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If you’re interested in that, head on over and read the fahhhbulous white paper, Statistics Used by the Query Optimizer in SQL Server 2008. Unfortunately, Aristotle was right when it comes to statistics maintenance in SQL Server. This is because you didn’t do any proactive work at all.Then wait a couple days and chase it with it’s charming cousin, Optimizing Your Query Plans with the SQL Server 2014 Cardinality Estimator. ⇒ If you’re too proactive, you’ll eventually be sorry: If you set up statistics maintenance too aggressively, your maintenance windows can start to run long.Here’s what the statistics look like on the table in Object Explorer. If you want to verify which column is in each auto-created statistic, you can do that with this query: SELECT s.name, s.auto_created, s.user_created, as colname FROM sys.stats AS s JOIN sys.stats_columns as sc on s.stats_id=sc.stats_id and s.object_id=sc.object_id JOIN sys.columns as c on sc.object_id=c.object_id and sc.column_id=c.column_id WHERE s.object_id=OBJECT_ID('agg.First Name By Year') and s.auto_created = 1 ORDER BY sc.stats_column_id; GO Sure enough, here are our statistics, and they are on Gender and First Name Id.
Statistics take up a negligible amount of space compared to indexes.
Mukesh Chapagain is a graduate of Kathmandu University (Dhulikhel, Nepal) from where he holds a Masters degree in Computer Engineering.
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I’m also not talking about statistics for memory optimized tables in this article. Back when I read philosophy, I found Aristotle a bit annoying because he talked so much about “moderation”. You shouldn’t run statistics maintenance against a database at the same time you’re checking for corruption, rebuilding indexes, or running other IO intensive processes.
If you have multiple SQL Servers using shared storage, that maintenance may hit the storage at the same time. ⇒ The moderate approach: One widely used free script is Ola Hallengren’s SQL Server Index and Statistics Maintenance script.