In Azure, I have a virtual.network ( .NET
) with following settings:
Address space: 10.200.0.0/20
subnet: 10.200.0.0/24
Inside the above .NET, I am trying to deploy an Azure Databricks
with the following Network
settings:
Public Subnet CIDR Range: 10.200.15.0/20
Private Subnet CIDR Range: 10.200.15.1/24
But on the Private Su.net CIDR Range
above I get the following error:
Public and private su.net ranges must be valid and non-conflicting
Question : What I may be doing wrong, and how can I resolve the above error?
Remarks :
10.200.15.1/24
(eg 10.200.15.0/24, 10.200.15.255/24 etc.) but I keep getting the same error. I am sure there must be a correct Private Su.net CIDR Range
that I am not using.UPDATE I'm following this tutorial from Azure team. When I tried the following settings, I get the error shown below:
The CIDR tool I like to use is https://www.ipaddressguide.com/cidr .
Your public su.net 10.200.15.0/20 has a starting IP of 10.200.0.0 and ends with 10.200.15.255.
Your private su.net 10.200.15.1/24 is not even valid. You can check this SO answer as to why that is.
Change the private su.net to 10.200.14.0/24. Keep the public su.net as is. These are not overlapping and completely valid. 10.200.16.0/24 is outside the ip range of your .net, so you can't use that.
I tried to reproduce the same in my environment to create Azure Databricks Workspace with existing .net:
I have created Azure Databricks workspace with existing Virtual Network .
In your deployment you have mentioned public su.net CIDR range: 10.200.15.0/20 is in same .net Adress space range: 10.200.0.0/20 , so there is a possibility of conflict the.network.
To resolve the issue, create different su.net range for both Public and Private CIDR , while you are creating the Azure Databricks workspace.
I created a virtual.network , like below.
Created Azure Databricks workspace. like below.
Check the Azure Databricks IP address range, like below.
Go to Azure Databricks workspace > Select your Cluster > Select Spark UI > Executors
Refer the Document more about Azure Databricks workspace
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