6

我有以下文件：

{ _id: "123", type: "project", worksite_id: "worksite_1" }
{ _id: "456", type: "document", project_id: "123" }
{ _id: "789", type: "signature", document_id: "456" }

我的目标是运行查询并不可避免地对所有与worksite_id: worksite_1.

例子：

  1. 因为这个项目有我要找的工地
  2. 文件有那个项目
  3. 签名有那个文件

如果我想要该工作场所的所有内容，我应该能够检索所有这些文档。

通常我只会在worksite_id我的type:documentand中添加一个type:signature。但是，由于各种原因，项目中的工地可能会发生变化。

我想知道是否有一种方法可以创建索引或做一些我不想展示这些相似之处的事情。

这感觉就像它走在正确的道路上，但解释将文档放在我只想将它们分开的其他文档中。

4

2 回答 2

2

地图功能一次只考虑一个文档，因此除非该文档知道其他文档，否则您无法将它们链接在一起。您的结构意味着 SQL 术语中的三表连接。

对于您的结构，您可以期望的最好结果是两个请求的解决方案。您可以创建仅显示已签名文档的视图：

function (doc) {
  if (doc && doc.type && doc.type === "signature" && doc.document_id) {
    emit(doc.document_id, {_id: doc.document_id})
  }
}

并使用相同的技术，将项目链接到文档——但您无法将所有三个链接。

于 2018-12-19T08:46:37.583 回答
0

我想我有你要找的东西。

这里有一些数据：

{
  "docs": [
    {
        "_id": "123",
        "type": "project",
        "code": "p001"
    },
    {
        "_id": "1234",
        "type": "worksitelog",
        "documents": [
          {
            "timestamp": "20180921091501",
            "project_id": "123",
            "document_id": "457",
            "signature_id": "789"
          },
          {
            "timestamp": "20180921091502",
            "project_id": "123",
            "document_id": "457",
            "signature_id": "791"
          },
          {
            "timestamp": "20180921091502",
            "project_id": "123",
            "document_id": "458",
            "signature_id": "791"
          },
          {
            "timestamp": "20180921091502",
            "project_id": "123",
            "document_id": "456",
            "signature_id": "790"
          }
        ],
        "worksite_id": "worksite_2"
    },
    {
        "_id": "1235",
        "type": "worksitelog",
        "documents": [
          {
            "timestamp": "20180913101502",
            "project_id": "125",
            "document_id": "459",
            "signature_id": "790"
          }
        ],
        "worksite_id": "worksite_1"
    },
    {
        "_id": "124",
        "type": "project",
        "code": "p002"
    },
    {
        "_id": "125",
        "type": "project",
        "code": "p003"
    },
    {
        "_id": "456",
        "type": "document",
        "code": "d001",
        "project_id": "123",
        "worksite_id": "worksite_2"
    },
    {
        "_id": "457",
        "type": "document",
        "code": "d002",
        "project_id": "123",
        "worksite_id": "worksite_2"
    },
    {
        "_id": "458",
        "type": "document",
        "code": "d003",
        "project_id": "123",
        "worksite_id": "worksite_2"
    },
    {
        "_id": "459",
        "type": "document",
        "code": "d001",
        "project_id": "125",
        "worksite_id": "worksite_1"
    },
    {
        "_id": "789",
        "type": "signature",
        "user": "alice",
        "pubkey": "65ab64c64ed64ef41a1bvc7d1b",
        "code": "s001"
    },
    {
        "_id": "790",
        "type": "signature",
        "user": "carol",
        "pubkey": "tlmg90834kmn90845kjndf98734",
        "code": "s002"
    },
    {
        "_id": "791",
        "type": "signature",
        "user": "bob",
        "pubkey": "asdf654asdf6854awer654awer654eqr654wra6354f",
        "code": "s003"
    },
    {
        "_id": "_design/projDocs",
        "views": {
          "docsPerWorkSite": {
            "map": "function (doc) {\n  if (doc.type && ['worksitelog', 'document', 'project', 'signature'].indexOf(doc.type) > -1) {\n    if (doc.type == 'worksitelog') {\n      emit([doc.worksite_id, 0], null);\n      for (var i in doc.documents) {\n        emit([doc.worksite_id, Number(i)+1, 'p'], {_id: doc.documents[i].project_id});\n        emit([doc.worksite_id, Number(i)+1, 'd'], {_id: doc.documents[i].document_id});\n        emit([doc.worksite_id, Number(i)+1, 's'], {_id: doc.documents[i].signature_id});\n      }\n    }\n  }\n}"
          }
        },
        "language": "javascript"
    }
  ]
}

将该数据以stackoverflow_53752001.json.

