Fine-grained Access Control for Stored Procedures
Fine-grained access control for stored procedures using a programmable database proxy
2024-06-14
1,778 reads
maxtardiveau
Data Masking: Static vs Dynamic
Learn about how static data masking differs from dynamic masking and learn which one might be best for your organization.
2022-10-07
3,452 reads
Linked Servers: a Peek Behind the Curtain
Learn how a linked server caused an issue with Gallium Data.
2022-07-15
5,179 reads
Can We Please Stop Sending Passwords Over the Wire?
While analyzing SQL Server's network protocol, I came across a weird fact: when a database client logs in using SQL Server authentication (as opposed to Windows authentication), it has to send the user's password to the server, in blatant violation of common security guidelines. At first, I couldn't believe it; SQL Server generally does an […]
2022-03-02
5,481 reads
Query control made easy
Overview As we all know, data security is a never-ending battle. Every day, we hear of new data breaches. It's a hard problem, and there is no single solution, other than a defense in depth. Let's look at one of those defenses for databases: query control. Query control is a simple idea: most applications access […]
2022-01-07
4,010 reads
SQL Server Data Classification Comes Alive
Overview Microsoft SQL Server 2012 introduced a feature called data classification, which allows you to mark certain columns with labels, indicating that these columns contain sensitive or special-handling data. For instance, you may want to mark a column containing credit card numbers as "confidential", or sales numbers as "management only". The problem is that you […]
2021-12-10
5,190 reads
SQL Server Data Masking: a comparison with Gallium Data
Introduction In SQL Server 2016, Microsoft introduced a new feature called dynamic data masking, which allows you to mask the values of certain columns and keep that data hidden from certain users, without having to modify your applications. Let's take a look at how SQL Server does data masking, and compare it to the way Gallium Data […]
2021-12-03
1,920 reads
SQL Server Row-Level Security: A Comparison with Gallium Data
A quick look at how the native SQL Server Row-Level Security compares with Gallium Data's solution for limiting access to rows of data.
2021-11-15
3,108 reads
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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