Azure cosmosdb 仅从条件返回子项的子集

Azure cosmosdb 仅从条件返回子项的子集,azure-cosmosdb,azure-cosmosdb-sqlapi,Azure Cosmosdb,Azure Cosmosdb Sqlapi,是否可以对子项执行条件查询?我正在尝试返回所有组,以及计数大于0的所有子组(以及这些子组)。请注意,如果计数大于0,子组也需要返回子组 文件: { "id": 1, "name": "name1", "groups": [ { "id": 1, "name": "name1", "subGroups": [ { "id": 1, "name": "name1", "

是否可以对子项执行条件查询?我正在尝试返回所有组,以及计数大于0的所有子组(以及这些子组)。请注意,如果计数大于0,子组也需要返回子组

文件:

{
  "id": 1,
  "name": "name1",
  "groups": [
    {
      "id": 1,
      "name": "name1",
      "subGroups": [
        {
          "id": 1,
          "name": "name1",
          "count": 4,
          "assests": [ "asset1", "asset2" ]
        },
        {
          "id": 2,
          "name": "name2",
          "count": 0,
          "assests": [ "asset1", "asset2" ]
        }
      ]
    },
    {
      "id": 2,
      "name": "name2",
      "subGroups": [
        {
          "id": 1,
          "name": "name1",
          "count": 4,
          "assests": [ "asset1", "asset2" ]
        },
        {
          "id": 2,
          "name": "name2",
          "count": 0,
          "assests": [ "asset1", "asset2" ]
        }
      ]
    }
  ]
}
通缉结果:

{
  "id": 1,
  "name": "name1",
  "groups": [
    {
      "id": 1,
      "name": "name1",
      "subGroups": [
        {
          "id": 1,
          "name": "name1",
          "count": 4,
          "assests": [ "asset1", "asset2" ]
        }
      ]
    },
    {
      "id": 2,
      "name": "name2",
      "subGroups": [
        {
          "id": 1,
          "name": "name1",
          "count": 2,
          "assests": [ "asset1", "asset2" ]
        }
      ]
    }
  ]
}
我试着通过加入来做,但还没有找到一种可以跳过某些子组而不跳过其他子组的方法。欢迎所有建议。

我建议您使用来实现您的期望结果。请参考我的示例代码:

function sample() {
    var collection = getContext().getCollection();
    var isAccepted = collection.queryDocuments(
        collection.getSelfLink(),
        'SELECT * FROM root r',
    function (err, feed, options) {
        if (err) throw err;
        if (!feed || !feed.length) {
            var response = getContext().getResponse();
            response.setBody('no docs found');
        }
        else {
            var returnArray = [];                      
            for(var i=0 ;i<feed.length;i++){
                var groupsArray = feed[i].groups;
                var map ={};    
                var groups = [];
                for(var j=0 ;j<groupsArray.length; j++){
                    var map1 = {};
                    map1["id"] = groupsArray[j].id;
                    map1["name"] = groupsArray[j].name;

                    var subGroupsArray = groupsArray[j].subGroups;
                    var sub = [];
                    for(var k=0 ;k<subGroupsArray.length;k++){
                        if(subGroupsArray[k].count > 0)
                            sub.push(subGroupsArray[k]);
                    }                    
                    map1["subGroups"] = sub;
                    groups.push(map1);
                }
                map["id"] = feed[i].id;
                map["name"] = feed[i].name;
                map["groups"] = groups;
                returnArray.push(map);
            }
            var response = getContext().getResponse();

            response.setBody(returnArray);

        }
    });

    if (!isAccepted) throw new Error('The query was not accepted by the server.');
}

这是我担心的。它非常针对开发人员,而不是DBA。但是谢谢你的回答,非常感谢。我等了一会儿,看看是否有人有查询方法。@ThomasSegato当然,我也会尝试深入研究sql。@ThomasSegato也许你可以在sql中使用udf函数。但这是不是同样的方法?如果您不使用查询,而是使用更多的开发方法,那么您的解决方案似乎就是我们所说的方向。更多的功能将适当地来,但现在我会去你的方式。谢谢你的帮助,非常感谢!
function test(groupsArray){                      
    var map ={};    
    var groups = [];
    for(var j=0 ;j<groupsArray.length; j++){
        var map1 = {};
        map1["id"] = groupsArray[j].id;
        map1["name"] = groupsArray[j].name;

        var subGroupsArray = groupsArray[j].subGroups;
        var sub = [];
        for(var k=0 ;k<subGroupsArray.length;k++){
            if(subGroupsArray[k].count > 0)
                sub.push(subGroupsArray[k]);
        }                    
        map1["subGroups"] = sub;
        groups.push(map1);
    }
    return groups;
}
SELECT c.id,c.name,udf.test(c.groups) as groups FROM c