I'm using azure data factory for some migration project. while doing it I came a cross with some clarification. I just want to know if I keep a pipeline in ADF without using it will there be a cost for that? I need to run some pipelines according to a schedule like weekly or monthly. Please help
Yes: $0.80 / month / inactive pipeline. According to Data Pipeline Pricing, under the heading Inactive pipelines,
A pipeline is considered inactive if it has no associated trigger or any runs within the month. An inactive pipeline is charged at $0.80 per month.
I just want to know if I keep a pipeline in ADF without using it will
there be a cost for that?
Quick answer is NO. Based on ADF pricing document,the billing consists of Data pipelines and SQL Server Integration Services.
Your account only need to pay when you execute your activities(in the pipelines). Or it is related to migration of SQL Server DB.
Related
Problem
Due to internal requirements, I need to run a Synapse pipeline and then trigger an ADF pipeline. It does not seem that there is a Microsoft-approved method of doing this. The pipelines run infrequently (every week or month) and the ADF pipeline must run after the Synapse pipeline.
Options
It seems that other answers pose several options:
Azure Functions. Create an Azure function that calls the CreatePipelineRun function on the ADF pipeline. At the end of the Synapse pipeline, insert a block that calls the Azure function.
Use the REST API and Web Activity. Use the REST API to make a call to run the ADF pipeline. Insert a Web Activity block at the end of the Synapse pipeline to make the API call.
Tables and polling. Insert a record into a table in a managed database with data about the Synapse pipeline run. Have regular polling from the ADF pipeline to check for new records and run when ready.
Storage Event. Create a timestamped blob file at the end of the Synapse run. Use the "storage event trigger" within ADF to trigger the ADF pipeline.
Question
Which of these would be closest to the "approved" option? Are there any clear disadvantages to any of these?
As you mentioned, there is no "approved" solution for this problem. All the approaches you mentioned have pros and cons and should work. For me, Option #3 has been very successful. We have built a Queue Manager based on Tables & Stored Procedures in Azure SQL. We use Logic Apps to process the Triggers which can be Scheduled, Blob Events, or REST calls. Those Logic Apps insert jobs in the Queue table via Stored Procedure. That Stored Procedure can be called directly by virtually any system, so your Synapse pipeline could insert a Queue job to execute the ADF pipeline. Other benefits include a log of all the pipeline runs, support for multiple Data Factories (and now Synapse Workspaces), and a web interface we wrapped around the database for management and tracking.
We have 2 other Logic Apps that process the Queue (a Status manager and an Executor). These run constantly (every 1 minute and every 3 minutes). The actions to check status and create pipeline runs are both implemented as .NET Azure Functions [you'll need different SDKs for Synapse vs. ADF]. This system runs thousands of pipelines a month, sometimes more, across numerous Data Factories and Synapse Workspaces.
The PROs here are many, but this disconnected approach permits facets of your system to operate in isolation. And it is flexible, in that you can tie virtually any system into the Queue. Your example of a pipeline that needs to execute another pipeline in a different system is a perfect example.
The CON here is that this is the most involved approach. If this is a on-off problem you are trying to solve, choose one of the other options.
I have a self integration runtime configured in a virtual machine on azure, because I need access on-premise database to load some information and this database can be accessed only throught VPN connection.
Is there a way to on/off the virtual machine when loading process is going to run (once a week) in order to optimize cost in the cloud ? because it not makes sense to me leave a vm billing at idle times.
Thank you
Updated:
We can create Azure runbook, add PowerShell code to turn on/off the VM and call it in ADFv2 using Webhook according to this post.
Create a trigger that runs a pipeline on a schedule. When creating a schedule trigger, you specify a schedule (start date, recurrence, end date etc.) for the trigger, and associate with a pipeline.
At the start of the pipeline, you can use WebHook activity to start the vm, then copy data, at the end stop the vm. As follows:
If you're looking to build data pipelines in Azure Data Factory, your cost will be split into two categories:
Data Factory Operations
Pipeline Orchestration and Execution
Data Factory Operations
Read/Write: Every time you create/edit/delete a pipeline activity or a Data Factory entity such as a dataset, linked service, integration runtime or trigger, it counts towards your Data Factory Operations cost. These are billed at $0.50 per 50,000 operations.
Monitoring: You can monitor each pipeline run and view the status for each individual activity. For each pipeline run, you can expect to retrieve one record for the pipeline and one record for each activity or trigger. For instance, you would be charged for 3 Monitoring activities if you debug a pipeline containing 2 activities. Monitoring activities are charged at $0.25 per 50,000 run records retrieved.
Pipeline Orchestration
Self Hosted
Every time you run a pipeline, you are charged for every activity and trigger inside that pipeline that is executed at a rate of $1.50 per 1000 Activity runs.
As an example, executing a pipeline with a trigger and two activities would be charged as 3 Activity runs.
Pipeline Execution
Self hosted
Data movement : $0.10/hour
Pipeline activities : $0.002/hour
External activities : $0.0001/hour
An inactive pipeline is charged at $0.80 per month.
Summary:
When there are 30 days in a month and if your pipeline starts to run on a certain day and continues to run for 10 hours to move data. It will charge according to 10hx$0.10/h = $1. Pipelines that are inactive for an entire month are billed at the applicable "inactive pipeline" rate for the month as 29days/30days x $0.80 = $0.80. So your total cost is $1.8.
Is there anyway I can get an scheduled report from Azure to show all the SQL Databases we look after that are above a certain Pricing Tier?
I think you should use budgets:
https://learn.microsoft.com/en-us/azure/cost-management-billing/costs/tutorial-acm-create-budgets
This object will track current spending on your resources then you can add alert rule which will trigger proper action when criteria defined by you will be meet.
We are setting up a data factory to help with our global failover scenario. The Pipeline copies data from our SQL server located on premise into Azure Table Storage.
We are using Data Factory V2 and have set up the CI/CD pipeline as described in the ADF documentation.
Therefore, our dev and test instances only copy data from the Sql to one region, but our production needs to copy data to multiple regions. My thought to simplify things would be to have one Factory per region that will only copy data to that region (so that production and dev can share the exact same pipelines).
However, this will mean that we will have multiple pipelines and all of them will have a rather low usage. There are only 3 activities that run once a day, so we will only have 90 activities per month. Looking at the data factory pricing, you are charged for every 1,000 activities.
My question is, since each of these factories will have less than 1,000 activities, will we be charged the minimum of $1.50 for each factory or will the pricing just charge us once since all of them together will still be less than 1,000 activities?
Great question! The pricing is calculated per Data Factory instance and not per pipeline. You can have as many pipelines in a single Data Factory instance. You will be charged based on the number of activity runs within a Data Factory instance.
In your case, since you are planning on having multiple Data Factory instances, you will be billed multiple times. Eg- If you have 3 data factories(may or may not be across different regions) and each ADF has 90 activity runs a month, you will be charged 3x$1.5 = $4.5.
For an accurate estimation of pricing, please refer :
https://azure.microsoft.com/en-in/pricing/calculator/
Hope this helps!
I have a time consuming custom activity running in a Azure data factory pipeline.
It copies files from Blob to FTP server recursively.
The entire activity take 3-4 hours based on the number of files in the folder.
But when I am running the pipeline, it shows in progress 0%.
How update pipeline progress from custom activity?
In short, I doubt you will be able to. The services are very discounted from each other.
You might be better off writing out to the Azure generic activity log and monitoring directly from the custom activity method. This is an assumption though.
Hope this helps.