reading and writing data in db sqlite ios

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However, to enforce serial access of SQLite.Database, I always write a wrapper class around SQLite. This book starts with the architecture of SQLite database and introduces you to concepts in. This combination offers the potential to create powerful, data-persistent applications. Apples iOS SDK provides native support for SQLite databases.

Reading and writing data in db sqlite ios code#

This was a conscious choice because 1) it’s easier to reason about single-threaded code and 2) SQLite is fast enough to be accessed serially in all of the apps I’m working on. The ability to use SQLite with iOS provides a great opportunity to build amazing apps. Thread safetyīe aware that, although SQLite is, by default, thread-safe, SQLite.Database is not. If anything besides SQLITE_ROW OR SQLITE_DONE is returned from sqlite3_step(), then we throw an error. Finally, when sqlite3_step() returns SQLITE_DONE, then we return the array of fetched rows to the caller. There’s not much we can do about the OpaquePointer, but we’ll keep it hidden inside of a SQLite.Database class.Ĭlass func open ( at path : String ) throws -> OpaquePointer Īs long as sqlite3_step() returns SQLITE_ROW, we continue appending new rows to the result array. We can pass a simple Swift.String file path directly to the filename parameter in sqlite3_open(). Thankfully, Swift’s interoperability with C is pretty great. In C, it looks like int sqlite3_open(const char *filename, sqlite3 **ppDb), which translates to Swift as func sqlite3_open(_ filename: UnsafePointer!, _ ppDb: UnsafeMutablePointer!) -> Int32. The best place to start is opening a database with SQLite’s open function. Hiding these opaque types is my primary goal of wrapping SQLite in a Swift interface. SQLite’s C interface is exposed to Swift as a bunch of OpaquePointers and Int32 values. Plus, writing a wrapper around SQLite is pretty easy and gives us experience interacting with SQLite at a low level. I like to limit the dependencies I add to my apps and I’m very opinionated. As I mentioned in my previous article, there are already plenty of high-quality, open-source SQLite wrappers around, including GRDB and SQLite.swift. When it’s time to start implementing a real SQLite-based persistence layer for a Swift iOS or macOS app, one of the first things we’ll need to do is write a Swift wrapper around SQLite. Reacting to changes to data in the SQLite database.

Reading and writing data in db sqlite ios series#

This is the second post in a series about powering modern apps with SQLite. You can download the documentation here.Building a lightweight SQLite wrapper in Swift

If you are familiar with AppleScript, you can write your own script to access the data in Things 3 on your Mac. Access data through AppleScript (Mac only)

We do not provide a shortcut for this, so you would need to write your own. If you’re familiar with Apple Shortcuts, you can use actions to get data out of Things.

Reading and writing data in db sqlite ios install#

In case you have access to a Mac, you can install a Things 3 trial version, connect it to your Things Cloud account to download your data, and then print it from the Mac trial app. If you only have the iOS apps, this print option will not be available to you, sorry.

Reading and writing data in db sqlite ios pdf#

Even though this will duplicate some of the content, it will also ensure that everything is included in your PDF files. To make sure that you won’t miss anything, we recommend you print each list separately, starting with the default lists and then going through all your Areas as well as Projects. Name the PDF file with the name of the list you are printing from.In the menu bar at the top of your screen, click File → Print.You will be able to search the PDF for keywords, as well as select text inside of the PDF files to copy and paste into other apps. If you’re looking for a non-technical solution to get your data out of Things 3, the easiest path forward would be to simply print all of your lists to PDF. It has a free trial available, and of course there are other applications out there which are free of charge. To view the data in the SQLite file you need a viewer application. If you are on iOS 13 or older, the file you’re getting is called Things.sqlite3 and it can be viewed in a separate app as explained below. That will produce Things Database.thingsdatabase which contains the actual database file. Locate it where you saved it in iCloud Drive and tap it once. If you not do own a Mac, you can only unpack the. We recommend that you save the file into iCloud Drive, or, if you own a Mac, we suggest you select to AirDrop it to your Mac as it is the most secure way of transmitting the data. The file you’re getting is called Things Database.aar. Tap General → Diagnostics → Enter Code.