Stairway to SQL Server Automated Database Testing Level 1: Why You Need TDD
The first article in this Stairway Series makes the case for test-driven development.
2023-10-15 (first published: 2014-12-31)
11,719 reads
- Interests: SQL Server Performance and Code-Quality
Stairway to SQL Server Replication: Level 3 - Transactional Replication – The Publisher
The Publisher is the database where all
replicated data originates. Each Publisher can have multiple publications
defined within it. Each publication contains a set of articles that all need to
reside in a single database. Each article corresponds to all or part of a single
database object. A single database object can map to an article in more than one
publication.
2023-01-04 (first published: 2013-11-20)
12,587 reads
Stairway to SQL Server Replication: Level 2 - The Role of the Distributor
In this Stairway, Sebastian will be covering the details of SQL Server transactional and merge replication, from understanding the basic terminology and methodology of setting up replication, to describing how it works and how the basic replication processes can be monitored.
2022-12-28 (first published: 2013-11-13)
19,517 reads
Stairway to SQL Server Replication: Level 1 - Introduction to SQL Server Replication
In this Stairway, Sebastian will be covering the details of SQL Server transactional and merge replication, from understanding the basic terminology and methodology of setting up replication, to describing how it works and how the basic replication processes can be monitored.
2019-08-14 (first published: 2012-12-26)
38,616 reads
Stairway to SQL Server Replication: Level 4 - Transactional Replication – The Subscriber
The Subscriber is the server where all the changes that are published by replication get delivered to. Every publication needs to have at least one subscriber, but a publication can have many subscribers. This level assumes that you have followed the first three levels and that you have a publication set up, to which you can subscribe.
2013-12-11
15,843 reads
The Fundamentals of SQL Server Replication by Sebastian Meine
Many of my clients need to make data that lives on one server available on another server. There are many reasons for such a requirement. You might want to speed up cross-server queries by providing a local copy of the data. Or you might want to make the data available to resource intensive reporting queries without impacting the OLTP load, maybe even with an intentional delay so you're always reporting against complete days only. Finally, you might be looking to implement high availability. In all these situations, SQL Server Replication is a viable option to look at when planning for the implementation of such a requirement.
2013-09-30
6,818 reads
Stairway to SQL Server Replication - Level 10: Troubleshooting
The final level of this Stairway takes you through how to identify and fix common errors.
2012-04-18
15,283 reads
Stairway to SQL Server Replication - Level 9: The Replication Monitor
Introducing the replication monitor and how to use it to monitor replication health. It also introduces tracer tokens.
2012-03-21
10,048 reads
Stairway to SQL Server Replication - Level 8: Merge Replication – How it works
How merge replication works, including the impact on the published database. The merge agent, different conflict situations and their resolutions are introduced.
2012-03-02
11,232 reads
Stairway to SQL Server Replication - Level 7: Merge Replication – Subscription
This level of the Stairway will cover the details of SQL Server transactional and merge replication, from understanding the basic terminology and methodology of setting up replication, to describing how it works and how the basic replication processes can be monitored.
2012-02-03
7,479 reads
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Question of the Day
Adding new column with DEFAULT II
Which number did the two COUNT(*) return:
DROP TABLE IF EXISTS #tmp CREATE TABLE #tmp (id INT NOT NULL) INSERT INTO #tmp (id) SELECT gs.value FROM GENERATE_SERIES(1, 5) AS gs ALTER TABLE #tmp ADD my_value INT NOT NULL CONSTRAINT df_tmp_my_value DEFAULT 1 SELECT COUNT(*) FROM #tmp AS t WHERE my_value = 1 ALTER TABLE #tmp DROP CONSTRAINT df_tmp_my_value ALTER TABLE #tmp ADD CONSTRAINT df_tmp_my_value DEFAULT 2 FOR my_value SELECT COUNT(*) FROM #tmp AS t WHERE my_value = 1See possible answers