Nested Loops And Implicit Reordering

Dmitry Piliugin shows how the SQL Server optimizer can end up reordering data in a nested loops join to improve performance:

The purpose is to minimize random access impact. If we perform an Index Seek (with a partial scan, probably) we read the entries in the index order, in our case, in the order of CustomerID, which is clearly seen on the first result set. The index on CustomerID does not cover our query, so we have to ask the clustered index for the column SomeData, and actually, we perform one another seek, seeking by the SalesOrderID column. This is a random seek, so what if, before searching by the SalesOrderID we will sort by that key, and then issue an ordered sequence of Index Seeks, turning the random acces into the sequential one, wouldn’t it be more effective?

Yes, it would in some cases, and that is what “optimized” property tells us about. However, we remember, that it is not necessarily leads to the real reordering. As for comparing the real impact, I will refer you to the actual Craig’s post or leave it as a homework.

Read the whole thing.  This is one reason why it’s important to emphasize that in SQL, you can only assume order if you have an explicit ORDER BY clause.

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