ElasticSearch 实现分词全文检索 - term、terms查询

目录

ElasticSearch 实现分词全文检索 - 概述
ElasticSearch 实现分词全文检索 - ES、Kibana、IK安装
ElasticSearch 实现分词全文检索 - Restful基本操作
ElasticSearch 实现分词全文检索 - Java SpringBoot ES 索引操作
ElasticSearch 实现分词全文检索 - Java SpringBoot ES 文档操作
ElasticSearch 实现分词全文检索 - 测试数据准备
ElasticSearch 实现分词全文检索 - term、terms查询
ElasticSearch 实现分词全文检索 - match、match_all、multimatch查询
ElasticSearch 实现分词全文检索 - id、ids、prefix、fuzzy、wildcard、range、regexp 查询
ElasticSearch 实现分词全文检索 - Scroll 深分页
ElasticSearch 实现分词全文检索 - delete-by-query
ElasticSearch 实现分词全文检索 - 复合查询
ElasticSearch 实现分词全文检索 - filter查询
ElasticSearch 实现分词全文检索 - 高亮查询
ElasticSearch 实现分词全文检索 - 聚合查询 cardinality
ElasticSearch 实现分词全文检索 - 经纬度查询
ElasticSearch 实现分词全文检索 - 搜素关键字自动补全(suggest)
ElasticSearch 实现分词全文检索 - SpringBoot 完整实现 Demo 附源码

数据准备

ElasticSearch 实现分词全文检索 - 测试数据准备

ElasticSearch的各种查询

不会对查询关键字进行分词

term 查询

term的查询是代表完全匹配,搜索之前不会对你搜索的关键字进行分词,对你的关键字去文档分词库中的去匹配内容

# term 查询 -- 完整匹配
POST /sms-logs-index/_search
{
  "from":0,
  "size":5,  //获取5条,类似分页
  "query":{
    "term": {
      "province": {
        "value": "江苏"
      }
    }
  }
}

返回值

{
  "took" : 1,  //执行花了ms
  "timed_out" : false, //没有超时
  "_shards" : {
    "total" : 1,  //总共多少分片
    "successful" : 1, //成功了多少分片
    "skipped" : 0,
    "failed" : 0
  },
  "hits" : {  //hits 中是我们要看的数据
    "total" : {
      "value" : 10,  //一共查了N条
      "relation" : "eq"
    },
    "max_score" : 0.046520013,  //匹配程度,匹配度越高,分数越高
    "hits" : [
      {
        "_index" : "sms-logs-index",
        "_type" : "_doc",
        "_id" : "Q5XEloYBGlLaT58Lnwjj",
        "_score" : 0.046520013,
        "_source" : {  //完成内容
          "corpName" : "corpName1",
          "createDate" : "2023-02-28 14:45:14",
          "fee" : 47,
          "ipAddr" : "172.16.0.66",
          "longCode" : "张三1",
          "mobile" : "13845591752",
          "operatorld" : 1,
          "province" : "江苏",
          "sendDate" : "2023-02-28 14:43:14",
          "smsContent" : "【阿里云】尊敬的vipsoft:您有2台云服务器ECS配置升级成功。如有CPU、内存变更或0Mbps带宽升级,您需要在ECS控制台手动重启云服务器后才能生效。",
          "state" : 1
        }
      },

SpringBoot 代码term查询

@Test
void termQuery() throws Exception{
    String indexName = "sms-logs-index";
    RestHighLevelClient client = ESClient.getClient();

    //1. 创建Request对象
    SearchRequest request = new SearchRequest(indexName);

    //2. 指定查询条件
    SearchSourceBuilder builder = new SearchSourceBuilder();
    builder.from(0);
    builder.size(5);
    builder.query(QueryBuilders.termQuery("province","江苏"));

    request.source(builder);

    //3. 执行查询
    SearchResponse resp = client.search(request, RequestOptions.DEFAULT);

    //4. 获取到 _source 中的数据,并展示
    for (SearchHit hit : resp.getHits().getHits()) {
        Map<String, Object> result = hit.getSourceAsMap();
        System.out.println(result);
    }
}

terms 查询

terms和term的查询机制是一样,都不会将指定的查询关键字进行分词,直接去分词库中匹配,找到相应文档内容。
terms是在针对一个字段包含多个值的时候使用。
term: where province = 江苏
terms: where province = 江苏 or province = ? or province = ?

Restful

# terms 查询
POST /sms-logs-index/_search
{
  "query":{
    "terms": {
      "province": [
        "江苏",
        "上海"
      ]
    }
  }
}

Java

@Test
void termsQuery() throws Exception{
    String indexName = "sms-logs-index";
    RestHighLevelClient client = ESClient.getClient();

    //1. 创建Request对象
    SearchRequest request = new SearchRequest(indexName);

    //2. 指定查询条件
    SearchSourceBuilder builder = new SearchSourceBuilder();
    builder.query(QueryBuilders.termsQuery("province","江苏","上海"));

    request.source(builder);

    //3. 执行查询
    SearchResponse resp = client.search(request, RequestOptions.DEFAULT);

    //4. 获取到 _source 中的数据,并展示
    for (SearchHit hit : resp.getHits().getHits()) {
        Map<String, Object> result = hit.getSourceAsMap();
        System.out.println(result);
    }
}

在线ik分词器:https://www.sojson.com/analyzer
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posted @ 2023-03-10 08:44  VipSoft  阅读(660)  评论(0编辑  收藏  举报