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Statistics are small, and are created super fast– my query isn’t measurably any faster when I run it a second time.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.Trace Flag 7471 is a global trace flag released in SQL Server 2014 SP1 Cumulative Update 6.This trace flag changes the locking behavior associated with updating statistics.When tables have more than 25,000 rows, the threshold for automatic statistics update becomes more dynamic, and this adjusts as the rowcount goes up.See a graph of the adjusting threshold in this post from the SAP team.
Even if you have a statistic on every column in the table, this is a very small amount of overhead.
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.
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.
If you’re managing lots of SQL Server instances and want ultimate customization, there is a free version of Minion Reindex. The answers to both of these questions impact what it does to GROUP those rows and SUM the Name Count column.