1. SQL Server 2017 on Containers
Chris Kramer
SQL Server 2017 on Containers

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6. About Me
Senior SQL Server DBA at Digi-Key Electronics Working with SQL Server since 2009 NDSU Bachelor of Science C.S. - (Go Bison!) Hobbies: Video Games, Golf, Motorcycles, Curling, Football Volunteering: PASSMN Board Member, FIRST Robotics team mentor LinkedIn:

7. Containers Who here has heard of containers?
How many of you are using containers with in your organizations?

8. Containers History/Background
March 2013 – Soloman Hykes announces what becomes known as the Docker open source project
Containers provide new lightweight way of separating workloads avoiding the typical overhead of virtual machines.
Developers begin leveraging this new technology into new software deployment processes

9. What are Containers?
Lightweight, stand-alone, executable package of a piece of software that includes everything needed to run it: code, runtime, system tools, system libraries, & settings
Available for both Linux and Windows based apps, containerized software will always run the same regardless of environment
Containers isolate software from its surroundings
So from this we can start to see that a Container, while similar to a virtual machine idea, builds upon the idea and makes a more profound impact on Application builds and deployments.
Source:

10. Docker Growth Source: https://www.docker.com/what-container
The launch of Docker in 2013 jump started a revolution in app development - by bringing software containers to the masses. In just a few years, Docker has transformed the industry with a new lexicon, framework and standards in app development, packaging and management.
Source:

11. Containers vs. Virtual Machines
Containers and virtual machines have similar resource isolation and allocation benefits, but function differently because containers virtualize the operating system instead of hardware, containers are more portable and efficient.
Containers: Containers are an abstraction at the app layer that packages code and dependencies together. Multiple containers can run on the same machine and share the OS kernel with other containers, each running as isolated processes in user space. Containers take up less space than VMs (container images are typically tens of MBs in size), and start almost instantly.
Virtual Machines: Virtual machines (VMs) are an abstraction of physical hardware turning one server into many servers. The hypervisor allows multiple VMs to run on a single machine. Each VM includes a full copy of an operating system, one or more apps, necessary binaries and libraries - taking up tens of GBs. VMs can also be slow to boot.
Source:

12. Containers and VMs together
Containers and VMs used together provide a great deal of flexibility in deploying and managing apps.
Source:

13. Comparison

14. Running SQL Server 2017 on Containers
Subject to Change

15. SQL Server 2017 Key features (for this talk )
It’s official, we have SQL Server on Linux supported!
Docker Enterprise, Kubernetes, and OpenShift are officially supported container platforms for running SQL Server
We can also run containers on Windows Server/Windows 10

16. Docker Commands (CMD line/PowerShell/BASH)
docker ps : List containers
docker images : List images
docker pull : Pull an image/repository from a registry
docker push : Push an image/repository from a registry
docker create : Create a new container
docker build : Build an image from Dockerfile
docker run : Run a command in a new container
docker start : Start one or more stopped containers
docker stop : Stop one or more running containers
docker kill : Kill one or more running containers

17. Getting Started Prerequisites: Minimum 4GB disk space and 4GB RAM
Docker Engine 1.8+ on any supported Linux Distro for Mac/Windows
Increase Docker memory to 4GB
Gotchas:
Watch out for Virus scan software blocking Docker
Corporate Proxies 
Have to logout after initial Docker install and then restart to enable Hyper-V

18. Getting Started (continued)
Run Command:
docker pull microsoft/mssql-server-linux:2017-latest

19. Getting Started (continued)
PowerShell/CMD:
docker run
-e "ACCEPT_EULA=Y“
-e "MSSQL_SA_PASSWORD=SQLSatMN2018"
-e "MSSQL_PID=Developer"
-p 1433:1433
--name sql2018 -d
mcr.microsoft.com/mssql/server:2017-latest-ubuntu
BASH:
-e 'ACCEPT_EULA=Y'
-e 'MSSQL_SA_PASSWORD=SQLSatMN2018'
-e 'MSSQL_PID=Developer'
Difference is single quotes for Linux/Mac BASH versus double quotes for Windows Command/PowerShell

20. Parameters Explained
Parameter -e ‘ACCEPT_EULA=Y’ -e -e 'MSSQL_PID=Developer‘ -p 1433: name sql2018 -d mcr.microsoft.com/mssql/server:2017-latest-ubuntu
Description
Lawyers
Set SA password
Specifies the edition/product key
Maps Host TCP port to Container TCP port
Specify custom container name (optional)
Runs container in detached mode
SQL Server Linux container image

21. Is it Running? Run Command: docker ps

22. Yay! Now what? Connect to your container SQLCMD SSMS
Now it’s just like the SQL Server you’re used to.

23. Using SSMS (use . or localhost for local container)

24. Are we really running a SQL Server Linux container on a Linux VM on Windows?
Sure are.

25. Aren’t containers meant to be disposable?
Yes they are. But we can map persistent storage into them to store the data we care about as DBAs.
I’m still doing research in this area so I figured I would just scratch the surface

26. Demo Time

27. Docker Compose

28. Docker Compose
1. Define the app environment [Dockerfile] 2. Define the services that make up your app [docker-compose.yml] 3. Run ‘docker-compose up’
Using Compose is basically a three-step process:
1. Define your app’s environment with a Dockerfile so it can be reproduced anywhere.
2. Define the services that make up your app in docker-compose.yml so they can be run together in an isolated environment.
3. Run docker-compose up and Compose starts and runs your entire app.

29. Dockerfile Example
Docker can build images automatically by reading the instructions from a Dockerfile. A Dockerfile is a text document that contains all the commands a user could call on the command line to assemble an image. Using docker build users can create an automated build that executes several command-line instructions in succession.
The docker build command builds an image from a Dockerfile and a context. The build’s context is the set of files at a specified location PATH or URL. The PATH is a directory on your local filesystem. The URL is a Git repository location.
A context is processed recursively. So, a PATH includes any subdirectories and the URL includes the repository and its submodules. This example shows a build command that uses the current directory as context:

30. docker-compose.yml YAML: YAML Ain't Markup Language
.yml or .yaml file extension

31. Kubernetes

32. Kubernetes History
Founded by engineers from google in mid 2014 Google partnered with the Linux Foundation to form the Cloud Native Computing Foundation (CNCF) and offered Kubernetes as a seed technology along with the 1.0 release on July 21, 2015

33. Kubernetes Architecture
Kubernetes Master
Manages workload and communication in the cluster
Kubernetes Nodes
Worker Nodes where workloads are deployed.

34. Pods Definitely NOT the Tide Pod Challenge
A Pod is the basic building block of Kubernetes–the smallest and simplest unit in the Kubernetes object model that you create or deploy. A Pod represents a running process on your cluster.

35. Deployments
A Deployment controller provides declarative updates for Pods and ReplicaSets.

37. Kubernetes

38. Demo Time

39. What have we gained? Faster Development/Testing Faster Patching Cycles
Repeatability
Future Thinking….
Scalable/Elastic SQL Server similar to Azure SQL Database
Fast Upgrades/Downgrades

40. Questions???
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