I'm attempting to configure a Linked Service within my Data Factory. In this case, it's to a MariaDB instance on Ubuntu 20.04LTS.
I'm able to establish the connection from other parts of the virtual network just fine (ex. Windows 10 VM + HeidiSQL). However, when I attempt to configure (ip, database, credentials) and test the connection, I get:
ERROR [08001] [Microsoft][MariaDB] (1004) The connection has timed out while connecting to server: ip_here at port: 3306. Activity ID: omitted.
The storage account and the data factory are using the same subscription and resource group as the Ubuntu instance. The storage account is configured for All Networks.
Edit 1
I used the generic MariaDB option to setup the linked service.
Edit 2
Found this tidbit...
" [...] Azure Data Factory Azure Integration Runtime is not inside a VNET so by default it cannot connect to your Azure SQL Database. [...] the best you can do is to whitelist the IP Ranges for Azure Data Factory Integration Runtime [...]
Edit 3
Tutorial on how to setup an integration runtime:
https://blog.nicholasrogoff.com/2018/07/03/how-to-get-azure-data-factory-connecting-to-your-data-on-a-vnet-or-internal-network/
However, seems this is only available on Windows (and I'm on Linux)?
https://learn.microsoft.com/en-us/azure/data-factory/create-self-hosted-integration-runtime?tabs=data-factory
I ended up using "Azure Database for MySQL" and was able to have the Data Factory communicate to it.
Looking at a similar ask on Microsoft Q&A Forum
Today the self-hosted Integration Runtime is only supported on Windows
machine. However, what you can do is to run self-hosted Integration
Runtime on a separate Windows machine that has network connectivity to
the Linux machine where the data files reside.
If you are flexible to use other databases, you can use for example a Azure Database for MySQL as #TekiusFanatikus has successfully used.
Related
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.
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 am working in Microsoft Azure. I have created a table in a database in postgres in linux virtual machine(vm) using shell script. Now, I have to move this created table to blob storage.
I come to know that I have to install self hosted integration run time in linux, since my data is in the vm. So is there a way to install and set up integration run time there?
I have one more question.
Since my source is postgres I create a linked service with postgres.
What would be the server name, user name and password? Will it be the vm's user name and password or the user name and password of database in postgres?
Unless
The data store is located inside an on-premises network, inside Azure Virtual Network, or inside Amazon Virtual Private Cloud.
The data store is a managed cloud data service where the access is restricted to IPs whitelisted in the firewall rules.
Then Azure Data factory can connect to Postgre SQL without a need for integration runtime.
And no you can't install this on Linux.
Even if you would manage to do it somehow it wouldn't be recommended as it wasn't built with this in mind.
I have successfully configured Self-Hosted Integration Runtime in Azure Data Factory on Azure Portal as well as Self-Hosted IR Node on my local machine and linked service connects successfully to my local sql server from Azure Portal
but when I test connection within IR connection manager on my local machine to connect to local sql server it gives me this error
can anyone help
The problem is Server name with single back slash. I copied Server name from ssms which uses
R\SQLEXPRESS
but then i checked the connection string that Self-Hosted on Azure is using to connect to on premise SQL Server it uses double back slashes
R\\SQLEXPRESS
and after changing to double back slash it works
You could refer to my working steps as below.
1.Follow this guide Create Self IR on the portal.
2.Get the Auth Key to start the ADF IR local management.
3.Fill the sql server name and database name in the Diagnostics Tag.
I have already tried to deploy SSIS using AzureVM and it's working fine for us. Just want to explore other options.
Is it possible to deploy SSIS on Azure Sql Service without using AzureVM? If yes, then provide some guidance.
How to connect local (on-premises) database (For example. Oracle) from Azure SQL using SSIS without using AzureVM?
No, this requires an Azure VM or an on premise installation of SSIS- SSIS as a Service is not an Azure offering at this time.
Azure SQL Database won't allow for Linked Servers and, elastic query may not fit your use case; It may not be possible to do from Azure SQL. However, you could try defining one data source for SQL Azure and one for your on-prem database (or even Oracle) within SSIS and run your report on the data that way. More about establishing data sources/connections.
Now you can deploy your SSIS package on Azure by creating Integration Run-time in Data factory which will create a SSISDB and under SSISDB, Integration Service Catalog will be available.
SSIS Project deployment is available as of now on Integration Service Catalog.
For more details and steps, click below link-
deploy-sql-server-integration-service-packages-to-azure-using-azure-data-factoryv2