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The SQL Server Features that Time Forgot

Every new release of SQL Server comes with new features that cause a ripple of excitement within the industry: well, amongst the marketing people anyway. What happens to all the exciting TLAs that are bandied about when a new version launches? It's mixed, it seems. Adam Machanic's classic post, The SQL Hall of Shame, has inspired Rob Sheldon to look back at some of the features that, though worthy, have may have failed to hit the mainstream.

2017-10-27

5,970 reads

External Article

SQL Server R Services: Working with ggplot2 Statistical Graphics

It is when you use R in SQL Server with one of the huge range of packages that comes with it that you can begin to appreciate the power of the system. With a package such as ggplot there are many 'knobs one can twiddle' in order to get spectacular and informative visualisations. Rob Sheldon continues his beginners series for R in SQL Server by showing how to refine the output to get it as you need it.

2017-10-25

3,267 reads

External Article

How to determine SQL Server database transaction log usage

One crucial aspect of all databases is the transaction log. The transaction log is used to write all transactions prior to committing the data to the data file. In some circumstances the transaction logs can get quite large and not knowing what is in the transaction log or how much space is being used can become a problem. So how to you determine how much of the transaction log is being used and what portions are being used?

2017-10-24

4,163 reads

External Article

Overview of Azure Data Lake

Azure Data Lake stores petabytes of data and analyzes trillions of objects in one place with no constraints. Data Lake Store can store any type of data including massive data like high-resolution video, medical data, and data from a wide variety of industries. Data Lake Store scales throughput to support any size of analytic workload with low latency. Read on to learn more.

2017-10-20

3,483 reads

External Article

Simple SQL: Random Thoughts

How does one get a truly random sample of data of a certain size from a SQL Server database table. Well, there are simple non-portable tricks one can use, such as the NewID() function, but then refining those can be tricky. Take the Rand() function for a start. Can it really provide you with a truly random number? Why doesn't the TABLESAMPLE clause give you a set number of rows? Joe Celko scratches his head a bit, explains some of the issues and invites some suggestions and tricks from readers.

2017-10-19

3,623 reads

External Article

The Power of Python and SQL Server 2017

Python is new to SQL Server 2017. It is intended primarily to allow the use of Python-based machine-learning within SQL Server, but it can be used for far more than this, with any Python libraries or Frameworks. To provide an example of what is possible, Hitendra shows how to use the feature securely to provide intelligent application caching, where SQL Server can automatically indicate when data changes to trigger a cache refresh.

2017-10-16

5,024 reads

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Question of the Day

Getting the Average

I have this data in the dbo.Commission table in a SQL Server 2022 database.

salesperson commission
Brian       12
Brian       16
Andy        7
Andy        14
Andy        21
Steve       20
Steve       NULL
All the data is a varchar, and I decide to run this query to get the totals for each salesperson.
SELECT SalesPerson
     , AVG(TRY_PARSE(Commission AS int)) AS TotalCommission
 FROM commission
 GROUP BY SalesPerson
GO
What average commission is calculated for Steve?

See possible answers