If you’re running a subquery that uses FOR XML to produce XML in SQL Server, but you’re getting error 258, which reads “Cannot call methods on nvarchar(max)” it might be that you’re trying to query the XML in the outer query, but your inner query isn’t outputting the XML as an actual xml type.
The FOR XML result must be an xml type in order to process the result on the server.
To fix this issue, make sure the subquery outputs the result using the xml data type.
Continue readingIf you’re getting an error that reads “The ORDER BY clause is invalid in views, inline functions, derived tables, subqueries, and common table expressions, unless TOP, OFFSET or FOR XML is also specified” in SQL Server, it appears that you’re using the ORDER BY clause in a place that it must also be accompanied by a TOP, OFFSET or FOR XML clause, but you’re not including one of those clauses.
To fix this issue, be sure to include one of those clauses in your query if you need to use the ORDER BY clause.
SQL subqueries are like little helpers that fetch data for our main query. They’re super handy when we need to filter our results based on some other data in our database.
Probably the most common placement of a subquery in SQL is in the WHERE clause. Placing a subquery in the WHERE clause allows us to compare a column against a set of rows that match a certain criteria.
Let’s look at three quick examples of subqueries in the WHERE clause.
If you’re getting an error that reads something like “Cannot use an aggregate or a subquery in an expression used for the group by list of a GROUP BY clause.” in SQL Server, it looks like you’re trying to use either an aggregate function or a subquery in the GROUP BY clause.
We can’t use aggregates or subqueries in the GROUP BY clause.
To fix this issue, remove any aggregate functions or subqueries from your GROUP BY clause.
Let’s dive into subqueries for a moment. Specifically, how to use a SQL subquery in the SELECT list. It’s a handy little trick that can help us fetch related data without resorting to complex joins.
In SQL, it’s not unusual to see subqueries in SELECT statements, where they can help narrow down the results based on a complex condition.
But the SELECT statement isn’t the only place we can put a subquery.
We can use subqueries in an UPDATE statement, and we can update multiple rows too, if required.
In this article, we look at how to update multiple columns by using a SQL subquery in the UPDATE statement.
When writing SQL queries, we sometimes find ourselves including a subquery in the query in order to get the results we want. Sometimes the subquery we include could be taken out of that query and run by itself to return its own independent result set. But not the correlated subquery.
A correlated subquery relies on the outer query for its data. We can’t simply move it outside of the outer query and expect it to work.
Let’s take a look the correlated subquery in SQL and observe it in action with a few examples.
Continue readingIn SQL, the self join is a join technique where we join a table with itself. Other join types will join a table with another table, but the self join simply joins with itself.
Self joins can be useful when working with hierarchical or recursive data within a single table.
Continue readingWhen used in the FROM clause, a SQL subquery creates a temporary table that can be queried like any other table. These queries are sometimes called derived tables or table expressions because the outer query uses the results of the subquery as a data source.
In this article we look at three different examples of SQL subqueries that are placed into the FROM clause.
Ever wanted to populate a table with data from another table? That’s where the INSERT statement with a subquery comes in handy. Using this method, we can insert the full contents of another table, or we can insert just a select number of rows or columns based on certain criteria.
Below are four examples of using the INSERT statement with a subquery, with each one slightly more complex than the previous.