I have come across a lot of use cases for manufacturing rows on the fly, aside from the common goal of populating a large data set such as a numbers or calendar table. A few favorites include building sample data, pivoting an unknown number of columns, data extrapolation, and filling gaps in date or time ranges.
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This article gives an overview of Amazon Redshift, the cloud data warehouse in AWS.
Most of us want more autonomy at work, but it isn't given out without effort. Today Andy Warren has a few thoughts on how to get more freedom from your boss.
In this tip, we explore two behaviors for the DAX RANKX function that can lead to incorrect results and discuss workarounds and fixes.
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Brent Ozar has his quarterly report on SQL Server versions and SQL Server 2022 isn't being used as much. Does that make sense to you? What versions are you installing?
An interesting approach to schema changes is a creative solution to Steve. He asks if you have other creative solutions you've seen.
PSPO (Parameter Sensitive Plan Optimization) is a SQL Server feature that improves query performance by accepting varied data sizes based on the runtime parameter value(s) specified by the customer. It deals with the situation in which a single cached plan for a parameterized query isn't the best option for all potential incoming parameter values. Non-uniform data distributions exhibit this phenomenon. When using PSPO, SQL Server keeps several execution plans for a single query, each one customized for a particular parameter value. With the help of this feature, numerous execution plans for a parameterized query are generated, each of which is tailored for a certain range of parameter values.
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I want to create a JSON document that contains data from this table:
TeamID TeamName City YearEstablished 1 Cowboys Dallas 1960 2 Eagles Philadelphia 1933If I run this code, what is returned?
SELECT json_objectagg('Team' : TeamName)
FROM dbo.NFLTeams;
See possible answers