ElasticSearch 实现分词全文检索 - id、ids、prefix、fuzzy、wildcard、range、regexp 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

id 查询

# id 查询
GET /sms-logs-index/_doc/1

Java

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

    //1. 创建GetRequest对象
    GetRequest request = new GetRequest(indexName,"1");

    //2. 执行查询
    GetResponse resp = client.get(request, RequestOptions.DEFAULT);

    //4. 获取到  中的数据，并展示
    System.out.println(resp.getSourceAsMap());
}

ids 查询

根据多个ID查询，类似MySQL中的 where id in (1,2,3)

# ids 查询
GET /sms-logs-index/_search/
{
  "query": {
    "ids": {
      "values": ["1","2","3"]
    }
  }
} 

Java

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

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

    //2. 指定查询条件
    SearchSourceBuilder builder = new SearchSourceBuilder();
    builder.query(QueryBuilders.idsQuery().addIds("1","2","3"));
    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);
    }
}

prefix查询

前缀查询，可以通过一个关键字去指定一个Field的前缀，从而查询到指定的文档

# prefix 查询
GET /sms-logs-index/_search/
{
  "query": {
    "prefix": {
      "longCode": {
        "value": "李"
      }
    }
  }
}

Java

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

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

    //2. 指定查询条件
    SearchSourceBuilder builder = new SearchSourceBuilder();
    builder.query(QueryBuilders.prefixQuery("longCode","李"));
    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);
    }
}

fuzzy查询

模糊查询，我们输入字符的大概，ES就可以

# fuzzy 查询
GET /sms-logs-index/_search/
{
  "query": {
    "fuzzy": {
      "smsContent": {
        "value": "天天凯心", # 可以有错别字
        "prefix_length": 2  # 前N个字符，不允许出现错误，完本匹配
      }
    }
  }
}

Java

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

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

    //2. 指定查询条件
    SearchSourceBuilder builder = new SearchSourceBuilder();
    builder.query(QueryBuilders.fuzzyQuery("smsContent","天天凯心").prefixLength(2));
    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);
    }
}

wildcard 查询

通配查询，和MySQL中的 like 差不多，可以在查询时，在字符串中指定通配符 * 和占位符？

# wildcard 查询
GET /sms-logs-index/_search/
{
  "query": {
    "wildcard": {
      "smsContent": {
        "value": "天*"
      }
    }
  }
}

Java

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

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

    //2. 指定查询条件
    SearchSourceBuilder builder = new SearchSourceBuilder();
    builder.query(QueryBuilders.wildcardQuery("smsContent","天*"));
    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);
    }
}

range 查询

范围查询，只针对数值类型，对某一个Field进行大于或小于的范围指定查询

# wildcard 查询
GET /sms-logs-index/_search/
{
  "query": {
    "range": {
      "fee": {
        "gte": 10,
        "lte": 20
      }
    }
  }
}

Java

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

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

    //2. 指定查询条件
    SearchSourceBuilder builder = new SearchSourceBuilder();
    builder.query(QueryBuilders.rangeQuery("fee").gte(10).lte(20));
    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);
    }
}

regexp 查询

正则查询，通过你编写的正则表达式去匹配内容

PS：prefix,fuzzy,wildcard 和 regexp 查询效率相对比较低。要求效率比较高时，避免去使用]

# regexp 查询
POST /sms-logs-index/_search/
{
  "query": {
    "regexp": {
      "mobile": "1382[0-9]{7}" # 查询 1382开头的手机号
      }
    }
  }
}

Java

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

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

    //2. 指定查询条件
    SearchSourceBuilder builder = new SearchSourceBuilder();
    builder.query(QueryBuilders.regexpQuery("mobile","1382[0-9]{7}"));
    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);
    }
}