Primary keys are fundamental to relational database design, ensuring each row in a table can be uniquely identified. They help to maintain data integrity in our databases.
There are many ways to find the primary key column in SQL Server, but sometimes we might need to identify the name of the primary key constraint itself.
Below are three examples of how we can do this.
If you’re getting an error when specifying LAST or PREV for MySQL’s HANDLER statement, it could be that you’re trying to do a table scan using the index syntax.
While the HANDLER statement does accept the LAST and PREV options, we can only use them with an index.
So to fix this issue, be sure to specify an index when using the LAST and PREV options.
It’s widely understood among SQL Server developers that foreign keys can prevent us from deleting a row from the parent table if there’s child table that references the key in that row.
But did you know that we can specify a different course of action in such cases?
For example, we could configure our foreign key to delete the child as well. Or we could set it to NULL, or to its default value.
These options are all available, thanks to the ON DELETE clause.
If you’re getting MySQL error 1064 which reads something like “1064 (42000): You have an error in your SQL syntax; check the manual that corresponds to your MySQL server version for the right syntax to use near ‘READ FIRST’ at line 1” when using the HANDLER statement in MySQL, it could be that you’re qualifying the table with the database name when trying to read from or close a table.
When we use the OUTPUT clause in SQL Server, we have the option of providing expressions instead of just the column names. For example, we could use an expression that compares the old price with the new price and returns the difference. Such data could be handy, depending on what your goals are.
Let’s dive straight into an example that uses an expression in the OUTPUT clause.
If you’re getting an error that reads “Ambiguous column name“, followed by a column name, in SQL Server, it could be that you’re performing a join on two tables, but you’re not using the table names or aliases when referring to columns within those tables.
To fix this issue, be sure to qualify the columns with their table names or aliases.
If you’re getting an error that reads “An aggregate may not appear in the OUTPUT clause” in SQL Server, it appears that you’re using an aggregate function in the OUTPUT clause.
Aggregate functions are not allowed in the OUTPUT clause.
To fix this issue, remove any aggregate functions from the OUTPUT clause and try applying them to a table or table variable.
The INCLUDE option in SQL Server allows us to include non-key columns in a nonclustered index. These columns are not part of the index key (which SQL Server uses to order and search the index), but they are stored with the index pages.
The INCLUDE option can significantly improve query performance when additional columns are needed by a query but are not part of the index key.
If you’re getting an error that reads something like “Cannot insert the value NULL into column ‘CatId’, table ‘demo.dbo.Cats’; column does not allow nulls. INSERT fails” in SQL Server, it’s because you’re trying to insert a NULL value into non-nullable column (i.e. a column with a NOT NULL constraint).
We can’t insert NULL values into non-nullable columns.
To fix this issue, insert a non-NULL value.