Fill In Missing Dates for SQL Server Query Output
In this tip we look at how to fill gaps in dates and times for SQL Server query output when no data exists for specific dates or times.
2019-07-31
Additional Articles
SQL Change Automation Scripting: Getting Data into a Target Database
Your strategy for loading a freshly built database with data will depend on how much you need. If just a few rows, then single-row INSERT statements will be fine, but for more than that you'll need to build insert the rows using native-format BCP. Fortunately, SQL Change Automation (SCA) can be used with either strategy, as Phil Factor demonstrates.
2019-07-31
Introduction to Running SQL Server 2019 on Kubernetes
The release of SQL Server 2019 further extends the ability to host SQL Server instances on Linux, including running Docker-based SQL Server images on Kubernetes clusters. This latest release further extends the multi-platform capabilities by allowing for Kubernetes-based deployments of SQL Server Always On Availability Groups, delivering increased level of resiliency. Read on to learn more about the basic characteristics of these deployments!
2019-07-30
The ‘= NULL’ Mistake and other SQL NULL Heresies
The SQL Prompt Best Practice rule checks whether a comparison or expression includes a NULL literal ('NULL'), which in SQL Server, rather than result in an error, will simply always produce a NULL result. Phil Factor explains how to avoid this, and other SQL NULL-related calamities.
2019-07-30
Introduction to DevOps: The Application Delivery Pipeline
Some of the terms in the DevOps pipeline, such as CI and CD, can be confusing. In the second article of this series, Robert Sheldon explains these terms and how they fit in the DevOps pipeline. He also talks about some of the tools you might use.
2019-07-29
New release: Data Masker 6.3 for SQL Server
The newest version of Data Masker for SQL Server includes a new rules window with in-product guidance for choosing the right rule, and a new menu bar for fast access to the items you need.
2019-07-29
Azure Data Factory Stored Procedure Activity Transformation Activities
In this post we will discuss Azure Data Factory transformation related pipeline activities using Stored Procedure activity.
2019-07-26
Dealing with Server Objects, Settings and Features when Provisioning Databases
If we want the behavior and performance of our test databases to mimic that observed in production, then we must consider not only the database but also the server. Grant Frtichey reviews the server-level objects, settings and features that we may need to consider, and then shows how to 'synchronize' the linked servers, user logins and SQL Agent jobs, as part of an automated provisioning process, using SQL Provision.
2019-07-26
Modeling Time
There are those who argue that time doesn’t really exist; it’s just an illusion. That debate won’t keep you from storing and manipulating dates and time in SQL Server. In this article, Joe Celko discusses some of the many ways that SQL Server treats temporal data types.
2019-07-25
Static Data and Database Builds
Whichever way you wish to ensure that a database, when built, has all the data that will enable it to function properly, there are reasonably simple ways of doing it. Phil Factor explains the alternatives.
2019-07-25
Blogs
T-SQL Tuesday #198 Invitation: How Do You Detect Data Changes?
It's time for T-SQL Tuesday #198! This month's topic is change detection. The post T-SQL...
Understanding Fabric MCP
By James Serra
Model Context Protocol, or MCP, is one of those technical ideas that sounds more...
AWS RDS Aurora - our first approach
When starting with AWS RDS Aurora for managing relational databases in the cloud, many...
Forums
What is the Best Medicine for Pennis?
The optimal therapy for erectile dysfunction depends on individual health conditions, preferences, and treatment...
SQL Password enforcing
Hi to all We have situation at a client where someone is illegally changing...
SQL Password enforcing
Hi to all We have situation at a client where someone is illegally changing...
Question of the Day
Creating a JSON Document III
I have this data in a table called dbo.NFLTeams
TeamID TeamName City YearEstablished ------ -------- ---- --------------- 1 Cowboys Dallas 1960 2 Eagles Philadelphia 1933 3 Packers Green Bay 1919 4 Chiefs Kansas City 1960 5 49ers San Francisco 1946 6 Broncos Denver 1960 7 Seahawks Seattle 1976 8 Patriots New England 1960If I run this code, how many rows are returned?
SELECT TOP 2
json_objectagg('Team' : TeamName)
FROM dbo.NFLTeams;
See possible answers