SQL Server: Step by Step ... from 0 to SQL Server 2019 for Linux

Hi Guys,


Welcome in the month of december!

...and what's better than finishing this year learning how to install SQL Server 2019 for linux

Today i will show you how to do it  from zero and step by step! Starting from installing Vmplayer, Ubuntu e finally SQL Server.

It is a sort of part one becuase i do it in order to do some test on SQL Server for Linux.

Are you ready for this 0 to SQL Server for linux?? Let's go!

 

Installing VMware player

First of all we need to download a virtualization software. I use VMware workstation player because i powerfull and easy to use. Here you can find offers

The player version is free and you can download the last version (16.2.1) here

Just do a double click on the exe file:

Press the Next button:

Then accept the terms in the Licence Agreement and press Next:

VMware workstation player installation

Now change the path in case using the change button and press the Next button

VMware workstation player installation choose path

Press Next button:

VMware workstation player installation check for update

Press Next button again:

VMware workstation player installation

Since  I have a previous version the caption of the button is "Upgrade" instead of "Install":

Press the button:

VMware workstation player installation

 the installation (or update) begins:

VMware workstation player installation

After one of two minutes (on my notebook) the installation ends

VMware workstation player restart setup finisched

 One last reboot:

VMware workstation player restart

let's run the VM player!

Choose the free version for a non-commercial use (or enter the licence..)

VMware workstation player enter licence

Et voilà ... press finish!

VMware workstation player

You are ready to use you virtualization software.

Now you can install your favorite OS on it

Now, we will install the linux based ubuntu distribuition.


Installing Ubuntu 20.04 Lts

Fist of all we will install the 20.04 version of Ubuntu because the latest one (21.10) does not support SQL Server 2019.

First of all download the image of ubuntu:


 Then start the VM player and from the File menu choose the New Virtual Machine item


The installation is really simple also because VMware recognizes the operating system it contains from the image.

Now choose the "Installer disc image file (iso)" item, click on the Browse button and go to get the downloaded iso file.


Note the label that says that the operative system (OS) has been detected.

In this case the installation procedure is simplified!

Just enter, in addition to the description of the machine, Username and Password: 

Super Easy!

 

Here you can choose the location of the virtual machine. Just click on the Browse button to change the default value:


By default a size of 20 GB are allocated for the VM. You can change this value.

Here a summary of infos.

Click on the Customize Hardware of modify the configuration. 

You can set number of processors, quantity of RAM and many other parameters:

At the end our VM will be started.

Again super easy!

And now the SQL Server 2019 for linux installation! Let's go! 


Installing SQL Server 2019 for Linux

Also in this case the installation steps are few and you will see, simple.

what you need to know about linux to install programs? well, actually a little

Open the terminal and write commands from the command line (like in the old days of microsoft DOS)

To open the terminal just press the button at the bottom left.

Then write inside the green box what are you looking for. So type "Terminal"


Now type the first command


wget -qO- https://packages.microsoft.com/keys/microsoft.asc | sudo apt-key add -

The password of the super user will be asked.

If everything is correct, OK will be returned


then type this command to download SQL Server 2019:


sudo add-apt-repository "$(wget -qO- https://packages.microsoft.com/config/ubuntu/20.04/mssql-server-2019.list)"

then type:


sudo apt-get update

then type this command in orderto install SQL Server


sudo apt-get install -y mssql-server

 

Now SQL Server is installed. 

Esecute the following command for execute the configuration:


sudo /opt/mssql/bin/mssql-conf setup

You can choose wich version use ( I suggest the free developer edition ) and you need to set a password:


SQL server 2019 is now ready to work.

Just type the command below to test if the service is running


systemctl status mssql-server --no-pager

yes... the green label "active" tells us that SQL Server is running


What are we missing now? 

Well since there is no management studio (SSMS) for linux, at least the command line toos must be installed to interact with SQL Server.

The next post we will see how to install it but above all we will do a benchmark and a comparison between SQL Server on windows and on Linux!
Who will be the fastest?

 

That's all for this midweek post! Stay tuned for the next one!

Luca



 

 

 

 

Affiliated with VMWARE take a look to the special offers

 

Next post:

Previous post: SQL Server, how to improve privacy (and be more gdpr complaiant) at no cost with the "dynamic data masking" feature





Comments

Post a Comment

I Post più popolari

SQL Server, execution plan and the lazy spool (clearly explained)

Image
Hi Guys, Welcome back! In one of the last posts we talked about Table Spool . We had explained what Spool are for by telling the somewhat curious story of the halloween problem . Here we specifically talked about a type of spool called Eager Spool   You can look to the execution plan below where the eager Spool is used to avoid the halloween problem in classic query of the "salary increase".. i suggest Well, if the story of the eager spool intrigued you, today instead we will speak about another type of Spool, the Lazy Spool . The Lazy spool Let's take a small step back. So, what is a Spool operation?  As we have already understood a spool operation is simply a temporary storage of data . Data are read from a source table and stored inside a worktable in the Tempdb database . While an Eager Spool is used to prevent the Halloween problem, the Lazy Spool is instead used to store data that will later be needed again when running a query . So, when a Lazy spool is used?    I
Read more

SQL Server, datetime vs. datetime2

Image
Hi guys, This time, in this post we will speak about datetime and datetime2 datatypes. We will talk about the pros and cons. We will talk about all the differences between the two types of data. Write me in the comments which type of data do you prefer between the two. Enjoy the reading!     Datetime Vs. Datetime2 First of all, it must be said that the datatype datetime is certainly the best known native format for storing a date in SQL Server. However, Microsoft has also been introducing a new type of data for many years now, also used to manage dates. It is in fact from SQL server 2008 that it is present in datetime2 data type. This "new" type of data was born primarily to have higher accuracy . Let's in fact talk about ... precision ! Datetime Certainly the datetime data type is not very precise and certainly there are many cases in which its precision is simply not sufficient. Let's see it with an example. Open the SQL Management studio (SSMS) and write the fo
Read more

La clausola NOLOCK. Approfondiamo e facciamo chiarezza!

Image
Ehi ragazzi! La domanda è di quelle importanti! Siete pronti per scoprire tutto ma proprio tutto sulla clausola NOLOCK?   Se la riposta è si, allora seguitemi! Oggi ne spiegheremo il funzionamento in maniera approfondita. Faremo una introduzione al concetto di tipi di LOCK Ed infine vedremo come mai una SELECT ne può bloccare un'altra. Non vi nascondo che il motivo di questo articolo è fare chiarezza. Su questo argomento si sentono spesso affermazioni “curiose” ma tra le tante questa è la prima: “ uso la SELECT con l’opzione WITH(LOCK) così non blocco le altre tabelle ”.   Ma, è proprio vero quanto affermato? Beh oggi facciamo il punto!   Buona lettura!     La clausola NOLOCK Diciamo subito per iniziare che cos’è la NOLOCK. NOLOCK è il nome di una clausola che è possibile specificare all’interno di uno statement di tipo SELECT utilizzando la seguente sintassi: SELECT * FROM TABELLA WITH (NOLOCK) Si noti che non possiamo utilizzare questa cl
Read more