Shelve 是一个超简单的 No-SQL 持久层，它允许您简单地保存对象的映射。它是 Python 中常用的包，因为它允许您轻松地向任何应用程序添加持久性。
它的简单性意味着它有一定的局限性 - 但它却非常有用。您可以将任意可散列键映射到任何可序列化对象上。
Android 上有类似的东西吗？我正在编写一个非常简单的应用程序，我注意到我花了很多时间研究表格结构、选择和选择。插入语句。这是我在 Python 中几乎从未做过的事情，因为我通常有某种 NoSQL 替代方案。
我并不期望以完全相同的方式工作 - 显然 Python 和 Java 是具有非常不同特征的语言。我只是想要一些使用起来几乎同样简单并且需要更少的手动 SQL 操作的东西。
还有一件事 - 这是一个相当简单的应用程序。我更愿意引入最少的额外项目依赖项。将优先考虑只需要 Android API 的解决方案。
Shelve is an ultra-simple No-SQL persistence layer which allows you to trivially persist a mapping of objects. It's a commonly used package in Python because it allows you to trivially add persistence to any application.
It's simplistic nature means it's somewhat limited - but it's surprisingly useful. You can map any arbitrary hashable key onto any serializable object.
Does something like this exist for Android? I'm writing a very simple app, and I've noticed that I'm spending a lot of time faffing around with table structures, select & insert statements. That's the sort of thing I almost never do in Python since I'd usually have some kind of NoSQL alternative.
I'm not expecting to to work exactly the same way - clearly Python and Java are languages with very different characteristics. I just want something that nearly as simple to use and requires less manual SQL faffing.
One more thing - this is a fairly trivial app. I'd prefer to introduce the bare minimum of additional project dependencies. Preference will be given to solutions which require nothing more than the Android APIs.
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你说优先选择 Java API 答案，所以我可能不会优先，但 Couchbase Mobile 是我遇到过的最好的 Android No-SQL。
http://www.couchbase.org/get/couchbase-mobile-for -android/当前
You said preference to Java API answers so I probably won't get preference, but Couchbase Mobile is the best Android No-SQL I have ever come across.
http://www.couchbase.org/get/couchbase-mobile-for-android/current
您可以使用 SharedPrefences .android.com/guide/topics/data/data-storage.html" rel="nofollow">数据存储。这几乎就是你所需要的。为此，您不需要完整的 SQLite 功能。
You can use SharedPrefences from DataStore. It's pretty much what you need. You don't need full SQLite power for this.