Question

我正在研究将用于报告（只读）的原型，其中记录是嵌入到单个文档中的非常丰富的对象集。基本上文档结构是这样的（为简洁起见编辑）：

    {
  "_id": ObjectId("56b3af6f84ef45c8903acc51"),
  "id": "7815dd97-e895-46e5-b6c9-45184c6eae89",
  "survey": {
    "id": "1fb21c69-6a5c-4805-b1cf-fabef7a5d0e6",
    "type": "Survey",
    "data": {
      "description": "Testing reporting and data ouput",
      "id": "1fb21c69-6a5c-4805-b1cf-fabef7a5d0e6",
      "start_date": "2016-02-04T11:12:46Z",
      "questions": [
        {
          "sequence": 1,
          "modified_at": "2016-02-04T16:11:04.505849+00:00",
          "id": "2a77921b-6853-463b-80e7-5713c82c51ca",
          "previous_question": null,
          "created_at": "2016-02-04T16:10:56.647746+00:00",
          "parent_question": "",
          "next_question": "",
          "validators": [
            "required",
            "email"
          ],
          "question_data": {
            "modified_at": "2016-02-04T16:10:37.542715+00:00",
            "type": "open-ended",
            "text": "Please provide your email address",
            "id": "27aa00db-4a56-4a3e-bc30-226179062af0",
            "reporting_name": "email address",
            "created_at": "2016-02-04T16:10:37.542695+00:00"
          }
        },
        {
          "sequence": 2,
          "modified_at": "2016-02-04T16:09:53.539073+00:00",
          "id": "c034819d-9281-4943-801f-c53f4047d03e",
          "previous_question": null,
          "created_at": "2016-02-04T16:09:53.539051+00:00",
          "parent_question": "",
          "next_question": null,
          "validators": [
            "alpha-numeric"
          ],
          "question_data": {
            "modified_at": "2016-02-04T16:05:31.008363+00:00",
            "type": "open-ended",
            "text": "Is there anything else that we could have done to improve your experience?",
            "id": "e33c7804-20cb-4473-abfa-77b3c2a3113c",
            "reporting_name": "more info open-ended",
            "created_at": "2016-02-01T20:19:55.036899+00:00"
          }
        },
        {
          "sequence": 1,
          "modified_at": "2016-02-04T16:08:55.681461+00:00",
          "id": "f91fd70e-f204-4c38-9a56-dd6ff25e4cd8",
          "previous_question": "",
          "created_at": "2016-02-04T16:08:55.681441+00:00",
          "parent_question": "",
          "next_question": null,
          "validators": [
            "required"
          ],
          "question_data": {
            "modified_at": "2016-02-04T16:04:56.848528+00:00",
            "type": "nps",
            "text": "On a scale of 0-10 how likely are you to recommend us to a friend?",
            "id": "fdb6b74d-96a3-4680-af35-8b2f6aa2bbc9",
            "reporting_name": "key nps",
            "created_at": "2016-02-01T20:19:27.371920+00:00"
          }
        }
      ],
      "name": "Reporting Survey",
      "end_date": "2016-02-11T11:12:47Z",
      "trigger_active": false,
      "created_at": "2016-02-04T16:13:16.808108Z",
      "url": "http://www.peoplemetrics.com",
      "fatigue_limit": "monthly",
      "modified_at": "2016-02-04T16:13:16.808132Z",
      "template": {
        "id": "0ea02379-c80b-4e17-b0a6-d621d49076b9",
        "type": "Template"
      },
      "landing_page": null,
      "trigger": null,
      "slug": "test-reporting-survey"
    }
  },
  "invite_code": "7801",
  "end_date": null,
  "created_at": "2016-02-04T19:38:31.931147Z",
  "url": "http://127.0.0.1:8000/api/v0/responses/7815dd97-e895-46e5-b6c9-45184c6eae89",
  "answers": {
    "data": [
      {
        "id": "bcc3d0dd-5419-4661-9900-ccda3ac9a308",
        "end_datetime": "2016-01-22T19:57:03Z",
        "survey_question": {
          "id": "662fcdf9-3c92-415e-b779-ac5b0fd330d3",
          "type": "SurveyQuestion"
        },
        "response": {
          "id": "7815dd97-e895-46e5-b6c9-45184c6eae89",
          "type": "Response"
        },
        "modified_at": "2016-02-04T19:38:31.972717Z",
        "value_type": "number",
        "created_at": "2016-02-04T19:38:31.972687Z",
        "value": "10",
        "slug": "",
        "start_datetime": "2016-01-21T10:10:21Z"
      },
      {
        "id": "8696f11e-679a-43da-b6e2-aee72a70ca9b",
        "end_datetime": "2016-01-28T13:45:37Z",
        "survey_question": {
          "id": "f118c9dd-1c03-47e0-80ef-2a36eb3b9a29",
          "type": "SurveyQuestion"
        },
        "response": {
          "id": "7815dd97-e895-46e5-b6c9-45184c6eae89",
          "type": "Response"
        },
        "modified_at": "2016-02-04T19:38:32.001970Z",
        "value_type": "boolean",
        "created_at": "2016-02-04T19:38:32.001939Z",
        "value": "True",
        "slug": "",
        "start_datetime": "2016-02-15T04:51:24Z"
      }
    ]
  },
  "modified_at": "2016-02-04T19:38:31.931171Z",
  "start_date": "2016-02-01T16:14:13Z",
  "invite_date": "2016-02-01T13:14:08Z",
  "contact": {
    "id": "94833455-b9b8-4206-9bc9-a2f96c1706ca",
    "type": "Contact",
    "external_contactid": null,
    "name": "Miss Marceline Herzog PhD"
  },
  "referring_source": "web"
}

给定这种格式的结构，我不确定使用Mongoose作为ORM的最佳前进路径。同样，这是只读的，所以我认为创建嵌套模式似乎有效，但映射本身看起来至少是乏味的。是否有更好/不同的选项可用于嵌入式内容？

Answer 1

有趣。首先，我想如果我需要所有文档及其嵌入的子文档字段。你说它是只读的，所以每次调用都需要整个文件吗？

如果没有，我建议您查看mongo drivers（node.js，.NET，Python等），并尽可能使用aggregation pipelines来简化文档。

如果你使用的是Mongoose，你最终可能会得到两个或三个模式，并且列表中有模式。 Mongoose docs例如

 var surveySchema = new Schema(
    { "type"        : string,
      "data"        : [dataSchema],
    "invite_code"   : string,
    "end_date"      : DateTime,
    "created_at"    : DateTime,
    "url"           : string,
    "answers"       : { "data": [answersSchema]},
    "modified_at"   : DateTime,
    "start_date"    : DateTime,
    "invite_date"   : DateTime,
    "contact"       : [ContactSchema],
    "referring_source"  : string
});

或者，您可以使用mongoose references并根据您需要为报告使用的数据构建自己的架构。一个简单的例子：

var surveySchema = {
          "id"      : { type: Schema.Types.ObjectId } 
    "description"   : { type: string , ref: dataSchema },
    "contactSchema" : { type: string , ref: contactSchema }
}

将Mongoose与富文档一起使用？

1 个答案: