DataSet is a disconnected architecture it represents the data in table structure which means the data into rows and columns. Dataset is the local copy of your database which exists in the local system and makes the application execute faster and reliable. DataSet works like a real database with an entire set of data which includes the constraints, relationship among tables, and so on. It will be found in the namespace “System. Data”.
Syntax:
The syntax of DataSet as shown below,
public class DataSet : System.ComponentModel.MarshalByValueComponent, IListSource, ISupportInitializeNotification, ISerializable, IXmlSerializable { }
How DataSet Works?
DataSet is a collection of data tables that contains the relational data in table structure. It signifies the subset of databases in memory management. The DataSet is a disconnected architecture that does not require an active or open connection to the database. In this way, we can obtain the data without interacting with any data source because of a disconnected environment. It belongs to the namespace System.Data. Let’s understand the working procedure of DataSet in C# with example, We creating two data tables Employee and Salary tables and then create data columns to add the columns into the tables and finally create data rows to add records into both the tables. Let’s see the following coding below,
Creating the DataTable EmployeeDetails
DataTable EmployeeDetails = new DataTable("EmployeeDetails"); //to create the column and schema DataColumn EmployeeID = new DataColumn("EmpID", typeof(Int32)); EmployeeDetails.Columns.Add(EmployeeID); DataColumn EmployeeName = new DataColumn("EmpName", typeof(string)); EmployeeDetails.Columns.Add(EmployeeName); DataColumn EmployeeMobile = new DataColumn("EmpMobile", typeof(string)); EmployeeDetails.Columns.Add(EmployeeMobile); //to add the Data rows into the EmployeeDetails table EmployeeDetails.Rows.Add(1001, "Andrew", "9000322579"); EmployeeDetails.Rows.Add(1002, "Briddan", "9081223457");
For the salary table we creating the DataTable with the name SalaryDetails with attributes SalaryID, EmployeeID, EmployeeName, and Salary add the columns to the salary tables and then create two data rows and add those data rows into Salary tables.
Then create the DataTable SalaryDetails,
DataTable SalaryDetails = new DataTable("SalaryDetails"); //to create the column and schema DataColumn SalaryId = new DataColumn("SalaryID", typeof(Int32)); SalaryDetails.Columns.Add(SalaryId); DataColumn empId = new DataColumn("EmployeeID", typeof(Int32)); SalaryDetails.Columns.Add(empId); DataColumn empName = new DataColumn("EmployeeName", typeof(string)); SalaryDetails.Columns.Add(empName); DataColumn SalaryPaid = new DataColumn("Salary", typeof(Int32)); SalaryDetails.Columns.Add(SalaryPaid); //to add the Data rows into the SalaryDetails table SalaryDetails.Rows.Add(10001, 1001, "Andrew",42000); SalaryDetails.Rows.Add(10002, 1002, "Briddan",30000);
To create the DataSet with DataTable,
As we discussed the DataSet with the collection of DataTables, then create object for DataSet and then add two data tables (Employee and Salary) into the DataSet.
//to create the object for DataSet DataSet dataSet = new DataSet(); //Adding DataTables into DataSet dataSet.Tables.Add(EmployeeDetails); dataSet.Tables.Add(SalaryDetails); By using index position, we can fetch the DataTable from DataSet, here first we added the Employee table so the index position of this table is 0, let's see the following code below //retrieving the DataTable from dataset using the Index position foreach (DataRow row in dataSet.Tables[0].Rows) { Console.WriteLine(row["EmpID"] + ", " + row["EmpName"] + ", " + row["EmpMobile"]); } Then second table we added was SalaryDetails table which the index position was 1, now we fetching this second table by using the name, so we fetching the DataTable from DataSet using the name of the table name "SalaryDetails", //retrieving DataTable from the DataSet using name of the table foreach (DataRow row in dataSet.Tables["SalaryDetails"].Rows) { Console.WriteLine(row["SalaryID"] + ", " + row["EmployeeID"] + ", " + row["EmployeeName"] + ", " + row["Salary"]); }
DataSet in C# provides four constructors, are as follows:
