![]() When we add another column, there’s a possibility that a previously duplicate row now becomes a unique row, depending on the value in the extra column. This is because UNION returns distinct rows by default. The ORDER BY may not have arbitrary expressions, in standard SQL. Or we can add another column to the first SELECT statement: SELECT TeacherId, TeacherName FROM Teachersīear in mind that you can get different results depending on which option you choose. In standard SQL, the ORDER BY clause must be either (1) a positive integer that means sort by the corresponding column or (2) an exact copy of one of the expressions that defines the column. So using the above example, we can either remove the extra column from our second SELECT statement: SELECT TeacherName FROM Teachers ![]() The way to fix this issue is to ensure both SELECT statements return the same number of columns Here, the first SELECT statement returns one column ( TeacherName), but the second SELECT statement returns two columns ( StudentId and StudentName). ![]() Result: Error: in prepare, SELECTs to the left and right of UNION do not have the same number of result columns (1) SELECT StudentId, StudentName FROM Students Here’s an example of SQL code that produces the error: SELECT TeacherName FROM Teachers To fix this issue, make sure the SELECT statements return the same number of columns. When you use the UNION operator, both SELECT statements must return the same number of columns. If you’re getting “Error: in prepare, SELECTs to the left and right of UNION do not have the same number of result columns…” in when trying to use the UNION operator in SQLite, it’s because one of the SELECT statements is returning more columns than the other.
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