The SQL Server AMA thread on reddit, has finished. I have put 8 most interesting answers here and then gave my take on it, the questions will be linked straight to the question on reddit. The answer will be in italics and my take on it will be below in regular font
What was the reasoning for having SQL Server for Linux run atop Drawbridge, rather than directly interfacing with Linux? It seams like it's not a true Linux port if NT Kernel emulation is required
I guess you can always debate whether it is better to have an abstraction layer or do a full port. I am a practical person, and like to judge based on results. I myself am not on the Linux team, but am really impressed with what the team has managed to deliver thus far, both in terms of feature set and in terms of performance. A full port would have taken much longer and would have led to a code base that is much harder to maintain.
I never heard of Drawbridge either. From the Microsoft Drawbridge research page: Drawbridge combines two core technologies: First, a picoprocess, which is a process-based isolation container with a minimal kernel API surface. Second, a library OS, which is a version of Windows enlightened to run efficiently within a picoprocess.
I really like the JSON support you guys added. Is JSON in SQL Server still evolving, or are you guys happy with where it is at?I would love to see a JSON data type, like XML support. Thanks!
It makes sense that they decided to use nvarchar since you can then use it with in-memory OLTP and Columnstore. We currently store json in some of our tables but we never search on it or manipulate it in the DB
Haha I knew this would be asked, great answer also. We all remember the Ballmer Linux is a cancer quote, how things have changed
I am so sorry, but I just had to add this image :-)
That said, we are working on a new set of multi-platform SQL client tools that DBAs and database developers can use on Linux/macOS/Windows. The new 'mssql' extension for Visual Studio Code is our first attempt in this area and we are using it to prove out the multi-platform SQL tools stack "backend" we've created.
We don't have specific dates yet but stay tuned for more details in the coming months. Meanwhile, you can try the mssql extension for VS Code on Linux/macOS/Windows from here: https://aka.ms/mssql-marketplace
We plan to have a cross-platform tool that will be Linux native. We don't have an exact date set but it's in the works for 2017. In the meantime, you can connect to SQL Server on Linux through the Visual Studio Code mssql extension as well as SSMS.
So it looks like there will be a cross-platform tool, maybe something like Visual Studio Code, make it web based. As long as it is not based on Java and has that nasty purple shiny look and feel. But in reality, all the people I worked with that used *nix always used windows and then would use PuTTY or something similar to SSH into the box and just do everything from the command line.
Yes, it will! Cost = free.
Is there any plan to make SQL Server work on Windows Server Nano?
This is something that we are looking into. It would require creating a new appx-style package for deployment. That in itself would be a good thing actually that could make it easier to install SQL Server (like the package based install for SQL Server on Linux) but it would be a very large development effort. Spending dev effort on that would take away from other things we would like to do. It would also mean that we end up having two different methods of patching SQL Server (.msp and appx) which could further complicate servicing. On the other hand, WS Nano is really well suited for SQL Server due to it's higher availability (less patching), smaller attack surface area, fewer services running, etc. Those are the trade offs we are thinking through, but no concrete plans one way or another right now. Let us know what you think we should do!
This is nice, also it seems that when you license SQL Server in the future, the OS doesn't matter, if you get a 4 core license, you can install SQL Server on Linux or Windows, your choice
Installing SQL Server on Linux is really nice, here is what it looks like on redhat
sudo su
curl https://packages.microsoft.com/config/rhel/7/mssql-server.repo > /etc/yum.repos.d/mssql-server.repo
sudo yum install -y mssql-server
sudo /opt/mssql/bin/sqlservr-setup #follow the prompts
systemctl status mssql-server #verify service is running
It also makes sense to run it on a server that is bare metal, no need for IE or printer service running.
You can find R Services samples in the following links:
https://gallery.cortanaintelligence.com/Collection/ML-Templates-with-SQL-Server-R-Services-1
https://msdn.microsoft.com/en-US/library/mt591993.aspx
Additionally, we have a new website focused around easy to use "Getting Started" tutorials. There is one R sample there:
https://www.microsoft.com/en-us/sql-server/developer-get-started/r
let me add a couple more R-related articles :)
https://github.com/Microsoft/sql-server-samples/tree/master/samples/features/r-services/Implementing%20Predictive%20Analytics
and a simple blogpost I wrote some time ago just in case it helps with the 101 https://medium.com/@davidsb/datascience-for-developers-build-your-first-predictive-model-with-r-a798f684752f
Additionally, we have a new website focused around easy to use "Getting Started" tutorials. There is one R sample there:
https://www.microsoft.com/en-us/sql-server/developer-get-started/r
let me add a couple more R-related articles :)
https://github.com/Microsoft/sql-server-samples/tree/master/samples/features/r-services/Implementing%20Predictive%20Analytics
and a simple blogpost I wrote some time ago just in case it helps with the 101 https://medium.com/@davidsb/datascience-for-developers-build-your-first-predictive-model-with-r-a798f684752f
Here are a few that I like:
- Improvements in columnstore indexes and batch processing (link)
- Automatic soft NUMA for large CPU system deployments (link)
- Hardware acceleration for encryption features like TDE by leveraging Intel's AES-NI instruction set (link)
We evaluate hardware advancements periodically for SQL Server. The new Microsoft ML library that is available with SQL Server vNext uses GPU for the neural net algorithms so you may see such capabilities in other areas of the product.
This is definitely an area we are looking at. But we don't have any concrete at the moment.
I remember when postgres did this, the performance improvement was impressive, you can read about that here PG-STROM
That is all, if you want to see all the questions and answers go here: SQL Server AMA thread on reddit,
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