我有一个多维数组，我想用CouchDB索引(确实使用Cloudant).我有一些用户，其中包含他们所属的团队的列表.我想搜索找到该团队的每个成员.因此，请获取具有ID为79d25d41d991890350af672e0b76faed的团队对象的所有User对象.我试图在"Teams.id"上创建一个json索引，但由于它不是直线数组而是多维数组，因此无法正常工作.
I have a multidimensional array that I want to index with CouchDB (really using Cloudant). I have users which have a list of the teams that they belong to. I want to search to find every member of that team. So, get me all the User objects that have a team object with id 79d25d41d991890350af672e0b76faed. I tried to make a json index on "Teams.id", but it didn't work because it isn't a straight array but a multidimensional array.
用户
{ "_id": "683be6c086381d3edc8905dc9e948da8", "_rev": "238-963e54ab838935f82f54e834f501dd99", "type": "Feature", "Kind": "Profile", "Email": "gc@gmail", "FirstName": "George", "LastName": "Castanza", "Teams": [ { "id": "79d25d41d991890350af672e0b76faed", "name": "First Team", "level": "123" }, { "id": "e500c1bf691b9cfc99f05634da80b6d1", "name": "Second Team Name", "level": "" }, { "id": "4645e8a4958421f7d843d9b34c4cd9fe", "name": "Third Team Name", "level": "123" } ], "LastTeam": "79d25d41d991890350af672e0b76faed" }推荐答案
这很像我在 Cloudant选择器查询，但这是适用于您的问题的交易:
This is a lot like my response at Cloudant Selector Query but here's the deal, applied to your question:
运行此查询的最简单方法是使用"Cloudant Query"(或"Mango"，在即将发布的CouchDB 2.0版本中称为"Mango")，而不是CouchDB中的传统MapReduce视图索引系统. (此博客涵盖了以下差异: cloudant/blog/mango-json-vs-text-indexes/，这是一个概述: developer.ibm/clouddataservices/2015/11/24/cloudant-query-json-index-arrays/).
The easiest way to run this query is using "Cloudant Query" (or "Mango", as it's called in the forthcoming CouchDB 2.0 release) -- and not the traditional MapReduce view indexing system in CouchDB. (This blog covers the differences: cloudant/blog/mango-json-vs-text-indexes/ and this one is an overview: developer.ibm/clouddataservices/2015/11/24/cloudant-query-json-index-arrays/).
您的CQ索引应如下所示:
Here's what your CQ index should look like:
{ "index": { "fields": [ {"name": "Teams.[].id", "type": "string"} ] }, "type": "text" }随后的查询如下:
{ "selector": { "Teams": {"$elemMatch": {"id": "79d25d41d991890350af672e0b76faed"}} }, "fields": [ "_id", "FirstName", "LastName" ] }您可以在Cloudant仪表板的查询"部分中自行尝试，也可以通过curl进行如下操作:
You can try it yourself in the "Query" section of the Cloudant dashboard or via curl with something like this:
curl -H "Content-Type: application/json" -X POST -d '{"selector":{"Teams":{"$elemMatch":{"id":"79d25d41d991890350af672e0b76faed"}}},"fields":["_id","FirstName","LastName"]}' broberg.cloudant/teams_test/_find该数据库是世界可读的，因此您可以在此处查看我在其中创建的示例文档: broberg.cloudant/teams_test/_all_docs?include_docs=true
That database is world-readable, so you can see the sample documents I created in there here: broberg.cloudant/teams_test/_all_docs?include_docs=true
挖出Seinfeld主题:D
Dig the Seinfeld theme :D