Query Monitoring and the GDPR
I’ve been reading the General Data Protection Regulation (GDPR) and discussing the ramifications of the beginning of enforcement with lots...
2018-03-28 (first published: 2018-03-19)
2,776 reads
Grant Fritchey
- Twitter: @https://twitter.com/gfritchey
- Website: https://scarydba.com
- LinkedIn: https://www.linkedin.com/in/grant-fritchey/
- Bluesky: https://bsky.app/profile/gfritchey.bsky.social
Query Store and Automated Cleanup
Query Store has mechanisms for automatically cleaning your data. It is possible to cause them to break down. While presenting...
2018-03-26
532 reads
Every Single Execution Plan is an Estimated Plan
All the execution plans are estimated plans. All of them. There fundamentally isn’t any such thing as an “Actual” plan.
Where...
2018-03-14 (first published: 2018-03-05)
1,818 reads
Execution Plans and the GDPR
What? Execution plans and the GDPR? Is this it? Have I completely lost it? Well, no, not on this topic,...
2018-03-12
840 reads
Precons in Richmond, Philadelphia and New York
I love when I get the opportunity to present at SQLSaturday events. Even more than that, I love when I...
2018-03-09 (first published: 2018-02-28)
1,667 reads
YouTube Channel Update
Hey! Here’s the latest on my YouTube Channel. Click on through and subscribe. I’ll be doing lots of stuff on...
2018-03-02
316 reads
Adaptive Joins
I was surprised to find out that a lot people hadn’t heard about the new join type, Adaptive join. So,...
2018-02-27
1,141 reads
GDPR: Your Hair Is Not On Fire
Along with a lot of other people, I’ve been attempting to call people’s attentions to the new General Data Protection...
2018-02-26
478 reads
Building Culture
The origins of PASS have shaped its culture for years. Are you doing the same in your organization?
2018-02-19
81 reads
Wait Statistics on a Query
Wait statistics are a vital part of understanding what is causing your system to run slowly. Capturing them can be...
2018-02-14 (first published: 2018-02-05)
2,715 reads
Blogs
A Cloud Dependency Failure from Amazon
By Steve Jones
I went to sleep while reading a Kindle book on my phone. I know...
Deploying AI in logistics (the unfiltered version)
A conversation with Jan Laš, CIO at HOPI, about what deploying a data agent...
T-SQL Tuesday #198 Invitation: How Do You Detect Data Changes?
It's time for T-SQL Tuesday #198! This month's topic is change detection. The post T-SQL...
Forums
SPAM Issues May 2026
We suffered a SPAM attack from May 1-6, which unfortunately corresponded with time off...
SQL Password enforcing
Hi to all We have situation at a client where someone is illegally changing...
SQL Password enforcing
Hi to all We have situation at a client where someone is illegally changing...
Question of the Day
Creating a JSON Document III
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 TOP 2
json_objectagg('Team' : TeamName)
FROM dbo.NFLTeams;
See possible answers