ELK实现全文检索

版本：7.8.0

下载好elasticsearch，logstash，kibana，ik分词器

https://www.elastic.co/cn/downloads/elasticsearch
https://www.elastic.co/cn/downloads/logstash
https://www.elastic.co/cn/downloads/kibana
https://github.com/medcl/elasticsearch-analysis-ik/releases

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启动elasticsearch

解压后直接点击bin目录下elasticsearch.bat文件,在浏览器访问localhost:9200

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使用curl命令操作es

创建索引

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新增数据

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查询数据

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启动kibana

解压后直接点击bin目录下kibana.bat，在kibana.yml可以看到默认配置elasticsearch.host ：http://localhost:9200
浏览器访问localhost:5601

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在kibana上操作es

点击devtools

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查询

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删除索引

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创建索引

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新增数据

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安装ik分词器

在es的plugins的文件夹下创建了一个ik文件夹
将ik分词器的压缩包解压后的所有文件放到ik文件夹下
然后 重启es

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使用es默认的分词器查询

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使用ik_smart分词器查询

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使用ik_max_word分词器查询

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使用logstash同步mysql数据到elasticsearch

1、解压后，在config文件夹下创建用来同步mysql的配置文件mysql.conf

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配置文件内容

input {
  jdbc {
    jdbc_driver_library => "C:\\soft\\logstash-7.8.0\\mysql-connector-java-8.0.21.jar"
    jdbc_connection_string => "jdbc:mysql://127.0.0.1:3306/test?useUnicode=true&characterEncoding=utf-8&useSSL=true&serverTimezone=UTC"
    jdbc_driver_class => "com.mysql.cj.jdbc.Driver"
    jdbc_user => "root"
    jdbc_password => "root"
    schedule => "* * * * * *"
    clean_run => true
    statement => "select * from blog where update_time>=:sql_last_value and update_time < now() order by update_time DESC;"
  }
}

output {
  elasticsearch {
    hosts => ["127.0.0.1:9200"]
    index => "blog"
    document_id => "%{id}"
  }
}

创建表

CREATE TABLE `blog` (
  `id` int NOT NULL AUTO_INCREMENT,
  `title` varchar(255) COLLATE utf8mb4_croatian_ci DEFAULT NULL,
  `content` varchar(255) COLLATE utf8mb4_croatian_ci DEFAULT NULL,
  `update_time` datetime DEFAULT CURRENT_TIMESTAMP ON UPDATE CURRENT_TIMESTAMP,
  PRIMARY KEY (`id`)
) ENGINE=InnoDB AUTO_INCREMENT=8 DEFAULT CHARSET=utf8mb4 COLLATE=utf8mb4_croatian_ci;

启动logstash
bin/logstash -f ../config/mysql.conf
数据库插入一条数据，查看kibana

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logstash重启遇到的问题

在终端，ctrl+c发现并不能退出logstash，但是直接关闭窗口，再启动的时候会提示已经启动了，不能再启动，这个时候把data文件夹下面的.lock删除就可以了

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使用java客户端elasticsearch-rest-high-level-client操作es，实现全文检索

引入maven依赖

            org.elasticsearch.client
            elasticsearch-rest-high-level-client
            7.8.0
        
        
            org.elasticsearch.client
            elasticsearch-rest-client
            7.8.0
        
        
            org.elasticsearch
            elasticsearch
            7.8.0
        

利用spring的便利，创建springbean注入到spring容器中

@Configuration
public class EsConfig {
    @Bean
    public RestHighLevelClient restHighLevelClient(){
        HttpHost httpHost = new HttpHost("localhost", 9200, "http");
        RestClientBuilder builder = RestClient.builder(httpHost);
        return new RestHighLevelClient(builder);
    }
}

Blog.java

@Data
public class Blog {
    private Integer id;
    private String title;
    private String content;
}

EsBlogManager.java

@Service
public class EsBlogManager {
    @Autowired
    private RestHighLevelClient restHighLevelClient;

    public List searchByKeyWord(String keyWord){
        List biogs = new ArrayList<>();

        SearchSourceBuilder sourceBuilder = new SearchSourceBuilder();
        BoolQueryBuilder boolQueryBuilder = QueryBuilders.boolQuery();
        boolQueryBuilder.should(QueryBuilders.matchPhraseQuery("title",keyWord));
        boolQueryBuilder.should(QueryBuilders.matchPhraseQuery("content",keyWord));
        sourceBuilder.query(boolQueryBuilder);

        try {
            SearchResponse search = restHighLevelClient.search(searchRequest(sourceBuilder), RequestOptions.DEFAULT);
            SearchHit[] hits = search.getHits().getHits();
            for (SearchHit hit:hits) {
                Map sourceAsMap = hit.getSourceAsMap();
                String jsonString = JSON.toJSONString(sourceAsMap);
                Blog blog = JSON.parseObject(jsonString,Blog.class);
                biogs.add(blog);
            }
        } catch (IOException e) {
            e.printStackTrace();
        }
        return biogs;
    }

    private SearchRequest searchRequest(SearchSourceBuilder sourceBuilder){
        SearchRequest searchRequest = new SearchRequest("blog");
        searchRequest.source(sourceBuilder);
        return searchRequest;
    }
}