Statistics auto-updates are generally a good thing–auto-update of statistics is the default behavior in SQL Server. Having the freshest information about the data “shape” helps to inform the best selection of an execution plan for queries. Except for when it doesn’t. Because It Depends™️ Let’s … [Read More]
We’ve all been there. You’ve got a query where the JOIN or WHERE predicate is not SARGable. You’ve read about how this can be a problem, and how bad it is for performance. Alas, you cannot change the query. Sometimes this reason is political, sometimes … [Read More]
There is a corner case where it makes sense to have a non-clustered index “duplicating” the clustered index. If you have a query that frequently scans the table, and ONLY makes use of the clustering key column, the query optimizer will prefer to use the non-clustered index.
SQL Server supports two kinds of data compression on rowstore data. Columnstore compression is for a different day. You can compress heaps, clustered indexes (on both tables and views), and nonclustered indexes (on both tables and views). Compression requirements Data compression is available in SQL … [Read More]
SQL Server supports two kinds of data compression on rowstore data. Columnstore compression is for a different day. You can compress heaps, clustered indexes (on both tables and views), and nonclustered indexes (on both tables and views). Compression requirements Data compression is available in SQL … [Read More]
SQL Server supports two kinds of data compression on rowstore data. Columnstore compression is for a different day. You can compress heaps, clustered indexes (on both tables and views), and nonclustered indexes (on both tables and views). Compression requirements Data compression is available in SQL … [Read More]
At work, we make extensive use of views & synonyms. The reasons are complex (and fodder for another post), but here’s a simplified example: Pricing data is updated multiple times per day, and we want to keep multiple generations of the pricing table online. By … [Read More]
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