一、简单的crud操作
1、添加
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put /index/type/id{ "json数据"} |
2、查询
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get /index/type/id |
3、修改
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post /index/type/id/_update{ "doc": { "field": "值" }} |
4、删除
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delete /index/type/id |
二、搜索
搜索可以分成六大类
- 1、query string search
- 2、query dsl
- 3、query filter
- 4、full-text search
- 5、phrase search
- 6、highlight search
1、query string search
搜索全部：get supplier/user/_search
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{ "took": 2, "timed_out": false, "_shards": { "total": 5, "successful": 5, "failed": 0 }, "hits": { "total": 3, "max_score": 1, "hits": [ { "_index": "supplier", "_type": "user", "_id": "2", "_score": 1, "_source": { "name": "lisi", "age": 26, "address": "bei jing tong zhou", "price": 10000, "dept": [ "kaifabu" ] } }, { "_index": "supplier", "_type": "user", "_id": "1", "_score": 1, "_source": { "name": "zhangsan", "age": 30, "address": "bei jing chang chun jie", "price": 15000, "dept": [ "kaifabu", "yanfabu" ] } }, { "_index": "supplier", "_type": "user", "_id": "3", "_score": 1, "_source": { "name": "wangwu", "age": 26, "address": "bei jing tong zhou yun he ming zhu", "price": 13000, "dept": [ "kaifabu" ] } } ] }} |
took：耗费了几毫秒
timed_out：是否超时，这里是没有
_shards：数据拆成了5个分片，所以对于搜索请求，会打到所有的primary shard（或者是它的某个replica shard也可以）
hits.total：查询结果的数量，3个document
hits.max_score：score的含义，就是document对于一个search的相关度的匹配分数，越相关，就越匹配，分数也高
hits.hits：包含了匹配搜索的document的详细数据
2、query dsl
查询所有
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get supplier/user/_search{ "query": { "match_all": {} }} |
查询全部并且排序
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get suppluer/user/_search{ "query": { "match_all": {} } , "sort": [ { "price": { "order": "desc" } } ]} |
分页查询
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get supplier/user/_search{ "query": { "match_all": {} }, "from": 1, "size": 1} |
指定要查询显示的field
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get supplier/user/_search{ "query": { "match_all": {} }, "_source": ["name", "price"]} |
3、query filter
搜索name为‘lisi'并且price大于1500的
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get supplier/user/_search{ "query" : { "bool" : { "must" : { "match" : { "name" : "lisi" } }, "filter" : { "range" : { "price" : { "gt" : 1500} } } } }} |
4、full-text search（全文检索）
address这个字段，会先被拆解，建立倒排索引
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get /ecommerce/product/_search{ "query" : { "match" : { "address" : "bei jing" } }} |
5、phrase search（短语搜索）
跟全文检索相对应，相反，全文检索会将输入的搜索串拆解开来，去倒排索引里面去一一匹配，只要能匹配上任意一个拆解后的单词，就可以作为结果返回
phrase search，要求输入的搜索串，必须在指定的字段文本中，完全包含一模一样的，才可以算匹配，才能作为结果返回
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get /ecommerce/product/_search{ "query" : { "match_phrase" : { "address" : "bei jing" } }} |
6、highlight search（高亮搜索结果）
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get /ecommerce/product/_search{ "query" : { "match" : { "address" : "bei jing" } }, "highlight": { "fields" : { "address" : {} } }} |
总结
以上就是这篇文章的全部内容了，希望本文的内容对大家的学习或者工作具有一定的参考学习价值，谢谢大家对服务器之家的支持。如果你想了解更多相关内容请查看下面相关链接
原文链接：https://blog.csdn.net/qq_37465151/article/details/72673479
