Fluent vs. Query Expression Syntax in LINQ: Which Approach Is Best for Your Data Queries?

LINQ query grammar: the comparison of smooth grammar and query expression grammar

Linq (Language Integrated Query) in .NET completely changed the data query and operation method. Both the smooth grammar and the inquiry expression grammar provide powerful functions, but which method often tangles developers.

Different: range variables

Inquiry expression syntax is excellent when processing multiple range variables, which is very important in the following scenes:

Use Keywords to introduce new variables in the query

Using multiple data sources (that is, multiple
• clauses) let
Connection operation
• from The following example shows the range variable in the query, and the name of the name and its corresponding name is extracted from the array:
The advantages of method grammar

On the other hand, the smooth grammar can access the complete query operator set, and the method chain simplifies the query:

string[] fullNames = { "Anne Williams", "John Fred Smith", "Sue Green" };

var query =
  from fullName in fullNames
  from name in fullName.Split()
  orderby fullName, name
  select name + " came from " + fullName;

<合> Mixed use of query grammar and method grammar

Mixed use of query grammar and method grammar can enable developers to use the advantages of two methods at the same time. This is particularly beneficial in Linq to SQL query, because the method and grammar can improve efficiency:

var query = fullNames
  .SelectMany(fName => fName.Split().Select(name => new { name, fName }))
  .OrderBy(x => x.fName)
  .ThenBy(x => x.name)
  .Select(x => x.name + " came from " + x.fName);

Conclusion

In the end, the choice between the smooth grammar and the inquiry expression grammar depends on the specific requirements of the query. When dealing with multiple range variables, query expression syntax is essential; and for simple query, the smooth syntax provides flexibility and simplicity. By understanding these advantages, developers can effectively use these two methods to optimize data operations and retrieval operations.

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