- DataSet() it derives from the System.Data.DataSet class and initializes the new instance of a class.
- DataSet(String data SetName) it represents the name and it initializes the new instance of the System.Data.DataSet class with the name it contains the string parameter dataSetName which specifies the name of the System.Data.DataSet.
- DataSet(Serialization info, StreamingContext context) is the same as above it initialize the new instance of the System. Data. DataSet class which gives the serialization information and the context. It contains two parameters where the info is the data to make them serialize or de-serialize an object. The context represents the given serialized stream from source to destination.
- DataSet(SerializationInfo info, StreamingContext context, bool ConstructSchema) is the same as above it initializes a new instance of System. Data. DataSet class.
Examples
Dataset is the local copy of your database which exists in the local system and makes the application execute faster and reliable. DataSet works like a real database with an entire set of data which includes the constraints, relationship among tables, and so on. DataSet is a disconnected architecture it represents the data in table structure which means the data into rows and columns.
Let’s see the example programmatically as follows,
Program
using System; using System.Collections.Generic; using System. Data; namespace Console_DataSet { class Program { static void Main(string[] args) { try { // building the EmployeeDetails table using DataTable DataTable EmployeeDetails = new DataTable("EmployeeDetails"); //to create the column and schema DataColumn EmployeeID = new DataColumn("EmpID", typeof(Int32)); EmployeeDetails.Columns.Add(EmployeeID); DataColumn EmployeeName = new DataColumn("EmpName", typeof(string)); EmployeeDetails.Columns.Add(EmployeeName); DataColumn EmployeeMobile = new DataColumn("EmpMobile", typeof(string)); EmployeeDetails.Columns.Add(EmployeeMobile); //to add the Data rows into the EmployeeDetails table EmployeeDetails.Rows.Add(1001, "Andrew", "9000322579"); EmployeeDetails.Rows.Add(1002, "Briddan", "9081223457"); // to create one more table SalaryDetails DataTable SalaryDetails = new DataTable("SalaryDetails"); //to create the column and schema DataColumn SalaryId = new DataColumn("SalaryID", typeof(Int32)); SalaryDetails.Columns.Add(SalaryId); DataColumn empId = new DataColumn("EmployeeID", typeof(Int32)); SalaryDetails.Columns.Add(empId); DataColumn empName = new DataColumn("EmployeeName", typeof(string)); SalaryDetails.Columns.Add(empName); DataColumn SalaryPaid = new DataColumn("Salary", typeof(Int32)); SalaryDetails.Columns.Add(SalaryPaid); //to add the Data rows into the SalaryDetails table SalaryDetails.Rows.Add(10001, 1001, "Andrew",42000); SalaryDetails.Rows.Add(10002, 1002, "Briddan",30000); //to create the object for DataSet DataSet dataSet = new DataSet(); //Adding DataTables into DataSet dataSet.Tables.Add(EmployeeDetails); dataSet.Tables.Add(SalaryDetails); Console.WriteLine("\n\n\tUSING DATASET"); Console.WriteLine("\n\nEmployeeDetails Table Data: \n"); //to reterieve the DataTable from dataset using the Index position foreach (DataRow row in dataSet.Tables[0].Rows) { Console.WriteLine(row["EmpID"] + ", " + row["EmpName"] + ", " + row["EmpMobile"]); } Console.WriteLine(); //SalaryDetails Table Console.WriteLine("\nOrderDetails Table Data: \n"); //retrieving DataTable from the DataSet using name of the table foreach (DataRow row in dataSet.Tables["SalaryDetails"].Rows) { Console.WriteLine(row["SalaryID"] + ", " + row["EmployeeID"] + ", " + row["EmployeeName"] + ", " + row["Salary"]); } } catch (Exception e) { Console.WriteLine("OOPS, Error.\n" + e); } Console.ReadKey(); } } }
Output:
Conclusion – Dataset in C#
In this article, I have explained DataSet in C# which is a disconnected architecture that helps to make use of the application faster and reliable. I hope the article helps you to understand the working flow of DataSet programmatically and theoretically.
The above is the detailed content of Dataset in C#. For more information, please follow other related articles on the PHP Chinese website!