使用 Fauxton 创建一个名为stackoverflow_53752001.

这是一个bash从文件stackoverflow_53752001.json into the databasestackoverflow_53752001` 加载数据的脚本。显然，您需要编辑前三个参数。修复它，然后将其粘贴到（Unix）终端窗口中：

USRID="you";
USRPWD="yourpwd";
HOST="yourdb.yourpublic.work";

COUCH_DATABASE="stackoverflow_53752001";
FILE="stackoverflow_53752001.json";
#
COUCH_URL="https://${USRID}:${USRPWD}@${HOST}";
FULL_URL="${COUCH_URL}/${COUCH_DATABASE}";
curl -H 'Content-type: application/json' -X POST "${FULL_URL}/_bulk_docs"  -d @${FILE};

在 Fauxton 中，选择数据库stackoverflow_53752001，然后在左侧菜单中选择“Design Documents”>>“projDocs”>>“Views”>>“docsPerWorkSite”。

你会看到这样的数据：

{"total_rows":17,"offset":0,"rows":[
  {"id":"1235","key":["worksite_1",0],"value":null},
  {"id":"1235","key":["worksite_1",1,"d"],"value":{"_id":"459"}},
          :                     :
          :                     :
  {"id":"1234","key":["worksite_2",4,"p"],"value":{"_id":"123"}},
  {"id":"1234","key":["worksite_2",4,"s"],"value":{"_id":"790"}}
]}

如果然后单击右上角的“选项”按钮，您将获得用于修改原始查询的选项表。挑选：

  • “包括文档”
  • 《键之间》
    • “开始键”：[“worksite_1”，0]
    • “结束键”：[“worksite_1”，9999]

点击“运行查询”，您应该会看到：

{"total_rows":17,"offset":0,"rows":[
  {"id":"1235","key":["worksite_1",0],"value":null,"doc":{"_id":"1235","_rev":"1-de2b919591c70f643ce1005c18da1c54","type":"worksitelog","documents":[{"timestamp":"20180913101502","project_id":"125","document_id":"459","signature_id":"790"}],"worksite_id":"worksite_1"}},
  {"id":"1235","key":["worksite_1",1,"d"],"value":{"_id":"459"},"doc":{"_id":"459","_rev":"1-5422628e475bab0c14e5722a1340f561","type":"document","code":"d001","project_id":"125","worksite_id":"worksite_1"}},
  {"id":"1235","key":["worksite_1",1,"p"],"value":{"_id":"125"},"doc":{"_id":"125","_rev":"1-312dd8a9dd432168d8608b7cd9eb92cd","type":"project","code":"p003"}},
  {"id":"1235","key":["worksite_1",1,"s"],"value":{"_id":"790"},"doc":{"_id":"790","_rev":"1-be018df4ecdf2e6add68a2758b9bd12a","type":"signature","user":"carol","pubkey":"tlmg90834kmn90845kjndf98734","code":"s002"}}
]}

如果您随后将开始键和结束键更改为["worksite_2", 0]，["worksite_2", 9999]您将看到第二个工作地点的数据。

为此，每次您将新文档和签名写入数据库时​​，您需要：

  1. 准备一个对象{ "timestamp": "20180921091502", "project_id": "123", "document_id": "457", "signature_id": "791" }
  2. 获取对应的工地日志记录
  3. 将对象附加到documents数组
  4. 放回修改后的工地日志记录

我假设每个文档有多个签名，因此您必须为每个文档编写日志记录。如果它变得太大，您可以更改worksite_id为类似worksite_1_201812的内容，我认为这将在不破坏查询逻辑的情况下每月为每个工作站点提供一个日志。

于 2018-12-21T17:32:21.933 回答