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Learn how to fix DateTime format discrepancies between your client and server in C# using Dapper for seamless database interactions.
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Resolving DateTime Format Issues Between Server and Client in C# Using Dapper

When developing applications that communicate with a SQL Server, you may encounter a situation where the DateTime format on the server differs from what you expect on the client side. This often leads to unexpected behaviors, such as receiving an int32 instead of the correct DateTime type.

In this guide, we'll explore a scenario where a server uses a 24-hour format while the client is set to a 12-hour format with AM/PM. We’ll also discuss how to handle this issue properly in C# using Dapper to ensure that your application behaves as expected.

Understanding the Problem

In the case presented, the SQL Server is returning a DateTime value in the format: 2020-06-16 14:54:33.937. However, when queried from the client, this same DateTime seems to be misrepresented, leading to the data type mismatches and errors.

The developer was using a standard SQL query like this:

[[See Video to Reveal this Text or Code Snippet]]

The Root Cause

The primary issue arises from not using parameterized queries, which can lead to errors related to data formatting. When parameters are not used, this can cause the wrong data types to be saved and retrieved from the database.

Correcting the Code

To ensure we are using best practices, we need to modify the existing method to incorporate parameterized queries. Here’s the revised approach:

Step 1: Update Your Query

Replace the existing SQL query string with a parameterized version:

[[See Video to Reveal this Text or Code Snippet]]

Why Use Parameters?

Using parameters in your SQL queries offers several advantages:

Prevents SQL Injection Attacks: By limiting how SQL statements are constructed, the risk of SQL injection vulnerabilities is significantly reduced.

Handles Culture-Specific Formatting: Parameterized queries automatically handle any necessary conversions related to DateTime formats, ensuring accuracy across different systems.

Improves Query Performance: By promoting query plan reuse, parameterized queries can enhance performance when running similar queries repeatedly.

Streamlines Dapper Performance: Dapper takes advantage of parameter types for better execution efficiency.

Step 2: Ensure Data is Saved Correctly

It’s equally important to adopt this practice when inserting or updating data. Make sure you are consistently using parameters in your save methods to avoid incorrect data types being entered into your database.

Conclusion

In conclusion, discrepancies in DateTime formats between clients and servers can lead to substantial frustrations and bugs within your applications. By implementing parameterized queries, not only can you rectify these issues, but you also enhance your application’s security, efficiency, and maintainability.

If you are experiencing similar issues in your applications, carefully review your SQL query practices and adopt parameterized queries for both selectable and savable data. This simple adjustment can save you a lot of headaches down the line.

For any further questions or assistance regarding handling DateTime formats or using Dapper with SQL Server, feel free to leave a comment!