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In investigating fragmentation on some of our large tables in a SQL Server 2005 database, I was using a query based on sys.dm_db_index_physical_stats. The query returns a row for each level in the b-tree for an index. In evaluating the clustered indexes, I noticed that fragmentation increased the further up the tree I went. At the leaf level, fragmentation was only 1%, but at the root level, it was 50% fragmented or greater. Here's an example:

TableName         IndexName             avg_fragmentation_in_percent   record_count
MyTableName       MyClustered_Index     91.66666667                    1,901
MyTableName       MyClustered_Index     35.77064703                    528,681
MyTableName       MyClustered_Index     1.948812233                    3,616,888

So looking at this, I was curious: is the fragmentation I am seeing at the upper levels because the pages that the index values are occupying are acting the same way that really small tables do, occupying mixed extents, or something similar to that?

If that is not the case, do I need to be concerned with those fragmentation numbers in the upper levels, or is the leaf level fragmentation the only thing that is significant here?

Thanks for your time.

EDIT 1:

Adding the query results with page counts:

TableName           IndexName           avg_fragmentation_in_percent    page_count
MyTable             MyClusteredIndex    0.2687447                       823086
MyTable             MyClusteredIndex    6.389452333                     1972
MyTable             MyClusteredIndex    90.90909091                     11
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migrated from serverfault.com Feb 26 '13 at 14:32

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Can you modify your query to also include the page_count, fragment_count and avg_record_size_in_bytes? –  StrayCatDBA Feb 22 '13 at 21:18

1 Answer 1

Fragmentation in non-leaf levels is typically not an issue due to the difference in the number of pages between the leaf and non-leaf levels. For example, here are the number of pages per level in a fairly ordinary 8 million row table with an int primary key:

index_level page_count  
0           156623          
1           653             
2           5               
3           1               

The 659 non-leaf pages have a very good chance to remain in buffer pool because any seek into the table starts at the root and walks down the tree. Even if they did need to be pulled from disk and it was completely random 8k I/O, they still make up less than one half of one percent of the table.

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