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SQL database control and deployment

If you develop SQL databases, you know how difficult it can be to promote from the development environment to production with any level of confidence that the databases are the same.

When you have upgrades, it’s difficult to identify changes as well, especially when there are multiple developers making changes to multiple databases. The problem is compounded if your target environment is a client’s system over which you have no control. It’s staggering to think about what can happen if there are 600-plus client systems that have various versions of your database.

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Finding Duplicate Indexes in Large SQL Server Databases

One important component of tuning a large, heavily used database, is to ensure that the tables are indexed optimally: enough indexing, but not too much indexing for the application you are running. There are rules of thumb about index tuning, but the entire issue is so complex that there's no "silver bullet" solution that will work for every case. However, in tuning indexes we can generally say that it's not a good idea to maintain duplicate indexes on the same data. SQL Server does not provide checks to prevent duplicate indexes from being created, as long as the names are different

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Question of the Day

Using OPENJSON

I have some data in a table that looks like this:

BeerID BeerName    brewer               beerdescription
1      Becks       Interbrew            Beck's is a German-style pilsner beer 
2      Fat Tire    New Belgium          Toasty malt, gentle sweetness, flash of fresh hop bitterness.
3      Mac n Jacks Mac & Jack's Brewery This beer erupts with a floral, hoppy taste
4      Alaskan Amber Alaskan Brewing     Alaskan Brewing Amber Ale is an "alt" style beer
8      Kirin       Kirin Brewing         Kirin Ichiban is a Lager-type beer
If I run this, what is returned?
select t1.[key]
    from openjson((select t.* FROM Beer AS t for json path)) t1

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