adventureworks databases 2012 2008r2 and 2008

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SQL Server Cumulative Updates and Service Packs Compression can increase the size of an object in certain cases, but the differences here are just too great.Below is a consolidated list of SQL Server links to save you time when you need Strange, huh? I can only assume this has something to do with VARBINARY being a type that doesn't get compressed, but I don't see how that should affect the estimation.īOL states that 'If the requested compression setting is same as the current compression setting, the stored procedure will return the estimated size with no data fragmentation and using the existing fill factor.' I can't see the assumption of no fragmentation being responsible for the estimated size shrinking so much and being smaller than the estimates using compression. If you remove that column and rebuild the table, the estimated size with no compression will be back to where it should be. It's actually even smaller than the estimated sizes for row and page compression, and it all seems to be due to the VARBINARY(MAX) column. Look at that first result (with no compression) – it's now way smaller than the current size. Let's rebuild this index with a fill factor of 100 so there's as little fragmentation as possible. Once dbo.bigTransactionHistory is set up, we're going to focus on it's nonclustered index which is created in the script along with the table. You'll also need tables a bit larger than AdventureWorks provides, so I use Adam Machanic's bigAdventure script to create the dbo.bigTransactionHistory table we'll be working with. I used AdventureWorks2008R2 and AdventureWorks2012 in my tests. I noticed this in SQL Server 2008R2, but it also shows up in 2012.įor this demo, you'll need the AdventureWorks database or one of its variants. I recently found however that depending on the datatypes present in the table, that estimate can get very bad. It's not perfect, but again it's an estimate.

The results are then extrapolated to give an estimated size for the entire index/partition with that level of compression applied. It works by sampling 5% of the appropriate pages and applies the desired level of compression on them in TempDB. The sp_estimate_data_compression_savings procedure is an excellent tool for estimating how compression will affect an index or partition. While estimating the effects of compressing data I recently came across a behavior that I don't think Mr. The same can be implied for estimation, and while estimates need not be perfect, they should at least be logical.

'Statistics means never having to say you're certain' is a well-known quote that would often come up in my AP Statistics class back in high school.

Adventureworks databases 2012 2008r2 and 2008