The release of SQL Server Management Studio (SSMS) 18.6 is now available for download. Today we’re sharing some of the updates from the release and the ongoing work in SQL Server Management Studio. Download SSMS 18.6 and read on for some highlights from the SSMS Release Notes. The 18.6 release is the second major release of SSMS in 2020 and packs several high impact changes, including a fix for crashes in database diagrams. Key fixes include...
If you are working on any module or routine such as a procedure, function or batch that produces a result, then you will want to compare it with something that you’ve prepared earlier to make sure that it is the same. It is often necessary to compare objects, particularly when you are working on a routine that generates an object and you want to check that an improvement you’ve made is actually returned the same result. An XML or JSON document is the nearest we get to an object in SQL Server. This is probably as near as you’d want. Although this routine is designed to compare JSON documents, and takes them as input, it can be used for comparing any results.
In the first part, we presented the general algorithm for deleting open transactions that are not completed from a SQL Server database and considered the process of creating a table to record incomplete transactions. Now, let’s look at the process of creating a CRUD stored procedure to find and delete active transactions in SQL Server.
In this last entry in the initial series of posts on building a SQL Agent Job Generator, I am going to add the ability to schedule the jobs that we generated in the previous post. The code that is available here in github: https://github.com/drsqlgithub/SSISDeployTool/tree/e8c44505bba6b3c764531c8b489101b39b5c27a7, is likely sufficient for some smaller organization’s needs with jobs. (Future entries will handle triggering jobs, validating the Json, capturing performance history, Finding differences between Json and actual jobs. SSIS jobs and deployments. (the name of the github repository is SSISDeploy for a reason)), etc).
Many organizations seek to do more with their data than pump out dashboards and reports. Applying advanced analytical approaches such as machine learning is an essential arena of knowledge for any data professional. While database administrators (DBAs) don’t necessarily have to become data scientists, they should have a deep understanding of the machine learning technologies at their disposal and how to use them in collaboration with other domain experts.
Organizations that embraced the option to run Microsoft SQL Server 2017 on Linux have been looking forward to the release of SQL Server 2019. Regardless of which operating system (OS) you choose, it’s the same SQL Server database code, and includes even more of the same features and services as the Windows release. This introductory blog post about running Microsoft SQL Server 2019 on Linux provides basic information database professionals need to know before upgrading or migrating SQL Server onto Linux.
With SQL Server 2017, Microsoft entered the world of multi-OS platform support for SQL Server. For many technical professionals, the ability to run SQL Server on the same open source operating system as the rest of the application stack is not just a goal, but a dream that Microsoft made come true. With the release of SQL Server 2019, the inclusion of Linux now includes new features, support, and capabilities.
Today we’re announcing the release of SQL Server Management Studio (SSMS) 18.4. This update has full support for SQL Server 2019 capabilities as well as some bug fixes. You can download SQL Server Management Studio 18.4 today and review SQL Server Management Studio release notes for details.
As you saw from our launch announcementearlier today, over a year ago at Microsoft Ignite we announcedour first preview of SQL Server 2019 and today our latest releaseis now generally available.You have told us that in today’s demanding world of massive data, wide variety of data sources, and expect...
SQL Server Management Studio is as Relevant as EverAfter fifteen years of heavy usage by developers and DBAs, it might seem like Microsoft’s free tool, SQL Server Management Studio, is about to go out of style. SSMS is no longer the cool new kid on the block: Microsoft has shown consistent effort to...
Today we’re announcing the release of SQL Server Management Studio (SSMS) 18.3. For this update, while we added some features, our focus was primarily on fundamentals such as stability, reliability, and performance.
This is a continuation of a series of articles I've written on SQL Server concepts.When you work with SQL Server long enough on a database with enough traffic, you're eventually going to encounter deadlocks.This article discusses what deadlocks are, how to interpret deadlock graphs, and some options...
We have released for general availability Microsoft.Data.SqlClient 1.0. This .NET Data Provider for SQL Server provides general connectivity to the database and supports all the latest SQL Server features for applications targeting .NET Framework and .NET Core. To try out the new package, add a NuGet reference to Microsoft.Data.SqlClient in your application.
SQL Server Migration Assistant (SSMA) for Oracle, MySQL, SAP ASE (formerly SAP Sybase ASE), DB2, and Access allows users to convert a database schema to a Microsoft SQL Server schema, upload the schema, and then migrate data to the target SQL Server (see below for supported versions).