I have a problem in self hosted IR which is running slow.
Although i had a check on CPU and memory usage which is fine in ADF.
Please let me know to overcome the issue.
To overcome the issue you need to first identify the issue.
You can gather the self-hosted IR logs. For a self-hosted IR, you can upload logs that are related to the failed activity or all logs on the self-hosted IR node.
On the Monitor page for the service UI, select Pipeline runs.
Under Activity runs, in the Error column, select the highlighted button to display the activity logs, as shown in the following screenshot:
Select Send logs.
Later you can go through the Copy activity performance and scalability guide to improve the performance of the activity.
Related
I am trying to find the reason why azure data factory pipeline is running for long time. It may be due to n/w, database, copy actiovity or any other reason.
Is there a tool or plugin which can show all the metrics in one dashborad.
Datadog will work for this
Azure monitor is not showing all the required metrics in one dashboard.
So need a tool for this
I'm trying to copy data, using the copy activity in a synapse-pipeline, from a self hosted integration runtime rest api call to a azure data lake gen2. Using preview I can see the data from the rest api call but when I try to do the copy activity it is queued endlessly. Any idea why this happens? The Source is working with a self hosted integration Runtime and the Sink with azure integration runtime. Could this be the problem? Otherwise both connections are tested and working...
Edit: When trying the the web call, it tells me it's processing for a long time but I know I can connect to the rest api source since when using the preview feature in the copy activity it shows me the response....
Running the diagnostic tool, I receive the following error:
It seems to be a problem with the certificate. Any ideas?
Integration runtime
If you use a Self-hosted Integration Runtime (IR) and copy activity waits long in the queue until the IR has available resource to execute, suggest scaling out/up your IR.
If you use an Azure Integration Runtime that is in a not optimal region resulting in slow read/write, suggest configuring to use an IR in another region.
You can also try performance tuning tips
how do i scale up the IR?
Scale Considerations
I’m trying to implement a pipeline in ADF where I copy data from a Function App to an on-prem SQL Server. I have installed the Self-Hosted Integration Runtime to access the on-prem database and set my copy activity to use the self-hosted IR.
First I was a getting a firewall error, so I added a rule to allow the node where IR is installed to call the function app but now I am getting a timeout error.
Any ideas why the timeout?
Please check the General parameters of the copy activity. Try to Increase Timeout of your copy activity. By default it is 7 days.
Also, try to increase the retry count in the copy activity. The default is zero (no retry). Increasing the count and retry interval should allow it to attempt to regain connection.
Please refer this Microsoft Documentation: Troubleshoot copy activity on Self-hosted IR
I have installed azure monitoring agent on my on prem windows server but i am not getting ram and cpu utilization on log Analytics dashboard .I have researched on it but didnt find any solution ?
is it good to install azure monitoring agent on on prem production servers .Thanks
You can collect performance data source with log analytics agent. For this you need to configure Performance Counters as it works with Azure monitor.
Below is the workflow screenshot of it;
Below are few steps to configure it in Azure portal:
Add Performance Counter
Input the necessary details like instance counter
Setup the interval, by default it will be as 10 seconds.
Apply the changes when you are done.
The above mentioned steps are for Windows Performance Counters.
For more insights you can check for Microsoft Documentation for the same
I am running few Data Pipelines in Azure Data Factory and its using Azure Integration Runtime for the compute.
I am trying to Monitor the CPU/Memory Usage Pipelines Consume and Utilise Azure IR.
I have checked in the Azure Monitor but the CPU / Memory Metrics are for Self Hosted Integration Runtime I think.
Also, with the Diagnostic Setting Enabled, I tried to verify the details in the Logs too but these details are not available.
Can anyone help to know more options?
If you are referring to the Azure AutoResolveIntegrationRuntime, then no there is not, and this is why (from https://www.cathrinewilhelmsen.net/integration-runtimes-azure-data-factory/)
Microsoft has massive elastic pools across the various locations/regions they offer Azure, and at runtime ADF determines what pool/hardware it will use to perform the Pipeline activities. So there is really no way (and no need) to monitor the Azure Autoresolve IR. But if you are interested in monitoring Self-Hosted IR's then there are many ways to do it.
One simple and straight forward way to do it is by creating Azure Dashboards in the Metrics portion of Azure Monitor. As you can see from the screenshot below it provides good visual representation of usage/resources over time.
As you can see I'm visualizing the integration Runtime itself (CPU/Memory) as well as the Azure VM that is hosting the Integration Runtime. On top of this you can go into the Metrics dashboard to set up alerts if certain conditions are met (eg AVG CPU % usage is over 75% for the last 15 minutes). These alerts can send you a text message, or email... and even do things as complicated as triggering a LogicApp or WebHook for automated scaling up/out, advanced notifications, etc.
This in my opinion is the best way to monitor but another option could be to call the Azure Data Factory REST API to get monitor data for the Integration Runtimes
POST https://management.azure.com/subscriptions/{subscriptionId}/resourceGroups/{resourceGroupName}/providers/Microsoft.DataFactory/factories/{factoryName}/integrationRuntimes/{integrationRuntimeName}/monitoringData?api-version=2018-06-01
But this method would require you to incrementally pull in data, store it, parse it, and then visualize it or act upon it when that is already very well built in for you. Sometimes it's fun to recreate wheels though.
Yes It is possible to Monitor Azure Integration Runtime.
"Pipeline Runs" in Monitoring has the option to check the CPU Utilization specific to pipeline, Integration Runtime and more specific filters. You can find here, how its done.