I have pipeline need to run at every one hour.
Using tumbling window trigger.
If pipeline is successfull it should continue to run every one hour.
If pipeline fails with some reason, next instance, I mean pipline should not run for next hour.
How can we stop trigger if pipeline fails.
Currently, this feature is not available in the Azure data factory. You can raise a feature request from the Azure data factory feedback.
Alternatively, you can add a web activity in your pipeline upon the failure of the previous activity. In web activity, you can make a call to an HTTP request to Stop the trigger.
Refer to this document to Stop a trigger.
Related
I have a two trigger synapse pipelines one which is scheduled at 03 am cst , What I'm looking now is the Second pipeline should trigger after the completion of the first pipeline i.e after 03 am cst.
Is there a way i can create this dependency in the synapse. If yes please suggest.
There are 2 options:
Create an event trigger for the 2nd pipeline and add a copy file activity at the end of 1st pipeline. So whenever the 1st pipeline gets completed, it would generate a file and trigger the 2nd pipeline
Use execute pipeline activity at the end of 1st pipeline and trigger the 2nd pipeline ( you can even use web activity but there would be additional efforts for it)
Create a tumbling window trigger for both pipelines.
While creating a tumbling window trigger for the second pipeline, you can add a dependency trigger under Advance property and select pipeline1 trigger.
The second trigger runs only upon completion of the dependency trigger.
In ADF, I created a pipeline for error handling. In my flow, I want to call this pipeline if any of the activities fails. In SSIS there is an option to use OR logic to achieve that, but in ADF, all outputs are uses AND logic, How can I Achieve OR logic so I can call the error pipeline if any of the prior activities fails?
The flow in screenshot I added won't work, because all activities should fail in order the email to send
In Azure Data Factory, you cannot define any logic to connect activity to other activities, you can only add other activities upon
Success
Failure
Completion
Skipped
Here you need to add your execute pipeline activity to send error details to all the individual activities upon failure of each activity as required.
Example:
When activity fails the next activity which is connected upon success will not be executed and the pipeline stops running if no activity is added upon failure individually.
I have one scenario let say I have one ADF instance name XYZ contains one pipeline which is schedule trigger starts at 12:00 AM in night. Trigger some time ends in 1 hours and sometime it takes more than 2 hours because of data load.
I have one more ADF instance ABC in that also one pipeline I have, now my requirement is that I have to schedule the ABC instance pipeline when xyz instance trigger is completed.
Kindly help on this requirement. Both ADF have different instance & also trigger end time may vary based on load.
The simplest way is using Logic app. In Logic app designer, we can create two pipeline run steps to trigger the two pipelines in different Data Factory running.
Create a Recurrence trigger to run this logic app in a loop.
In the Azure Data Factory operations:
select Create a pipeline run Action.
The summary is here:
So we can trigger the pipeline run of the ADF instance name XYZ, and when it is completed, it will trigger the pipeline run of the ADF instance ABC.
I have a published and scheduled pipeline running at regular intervals. Some times, the pipeline may fail (for example if the datastore is offline for maintenance). Is there a way to specify the scheduled pipeline to perform a certain action if the pipeline fails for any reason? Actions could be to send me an email, try to run again in a few hours later or invoke a webhook. As it is now, I have to manually check the status of our production pipeline at regular intervals, and this is sub-optimal for obvious reasons. I could of course instruct every script in my pipeline to perform certain actions if they fail for whatever reason, but it would be cleaner and easier to specify it globally for the pipeline schedule (or the pipeline itself).
Possible sub-optimal solutions could be:
Setting up an Azure Logic App to invoke the pipeline
Setting a cron job or Azure Scheduler
Setting up a second Azure Machine Learning pipeline on a schedule that triggers the pipeline, monitors the output and performs relevant actions if errors are encountered
All the solutions above suffers from being convoluted and not very clean - surely there must exist a simple, clean solution for this problem?
This solution reads from the logs of your pipeline and let's you do something within a Logic App capability, I used it to email the team when a scheduled pipeline failed.
Steps:
Create Event Namespace and Event Hub
Create Service Bus Namespace and Service Bus Queue
Create a Stream Analytics Job using EventHub as Input and Service
Bus Queue as Output
Create Logic App with a trigger to any event coming into the Service
Bus Queue then, add an Outlook 360 send an email (v2) step
Create an Event Subscription inside ML Service that sends filtered
events to the Event Hub
Start Stream Analytics Job
Two fundamental steps while creating the Event subscription:
Subscribe to the 'Run Status Changed' event to get the log when a pipeline fails
Use the advanced filters section to specify which pipeline you want to monitor (change 'deal-UAT' to your specific ml experiment), like this:
It looks like a lot of setup but it's super easy and quick to do, it would look something like this in the end:
I need to setup an alert system if my Azure Datafactory pipeline runs for more than 20 minutes. The alert should come while the pipeline is running and the duration passes 20mins, not after the completion of pipeline. How can I do this? I think this can be done using Azure function but I am not familiar with it so I'm in search for a script for the same.
Yes, azure function is a solution to acheive your requirement.
For example, if you are using Python. You need an azure function that runs periodically to monitor the status of the pipeline. The key is the duration time of the pipeline. pipeline is based on activities. You can monitor every activity.
In Python, This is how to get the activity you want:
https://learn.microsoft.com/en-us/python/api/azure-mgmt-datafactory/azure.mgmt.datafactory.operations.activityrunsoperations?view=azure-python#query-by-pipeline-run-resource-group-name--factory-name--run-id--filter-parameters--custom-headers-none--raw-false----operation-config-
The below is to get the duration time of azure datafactory activity:
https://learn.microsoft.com/en-us/python/api/azure-mgmt-datafactory/azure.mgmt.datafactory.models.activityrun?view=azure-python#variables
(There is a variable named duration_in_ms, you can use this to get the duration time of the activity run.)
This is use Python to monitor pipeline:
https://learn.microsoft.com/en-us/azure/data-factory/monitor-programmatically#python
You can create a azure function app with a timetrigger to monitor the azure datafactory activity. This is the document of azure function timetrigger:
https://learn.microsoft.com/en-us/azure/azure-functions/functions-bindings-timer?tabs=python
The basic idea is put the code that monitor the pipeline whether run more than N minutes in the logic body of azure function timetrigger. And then use the status of the azure function to reflect whether the pipeline running time of azure datafactory exceeds N hours.
Then use the alarm event of the azure function. The alarm events supported by azure for the azure function are as follows: (You can set an output binding of your azure function.)
In azure portal, you can find the alert in this place:
(Select Email/SMS message as the action type and give it your email address.)