A Rickety Stairway to SQL Server Data Mining, Part 10.2: DMX DML
by Steve Bolton
The three introductory posts in this series of self-tutorials on SQL Server Data Mining (SSDM) and the...
2013-03-26
2,216 reads
Multidimensional Mayhem
A Rickety Stairway to SQL Server Data Mining, Part 10.1: DDL with DMX
by Steve Bolton
As users become more familiar with software, they typically follow a progression that begins with learning the...
2013-03-14 (first published: 2013-03-11)
3,121 reads
A Rickety Stairway to SQL Server Data Mining, Algorithm 9: Time Series
by Steve Bolton
The data mining method known as Time Series is aptly named, because it seems to take a...
2013-02-26
3,110 reads
A Rickety Stairway to SQL Server Data Mining, Algorithm 8: Sequence Clustering
by Steve Bolton
In last week’s edition of this amateur series of self-tutorials[i] on SQL Server Data Mining (SSDM), we...
2013-02-21
2,002 reads
A Rickety Stairway to SQL Server Data Mining, Algorithm 7: Clustering
by Steve Bolton
In last week’s installment of this amateur series of self-tutorials on SQL Server Data Mining (SSDM), we...
2013-02-19 (first published: 2013-02-12)
3,278 reads
A Rickety Stairway to SQL Server Data Mining, Algorithm 6: Association Rules
by Steve Bolton
In last week’s installment of this series of self-tutorials on SQL Server Data Mining (SSDM), we covered...
2013-02-07
2,536 reads
A Rickety Stairway to SQL Server Data Mining, Algorithm 5: The Neural Network Algorithm
by Steve Bolton
Anyone who has been following this series of self-tutorials has probably grown accustomed to me adding some...
2013-01-30
2,941 reads
A Rickety Stairway to SQL Server Data Mining, Algorithm 4: Logistic Regression
by Steve Bolton
In the last installment of this series of self-tutorials on SQL Server Data Mining (SSDM), A Rickety...
2013-01-23
2,723 reads
A Rickety Stairway to SQL Server Data Mining, Algorithm 3: Decision Trees
by Steve Bolton
This series of self-tutorials is an elementary-level introduction to SQL Server Data Mining (SSDM), not the product...
2013-01-16
2,933 reads
A Rickety Stairway to SQL Server Data Mining, Algorithm 2: Linear Regression
An algorithm that starts with the word “regression” seems an unlikely candidate to move forward with this series of self-tutorials...
2013-01-08
4,414 reads
Blogs
SQL Saturday Boston Slides and Code
By Steve Jones
Thanks to everyone who attended my sessions today at SQL Saturday Boston 2025. I’ve...
Scaling SQL Server 2025 Vector Search with Load-Balanced Ollama Embeddings
SQL Server 2025 introduces native support for vector data types and external AI models....
Advice I Like: Fear and Imagination
By Steve Jones
Fear is fueled by a lack of imagination. The antidote to fear is not...
Forums
How to use data pre-computed in previous ETL SSIS Nodes?
I'm building ETL packages in SSIS. My data comes from an OLE DB Source...
Building AI Governance and Policies- First Steps
Comments posted to this topic are about the item Building AI Governance and Policies-...
Simple delete causes table scan on other tables with foreign key
Why is sql doing a full scan VS seeking on the index? I've included...
Question of the Day
Checking Identities
The DBCC CHECKIDENT command is used when working with identity values. I have a table with 10 rows in it that looks like this:
TravelLogID CityID StartDate EndDate 1 1 2025-01-11 2025-01-16 2 2 2025-01-11 2025-01-16 3 3 2025-01-11 2025-01-16 4 4 2025-01-11 2025-01-16 5 5 2025-01-11 2025-01-16 6 6 2025-01-11 2025-01-16 7 7 2025-01-11 2025-01-16 8 8 2025-01-11 2025-01-16 9 9 2025-01-11 2025-01-16 10 10 2025-01-11 2025-01-16The docs for DBCC CHECKIDENT say this if I run with only the table parameter: "If the current identity value for a table is less than the maximum identity value stored in the identity column, it is reset using the maximum value in the identity column. " I run this code:
DELETE dbo.TravelLog WHERE TravelLogID >= 9
GO
DBCC CHECKIDENT(TravelLog, RESEED)
GO
INSERT dbo.TravelLog
(
CityID,
StartDate,
EndDate
)
VALUES
(4, '2025-09-14', '2025-09-17')
GO
What is the identity value for the new row inserted by the insert statement above? See possible answers