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Introduction of PostgreSQL:

An open-source, robust object-relational database system is called PostgreSQL. Its proven design and more than 15 years of continuous development have given it a solid reputation for accuracy, data integrity, and dependability.

An international group of volunteers created the open-source relational database management system (DBMS) known as PostgreSQL, which is pronounced post-gress-Q-L. No company or other private entity controls PostgreSQL, and the source code is freely accessible.

PostgreSQL Setup Steps:

Downloading the installer

Visit the downloads page of EnterpriseDB’s website,
Download your preferred version from the list available.

Launching the installation

Run the downloaded dmg package as the administrator user. When you get the screen below, click on the “Next” button:

Selecting the install location

You will be asked to specify which directory you wish to use to install Postgres. Select your desired location and click “Next”:

Selecting components

You will next be asked to select the tools that you want to install along with the Postgres installation. PostgreSQL server and command line tools are compulsory. Stack Builder and pgAdmin 4 are optional. Please select from the list and click “Next”:

Selecting where to store data

You will be asked to select the location for your Postgres cluster’s Data Directory. Please select an appropriate location and click “Next”:

Setting the superuser password

You will be asked to provide the password of the Postgres Unix superuser, which will be created at the time of installation. Please provide an appropriate password and click “Next”:

Selecting the port number

You will be asked to select the port number on which the PostgreSQL server. will listen for incoming connections. Please provide an appropriate port number. (The default port number is 5432.) Make sure the port is open from your firewall and the traffic on that port is accessible. Click “Next”:

Setting locale

Please select the appropriate locale (language preferences) and click “Next”:

Review and installation

You will be provided a summary of your selections from the previous installation screens. Review it carefully and click “Next” to complete the installation:

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Frequently Asked Questions (FAQs)

What is PostgreSQL, and why would I want to implement it in a Flutter app?

PostgreSQL is a powerful open-source relational database management system known for its robust features, reliability, and extensibility. Implementing PostgreSQL in a Flutter app allows developers to securely store and manage data, perform complex queries, and ensure data integrity, making it ideal for a wide range of applications, from simple mobile apps to enterprise-level solutions.

How can I integrate PostgreSQL with a Flutter app?

To integrate PostgreSQL with a Flutter app, developers typically use client libraries or plugins that provide connectivity and interaction with the PostgreSQL database. These libraries, such as dart-pgsql or sqflite, enable developers to establish connections, execute SQL queries, and manage database transactions directly from their Flutter code.

What are the advantages of using PostgreSQL in a Flutter app?

Some advantages of using PostgreSQL in a Flutter app include its support for ACID transactions, data integrity constraints, advanced SQL features, scalability, and compatibility with various platforms and programming languages. Additionally, PostgreSQL offers robust security features, including authentication, authorization, and encryption, ensuring the confidentiality and integrity of stored data.

Can I use PostgreSQL with Flutter for both mobile and web apps?

Yes, PostgreSQL can be used with Flutter for both mobile and web apps. While mobile apps typically interact with a remote PostgreSQL server over a network connection, web apps can also utilize PostgreSQL for server-side data storage and management. By leveraging PostgreSQL’s cross-platform compatibility, developers can build Flutter apps that seamlessly integrate with PostgreSQL databases across different platforms.

What considerations should I keep in mind when implementing PostgreSQL in a Flutter app?

When implementing PostgreSQL in a Flutter app, developers should consider factors such as database schema design, query optimization, error handling, data synchronization, and security best practices. It’s essential to design an efficient database schema that meets the application’s requirements, optimize SQL queries for performance, handle errors gracefully, ensure data consistency across client and server, and implement proper security measures to protect sensitive data.

Are there any limitations or challenges associated with using PostgreSQL in a Flutter app?

While PostgreSQL offers many benefits, developers should be aware of potential limitations or challenges, such as database performance issues, network latency, connectivity issues, and compatibility with different Flutter platforms (iOS, Android, web). Additionally, developers may need to address platform-specific considerations, such as handling offline data storage and synchronization in mobile apps, or optimizing database connections and queries for web apps.

