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
本文来自博客园,作者:VipSoft 转载请注明原文链接:https://www.cnblogs.com/vipsoft/p/17164271.html