I´m trying to join two tables but I get this error: Msg 468, Level 16, State 9, Line 8 Cannot resolve the collation conflict between "SQL_Latin1_General_CP1_CI_AS" and …

This was an example, but the point is as Eric said in How can I do an UPDATE statement with JOIN in SQL Server?. You need to add an UPDATE statement at first with the full address of …

The question and solutions pertain specifically to INNER JOINs. If the join is a LEFT/RIGHT/FULL OUTER JOIN, then it is not a matter of preference or performance, but one of correct results. …

What is the easiest way to select data from two tables and rather than join them, have them appear as separate rows. Both tables have similar or matching fields and I want to run some …

The fact that when it says INNER JOIN, you can be sure of what it does and that it's supposed to be just that, whereas a plain JOIN will leave you, or someone else, wondering what the …

The thing I'd like to point out though is that if you have appropriate foreign keys in your database, (between post and post_meta) then you probably don't need an explicit join unless you're …

Also, JOIN FETCH is a great way to address the LazyInitializationException when using Hibernate as you can initialize entity associations using the FetchType.LAZY fetching strategy along with …

Do you really want to be able to join the tables if a value is null? Can't you just exclude the possible null values in the join predicate? I find it hard to grok that rows in two tables can be …

DataFrame.join () always wants to match caller's indexes or keys (specified by on option) against the other 's indexes. Remember, indexes for join. While merge () is a more generic method.

Compare these 2 queries. Is it faster to put the filter on the join criteria or in the WHERE clause. I have always felt that it is faster on the join criteria because it reduces the result set at the