What resources are available to help me implement PostgreSQL in my Flutter app?

Developers can find resources such as documentation, tutorials, sample code, and community forums to help them implement PostgreSQL in their Flutter apps. Additionally, client libraries and plugins often provide documentation and examples to guide developers through the integration process. By leveraging these resources and seeking assistance from the Flutter and PostgreSQL communities, developers can overcome challenges and build robust, database-driven Flutter apps with PostgreSQL integration.

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How to Handle Offline Data Storage with Flutter Hive?

Introduction

The data storage locally is a necessity for virtually all apps. Storage and manipulating data is a vital aspect of developing apps and is the same for Flutter applications. Perhaps you’d like to cache requests from REST APIs, create an application that runs on the internet or store information about customers in a food delivery service.

Several options are available for developers to persist local data in Flutter.shared_preferences: Provides a good way to store small pairs of keys and values .sqlite : It’s a good choice when your database must handle complex relationships between relational data.

But, if you’re searching for a quick and secure local database that is also suitable using Flutter Web(), in this case, to manage offline data storage using Flutter Hive is among the most effective options available.

What is Hive in Flutter?

Hive is a light and lightning fast key-value database created in the pure language of Dart that lets you save and sync your application data offline.

As a key-value storage device created in Dart, Hive supports primitive and intricate data structures while delivering the highest degree of performance. Furthermore, it is secured with AES-256.

To illustrate Here is the graph below that compares Flutter Hive to other similar databases:

Getting Started with Handle Offline Data Storage with Flutter Hive

In this blog post, we’ll examine how to utilize the TypeAdapter in Flutter with the Hive DataBase. Additionally, we’ll create a simple one-page application that displays a user overview, allows you to add new users, update current ones, and remove users.

How to use Flutter Hive to Handle Offline Data Storage?

Step 1: Dependency installation

Two prerequisites are needed before we can utilize Hive.

                      
                        hive and hive_flutter
                       You need to add the Hive and hive_flutter packages to pubspec.yaml as follows:
                        dependencies:
                         Flutter:
                               sdk: flutter
                         hive: ^2.2.3
                         hive_flutter: ^1.1.0
                          Add the dev dependencies
                        dev_dependencies:
                         flutter_test:
                           sdk: flutter
                        hive_generator: ^1.1.3
                        build_runner: ^2.2.0

Step 2: Initialization Hive Database

The first step is to initialize Hive prior to calling runApp in the Flutter app.

                      
                         void main() async{
                        WidgetsFlutterBinding.ensureInitialized();
                          // Initializes Hive with a valid directory in your app files
                        await Hive.initFlutter();
                        runApp(const MyApp());
                       }

The initFlutter() function is provided by Hive.Basically, it initializes Hive by using the path returned by getApplicationDocumentsDirectory

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Profit from the benefits of Hivean easy key-value database that stores information locally. You will immediately see the benefits over Sqlite because Hive lets you modify the data on the devices you want to use it. Hire Flutter Developer

Box in Hive

Here’s how you can deal with offline data storage using Flutter Hive.

The data that is stored within Flutter Hive are arranged into boxes. The box is akin to the table that is used in SQL but does not have a structure and is able to contain everything. As I explained in my introduction Hive secures data.Additionally these boxes are able to be used to store sensitive data.

Utilizing key-value sets, Hive keeps its information. The first step is to open the box.

                      
                        void main() async{
                        WidgetsFlutterBinding.ensureInitialized();
                       // Initializes Hive with a valid directory in your app files
                        await Hive.initFlutter();
                       // open box
                       await Hive.openBox("userBox");
                       runApp(const MyApp());
                       }

Model class with TypeAdapter

Our example contains several users with information such as name, hobby, and description.

