Azure SQL Database Elastic Scale Part 1 - What is Sharding?
Azure SQL Database Elastic Scale Part 1 - What is Sharding?MARCH 19, 2015
This week, Microsoft introduced an update to Azure SQL...
2019-08-09 (first published: 2015-03-19)
15,621 reads
Azure SQL Database Elastic Scale Part 1 - What is Sharding?MARCH 19, 2015
This week, Microsoft introduced an update to Azure SQL...
2019-08-09 (first published: 2015-03-19)
15,621 reads
Azure SQL Database Elastic Scale Part 3 - Setting up and Querying the ShardsMAY 28, 2015
For those of you who have...
2019-08-09 (first published: 2015-05-28)
4,117 reads
Dynamic Data MaskingFEBRUARY 26, 2015
Have you ever wanted to only show parts of a field to certain sets of users...
2019-08-09 (first published: 2015-02-26)
8,874 reads
Index Fragmentation in Azure SQL DatabaseFEBRUARY 4, 2015
Recently, I read the articles Stop Worrying About SQL Server Fragmentationand When Does...
2019-08-09 (first published: 2015-02-03)
13,529 reads
Setting Up Alerts in Azure SQL DatabaseSEPTEMBER 8, 2015
Introduction
If I've learned one thing with my on premise versions of SQL...
2019-08-09 (first published: 2015-09-08)
3,769 reads
SQL Azure has T-SQL Jobs - Well AlmostJUNE 25, 2015
Introduction
One thing that has been lacking in Azure SQL Database is the...
2019-08-09 (first published: 2015-06-25)
2,843 reads
Using AzCopy in a SQL Job to Upload Files to Azure Blob StorageNOVEMBER 11, 2015
Introduction
In my next series of posts,...
2019-08-09 (first published: 2015-11-10)
7,241 reads
Top 10 Enhancements to Azure SQL Database in 2015DECEMBER 27, 2015
Introduction
2015 has been a massive year for Azure SQL Database....
2015-12-27
1,013 reads
Top 10 Enhancements to Azure SQL Database in 2015
DECEMBER 27, 2015
Introduction2015 has been a massive year for Azure SQL Database. This year has seen the product mature from "an...
2015-12-27
26 reads
Getting Started with Azure Data Factory - Part 1DECEMBER 9, 2015
Introduction
The Azure Data Factory is a means of moving data around...
2015-12-09
4,128 reads
By Steve Jones
Redgate is a for-profit company. We look to make money by building and selling...
I’ve uploaded the slides for my Techorama session Microsoft Fabric for Dummies and my...
If you've ever loaded a 2 GB CSV into pandas just to run a...
Comments posted to this topic are about the item Even When You Know What...
Comments posted to this topic are about the item The New Software Team
Comments posted to this topic are about the item Database Mail in SQL Server...
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