ElasticSearch 基本操作
ES中最基本的增删改查操作，这里做个汇总，以后可以看一下。查找部分还有很多没有写出来，内容是在太多了。
增
1. 增加索引
增加索引my_store，字段有price,productID
curl -X PUT "localhost:9200/my_store" -H 'Content-Type: application/json' -d'{ "settings": { "number_of_shards": 3, "number_of_replicas": 1 } "mappings" : { "products" : { "properties" : { "price": { "type": "keyword" }, "productID" : { "type" : "keyword" } } } }}' 2. 增加文档
指定ID
curl -X PUT "localhost:9200/my_store/products/1" -H 'Content-Type: application/json' -d'{ "price": 20, "productID": "XHDK-A-1293-#fJ3"}' 不指定ID
curl -X POST "localhost:9200/my_store/products/" -H 'Content-Type: application/json' -d'{ "price": 20, "productID": "XHDK-A-1293-#fJ3"}' 删
1. 删除文档
curl -X DELETE "localhost:9200/my_store/products/1"
2. 删除索引
curl -X DELETE "localhost:9200/my_store"
改
修改id为1的文档的 price 为 50
curl -X POST "localhost:9200/my_store/products/1/_update" -H 'Content-Type: application/json' -d'{ "docs": { "price": 50 }}' 查
这里只是粗略介绍
1. 通过 _id 查询
curl -X GET "localhost:9200/my_store/products/1"
2. 条件查询
查询该索引下所有的记录
curl -X POST "localhost:9200/my_store/_search" -H "Content-Type:application/json" -d '{ "query": { "match_all": {} }}' 限制条数（从第一条开始，显示一条）
curl -X POST "localhost:9200/my_store/_search" -H "Content-Type:application/json" -d '{ "query": { "match_all": {} }, "from": 1, "size": 1}' 限定条件
curl -X POST "localhost:9200/my_store/_search" -H "Content-Type:application/json" -d '{ "query": { "match": { "price": 30 } }}' 设定升降序
curl -X POST "localhost:9200/my_store/_search" -H "Content-Type:application/json" -d '{ "query": { "match": { "price": 30 } }, "sort": [ {"productID": {"order": "desc"}} ]}' 3. 聚合查询
查询
curl -X POST "localhost:9200/my_store/_search" -H "Content-Type:application/json" -d '{ "aggs": { "group_by_word_count": { "terms": { "field": "word_count" } }, "group_by_publish_date": { "terms": { "field": "publish_date" } } }}' 计算
curl -X POST "localhost:9200/my_store/_search" -H "Content-Type:application/json" -d '{ "aggs": { "grades_word_count": { "stats": { "field": "word_count" } } }}' 高级查询
子条件查询 特定字段查询所指特定值
Query context
在查询过程中，除了判断文档是否满足查询条件外，ES还会计算一个
_score来标识匹配的程度，旨在判断目标文档和查询条件匹配的有多好。- 全文本查询 针对文本类型数据
- 字段级别查询 针对结构化数据（数字，日期等）
Filter context
在查询过程中，指判断该文档是否满足条件，只有 YES 或 NO。
符合条件查询 以一定的逻辑组合子条件查询
1. query
1.1. 模糊匹配 - 非结构化数据查询
curl -X POST "localhost:9200/my_store/_search" -H "Content-Type:application/json" -d '{ "query": { "match": { "price": 30 } }}' 缺陷：查询组合词的时候会被自动拆分，比如说ElasticSearch入门会被拆分为ElasticSearch和入门
1.2. 习语匹配 - 非结构化数据查询
curl -X POST "localhost:9200/my_store/_search" -H "Content-Type:application/json" -d '{ "query": { "match_phrase": { "title": "ElasticSearch入门" } }}' 1.3. 多字段匹配 - 非结构化数据查询
curl -X POST "localhost:9200/my_store/_search" -H "Content-Type:application/json" -d '{ "query": { "multi_match": { "query": "ElasticSearch", "fields": ["title", "content"] } }}' 1.4. 语法匹配 - 非结构化数据查询
curl -X POST "localhost:9200/my_store/_search" -H "Content-Type:application/json" -d '{ "query": { "query_string": { "query": "ElasticSearch AND 入门" } }}' curl -X POST "localhost:9200/my_store/_search" -H "Content-Type:application/json" -d '{ "query": { "query_string": { "query": "(ElasticSearch AND 入门) OR Python" } }}' curl -X POST "localhost:9200/my_store/_search" -H "Content-Type:application/json" -d '{ "query": { "query_string": { "query": "ElasticSearch OR 入门" "fields": ["title", "content"] } }}' 1.5. 字段查询 - 结构化数据查询
curl -X POST "localhost:9200/my_store/_search" -H "Content-Type:application/json" -d '{ "query": { "term": { "title": "ElasticSearch" } }}' 2. filter
和 query 最大的区别在于没有_score了，并且会对结果进行缓存。
curl -X POST "localhost:9200/my_store/_search" -H "Content-Type:application/json" -d '{ "query": { "bool": { "filter": { "term": { "price": 30 } } } }}' 3. 复合查询
3.1. 固定分数查询
curl -X POST "localhost:9200/my_store/_search" -H "Content-Type:application/json" -d '{ "query": { "constant_score": { "filter": { "match": { "title": "ElasticSearch" } }, "boost": 2 } }}' 3.2. 布尔查询
should：相当于sql中的 or
curl -X POST "localhost:9200/my_store/_search" -H "Content-Type:application/json" -d '{ "query": { "bool": { "should": [ {"match": {"title": "ElasticSearch"}}, {"match": {"content": "ES"}} ] } }}'must：相当于sql中的 is
curl -X POST "localhost:9200/my_store/_search" -H "Content-Type:application/json" -d '{ "query": { "bool": { "must": [ {"match": {"title": "ElasticSearch"}}, {"match": {"content": "ES"}} ] } }}'must_not：相当于sql中的 is not
curl -X POST "localhost:9200/my_store/_search" -H "Content-Type:application/json" -d '{ "query": { "bool": { "must_not": { "term": { "title": "ElasticSearch" } } } }}'