How to Serialize and Deserialize JSON in C#

JSON serialization and deserialization in C# has become remarkably straightforward with the System.Text.Json namespace, introduced in .NET Core 3.0 as a modern alternative to Newtonsoft.Json.

The JsonSerializer class provides static methods to convert objects to JSON strings (Serialize) and parse JSON strings back into objects (Deserialize).

For basic serialization, you can simply call JsonSerializer.Serialize(object) on any object, and it will automatically convert public properties into their JSON representation.

Similarly, JsonSerializer.Deserialize<T>(jsonString) converts JSON back into strongly-typed objects. The process becomes even more powerful when combined with custom attributes like [JsonPropertyName] to control property naming and [JsonIgnore] to exclude specific properties from serialization.

When working with more complex scenarios, you can customize the serialization process using JsonSerializerOptions.

This allows you to control various aspects such as case sensitivity, indentation, handling of null values, and custom converters. For example, setting PropertyNameCaseInsensitive = true enables case-insensitive property matching during deserialization, while WriteIndented = true produces formatted JSON output.

It's also worth noting that System.Text.Json is designed with performance in mind, offering better performance compared to Newtonsoft.Json for most scenarios.

Example

// Define a class to serialize
public class Person
{
    public string Name { get; set; }
    [JsonPropertyName("birth_date")]
    public DateTime BirthDate { get; set; }
    [JsonIgnore]
    public int InternalId { get; set; }
}

// Serialization example
Person person = new Person 
{ 
    Name = "John Doe", 
    BirthDate = new DateTime(1990, 1, 1) 
};
string json = JsonSerializer.Serialize(person);

// Deserialization example
Person deserializedPerson = JsonSerializer.Deserialize<Person>(json);

// Using JsonSerializerOptions
var options = new JsonSerializerOptions
{
    WriteIndented = true,
    PropertyNameCaseInsensitive = true,
    PropertyNamingPolicy = JsonNamingPolicy.CamelCase
};
string prettyJson = JsonSerializer.Serialize(person, options);

// Working with collections
List<Person> people = new List<Person> { person };
string jsonArray = JsonSerializer.Serialize(people);
List<Person> deserializedPeople = JsonSerializer.Deserialize<List<Person>>(jsonArray);
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Related

When working with SQL Server, you may often need to count the number of unique values in a specific column. This is useful for analyzing data, detecting duplicates, and understanding dataset distributions.

Using COUNT(DISTINCT column_name)

To count the number of unique values in a column, SQL Server provides the COUNT(DISTINCT column_name) function. Here’s a simple example:

SELECT COUNT(DISTINCT column_name) AS distinct_count
FROM table_name;

This query will return the number of unique values in column_name.

Counting Distinct Values Across Multiple Columns

If you need to count distinct combinations of multiple columns, you can use a subquery:

SELECT COUNT(*) AS distinct_count
FROM (SELECT DISTINCT column1, column2 FROM table_name) AS subquery;

This approach ensures that only unique pairs of column1 and column2 are counted.

Why Use COUNT DISTINCT?

  • Helps in identifying unique entries in a dataset.
  • Useful for reporting and analytics.
  • Efficient way to check for duplicates.

By leveraging COUNT(DISTINCT column_name), you can efficiently analyze your database and extract meaningful insights. Happy querying!

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Reading a file line by line is useful when handling large files without loading everything into memory at once.

✅ Best Practice: Use File.ReadLines() which is more memory efficient.

Example

foreach (string line in File.ReadLines("file.txt"))
{
    Console.WriteLine(line);
}

Why use ReadLines()?

Reads one line at a time, reducing overall memory usage. Ideal for large files (e.g., logs, CSVs).

Alternative: Use StreamReader (More Control)

For scenarios where you need custom processing while reading the contents of the file:

using (StreamReader reader = new StreamReader("file.txt"))
{
    string? line;
    while ((line = reader.ReadLine()) != null)
    {
        Console.WriteLine(line);
    }
}

Why use StreamReader?

Lets you handle exceptions, encoding, and buffering. Supports custom processing (e.g., search for a keyword while reading).

When to Use ReadAllLines()? If you need all lines at once, use:

string[] lines = File.ReadAllLines("file.txt");

Caution: Loads the entire file into memory—avoid for large files!

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In C#, you can format an integer with commas (thousands separator) using ToString with a format specifier.

int number = 1234567;
string formattedNumber = number.ToString("N0"); // "1,234,567"
Console.WriteLine(formattedNumber);

Explanation:

"N0": The "N" format specifier stands for Number, and "0" means no decimal places. The output depends on the culture settings, so in regions where , is the decimal separator, you might get 1.234.567.

Alternative:

You can also specify culture explicitly if you need a specific format:

using System.Globalization;

int number = 1234567;
string formattedNumber = number.ToString("N0", CultureInfo.InvariantCulture);
Console.WriteLine(formattedNumber); // "1,234,567"
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