Couchbase 建模技术

Question

我正在为我的团队做一些研究，试图了解 couchbase。现在，我正在研究 couchbase 中的建模实践。

我发现这篇写于 2016 年 8 月的文章谈到了couchbase modeling。

这表明不是只有一个文档

key : hernandez94
{
        "username" : "hernandez94",
        "firstName" : "Jennifer",
        "middleName" : "Maria",
        "lastName" : "Hernandez",
        "addresses" : [
                 { "type" : "home", "addr1" : "1929 Crisanto Ave", "address" : "Apt 123", "addr3" : "c/o  J. Hernandez", "city" : "Mountain View", "state" : "CA", "country" : "USA", "pcode" : "94040" },
                 { "type" : "work", "addr1" : "2700 W El Camino Real", "addr2" : "Suite #123", "city" : "Mountain View", "state" : "CA", "country" : "USA", "pcode" : "94040" }
        ],
        "createdate" : “2016-08-01 15:03:40”,
        "lastlogin": "2016-08-01 17:03:40",
        "pword": "app-hashed-password",
        "loc": "IP or fqdn",
        "enabled" : true,
        "sec-questions" : [
                 { "question1" : "Security question 1 goes here", "answer" : "Answer to security question 1 goes here" },
                 { "question2" : "Security question 2 goes here", "answer" : "Answer to security question 2 goes here" },
                 { "question3" : "Security question 3 goes here", "answer" : "Answer to security question 3 goes here" }
        ],
        "doc-type" : "user"
}

您将其拆分为多个文档： 用户文档

key : hernandez94

{
    "firstName" : "Jennifer",
    "middleName" : "Maria",
    "lastName" : "Hernandez",
    "addresses" : [
        { "type" : "home", "addr1" : "1929 Crisanto Ave", "address" : "Apt 123", "addr3" : "c/o J. Hernandez", "city" : "Mountain View", "state" : "CA", "country" : "USA", "pcode" : "94040" },
        { "type" : "work", "addr1" : "2700 W El Camino Real", "addr2" : "Suite #123", "city" : "Mountain View", "state" : "CA", "country" : "USA", "pcode" : "94040" }
    ]
    "createdate" : "2016-08-01 15:03:40",
    "doc-type" : "user"
}

登录文档

key : login-info::hernandez94

{
        "lastlogin": "2016-08-01 15:03:40",
        "pword": "app-hashed-password",
        "loc": "IP or fqdn",
        "enabled" : true,
        "doc-type" : "login-info",
        "username" : "hernandez94"
}

秒问题文档

key : sec-questions::hernandez94

{
 "question1" : { "question" : "Security question 1 goes here", "answer" : "Answer to security question 1 goes here" },
    "question2" : { "question" : "Security question 2 goes here", "answer" : "Answer to security question 2 goes here" },
    "question3" : { "question" : "Security question 3 goes here", "answer" : "Answer to security question 3 goes here" },
 "doc-type" : "sec-questions",
 "username" : "hernandez94"
}

由于这是一项较新的技术，做某事的最佳方式更频繁地变化，这种策略是否仍然可行？还是 N1QL 在 couchbase 5.0 上的性能更好，从而使这种建模技术过时了？应该将我的所有数据（每个用户）放在一个文档中还是将其拆分为 1000 万 x（子文档数）？我将拥有大约 1000 万用户。

谢谢

Answer 1

在不进行测量或不了解您的确切使用模式的情况下，我只能提供一般性建议。

我建议您考虑如何访问此用户文档。您是否经常只获取中心文档，还是通常将其与辅助文档结合起来并获取所有内容？如果前者占主导地位，请务必将文档分成几部分并仅获取您需要的内容。但如果后者占主导地位，请将所有数据保存在单个文档中，避免每次需要为用户获取数据时多次获取和连接的成本。