Data structure virtualization is the constructing of a data structure utilizing pieces or fragments from other data structures. This article demonstrates how Data structure virtualization can be performed in ANSI SQL utilizing hierarchical processing techniques to produce hierarchically structured virtualized output.
2010-11-04
3,087 reads
In this next installment of the series on writing codeless applications, David Ziffer looks at the querying of data from the database.
2010-11-03
5,398 reads
Database maintenance is a critical task for every DBA. For this month’s question, list the typical steps that you use...
2010-11-03
1,706 reads
Fabiano introduces another ShowPlan operator that is used to build a query plan, or perform an operation specified in the DML. Once again, Fabiano demonstrates why it is important to be aware of these operators when getting queries to perform well.
2010-11-03
2,705 reads
Welcome to the second post of my “SQLBIGeek’s Function Friday” blog series. In this series, I am...
2010-11-03
1,111 reads
Learn to use recursion to determine which row caused your merge statement to fail in this article.
2010-11-02
16,656 reads
As your database grows in size, Analysis Services cubes that use that database grow along with it. As such, one...
2010-11-02
2,638 reads
Conditional Split is one of the most commonly used transforms in any SSIS Package development routine. The limitation with conditional split is that any record that satisfies the first condition from the conditions list is routed to its corresponding path exclusively. In a logical sense, a record might satisfy more than one condition and one might want the record to be routed to all paths for processing, but with the Conditional Split transform this is not possible. We need a more intelligent conditional split where we can selectively route the records to more than one output path. In this tip we will look at how to facilitate this intelligent conditional split.
2010-11-02
3,231 reads
This article shows us a different way of finding all records between 2 dates.
2010-11-01
31,328 reads
This challenge involves writing a logic to change the column position of values in the output based on the presence and absence of other values on each output row.
2010-11-01
2,843 reads
By Steve Jones
I wrote an article recently on the JSON_OBJECTAGG function, but neglected to include an...
By HeyMo0sh
After working deep in cloud operations, I’ve learned that FinOps isn’t really about dashboards...
By gbargsley
Hello, dear blog reader. Today’s post is coming to you straight from the home...
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