Handling non-null, unique or foreign key constraint conflicts in Informix outer joins
When performing an outer join in an Informix database, you may encounter the error "Unable to enable constraint. One or more rows contain values that violate a non-null, unique, or foreign key constraint." This error indicates that the result set contains duplicate rows with the same primary key, or rows with null values for columns that do not allow null values.
Possible reasons
Potential causes of this error are:
- Returns null values for columns not configured to allow null values (AllowDBNull = false)
- Generate duplicate rows with matching primary key values
- Inconsistent column definitions between databases and datasets (e.g. character field sizes)
Troubleshooting
To determine the specific cause of the error, try running your query directly against the database. Checks for duplicate rows or null values in restricted columns in the result set.
Use Try/Catch and GetErrors
To pinpoint the exact error, you can add a Try/Catch block to the generated code and break at the point where the exception occurs. In C#, this is accomplished by calling GetErrors on the table on which the error was encountered:
try { DataTable dt = TeachingLoadDAL.GetCoursesWithEvalState(i, bat); } catch (Exception e) { if (e is System.Data.SqlClient.SqlException) { var tableWithErrors = dt.GetErrors()[0]; Console.WriteLine("错误行: " + tableWithErrors.RowError); } }
In VB.NET, the code is as follows:
Try Dim dt = TeachingLoadDAL.GetCoursesWithEvalState(i, bat) Catch e As SqlException If TypeOf e Is SqlException Then Dim tableWithErrors = dt.GetErrors(0) Console.WriteLine("错误行: " + tableWithErrors.RowError) End If End Try
This will display the row of data that contains the error, along with the specific error message stored in RowError.
Solve the problem
To resolve this error, identify the column that violates the constraint and correct the data accordingly. For duplicate rows, make sure your query does not return multiple rows with the same primary key. For NULL values, update the database schema or dataset definition to allow NULL values for the affected columns.
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