                      

                      import 'package:hive/hive.dart';

                        part 'user_model.g.dart';
                        
                        @HiveType(typeId: 0)
                        class UserModel extends HiveObject {
                        @HiveField(0)
                         final String name;
                         @HiveField(1)
                         final String hobby;
                         @HiveField(2)
                         final String description;
                        
                         UserModel({
                        required this.name,
                        required this.hobby,
                         required this.description,
                        });
                        }

The first step is to import the hive generator package. In order to generate the type adapter, add a section called user_model.g.dart.TypeAdapter does not need to be constructed manually since we are using the hive generator package.

It automatically builds TypeAdapters for virtually any class by using the hive_generator software pack You can observe that the userModel class has been notated with a variety of fields

@HiveType(): Use @HiveType() to make the model class obvious so the generator knows that this is supposed to be a TypeAdapter.

@HiveField(index): Notifying the fields of the class by a field with the associated index is required.

To construct a TypeAdapter class, run the following command. flutter packages pub run build_runner build

This file’s name is user_model.dart and the data_model.g.dart files will also be included, where the word “g” stands for generated. This means that user_model.g.dart is the new generated file.

It’s time to sign up for UserModelAdapter as it’s been successfully built

To achieve this, we have to create that adapter before running the app’s run function.

                      

                      void main() async{
                        WidgetsFlutterBinding.ensureInitialized();
                       // Initializes Hive with a valid directory in your app files
                        await Hive.initFlutter();
                       // Register Hive Adapter
                       Hive.registerAdapter(UserModelAdapter());
                       // open box
                       await Hive.openBox("userBox");
                       runApp(const MyApp());
                       }

CRUD operations

Creating Data in Hive

You can use the reference to the Hive box to add data by calling add() function.A key-value pair is accepted by this method.

                      

                      /// Add new user
                            Future addUser({required UserModel userModel}) async {
                             await box.add(userModel);
                            }

The dialog will appear when we press the floating button. Here, you can type in names, hobbies and descriptions. Following that, we click the add button and then the information will show.

The ValuelistenableBuilder() stream in Flutter Hive can also be used to listen to what is happening inside the box.

Retrieving Data in Hive

Box objects can be read by using the get() method. To retrieve its value, you simply need to provide the key, like this

                      

                     
                            var userHobby = box.get('hobby');
    
    In case you are using auto-incrementing values, you can use the getAt(index) method of the box object to read using the index,like this
    
