Questions about Comparing Databases with SQL Compare that you were Too Shy to Ask
Phil Factor offers straightforward answers to tricky SQL Compare questions.
2020-09-30
sql compare
Database Development with GitHub
How can you use GitHub to do team-based database development? This article proposes a process that splits development work into task-based GitHub branches, incorporates daily database builds and integration testing, and using Redgate tools to automate tasks such as provisioning, database scripting, and testing.
2020-09-25
Using Filters to Fine-tune Redgate Database Deployments
Filters are used by Redgate's SQL Compare, SQL Source Control, DLM Dashboard, and SQL Change Automation. A typical use for a filter is to work on just one schema within a database or just a limited set of tables and routines. You would also want to use a filter to exclude certain object, such as database users, from comparisons. Phil Factor explains how they work, and how to create, edit and then use them within the various Redgate tools.
2020-09-02
Reverse-Engineering the Production Database into Source Control
Starting out a new database development with source control is relatively easy. To introduce source control into an existing database application can be more challenging. Phil Factor explains some of the fundamental steps.
2020-08-28
Creating a Simple Development Harness with SQL Compare and SQL Data Generator
There is no single, correct approach to developing and testing your SQL batches and routines. It depends on the requirement. For simple tasks, like modifying and testing a view or stored procedure, SQL Compare and SQL Data Generator, combined, provide a useful, lightweight development harness.
2020-07-29
Exploring the SQL Compare Options
Phil Factor dissects and disentangles the various SQL Compare options.
2020-07-28
The Database Development Stage
Phil Factor distills the basic tasks of the database development stage and explains how SQL Compare can help tackle them.
2020-06-12
Using Custom Deployment Scripts with SQL Compare or SQL Change Automation
Phil Factor describes how custom pre- and post-deployment scripts work, when doing state-based database deployments with SQL Compare or SQL Change Automation, and how you might use them to, for example, add a version number to the target database, specify its database settings, or stuff data into some tables.
2019-11-18
Blogs
Keeping Track of my ConEmu CLIs
By Steve Jones
I use ConEmu for my terminal interface. I’m still on Windows 10 at home,...
10 Decisions to Make Before You Create A Fabric Workspace
Creating a Fabric workspace takes about 30 seconds. Restructuring workspaces after people have built...
Flyway Tips: Object History
By Steve Jones
It’s a small change, but a handy one. Flyway Desktop (FWD) now includes the...
Forums
Adding new column with DEFAULT II
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Advanced Deployment Scenarios: Stairway to Reliable Database Deployments Level 7
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You Need a DBA Pipeline
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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