基于nested object实现博客与评论嵌套关系
创建索引,插入一条数据
PUT /blogs/_doc/1 { "title": "花无缺发表的一篇帖子", "content": "我是花无缺,大家要不要考虑一下投资房产和买股票的事情啊。。。", "tags": [ "投资", "理财" ], "comments": [ { "name": "小鱼儿", "comment": "什么股票啊?推荐一下呗", "age": 28, "stars": 4, "date": "2016-09-01" }, { "name": "黄药师", "comment": "我喜欢投资房产,风,险大收益也大", "age": 31, "stars": 5, "date": "2016-10-22" } ] }
查看_mappings
GET /blogs/_mappings { "blogs" : { "mappings" : { "properties" : { "comments" : { "properties" : { "age" : { "type" : "long" }, "comment" : { "type" : "text", "fields" : { "keyword" : { "type" : "keyword", "ignore_above" : 256 } } }, "date" : { "type" : "date" }, "name" : { "type" : "text", "fields" : { "keyword" : { "type" : "keyword", "ignore_above" : 256 } } }, "stars" : { "type" : "long" } } }, "content" : { "type" : "text", "fields" : { "keyword" : { "type" : "keyword", "ignore_above" : 256 } } }, "tags" : { "type" : "text", "fields" : { "keyword" : { "type" : "keyword", "ignore_above" : 256 } } }, "title" : { "type" : "text", "fields" : { "keyword" : { "type" : "keyword", "ignore_above" : 256 } } }, "userInfo" : { "properties" : { "userId" : { "type" : "long" }, "username" : { "type" : "text", "fields" : { "keyword" : { "type" : "keyword", "ignore_above" : 256 } } } } } } } } }
需求: 年龄是28岁的黄药师评论过的博客
GET /blogs/_search { "query": { "bool": { "must": [ { "match": { "comments.name": "黄药师" } }, { "match": { "comments.age": 28 } } ] } } }
结果
{ "took" : 158, "timed_out" : false, "_shards" : { "total" : 1, "successful" : 1, "skipped" : 0, "failed" : 0 }, "hits" : { "total" : { "value" : 1, "relation" : "eq" }, "max_score" : 1.8630463, "hits" : [ { "_index" : "blogs", "_type" : "_doc", "_id" : "1", "_score" : 1.8630463, "_source" : { "title" : "花无缺发表的一篇帖子", "content" : "我是花无缺,大家要不要考虑一下投资房产和买股票的事情啊。。。", "tags" : [ "投资", "理财" ], "comments" : [ { "name" : "小鱼儿", "comment" : "什么股票啊?推荐一下呗", "age" : 28, "stars" : 4, "date" : "2016-09-01" }, { "name" : "黄药师", "comment" : "我喜欢投资房产,风,险大收益也大", "age" : 31, "stars" : 5, "date" : "2016-10-22" } ] } } ] } }
归根到底 还是object类型数据结构的底层存储导致的查询不正确
{ "title": [ "花无缺", "发表", "一篇", "帖子" ], "content": [ "我", "是", "花无缺", "大家", "要不要", "考虑", "一下", "投资", "房产", "买", "股票", "事情" ], "tags": [ "投资", "理财" ], "comments.name": [ "小鱼儿", "黄药师" ], "comments.comment": [ "什么", "股票", "推荐", "我", "喜欢", "投资", "房产", "风险", "收益", "大" ], "comments.age": [ 28, 31 ], "comments.stars": [ 4, 5 ], "comments.date": [ 2016-09-01, 2016-10-22 ] }
object类型底层数据结构,会将一个json数组中的数据,进行扁平化,所以,直接命中了这个document,name=黄药师,age=28,在范围之内,正好符合,所以被查询出来
解决object查询不对的问题
引入nested object类型,来解决object类型底层数据结构导致的问题,修改mapping,将comments的类型从object设置为nested
PUT /blogs { "mappings": { "properties": { "comments": { "type": "nested", "properties": { "name": { "type": "text" }, "comment": { "type": "text" }, "age": { "type": "short" }, "stars": { "type": "short" }, "date": { "type": "date" } } } } } }
写数据
PUT /blogs/_doc/1 { "title": "花无缺发表的一篇帖子", "content": "我是花无缺,大家要不要考虑一下投资房产和买股票的事情啊。。。", "tags": [ "投资", "理财" ], "comments": [ { "name": "小鱼儿", "comment": "什么股票啊?推荐一下呗", "age": 28, "stars": 4, "date": "2016-09-01" }, { "name": "黄药师", "comment": "我喜欢投资房产,风,险大收益也大", "age": 31, "stars": 5, "date": "2016-10-22" } ] }
nested object 存储如下:
{ "comments.name": [ "小鱼儿" ], "comments.comment": [ "什么", "股票", "推荐" ], "comments.age": [ 28 ], "comments.stars": [ 4 ], "comments.date": [ 2014-09-01 ] } { "comments.name": [ "黄药师" ], "comments.comment": [ "我", "喜欢", "投资", "房产", "风险", "收益", "大" ], "comments.age": [ 31 ], "comments.stars": [ 5 ], "comments.date": [ 2014-10-22 ] } { "title": [ "花无缺", "发表", "一篇", "帖子" ], "body": [ "我", "是", "花无缺", "大家", "要不要", "考虑", "一下", "投资", "房产", "买", "股票", "事情" ], "tags": [ "投资", "理财" ] }
再次查询
GET /blogs/_search { "query": { "bool": { "must": [ { "nested": { "path": "comments", "query": { "bool": { "must": [ { "match": { "comments.name": "黄药师" } }, { "match": { "comments.age": 31 } } ] } } } } ] } } }
有结果
立志如山 静心求实
浙公网安备 33010602011771号