-size: 20
      connection-properties: druid.stat.mergeSql=true;druid.stat.slowSqlMillis=6000
  application:
    name: searchtest
#自定义elasticsearch连接配置
elasticsearch:
  host: 192.168.200.140
  port: 9200

第三步添加配置类:

/**
 * @author zhangfc
 * @date 2021/9/26 15:46
 */
@Getter
@Setter
@Configuration
@ConfigurationProperties(prefix = "elasticsearch")
public class ElasticConfiguretion {

    private String host;

    private Integer port;

    @Bean
    public RestHighLevelClient client() {
        System.out.println(host);
        System.out.println(port);

        return new RestHighLevelClient(
                RestClient.builder(
                        new HttpHost(host, port, "http")
                )
        );
    }

}

配置准备就绪开始测试:

/**
 * @author zhangfc
 * @date 2021/9/26 15:54
 */
@SpringBootTest(classes = SearchApplication.class)
@RunWith(SpringRunner.class)
@Slf4j
public class ElasticSearchTest {

    @Autowired
    private RestHighLevelClient restHighLevelClient;

    @Test
    public void test01() throws IOException {

        for (int i = 0; i < 10; i++) {

            String id = UUID.randomUUID().toString().substring(0, 3);
            //构建想要存储的对象
            Map<String, Object> map = new HashMap<>();
            map.put("id", id);
            map.put("publishTime", new Date());
            map.put("layout", RandomUtil.randomInt(1000));
            map.put("images", RandomUtil.randomNumbers(10).toString());
            map.put("authorId", RandomUtil.randomInt(1000));
            map.put("content", RandomUtil.randomNumbers(10).toString());

            //指定要存入数据的库
            IndexRequest indexRequest
                    = new IndexRequest("app_info_article").id(id).source(map);

            //创建索引 并保存至es库中
            restHighLevelClient.index(indexRequest, RequestOptions.DEFAULT);
        }
    }

    @Test
    public void test02() throws IOException {
        //构建搜索请求对象,需要指定索引库名称
        SearchRequest searchRequest = new SearchRequest("app_info_article");
        //条件构建器
        SearchSourceBuilder searchSourceBuilder = new SearchSourceBuilder();
        //布尔查询
        BoolQueryBuilder boolQueryBuilder = new BoolQueryBuilder();

        //查询时间publishTime大于2021-09-21 15:00:00 的所有信息
        RangeQueryBuilder rangeQueryBuilder = QueryBuilders
                .rangeQuery("publishTime")
                .gt(DateUtil.parse("2021-09-21 15:00:00").toJdkDate());
        boolQueryBuilder.filter(rangeQueryBuilder);

        searchSourceBuilder.query(boolQueryBuilder);
        //分页
        searchSourceBuilder.from(0);
        searchSourceBuilder.size(10);
        searchRequest.source(searchSourceBuilder);
        SearchResponse searchResponse = restHighLevelClient.search(searchRequest, RequestOptions.DEFAULT);

        List<Map> articleList = new ArrayList<>();

        SearchHit[] hits = searchResponse.getHits().getHits();
        for (SearchHit hit : hits) {

            String sourceAsString = hit.getSourceAsString();
            Map map = JSONUtil.toBean(sourceAsString,Map.class);
            articleList.add(map);
        }
        System.out.println(articleList);
    }
}

上述测试只是按照时间筛选的方式进行查询,除此以外还有很多筛选方式查询 可自行查看api 更多api可查看:QueryBuilders的更多api用法