    
    var userData = box.getAt(index);
    ValueListenableBuilder(
     valueListenable: HiveDataStore.box.listenable(),
       builder: (context, Box box, widget) {
       return SafeArea(
           child: box.length > 0 ? ListView.builder(
               shrinkWrap: true,
               itemCount: box.length,
               itemBuilder: (BuildContext context, int index) {
                 var userData = box.getAt(index);
                 return Container(
                   padding: const EdgeInsets.all(10),
                   margin: const EdgeInsets.all(10),
                   decoration: BoxDecoration(color: Colors.grey.withOpacity(0.1),
                       border: Border.all(color: Colors.blue.shade 900),
                       borderRadius: const BorderRadius.all(Radius.circular(10))),
                   child: Row(
                     children: [
                       Expanded(
                         flex: 1,
                         child: Column(
                           crossAxisAlignment: CrossAxisAlignment.start,
                           children: [
                             IntrinsicHeight(
                               child: Row(
                                 children: [
                                   Text(userData.name, style: const TextStyle(fontSize: 18, fontWeight: FontWeight.w700),
                                   ),
                                   VerticalDivider(color: Colors.blue.shade 900,thickness: 2,),
                                   Text(userData.description, style: const TextStyle(fontSize: 15, fontWeight: FontWeight.w500),
                                   ),
                                 ],
                               ),
                             ),
                             const SizedBox(height: 15),
                             RichText(text: TextSpan(text: 'Hobby: ', style: const TextStyle(color: Colors.black, fontSize: 16, fontWeight: FontWeight.w700),
                                 children: [
                                   TextSpan(text: userData.hobby, style: const TextStyle(fontSize: 16, fontWeight: FontWeight.w500)),
                                 ],
                               ),
                             ),
                           ],
                         ),
                       ),
                       Expanded(
                         flex: 0,
                           child: Row(
                             children: [
                               InkWell(
                                 onTap:(){
                                   isUpdate.value = true;
                                   nameEditingCtr.text = userData.name;
                                   hobbyEditingCtr.text = userData.hobby;
                                   descriptionEditingCtr.text = userData.description;
                                   _showDialog(context,index);
                                 },
                                 child: Icon(Icons.edit, size: 30, color: Colors.blue.shade 900,),
                               ),
                               const SizedBox(width: 10),
                               InkWell(
                                 onTap: ()async{
                                           await showDialog(
                                             context: context,
                                             builder: (context) => AlertDialog(
                                               title: Text('Are you sure you want to delete ${userData.name}?'),
                                               actions: [
                                                 TextButton(
                                                   style: ButtonStyle(
                                                     backgroundColor: MaterialStateProperty.all(Colors.blue.shade 900),
                                                     elevation: MaterialStateProperty.all(3),
                                                     shadowColor: MaterialStateProperty.all(Colors.blue.shade 900), //Defines shadowColor
                                                   ),
                                                   onPressed: () {dataStore.deleteUser(index: index);},
                                                   child: const Text('Yes', style: TextStyle(color: Colors.white),
                                                   ),
                                                 ),
                                                 TextButton(
                                                   style: ButtonStyle(backgroundColor: MaterialStateProperty.all(Colors.blue.shade 900),
                                                     elevation: MaterialStateProperty.all(3),
                                                     shadowColor: MaterialStateProperty.all(Colors.blue.shade 900), //Defines shadowColor
                                                   ),
                                                   onPressed: () {Navigator.of(context, rootNavigator: true).pop(); },
                                                   child: const Text('No',
                                                     style: TextStyle(color: Colors.white),
                                                   ),
                                                 ),
                                               ],
                                             ),
                                           );
                                         },
                                   child: Icon(Icons.delete,size:30,color: Colors.blue.shade 900,))
                             ],
                           )),
                     ],
                   ),
                 );
               }):const Center(child: Text("No Data Found"),));
     }
    )

Updating Data in Hive

The put() method can update the data you originally stored for a key.In this way, the newly provided value will be updated at that key.

                      

                      /// update user data
                            Future updateUser({required int index,required UserModel userModel}) async {
                             await box.putAt(index,userModel);
                            }

Here we have used the auto-incrementing values, you can use the putAt(index) method of the box object to update using the index.

Deleting Data in Hive

                      

                      In order to delete data, you can pass the key to the delete() method.
                        /// delete user
                        Future deleteUser({required int index}) async {
                         await box.deleteAt(index);
                        }

Here we have used the auto-incrementing values, you can use the deleteAt(index) method of the box object to delete using the index.

LazyBox

Each time we design the regular box, the contents are recorded in memory.Performance is higher as a result.

The LazyBox is a fantastic way to quickly access data when you have a lot of data within an archive and don’t wish to put it all in memory.

                      

                     var lazyBox = await Hive.openLazyBox('myLazyBox');
                     var value = await lazyBox.get('lazyVal');

Box Compression

We have now completed most of the coding for the app. It’s time to clean up: the Hive is an append-only store.It is possible to manually use the .compact() method or let Hive handle it for us.

As a result, I have overridden the dispose method in order to close the Openbox.

                      
                        @override
                        void dispose(){
                           // to free up space 
                          Hive.box('userBox').compact();
                          // close all the open boxes before closing the page.
                          Hive.close();
                        }

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Frequently Asked Questions (FAQs)

What is Hive in Flutter and why is it used for offline data storage?

Hive is a lightweight and fast key-value database written in Dart, specifically designed for Flutter applications. It is used for offline data storage in Flutter apps to persist data locally on the device, allowing users to access and manipulate data even when they are offline.

How does Hive differ from other offline data storage solutions in Flutter?