C# and .NET provide powerful features and an efficient development environment. 1) C# is a modern, object-oriented programming language that combines the power of C and the simplicity of Java. 2) The .NET framework is a platform for building and running applications, supporting multiple programming languages. 3) Classes and objects in C# are the core of object-oriented programming. Classes define data and behaviors, and objects are instances of classes. 4) The garbage collection mechanism of .NET automatically manages memory to simplify the work of developers. 5) C# and .NET provide powerful file operation functions, supporting synchronous and asynchronous programming. 6) Common errors can be solved through debugger, logging and exception handling. 7) Performance optimization and best practices include using StringBuild

.NETFramework is a cross-language, cross-platform development platform that provides a consistent programming model and a powerful runtime environment. 1) It consists of CLR and FCL, which manages memory and threads, and FCL provides pre-built functions. 2) Examples of usage include reading files and LINQ queries. 3) Common errors involve unhandled exceptions and memory leaks, and need to be resolved using debugging tools. 4) Performance optimization can be achieved through asynchronous programming and caching, and maintaining code readability and maintainability is the key.

Reasons for C#.NET to remain lasting attractive include its excellent performance, rich ecosystem, strong community support and cross-platform development capabilities. 1) Excellent performance and is suitable for enterprise-level application and game development; 2) The .NET framework provides a wide range of class libraries and tools to support a variety of development fields; 3) It has an active developer community and rich learning resources; 4) .NETCore realizes cross-platform development and expands application scenarios.

Design patterns in C#.NET include Singleton patterns and dependency injection. 1.Singleton mode ensures that there is only one instance of the class, which is suitable for scenarios where global access points are required, but attention should be paid to thread safety and abuse issues. 2. Dependency injection improves code flexibility and testability by injecting dependencies. It is often used for constructor injection, but it is necessary to avoid excessive use to increase complexity.

C#.NET is widely used in the modern world in the fields of game development, financial services, the Internet of Things and cloud computing. 1) In game development, use C# to program through the Unity engine. 2) In the field of financial services, C#.NET is used to develop high-performance trading systems and data analysis tools. 3) In terms of IoT and cloud computing, C#.NET provides support through Azure services to develop device control logic and data processing.

.NETFrameworkisWindows-centric,while.NETCore/5/6supportscross-platformdevelopment.1).NETFramework,since2002,isidealforWindowsapplicationsbutlimitedincross-platformcapabilities.2).NETCore,from2016,anditsevolutions(.NET5/6)offerbetterperformance,cross-

The C#.NET developer community provides rich resources and support, including: 1. Microsoft's official documents, 2. Community forums such as StackOverflow and Reddit, and 3. Open source projects on GitHub. These resources help developers improve their programming skills from basic learning to advanced applications.

The advantages of C#.NET include: 1) Language features, such as asynchronous programming simplifies development; 2) Performance and reliability, improving efficiency through JIT compilation and garbage collection mechanisms; 3) Cross-platform support, .NETCore expands application scenarios; 4) A wide range of practical applications, with outstanding performance from the Web to desktop and game development.


Hot AI Tools

Undresser.AI Undress
AI-powered app for creating realistic nude photos

AI Clothes Remover
Online AI tool for removing clothes from photos.

Undress AI Tool
Undress images for free

Clothoff.io
AI clothes remover

Video Face Swap
Swap faces in any video effortlessly with our completely free AI face swap tool!

Hot Article

Hot Tools

SublimeText3 Mac version
God-level code editing software (SublimeText3)

Zend Studio 13.0.1
Powerful PHP integrated development environment

Safe Exam Browser
Safe Exam Browser is a secure browser environment for taking online exams securely. This software turns any computer into a secure workstation. It controls access to any utility and prevents students from using unauthorized resources.

SublimeText3 English version
Recommended: Win version, supports code prompts!

PhpStorm Mac version
The latest (2018.2.1) professional PHP integrated development tool
