Replace Bad Characters in Table
Learn how to clean bad characters from lots of data in this article.
Generating HTML from SQL Server Queries
You can produce HTML from SQL because SQL Server has built-in support for outputting XML, and HTML is best understood as a slightly odd dialect of XML that imparts meaning to predefined tags. There are plenty of edge cases where an HTML structure is the most obvious way of communicating tables, lists and directories. Where data is hierarchical, it can make even more sense. William Brewer gives a simple introduction to a few HTML-output techniques.
Classifying Sensitive Data
The ability to protect, and perhaps handle, sensitive data separately from other data is becoming more important. Steve Jones discusses the process and asks if it's something you perform on a regular basis.
Filegroup Restoring and Database Consistency
In this article, we'll explore a less used feature of SQL Server: filegroup restoring, feature that has an interesting consequence because database can become inconsistent without any warning and standard checks don't reveal any issue.
How to Read the Transaction Log File
Have you ever wanted to be able to see the actual transactions that are contained in the transaction log file? Greg Larsen shows you how to browse the transaction log using an undocumented function.
Improving Replication
If you have ideas for how to improve replication, Steve Jones is asking for them.
The Forgotten Editorial
Phil Factor reflects on the occasional benefits of document loss, whether accidental or less so.
Workplace Encounters: Using Volume Mount Points in SQL FCIs
How we overcame the A to Z Windows Drive-Letter limitation using Volume Mount Points
A DLM Approach to Database Testing
Database Lifecycle Management aims to make the development and modification of databases more predictable. Bugs are the source of more unpredictability than anything else, purely because it is so difficult to guess how long it will take to fix them. Good testing at all stages may take some time and effort, but it greatly reduces likelihood of the wildcard factor of the bug that is first detected during the deployment process; or worse, that gets into the production release.
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Question of the Day
Creating a JSON Document IV
I have this data in a table called dbo.NFLTeams
TeamID TeamName City YearEstablished ------ -------- ---- --------------- 1 Cowboys Dallas 1960 2 Eagles Philadelphia 1933 3 Packers Green Bay 1919 4 Chiefs Kansas City 1960 5 49ers San Francisco 1946 6 Broncos Denver 1960 7 Seahawks Seattle 1976 8 Patriots New England 1960If I run this code, how many rows are returned?
SELECT YearEstablished, json_objectagg(city : TeamName) FROM dbo.NFLTeams GROUP BY YearEstablished;See possible answers