Gitflow Workflow Hotfix Branching for SQL Database Projects
Git is a great tool for source control and in this tip we look at how you can utilize Git source control to build and deploy database hotfixes.
2021-02-10
Additional Articles
Melissa Data Quality Solutions for SSIS
For organizations relying on the SQL Server, Melissa's solutions directly integrate with SSIS, so the learning curve is minimal. You can drag and drop Melissa components in SSIS to validate, cleanse, append and enhance data.
2021-02-09
What will you learn at the Redgate Summit?
There's just 1 week left until the Redgate Summit: The Future of Database DevOps. Check out this blogpost for what's in store, spoilers from our speakers on what they're most excited to share on the day, and why you should attend.
2021-02-09
SQL Server Extended Events Filtering by Database Name
In this article we look at how to properly filter out events using a database name pattern in an Extended Events Session.
2021-02-08
What's the Quarantine state in Windows Failover Clusters
In this article we cover why Windows Failover Cluster nodes can go into a quarantined state, how to resolve this as well as how to set threshold values for this cluster node state.
2021-02-08
Create Azure DevOps Analytics Visuals with Power BI OData Queries
This article focuses on the use of OData Queries to integrate DevOps Analytics data to Power BI.
2021-02-05
Gitflow Workflow Hotfix Branching for SQL Database Projects
Git is a great tool for source control and in this tip we look at how you can utilize Git source control to build and deploy database hotfixes.
2021-02-05
Oracle archived redo size – the research
Oracle archived redo size may be smaller than that of online redo log files. In this article, Jonathan Lewis takes a deeper look.
2021-02-04
SQL Server SET STATISTICS IO ON Deep Dive
In this article we look at how to interpret and use the results of STATISTICS IO when tuning SQL Server queries.
2021-02-04
CRUD Operations in SQL Server using Python
This article goes through a process to show how you can use Python to perform create, read, update, and delete (CRUD) operations on SQL Server data.
2021-02-03
Blogs
Free webinar – Tackling the Gaps and Islands Problem with T-SQL Window Functions
I’m hosting a free webinar at MSSQLTips.com at the 19th of December 2024, 6PM...
Counting Groups with Window Functions: #SQLNewBlogger
By Steve Jones
I looked at row_number() in a previous post. Now I want to build on...
The query processor ran out of internal resources and could not produce a query plan – When You’ve Managed to Confuse SQL With a Crazy IN Clause.
Recently I received a cry for help over Teams. The issue was that an...
Forums
Python with SQL 2022 Enterprise doesn’t work
I have installed Machine Learning with SQL 2022 Enterprise Edition and installed and configured...
A Guide to SQL Security in Django
Comments posted to this topic are about the item A Guide to SQL Security...
I Need a CS Degree. I Don't Need a CS Degree
Comments posted to this topic are about the item I Need a CS Degree....
Question of the Day
Incremental Statistics
I have run this on SQL Server 2022 for the Sales database:
ALTER DATABASE Sales SET AUTO_CREATE_STATISTICS ON (INCREMENTAL = ON)I then run this in the Sales database:
USE Sales GO CREATE STATISTICS CustomerStats1 ON dbo.Customer (CustomerKey, EmailAddress) WITH INCREMENTAL = OFFThe dbo.Customer table is partitioned. How are statistics created? See possible answers