Class 3 基于ECS构建微信公众号管理系统
时间:2020-08-08 20:07:43
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1、es是基于lucene开发的一个分布式全文索引框架。往ES中存储和从ES中查询,格式为Json
索引:Index 相当于数据库中的database
类型:type 相当于数据库中的table
主键:id 相当于数据库中的主键
往ES中存储数据,其实就是往ES中的index下的type存储Json数据
RESTFul风格API
通过http的形式,发送请求,对ES进行操作
查询: GET
删除: DELETE
添加: PUT/POST
修改: PUT/POST
1、PUT操作,store为database;books为table;2为主键
curl -XPUT ‘http://hadoop100:9200/store/books/2‘ -d ‘{ "title": "Elasticsearch Blueprints", "name" : { "first" : "Vineeth", "last" : "Mohan" }, "publish_date":"2015-06-06", "price":"35.99" }‘
2、GET操作
a)根据id查询
curl -XGET ‘http://hadoop100:9200/store/books/1‘
b)通过_source获取指定的字段
curl -XGET ‘http://hadoop100:9200/store/books/1?_source=title‘ curl -XGET ‘http://hadoop100:9200/store/books/1?_source=title,price‘ curl -XGET ‘http://hadoop100:9200/store/books/1?_source‘
c)最简单_search 结合filter查询
curl -XGET ‘http://hadoop100:9200/store/books/_search‘ -d ‘{ "query": { "bool": { "must": { "match_all": {} }, "filter": { "term": { "price": 35.99 } } } } }‘
#指定多个值 curl -XGET ‘http://hadoop100:9200/store/books/_search‘ -d ‘{ "query" : { "bool" : { "filter" : { "terms" : { "price" : [35.99, 99.99] } } } } }‘
curl -XGET ‘http://hadoop100:9200/store/books/_search‘ -d ‘{ "query" : { "bool" : { "filter" : { "term" : { "publish_date" : "2015-02-06" } } } } }‘
d)bool过滤查询,可以做组合过滤查询
# SELECT * FROM books WHERE (price = 35.99 OR price = 99.99) AND publish_date != "2016-02-06" # 类似的,Elasticsearch也有 and, or, not这样的组合条件的查询方式 # 格式如下: # { # "bool" : { # "must" : [], # "should" : [], # "must_not" : [], # } # } # # must: 条件必须满足,相当于 and # should: 条件可以满足也可以不满足,相当于 or # must_not: 条件不需要满足,相当于 not curl -XGET ‘http://hadoop100:9200/store/books/_search‘ -d ‘{ "query" : { "bool" : { "should" : [ { "term" : {"price" : 35.99}}, { "term" : {"price" : 99.99}} ], "must_not" : { "term" : {"publish_date" : "2016-02-06"} } } } }‘
e)嵌套查询
# SELECT * FROM books WHERE price = 35.99 OR ( publish_date = "2016-02-06" AND price = 99.99 ) curl -XGET ‘http://hadoop100:9200/store/books/_search‘ -d ‘{ "query": { "bool": { "should": [ { "term": { "price": 35.99 } }, { "bool": { "must": [ { "term": { "publish_date": "2016-02-06" } }, { "term": { "price": 99.99 } } ] } } ] } } }‘
f)range范围过滤
# SELECT * FROM books WHERE price >= 10 AND price < 99 # gt : > 大于 # lt : < 小于 # gte : >= 大于等于 # lte : <= 小于等于 curl -XGET ‘http://hadoop100:9200/store/books/_search‘ -d ‘{ "query": { "range" : { "price" : { "gte" : 10, "lt" : 99 } } } }
#name和author都必须包含Guide,并且价钱等于33.99或者188.99 curl -XGET ‘http://hadoop100:9200/store/books/_search‘ -d ‘{ "query": { "bool": { "must": { "multi_match": { "operator": "and", "fields": [ "name", "author" ], "query": "Guide" } }, "filter": { "terms": { "price": [ 35.99, 188.99 ] } } } } }‘
3、UPDATE操作
a)以通过覆盖的方式更新
curl -XPUT ‘http://192.168.10.16:9200/store/books/1‘ -d ‘{ "title": "Elasticsearch: The Definitive Guide", "name" : { "first" : "Zachary", "last" : "Tong" }, "publish_date":"2016-02-06", "price":"99.99" }‘
b)通过 _update API的方式单独更新你想要更新的
curl -XPOST ‘http://192.168.10.16:9200/store/books/1/_update‘ -d ‘{ "doc": { "price" : 88.88 } }‘
4、DELETE操作
curl -XDELETE ‘http://192.168.10.16:9200/store/books/1‘
5、查询所有(_search)
http://hadoop100:9200/store/books/_search
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