In the Common Table Expression (CTE), select the ROW_NUMBER(), partitioned by the group column and ordered in the desired order. Option 4: Common Table Expression with ROW_NUMBER() When working with a large volume of data in a database, it is important. ** Use the previous query in a subquery to exclude the dupliates with higher id values */ Optimize SQL Queires with Not-Equal Operator. INNER JOIN dupes d2 ON d2.word=d1.word AND d2.num=d1.num And just fill the missing columns on each table with null values. Using a subquery, you can first identify the duplicate rows to ignore, and then filter them out in the outer query with the WHERE NOT IN (subquery) construct: /** Find the higher id values of duplicates, distinct only added for clarity */ I would do that in in crements so the shrink can be stoped and restarted without the work so far wasted. So to make the files the same size I would shrink tempdev to 30000MB like the rest of the files. ALTER DATABASE tempdb MODIFY FILEGROUP PRIMARY AUTOGROWALLFILES. Grouping allows you to add aggregated data, like the min(id), max(id), count(*), etc: SELECT word, num, min(id), max(id), count(*) Make sure to set auto growth all files on the file group. This is the most simple and straight forward, but also the most limited way: SELECT DISTINCT word, num
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