When we use the VALUES statement to create a constant table, PostgreSQL automatically names the columns column1, column2, etc. This saves us from having to provide names for the columns or from getting a blank column header.
But we also have the option of naming the columns ourselves.
If you’re getting a SQLite error that reads ‘Parse error: near “LIMIT”‘, it could be that you’re trying to use the LIMIT clause when using the VALUES clause as a stand alone statement.
SQLite doesn’t allow us to apply the LIMIT clause against the VALUES statement.
However, there is a work around. Below is an example of how we can apply the LIMIT clause against the VALUES statement.
If you’re getting SQL Server error 208 that reads “Invalid object name ‘GENERATE_SERIES’“, it could be that you’re calling GENERATE_SERIES() in a version of SQL Server that doesn’t support this function.
The GENERATE_SERIES() function was introduced in SQL Server 2022 (16.x), and so if we try to call it in an earlier version of SQL Server, we’ll get the above error.
So if you’re running this on an earlier version, you’ll need to upgrade before you can run it successfully. You’ll also need to run it on a database with a compatibility level of at least 160.
If you’re getting an error that reads “Parse error: all VALUES must have the same number of terms” in SQLite when using the VALUES clause as a stand alone statement, it’s probably because you’re not providing the same number of columns in all rows.
When we use VALUES to create a constant table, we must provide the same number of columns in each row.
To fix this issue, be sure to provide the same number of columns across all rows.
If you’ve ever used the VALUES clause as a stand alone statement, you may have noticed that SQLite provides default column names for the results. SQLite conveniently names them column1, column2, and so on.
However as convenient as this is, you might want to provide names that are more meaningful.
Fortunately there’s an easy way to do that.
If you’re getting error 10753 when using a window function in SQL Server, it’s probably because you’re calling the function without an OVER clause.
When using the DENSE_RANK() function, the error message reads “The function ‘DENSE_RANK’ must have an OVER clause”.
The DENSE_RANK() function requires an OVER clause (and that clause must have an ORDER BY clause).
To fix this issue, add an OVER clause to the DENSE_RANK() function.
If you’re getting an error that reads ‘Parse error: near “ORDER”‘ in SQLite, it could be that you’re trying to use the ORDER BY clause when using the VALUES clause as a stand alone statement.
Although we can certainly use the VALUES clause as a stand alone SQL statement, we can’t apply the ORDER BY clause against it.
However all is not lost. Below is an example of how we can sort the results of the VALUES statement.
Some database management systems, including SQLite, allow us to use the VALUES keyword as a stand alone SQL statement. So we can use VALUES to return a constant table, usually with less code than would be required if we were to use the SELECT statement.
The following examples demonstrate how.
If you’re getting an error that reads “‘GENERATE_SERIES’ is not a recognized built-in function name” in SQL Server, it could be that you’re calling GENERATE_SERIES() in the wrong context.
In SQL Server, GENERATE_SERIES() is a relational operator that returns a series of values from a given start and stop point.
When we call GENERATE_SERIES() in a SQL query, we don’t include it in the SELECT list, like we would with many SQL functions. Instead, we reference it in the FROM clause, like we would reference a table.
So if you’re getting the above error, it could be that you’re inadvertently making this mistake. To fix, be sure to call GENERATE_SERIES() in the correct context.
Many of us who work with SQL databases have used the VALUES keyword with the INSERT statement when inserting data into a database.
But perhaps a lesser known fact is that some RDBMSs allow us to use VALUES as a stand alone SQL statement. PostgreSQL is one such RDBMS.
When used as a stand alone statement, we can use a VALUES statement instead of a SELECT statement.