Unlike other offline data storage solutions in Flutter, such as SQLite or SharedPreferences, Hive offers a simpler and more efficient approach to data storage with its key-value database model. It provides faster read and write operations, support for complex data structures, and seamless integration with Flutter widgets.

What are the key features of Hive for offline data storage in Flutter?

Hive offers several key features for offline data storage, including fast read and write operations, support for encryption and compression, lazy loading of data, efficient memory management, type safety, and easy integration with Flutter’s reactive framework.

How do you set up Hive for offline data storage in a Flutter app?

Setting up Hive for offline data storage in a Flutter app involves adding the Hive package to the project dependencies, initializing Hive in the main application class, defining Hive boxes to store data models, and configuring adapters for serializing and deserializing complex objects.

What types of data can be stored using Hive in Flutter?

Hive supports storing various types of data, including primitive types (int, double, string, bool), lists, maps, custom objects, and enum types. It also provides support for type-safe queries and efficient data retrieval using indexes.

How does Hive handle data synchronization and conflict resolution in offline mode?

Hive does not handle data synchronization or conflict resolution in offline mode by default. It is up to the developer to implement strategies for handling conflicts, such as optimistic locking, manual conflict resolution, or data merge algorithms, depending on the application’s requirements.

What are some best practices for using Hive for offline data storage in Flutter?

Best practices for using Hive include defining clear data models with appropriate fields and data types, minimizing the size of stored data, using efficient data retrieval techniques (e.g., lazy loading), handling errors and exceptions gracefully, and periodically optimizing and compacting Hive databases.

How does Hive ensure data integrity and durability in Flutter applications?

Hive ensures data integrity and durability by employing ACID (Atomicity, Consistency, Isolation, Durability) properties, using transactional write operations, maintaining backup copies of database files, and providing error handling mechanisms for handling data corruption and recovery.

What are some common pitfalls to avoid when using Hive for offline data storage in Flutter?

Common pitfalls include overusing Hive boxes and keys, storing large amounts of data inefficiently, failing to handle exceptions and errors properly, not properly managing Hive database instances and closures, and neglecting to implement data encryption for sensitive information.

Where can developers find additional resources and tutorials for learning how to use Hive for offline data storage in Flutter?

Developers can find additional resources and tutorials on official Hive documentation, Flutter community forums like Stack Overflow and Reddit, Flutter development blogs and YouTube channels, online courses and tutorials, and GitHub repositories with sample projects and code examples. Additionally, exploring the source code of the Hive package itself can provide insights into its implementation and usage.

#fluttercommunity #flutterdatabase #flutterdb #flutterdev #flutterdevelopment #flutterhive #flutterlocaldatabase #flutterpackages #flutterplugins #flutterprogramming #flutterstorage #flutterstoragesolution #hivedatabase #hivedb #hiveintegration #hivepackage #hiveplugin #mobileappdevelopment #MobileDevelopment #nosql

Introduction of PostgreSQL:

PostgreSQL Setup Steps:

Downloading the installer

Launching the installation

Selecting the install location

Selecting components

Selecting where to store data

Setting the superuser password

Selecting the port number

Setting locale

Review and installation

Table of Contents

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Frequently Asked Questions (FAQs)

Introduction

What is Hive in Flutter?

Getting Started with Handle Offline Data Storage with Flutter Hive

How to use Flutter Hive to Handle Offline Data Storage?

Step 1: Dependency installation

Step 2: ​​Initialization Hive Database

Do you need help with a fast and secure local database with no native dependencies?

Box in Hive

Utilizing key-value sets, Hive keeps its information. The first step is to open the box.

Model class with TypeAdapter

Our example contains several users with information such as name, hobby, and description.

CRUD operations

Creating Data in Hive

Retrieving Data in Hive

Updating Data in Hive

Deleting Data in Hive

LazyBox

Box Compression

Table of Contents

Tags Cloud

Frequently Asked Questions (FAQs)

Step 2: Initialization Hive Database