Setup SQL Server instance on Linux on Docker

This blog post talks about the setup of a SQL server instance on a Linux machine running on Docker. The versions of the softwares used are mentioned below:

Docker: Community Edition Version 17.06.1-ce-mac24 (18950)
OS of machine running Docker: MacOS Sierra 10.12.6

SQL serverMicrosoft SQL Server 2017 (RC2) - 14.0.900.75 (X64) 
                  Developer Edition (64-bit) on Linux (Ubuntu 16.04.2 LTS)
DBeaverCommunity Edition 4.2.5


Steps taken for this setup were as follows:

(1) 
Pull and run the container image. Pull the SQL Server 2017 Linux container image from Docker Hub.
(a) Launch Terminal application and type the below command: 

sudo docker pull microsoft/mssql-server-linux:2017-latest
(b) To run the container image with Docker, you can use the following command from a bash shell (Linux/macOS):

192-168-1-8:~ ashwi$ docker run -e 'ACCEPT_EULA=Y' -e 'MSSQL_SA_PASSWORD=xxxxxx' -e 'MSSQL_PID=Developer' --cap-add SYS_PTRACE -ti -p 1401:1433 microsoft/mssql-server-linux
(c) View the docker processes to confirm that the SQL server instance is running: 









(d) Get the container ID of the SQL server (similar to the SQL server instance name):




(e) Sample queries to get list of databases and existing connections on the SQL server instance:




All of the above queries were executed on Terminal application on MacOS.

However, as many of the users/administrators on SQL server are used to work on GUI. Hence, I decided to use DBeaver tool to connect to the SQL server instance.

Once the tool is installed on MacOs, we need to create a New Connection using the configuration and information similar to below:

I have created a test database "testdb", same properties can be used for any database (master or anyone you want)


All the DDL (CREATE/DROP/ALTER etc. ) and DML(SELECT/INSERT/UPDATE/DELETE) statements can be executed using the DBeaver tool, just like the Native SSMS.




Reference links:
https://docs.microsoft.com/en-us/sql/linux/quickstart-install-connect-docker
https://dbeaver.jkiss.org/download/




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