Lecture 06 - Data Handling in Flutter.pdf

Lecture 06 - Data Handling in Flutter.pdf

• 1.
  Course Code: CSE413 CourseTitle: Mobile Application Development Lecture-06
• 2.
  Data Handling Techniquesin Flutter Why Use Databases in Flutter? ● Persistent storage for user data ● Offline access to critical app data ● Optimized performance for structured/unstructured data ● Seamless integration with Flutter
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  Data Handling Techniquesin Flutter Local Databases ● SQLite (via sqflite package) ○ Relational database ○ Store structured data (tables, rows, columns) ○ Use for local, persistent storage
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  Data Handling Techniquesin Flutter Local Databases ● Hive (via hive package) ○ NoSQL database ○ Key-value store for simple, fast storage ○ Best for lightweight data storage ● Moor (via moor package) ○ SQLite wrapper with reactive streams ○ Ideal for more complex queries and real-time updates
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  Data Handling Techniquesin Flutter Remote Databases ● Firebase Firestore ○ Cloud-based NoSQL database ○ Real-time sync across devices ○ Automatic scaling ● REST API (via http package) (Representational State Transfer API) ○ Network-based data exchange ○ Communicate with external servers
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  Data Handling Techniquesin Flutter a. SQLite (via sqflite package) ● Description: SQLite is a self-contained, serverless relational database. It stores structured data (tables, rows, columns) locally on the device. ● Use Case: Use SQLite when you need to store relational data like user information, app settings, or any structured data.
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  Data Handling Techniquesin Flutter Implementation Steps 1. Add dependencies: sqflite, path_provider 2. Create database helper class 3. Perform CRUD operations
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  Data Handling Techniquesin Flutter Code final db = await openDatabase('app.db', version: 1, onCreate: (db, version) { return db.execute('CREATE TABLE users (id INTEGER PRIMARY KEY, name TEXT, age INTEGER)'); }); await db.insert('users', {'name': 'Alice', 'age': 25});
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  Data Handling Techniquesin Flutter Hive – NoSQL Key-Value Storage ● Fast and lightweight storage ● Stores data as key-value pairs (NoSQL) ● Good for caching and offline storage Implementation Steps 1. Add dependencies: hive, hive_flutter 2. Initialize Hive 3. Store and retrieve data
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  Data Handling Techniquesin Flutter Code var box = await Hive.openBox('myBox'); box.put('name', 'Alice'); print(box.get('name'));
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  Data Handling Techniquesin Flutter ObjectBox – Fast NoSQL Database ● High-performance database optimized for mobile ● Faster than SQLite & Hive ● Uses objects instead of tables/keys Implementation Steps 1. Add dependencies: objectbox 2. Define entity models 3. Insert and query data
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  Data Handling Techniquesin Flutter Code @Entity() class User { int id = 0; String name; int age; User({required this.name, required this.age}); } var box = store.box<User>(); box.put(User(name: 'Alice', age: 25));
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  Data Handling Techniquesin Flutter Firebase Firestore – Cloud NoSQL Database ● Stores and syncs data in real-time ● Ideal for multi-user apps (Like: Chat, Social Media) ● NoSQL JSON-based document storage Implementation Steps 1. Add dependencies: firebase_core, cloud_firestore 2. Initialize Firebase 3. Perform CRUD operations
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  Data Handling Techniquesin Flutter Code FirebaseFirestore.instance.collection('users').add({'name': 'Alice', 'age': 25});
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  Data Handling Techniquesin Flutter Choosing the Right Database ● Use SQLite if you need structured data with relationships. ● Use Hive for fast, lightweight key-value storage. ● Use ObjectBox for high-performance NoSQL needs. ● Use Firestore for cloud-based real-time apps.
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  Thank You