DocumentDB SQL,其中对象数组与字符串数组匹配

时间:2019-06-09 16:22:02

标签: azure-cosmosdb

参考:DocumentDB SQL with ARRAY_CONTAINS

问题:对下面发生的事情是否有更好,更有效的查询?

在上面的参考问题中,编写了UDF以检查数组中的对象是否与传入的字符串匹配。在此变体中,我将一个字符串数组传递给UDF。

现在我有一个有效的 O(N ^ 2)版本,我希望CosmosDB可以使用更有效的解决方案。

function ScopesContainsNames(scopes, names){
    var s, _i,_j, _ilen, _jLen;
    for (_i = 0, _ilen = scopes.length; _i < _ilen; _i++) {
        for (_j = 0, _jLen = names.length; _j < _jLen; _j++) {
            s = scopes[_i];
            n = names[_j];
            if (s.name === n) {
                return true;
            }
        }
    }
    return false;
}

我的查询内容如下。

SELECT * FROM c WHERE udf.ScopesContainsNames(c.scopes, ["apples", "strawberries", "bananas"])

以下是我的文档的示例:

{
    "scopes": [
        {
            "name": "apples",
            "displayName": "3048b61e-06d8-4dbf-a4ab-d4c2ba0a8943/a"
        },
        {
            "name": "bananas",
            "displayName": "3048b61e-06d8-4dbf-a4ab-d4c2ba0a8943/a"
        }
    ],
    "enabled": true,
    "name": "dc1e4c12-95c1-4b7f-bf27-f60f0c29bf52/a",
    "displayName": "218aea3d-4492-447e-93be-2d3646802ac6/a",
    "description": "4aa62367-7421-4fb6-88c7-2699c9c309dd/a",
    "userClaims": [
        "98988d5b-38b5-400c-aecf-da57d2b66433/a"
    ],
    "properties": {
        "437d7bab-a4fb-4b1d-b0b9-f5111d01882a/a": "863defc1-c177-4ba5-b699-15f4fee78ea5/a"
    },
    "id": "677d4a49-a46c-4613-b3f6-f390ab0d013a",
    "_rid": "q6I9AOf180hJAAAAAAAAAA==",
    "_self": "dbs/q6I9AA==/colls/q6I9AOf180g=/docs/q6I9AOf180hJAAAAAAAAAA==/",
    "_etag": "\"00000000-0000-0000-1ede-f2bc622201d5\"",
    "_attachments": "attachments/",
    "_ts": 1560097098
}

1 个答案:

答案 0 :(得分:1)

如果我不误解您的要求,则需要搜索name包含scopes数组的任何["apples", "strawberries", "bananas"]属性的结果。

无需使用udf,请参阅我制作的示例文档,如下所示:

enter image description here

使用sql:

SELECT distinct c.scopes FROM c
join fruit in c.scopes
where Array_contains(["apples", "strawberries", "bananas"],fruit.name,false) 

结果:

enter image description here