Scripts

Technical Article

T-SQL Table Valued Function to compare Semantic Versions

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.

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2025-05-27

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Technical Article

Real-Time SQL Server to BigQuery Streaming ETL using CDC

CDC Changes: The script queries the CDC tables in SQL Server to retrieve the changes (inserts, updates, deletes) since the last sync. Each change is processed with a mapped operation type (INSERT, UPDATE, DELETE).
Real-Time Streaming to BigQuery: The captured changes are streamed directly to BigQuery using its real-time insert_rows_json method, avoiding the need for batch uploads via Google Cloud Storage.
Tracking Last Sync Time: The script tracks the last synchronization time and updates it after every successful sync, ensuring no data is missed.
Low Latency: By continuously querying the CDC tables and streaming the changes, the script achieves near real-time data synchronization.

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2024-11-13 (first published: )

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Question of the Day

The Read Committed Snapshot Isolation behaviour

I am currently working with Sql Server 2022 and AdventureWorks database. First of all, let's set the "Read Committed Snapshot" to ON:

use master;
go

alter database AdventureWorks set read_committed_snapshot on with no_wait;
go
Then, from Session 1, I execute the following code:
--Session 1
use AdventureWorks;
go

create table ##t1 (id int, f1 varchar(10));
go

insert into ##t1 values (1, 'A');
From another session, called Session 2, I open a transaction and execute the following update:
--Session 2
use AdventureWorks;
go

begin tran;
update ##t1 
set f1 = 'B'
where id = 1;
Now, going back to Session 1, what happens if I execute this statement?
--Session 1
select f1
from ##t1
where id = 1;
 

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