It is dangerous to assume that your data is sound. SQL already has intrinsic ways to cope with missing, or unknown data in its comparison predicate operators, or Theta operators. Can SQL be more effective in the way it deals with data quality? Joe Celko describes how the SQL Standard could soon evolve to deal with data in ways that allow aggregation and windowing in cases where the data quality is less than perfect.
The ever changing nature of the relational database system requires administrators who relish risk and adventure. From the moment that Edgar F Codd proposed his 12 rules that defined the relational database management system, the language COBOL and the VSAM databases that had been so popular vanished as database administrators rushed to adopt the new system, keen as always to adopt the latest technologies, using hardware that had less power than the current middle school math student’s calculator: the relational era was born.
Do you plan for failure as a possibility or a probability? The difference might mean you take your plans and testing a little more seriously. Steve Jones notes that you might want to plan on the latter.
I need to setup a virtual environment for development and testing. I've heard about a new feature in Windows 7 and Windows Server 2008 R2 called boot from a virtual hard disk (VHD) which allows you to create multiple VHDs and select them from the boot menu on startup without having to partition your hard drive to achieve multi-boot. I have a need for SharePoint and SQL Server test and development environments. Can you provide the details of how to set this up?
I had an interview earlier this week. An interview for a SQL developer position. It went fine. But. Question number X...
This article describes a real-world example of performance tuning index maintenance for a large table of approximately 1 billion rows.
Continuing the short series on extended properties, this article explains how to turbocharge the creation of extended properties
Today we have a guest editorial from Andy Warren that talks about the problems we sometimes run into when we must work with other people and make decisions. Sometimes getting the information from people, or giving it to them, is not as simple as we would like.
With a large-scale development of a database application, the task of supporting a large number of development and test databases, keeping them up to date with different builds can soon become ridiculously complex and costly. Grant Fritchey demonstrates a novel solution that can reduce the storage requirements enormously, and allow individual developers to work on thir own version, using a full set of data.
Creating a Fabric workspace takes about 30 seconds. Restructuring workspaces after people have built...
By Steve Jones
It’s a small change, but a handy one. Flyway Desktop (FWD) now includes the...
By Steve Jones
Software is hard. While I love our Lucid Gravity, I realize that they are...
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Which number did the two COUNT(*) return:
DROP TABLE IF EXISTS #tmp CREATE TABLE #tmp (id INT NOT NULL) INSERT INTO #tmp (id) SELECT gs.value FROM GENERATE_SERIES(1, 5) AS gs ALTER TABLE #tmp ADD my_value INT NOT NULL CONSTRAINT df_tmp_my_value DEFAULT 1 SELECT COUNT(*) FROM #tmp AS t WHERE my_value = 1 ALTER TABLE #tmp DROP CONSTRAINT df_tmp_my_value ALTER TABLE #tmp ADD CONSTRAINT df_tmp_my_value DEFAULT 2 FOR my_value SELECT COUNT(*) FROM #tmp AS t WHERE my_value = 1See possible answers