Unless you are working on a reporting-only application you will probably need to update tables in your SQL Server database. To update rows in a table you use the UPDATE statement. In this level we will be discussing how to find and update records in your database, and discuss the pitfalls you might run into when using the UPDATE statement.
As the SQL Developer community grows to embrace the benefits of test-driven development for databases, so the importance of learning to do it properly increases. One way of learning effective TDD is by the use of code kata – short practice sessions that encourage test-first development in baby steps. I have a limited number of licences for SQL Test to give away free – just for practicing a bit of TDD and telling me about it.
As you know, SQL Server databases and backup files can take up a lot of disk space. When disk is running low and you need to troubleshoot disk space issues, the first thing to do is to find large files that are consuming disk space. In this article I will show you a PowerShell script that you can use to find large files on your disks.
Once again Jonathan Lewis (Oracle Ace Director, OakTable Network) and Grant Fritchey (Microsoft SQL Server MVP) will host a live discussion on Oracle and SQL Server, this time in relation to temporary tables. Will they agree on some common ground? Or will it be an out and out argument? Either way, be prepared for a lively exchange that will not only entertain, but will teach you key concepts on Oracle and SQL Server.
WARNING: This editorial contains graphic language. Viewer discretion is advised.
Column Store Index, a new feature in SQL Server 2012, improves performance of data warehouse queries several folds. Arshad Ali shows you how to create column store index, and how to use index query hint to include or exclude a column store index.
One of the really classic analogies in software is that it's like building a house. You have a foundation, multiple teams, lots of contractors that specialize in something, etc. And it's an analogy that's debated as to its relevance over and over. I won't go into the correctness of this analogy, but I wanted to comment on it.
The challenge is to compare the data of the rows and group the input data. The data needs to be grouped based on the Product ID, Date, TotalLines, LinesOutOfService.
Your data is in the public domain and as a DBA you need to be very familiar with what it is possible for the sinner to do with a handy password, and how easily that sinner can get hold of it.
Recently while working on a project to import data from an Excel worksheet using SSIS, I realized that sometimes the SSIS Package failed even though when there were no changes in the structure/schema of the Excel worksheet. I investigated it and I noticed that the SSIS Package succeeded for some set of files, but for others it failed. I found that the structure/schema of the worksheet from both these sets of Excel files were the same, the data was the only difference. How come just changing the data can make an SSIS Package fail? What actually causes this failure? What can we do to fix it?
By gbargsley
Hello, dear blog reader. Today’s post is coming to you straight from the home...
By Steve Jones
This month I’m thrilled that Steve Hughes is hosting. I’ve read this Data on...
By Steve Jones
One of the things a customer asked recently about Redgate Data Modeler was how...
Comments posted to this topic are about the item Creating a JSON Document I
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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