This article explains how to migrate a SQL database into a NoSQL database. Developers who have a fundamental understanding of how both of these databases work, will find this article to be very helpful. CoreData works with relational databases, however Firestore stores data as documents, so converting CoreData to Firestore is not a straight-forward process. Let’s quickly review the terminology for more in-depth comprehension before moving on.
According to Apple: Use Core Data to save your application’s permanent data for offline use, to cache temporary data, and to add undo functionality to your app on a single device. To sync data across multiple devices in a single iCloud account, Core Data automatically mirrors your schema to a CloudKit container.
According to Firebase: Firestore is a NoSQL document database that lets you easily store, sync, and query data for your mobile and web apps at global scale. It is a flexible, scalable database for mobile, web, and server development from Firebase and Google Cloud. It keeps your data in sync across client apps through real-time listeners and offers offline support for mobile and web so you can build responsive apps that work regardless of network latency or Internet connectivity. Cloud Firestore also offers seamless integration with other Firebase and Google Cloud products, including Cloud Functions.
An Object graph represents the relationship between two objects through references or pointers. The objects in an object graph can have complex relationships with each other, such as parent-child relationships or many-to-many relationships.
When faced with the requirement, there are two main options available
Although the Graph Data Structure and the Object Graph are not exactly identical, they do have several features in common, such as the ability to specify relationships between objects and to traverse relationships using key paths.
So, we can use a Graph Traversal Algorithm to parse the data inside the CoreData.
We have two types of algorithms for this approach.
The use of the DFS algorithm can be advantageous when dealing with large depth CoreData object graphs, as it can be more memory-efficient compared to the BFS.
Here are the steps to be followed.
Graphs and its traversal algorithms
Core Data (CRUD) with Swift 4.2 for Beginners | by Ankur Vekariya | Medium
Step-by-Step Guide to Use Firebase Firestore in an iOS App | by eSparkBiz | Quick Code | Medium
CoreData is a framework provided by Apple for managing the model layer objects in an iOS or macOS application. It enables developers to persistently store data in the application, manage object graphs, and perform complex data queries. CoreData abstracts the underlying database implementation, allowing developers to focus on the application logic rather than low-level database operations.
To convert from CoreData to Firestore, begin by mapping CoreData entities to Firestore documents and collections. Next, migrate data from CoreData to Firestore using a script or manual process, ensuring data integrity and consistency. Finally, update your application code to use Firestore’s API for data retrieval and manipulation, and test thoroughly to ensure proper functionality and performance.
Firestore is a flexible, scalable NoSQL database offered by Google Cloud Platform. It allows for real-time data synchronization and offers seamless integration with mobile and web applications. With its document-oriented structure and automatic scaling, Firestore enables efficient data storage and retrieval, making it ideal for building dynamic and responsive applications.
A graph traversal algorithm, such as Breadth-First Search (BFS) or Depth-First Search (DFS), processes each node in a graph by systematically visiting all its vertices. BFS explores nodes level by level using a queue, while DFS dives deep into each branch using a stack before backtracking. These algorithms help in effectively parsing and handling complex data structures.
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