Cleanup backup file folder future 7 days
Two PowerShell scripts to create backup folders and clean up old files.
2025-08-29 (first published: 2025-08-16)
331 reads
Two PowerShell scripts to create backup folders and clean up old files.
2025-08-29 (first published: 2025-08-16)
331 reads
This script produces scripts for all the stored procedures in a database.
2025-06-18 (first published: 2025-06-13)
1,042 reads
Semantic versioning (SemVer) is a standardized system for labeling software releases using a three-part number—major, minor, and patch—optionally followed by pre-release labels and build metadata. Comparing semantic versions is complex because it requires handling both numeric and string components, as well as special precedence rules for pre-releases and stable versions. SQL Server’s hierarchyid data type is ideally suited for comparing the numeric parts of semantic versions, enabling efficient and accurate ordering without the pitfalls of string comparison or manual parsing.
2025-05-27
255 reads
This script will help to find orphan users on all databases and will remove them.
2025-05-20
497 reads
2025-05-06
903 reads
This script runs a SQL server Health check for services, databases, Always On, replication, CDC job status.
2025-05-05
1,121 reads
To fetch an execution plan from SQL Server's buffer cache (i.e., the in-memory cache of execution plans), you can query the dynamic management views (DMVs) that SQL Server exposes.
2025-04-30
244 reads
Explanation: sys.databases contains information about all databases on the SQL Server instance. • HAS_DBACCESS(name) = 1 filters out the databases you dont have access to. •ORDER BY name sorts the result alphabetically.
2025-03-04
363 reads
This script will help to get the Database mdf & ldf files size, used space, Free space in MB.
2025-02-27 (first published: 2025-02-25)
379 reads
This T-SQL script helps you monitor the size and status of all databases on your SQL Server instance, providing insights into space usage and performance.
2025-01-29 (first published: 2025-01-20)
951 reads
If you've ever loaded a 2 GB CSV into pandas just to run a...
By James Serra
What problem is Fabric Ontology trying to solve? For years, most data conversations have...
By Steve Jones
Recently I ran across some code that used a lot of QUOTENAME() calls. A...
Tlp/Wa_Cs:0817-866-887 Jl. Brigjen Sudiarto No.294, Palebon, Kec. Pedurungan, Kota Semarang, Jawa Tengah 50273
Tlp/Wa_Cs:0817-866-887 Jl. Majapahit No.112, Pandean Lamper, Kec. Gayamsari, Kota Semarang, Jawa Tengah 50161
Tlp/Wa_Cs:0817-866-887 Jl. Jenderal Ahmad Yani No.24-26, Panderejo, Kec. Banyuwangi, Kabupaten Banyuwangi, Jawa Timur 68416
We create the following table and then insert some records in it:
create table t1 ( id int primary key, category char(1) not null, product varchar(50) ); insert into t1 values (1, 'A', 'Product 1'), (2, 'A', 'Product 2'), (3, 'A', 'Product 3'), (4, 'B', 'Product 4'), (5, 'B', 'Product 5');What happens if we execute the following query in both Sql Server and PostgreSQL?
select id,
category,
string_agg(product, ';')
over (partition by category order by id
rows between unbounded preceding and unbounded following) as stragg
from t1; See possible answers