


How to Effectively Use Parameterized Queries with LIKE and IN Conditions in .NET?
Parameterized Queries with LIKE and IN Conditions
Using parameterized queries in .Net typically follows a specific pattern, as demonstrated in the example:
SqlCommand comm = new SqlCommand(@" SELECT * FROM Products WHERE Category_ID = @categoryid ", conn); comm.Parameters.Add("@categoryid", SqlDbType.Int); comm.Parameters["@categoryid"].Value = CategoryID;
However, performing more complex queries with conditions like IN and LIKE can be challenging.
Implementing IN and LIKE Conditions
Consider the case where you have a list of category IDs stored as a comma-separated string and a product name potentially containing special characters. To construct a parameterized query for this scenario:
-
Break down the IN condition: Convert the comma-separated category ID string into an array of integers.
int[] categoryIDs = Array.ConvertAll(CategoryIDs.Split(','), int.Parse);
-
Generate parameter names: Create a sequence of parameter names, e.g., @p0, @p1, @p2, and so on.
string[] parameters = new string[categoryIDs.Length]; for (int i = 0; i
-
Add parameters to the command: Add each parameter to the command with the corresponding category ID as its value.
for (int i = 0; i
-
Construct the IN condition: Join the parameter names into a comma-separated string within the IN clause of the query.
WHERE Category_ID IN (" + string.Join(",", parameters) + ")
-
Handle the LIKE condition: Parameterize the LIKE condition by using a wildcard character and the input string.
OR name LIKE @name
where @name is a parameter added to the command with the input string as its value.
Putting it all together, the parameterized query becomes:
string Name = "someone"; int[] categoryIDs = new int[] { 238, 1138, 1615, 1616, 1617, 1618, 1619, 1620, 1951, 1952 }; SqlCommand comm = conn.CreateCommand(); string[] parameters = new string[categoryIDs.Length]; for(int i=0;i<categoryids.length parameters comm.parameters.addwithvalue categoryids comm.commandtext="SELECT * FROM Products WHERE Category_ID IN (" string.join or name like><p>This approach creates a fully parameterized query that addresses both IN and LIKE conditions with proper parameterization.</p></categoryids.length>
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