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Amazon RDS - Configuring a Connection to a SQL Server Instance

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Introduction

In a previous article, we explored the factors worth considering when deploying a database in the public cloud. We also created a SQL Server RDS instance on Amazon Web Services. In this article we shall demonstrate how to connect to this new instance using a client tool – dbForge Studio. Our client tool will sit outside AWS console and we can assume that the workstation we are using is “on-prem”. The main parameters we need to establish a connection to our database instance are:

  1. Endpoint – AWS defines this as the representation of the data required to connect to an Amazon RDS instance
  2. Master Username – this translates to a SQL Server login principal in essence
  3. Master Password – Password for the initial login

Connecting to an Amazon RDS Database

Figure 1 shows how to provide these details to a client tool. In this example, we are using dBForge studio. The case of SQL Server Management Studio is quite similar.

Login to Amazon RDS Instance using dbForge Studio Figure 1: Setting Up a Connection to an Amazon RDS Instance (SQL Server)

Password Reset

As a small digression, you can easily recover this Master Password in it is not available as login as you have access to the AWS console. The recovery requires modifying the SQL Server RDS instance. Navigate to RDS > Databases > [instance name] to modify the instance of interest (See Figures 2, 3 and 4).

Graphical user interface of Amazon RDS Figure 2: Amazon RDS Dashboard

 

Amazon RDS Instance Figure 3: ArticleDB Amazon RDS Instance

 

Modify the Database Instance on Amazon RDS Figure 4: Modify the Database Instance

The settings shown in Figure 5 are the configuration options for your RDS instance. This means you can change the password here simply by typing in the new desired password and saving the configuration.

RDS Instance Settings Figure 5: RDS Instance Settings

 

First Connection Attempt

Once we have these three parameters, we can attempt the connection. We make out first connection attempt (See Figure 6) but we get an error indicating that the client is unable to open a connection to the SQL Server instance. To overcome this, we must make a couple of configuration changes on AWS to allow our connection.

Could Not Open a Connection to SQL Server on Amazon RDS Figure 6: Could Not Open a Connection to SQL Server

To allow inbound connections to our RDS instance in AWS, we must take two steps.

  1. Allow our public IP address through the Security Group
  2. Enable Public Accessibility for the database instance

Configuring the Security Group for an Amazon RDS Instance

On the AWS Console, search for the VPC Dashboard and click Security Groups.

VPC Dashboard – Security Groups in Focus Figure 7: VPC Dashboard – Security Groups in Focus

Our database security group is called DBSecGrp. We must modify this Security Group to allow access to our IP Address.

DBSecGrp Security Group Figure 8: DBSecGrp Security Group

 

When we select the Security Group of interest, the description, rules and tags of the Security Group are displayed (See Figure 8). We navigate to the Inbound Rules sections and add a line that allows our IP address. Click edit inbound rules.

DBSecGrp Security Group Details on Amazon RDS Figure 9: DBSecGrp Security Group Details

Click add rule (See Figure 10). This introduces a new line. One question on your mind might be where we got the IP Address 41.210.16.236. This is a public IP address associated with the Internet Service Provider used by the “on-prem” computer where the configuration is being done from. You cannot use a private IP address for this configuration (for example the IP address on your computer’s NIC). One can get this address by simply visiting https://whatismyipaddress.com/ from the computer being used for the configuration.

In the case of an enterprise, you will have a more definite IP address based on how the connection to your cloud service provider is achieved. If you are accessing the CSP over the internet as well, you are also light to be giving access to the IP address of the device (router, firewall etc.) that allows your organization access the internet. Once we are ready, we save the rules.

Save Inbound Rules Figure 10: Save Inbound Rules

Comparing NACLs and Security Groups

However, we still get Error 40 when we attempt the connection again (See Figure 11). There is more to be done. There is a temptation to think that we have to do something about Network Access Control Lists (NACL) but this is not the case.

Second Failed Connection Attempt Figure 11: Second Failed Connection Attempt

 

VPC Dashboard – Network ACLs in Focus Figure 12: VPC Dashboard – Network ACLs in Focus

 

Network ACL rules already allow inbound access at the network layer as can be seen in the configuration for this VPC (See Figure 13). You might be wondering what the difference between a Security Group (virtual firewall) and Network Access Control List (ACL) is and why we need both. This is a potential examination question in AWS ad is summarized in Figure 14.

Network ACL Rules Figure 13: Network ACL Rules

 

Table Description - difference between Security Groups and Network ACLs Figure 14: Comparison of Security Groups and Network ACLs

 

Configuring Public Accessibility for an Amazon RDS Instance

What we must do is configure the database to be publicly accessible from the RDS dashboard. We once again navigate to RDS > Databases > articledb as shown in Figures 15, 16 and 17.

Graphical user interface Figure 15: Amazon RDS Dashboard

 

Graphical user interface - Amazon RDS Database Figure 16: ArticleDB Instance

 

Click the modify button and scroll down to the Connectivity section (Figure 17). Here is where we select the Publicly Accessible option after expanding Additional Configuration (See Figures 18 and 19).

Graphical user interface Figure 17: Article DB Configuration

 

Figure 18: Connectivity Section

 

Graphical user interface, text, applicationDescription automatically generated Figure 19: Additional Configuration

 

Once the options are selected, we then select the option of modifying the database instance immediately. In a production environment it will be more appropriate to schedule this restart outside work hours. This is especially because the change might take a bit of time to apply (See Figures 20 and 21).

Figure 20: Apply Window

 

Figure 21: Modifying DB Instance

 

Retrying the Client Connection Using dbForge

Once the change is applied and the database becomes available again, we re-attempt the connection, This time it is successful (Figure 22).

Successful connection to SQL Server Amazon RDS instance Figure 22: Successful Connection

Using our client tool, dbForge Studio, we shall go ahead and login to explore the instance further (See Figure 23). We can also create an additional user database in the instance (See Figure 23, 24 and 25). Notice the rdsadmin database which is an AWS proprietary database used to store objects for managing the Amazon RDS instance.

Figure 23: Query Default Databases in the Instance Figure 23: Query Default Databases in the Instance

 

rdsadmin Database Figure 24: rdsadmin Database

 

Create new database in Amazon RDS Figure 25: Create NewDB

Further exploring the environment, we query the sys.master_files table and discover that all database files appear to be on the same volume (See Figure 26). Since what we have deployed is an RDS instance, this underlying infrastructure does not matter to us and we do not have access to it anyway.

Conclusion

In this article we have demonstrated the two essential configurations necessary to allow access to an Amazon RDS instance. Connecting directly to Amazon RDS instance is not always required but when it is, the data engineer now knows exactly what to do on AWS to make this happen. We also explored the instance using Devart’s dbForge Studio, a complete IDE which offers such interesting features as advanced intellisense, T-SQL Formatting, Execution History, T-SQL Analysis and more. We also viewed briefly the rdsadmin database from AWS and how datafiles are stored by default in Amazon RDS instances.

 

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