Skip to main content

Serialization and Deserialization Demo


  1. Open the WCF service application that you created earlier.
  2. Add a new project using Windows > Console application template
  3. Lets name it SerializationDemo
  4. Add reference to the WCF Service project and also add reference to System.Runtime.Serialization and System.IO
  5. Add the following code
 static void Main(string[] args)
        {
            ProductReview p = new ProductReview() { Id = "001", ProductCode = "12", ProductName = "Mask", Review = "Very Good!" };
            DataContractSerializer dcs = new DataContractSerializer(typeof(ProductReview));
         
            //Serialize
            using (FileStream fs = new FileStream("ProductReview.xml", FileMode.Create))
            {
                dcs.WriteObject(fs, p);
            }
         
            //Deserialize
            using (FileStream fs = new FileStream("ProductReview.xml", FileMode.Open))
            {
                ProductReview pr = (ProductReview)dcs.ReadObject(fs);
                Console.WriteLine("Product Name: {0} \nCustomer Review: {1}", pr.ProductName, pr.Review);
            }
            Console.ReadKey();

        }

Testing the project

  1. Run the project. 
  2. Go to the bin/Debug folder of the project. 
  3. Examine the ProductReview.xml file in the Internet Explorer
  4. Notice how ProductReview instance has be serialized into XML. 
  5. Note the following:
    1. The outer most element is same as the name of the class annotated with [DataContract] attribute
    2. There is an inner element for each property annotated with [DataMember] attribute. 
    3. Inner elements are in the alphabetical order. 

Customizing the mapping to XML element 

You can customize how the class annotated with DataContract and DataMember maps to XML elements. You can do this by setting the properties of DataContractAttribute class and DataMemberAttribute class. 



Comments

Popular posts from this blog

CUMIPMT and CUMPRINC function

CUMIPMT Cumulative interest payment function allows you to calculate the interest paid for a loan or from an investment from period A to period B. When getting a loan, CUMIPMT function can be used to calculate the total amount of interest paid in the first five months or from period 12 to period 20. A period can be a month, a week or two week. Loan Amount : 350,000.00 APR: 4.5% Down payment: 0.00 Years: 25 Payment per year: 12 From the above data, we can calculate the following: No of Period: 25 × 12 = 300 Periodic Rate: 4.5/12 = 0.375% Here is how you will substitute these values into the function. = CUMIPMT (periodic rate, No of period, vehicle price, start period, end period,  ) = CUMIPMT (0.375, 300, 350000, 1, 5, 0) In an excel worksheet, we use cell address instead of actual values as shown below: Here is the formula view of the worksheet: CUMPRINC Another related function is CUMPRINC. CUMPRINC function is used to calculate cumul

Excel PMT Function

PMT function is very useful for calculating monthly payment required to payback a loan or mortgage at a fixed rate. This function require a minimum of three inputs, periodic rate, number of periods, present value or the loan amount. Here is a simple example. Home Loan: 350,000.00 Interest rate: 4.5% Number of years to repay the loan: 25 Note: To calculate monthly payment, we need to find the monthly rate and number of months as shown above. Then it is simply a matter of substituting the values into the payment function, as shown in the formula view below.

BCG's Brand Advocacy Index

The Boston Consulting Group's (BCG) Brand Advocacy Index (BAI) is a metric developed to help companies measure the degree of customer advocacy for their brands. BAI focuses on the likelihood of customers to recommend a brand to others, which is a powerful indicator of brand strength and customer loyalty. Unlike other customer satisfaction or loyalty metrics, BAI emphasizes the importance of customer referrals and word-of-mouth marketing. BAI is calculated based on a survey where customers are asked about their willingness to recommend a brand to their friends, family, or colleagues. The responses are then used to compute a score, which ranges from -100 to 100. A higher BAI score indicates that a brand has more advocates who are likely to recommend the brand to others, while a lower score suggests that the brand has fewer advocates or even a higher number of detractors. BCG's research has shown that companies with higher BAI scores tend to experience higher growth rates and bett