We have an on-premises MS-SQL Server where all the data is stored, which is also a backend for an application. From this on-premises server, we would like to copy data to Azure Data Lake using Data Factory service. This would require installation of Azure self-hosted integration runtime on application backend server.
Is there any other way, like, to create a standalone server for IR installation and use this IR for data copy activity from application backend to Data Lake?
I dont see a problem with that, you dont have to install it on the same server. Point number 3 talks about this:
The self-hosted integration runtime doesn't need to be on the same
machine as the data source. However, having the self-hosted
integration runtime close to the data source reduces the time for the
self-hosted integration runtime to connect to the data source. We
recommend that you install the self-hosted integration runtime on a
machine that differs from the one that hosts the on-premises data
source. When the self-hosted integration runtime and data source are
on different machines, the self-hosted integration runtime doesn't
compete with the data source for resources.
https://learn.microsoft.com/en-us/azure/data-factory/create-self-hosted-integration-runtime#considerations-for-using-a-self-hosted-ir
Install IR on the on-premise machine and then configure it using Launch Configuration Manager. Doesn't need to be on the same machine as the data source. Details can be found here.
Related
Is it possible to transfer files from remote file server to Azure Data Lake using Azure Data Factory.
As per my knowledge self-hosted IR would be helpful but i'm not sure where to configure the IR machine.
Help me guys if you have any idea.
Install IR on your remote server where you are getting the files from.
Follow the prerequisites provide in this official document to configure Self-hosted IR.
You can also refer Considerations for using a self-hosted IR document for more information on using Self-hosted IR.
I am trying to create a scheduled nightly SSIS package that does the following:
Execute an Azure app insights query
Dump the data into an on-prem database server
Is there a way to do this directly in SSIS? I have already installed the Azure Feature Pack for Integration Services (SSIS). I see a bunch of connection managers like AzureSubscription, AzureStorage, etc.
I have a linked service from Azure data factory to onprem SQL server.
The linked service is using a Self-Hosted IR.
Why on earth do I need an Azure-SSIS Proxy to connect to the SSIS? What am I gaining??
Why can't it use the Self-Hosted IR?
The communication is working, but I just need to understand why.
THanks
If data movement uses Data Factory copy activity, it does not need Azure SSIS integration runtime.
If data movement logic is inside SSIS package, and uses Execute SSIS package activity, it needs Azure SSIS integration runtime, and self-hosted IR as proxy.
IN Azure Data Factory, is it possible to use one Integration Run time to connect two different On-Premise data sources?
Scenario:
I have created one self hosted Integration Runtime installed in Virtual Machine for DB2 Database which is On-Premise DB.
I wanted to add one more On-Premises DB which is SQL Server.
Is it possible to use the existing Self Hosted Integration Runtime for SQL Server On Prem DB?
I have tried connecting to existing Self Hosted Integration Runtime in Linked Service. The test connection is getting failed.
I know, some where access privileges required for SQL Server DB either from VM or from the SQL Server to make the connectivity possible via existing Integration Runtime.
Connectivity to SQL Server DB is getting failed, while I use the existing IR, which is already used for DB2.
Yes, you can.
You can find this in this document Considerations for using a self-hosted IR:
A single self-hosted integration runtime can be used for multiple on-premises data sources. A single self-hosted integration runtime can be shared with another data factory within the same Azure Active Directory tenant. For more information, see Sharing a self-hosted integration runtime.
When you want add a another on premise DB, you can try like this:
New link service:
Add another on premise DB:
Hope this helps.
Yes you can reuse self-hosted IR.
Probably issue with connectivity lies somewhere else.
You can test this by logging into that VM via RDP and running tests either with SSMS to test connectivity or run simple PowerShell command to test network
Test-NetConnection "<server_address>" -port 1433
Yes, you can. Note that adding more nodes as part of self-hosted IR (integration runtime) is part of highly available and making sure that there is no SPOF (single point of failure) with one on-premise data gateway.
This is no relation with the number of on-premise data sources which can be connected from services launched in Azure.
I have Installed Microsoft Integration Runtime configuration Manager When I have Migrated Data from On-Premise SQL Server to Azure Data Lake and when I'm trying to use for another Azure Data Factory I don't find a space to add new key for the data factory. How to do it.
Thanks in Advance
On the machine where your Integration Runtime is installed, you should have a file named:
C:\Program Files\Microsoft Integration Runtime\3.0\PowerShellScript\RegisterIntegrationRuntime.ps1
Running it with your domain\username as your $credential and your Key1 from ADF as your $gatewayKey will result in a re-registration, binding your local IR process to the IR identity in your new Data Factory.
Source: https://github.com/MicrosoftDocs/azure-docs/issues/7956
I cannot comment on Casper Lehmann's post, but I wanted to say that I tried running the script on PowerShell core (version 7.2.4) and it didn't work; however, in regular PowerShell (included in Windows) it works. Just FYI.
You can reuse an existing self-hosted integration runtime infrastructure that you already set up in a data factory. This enables you to create a linked self-hosted integration runtime in a different data factory by referencing an existing self-hosted IR (shared).
To share a self-hosted integration runtime by using PowerShell, see Create a shared self-hosted integration runtime in Azure Data Factory with PowerShell.
For a twelve-minute introduction and demonstration of this feature, watch the following video: Hybrid data movement across multiple Azure Data Factories.
For more details, refer "Sharing the self-hosted integration runtime with multiple data factories".