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What's the Most Efficient Way to Update Records in Entity Framework 5?

Mary-Kate Olsen
Release: 2025-01-25 07:42:10
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What's the Most Efficient Way to Update Records in Entity Framework 5?

Best Practices for Entity Framework 5 Record Updates

Updating records in Entity Framework 5, developers are often faced with the choice of multiple methods, each method has its advantages and disadvantages. This article will explore three common methods and their limitations, and ultimately provide the best solution.

Method 1: Load the original records and update attributes one by one

This method requires loading the original record first and then manually updating each modified attribute. While this approach provides flexibility in specifying which properties to change, it requires two database queries (one for loading and one for updating).

Method 2: Load the original record and set the changed value

A more efficient approach is to use CurrentValues.SetValues to update only the modified properties. However, this approach requires the view to contain all record properties, which may pose security implications for sensitive data.

Method 3: Attach the updated record and set the status to Modified

To minimize the number of database queries, you can append the updated record and set the status to Modified. While this method only requires a single query, it cannot specify which properties to change and also requires the view to contain all properties.

Best solution

In order to take into account the efficiency of attribute specification, minimized view and single database query, the following method is recommended:

Code example:

<code class="language-csharp">db.Users.Attach(updatedUser);
var entry = db.Entry(updatedUser);
entry.Property(e => e.Email).IsModified = true;
// 其他需要修改的属性
db.SaveChanges();</code>
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This solution first appends the updated record and then modifies the IsModified flag of the specific attribute. In this way, it is ensured that only the expected attributes are updated while maintaining the efficiency of a single database query.

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