I have a Synapse pipeline with 10 notebooks executed in sequence. These notebooks take various parameters, some of which are common to all or a few of the notebooks. Rather than define the value of these parameters for each notebook (which is repetitive) I wonder can I define them once at the pipeline level and pass them into each notebook that uses them?
So far I tried defining one of the parameters at the pipeline level myparam with a default value and then in the notebook parameters I reference the pipeline parameter as #pipeline().parameter.myparam which I thought would take the default value defined at the pipeline level - but it doesn't. Is what I'm trying to do even possible? Thanks in advance.
Yes, you can pass parameters to multiple notebooks in a Synapse pipeline.
As per this official document,
You can use parameters to pass external values into pipelines,
datasets, linked services, and data flows. Once the parameter has been
passed into the resource, it cannot be changed. By parameterizing
resources, you can reuse them with different values each time.
Parameters can be used individually or as a part of expressions. JSON
values in the definition can be literal or expressions that are
evaluated at runtime.
Below are some referred Parameters example which might help you.
Related
I have a folder of pipelines, and I want to execute the pipelines inside the folder using a single pipeline. There will be times when there will be another pipeline added to the folder, so creating a pipeline filled with Execute Pipelines is not an option (well, it is the current method, but it's not very "automate-y" and adding another Execute Pipeline whenever a new pipeline is added is, as you can imagine, a pain). I thought of the ForEach Activity, but I don't know what the approach is.
I have not tried this approach but I think we can use the
ADF RestAPI to get all the details of the pipelines which needs to be executed. Since the response is in JSON you can write it back to temp blob and add filter and focus on what you need .
https://learn.microsoft.com/en-us/rest/api/datafactory/pipelines/list-by-factory?tabs=HTTP
You can use the Create RUN API to trigger the pipeline .
https://learn.microsoft.com/en-us/rest/api/datafactory/pipelines/create-run?tabs=HTTP
As Joel called out , if different pipeline has different count of paramter , it will be little messy to maintain .
Folders are really just organizational structures for the code assets that describe pipelines (same for Datasets and Data Flows), they have no real substance or purpose inside the executing environment. This is why pipeline names have to be globally unique rather than unique to their containing folder.
Another problem you are going to face is that the "Execute Pipeline" activity is not very dynamic. The pipeline name has to be known as design time, and while parameter values are dynamic, the parameter names are not. For these reasons, you can't have a foreach loop that dynamically executes child pipelines.
If I were tackling this problem, it would be through an external pipeline management system that you would have to build yourself. This is not trivial, and in your case would have additional challenges because of the folder level focus.
I have a drone file containing multiple pipelines that run in a sequence via dependancies.
In the first pipeline a value is generated that I would like to store as a variable and use in one of the other pipelines.
How would I go about doing this? I’ve seen that variables can be passed between steps via a file but this isn’t possible with pipelines from what i’ve seen and tried.
Thanks
The way my ADF setup currently works, is that I have multiple pipelines, each containing atleast one activity. Then I have one big pipeline that sort of chains these pipelines together.
However, now in the big "master" pipeline, I would like to use the output of an activity from one pipeline and then pass it to another pipeline. All of this orchestrated from the "master" pipeline.
My "master" pipeline would look something like this:
What I have tried to do is adding a parameter to "Execute Pipeline2", and I have tried passing:
#activity('Execute Pipeline1').output.pipeline.runId.output.runOutput
#activity('Execute Pipeline1').output.pipelineRunId.output.runOutput
#activity('Execute Pipeline1').output.runOutput
How would one go about doing this?
unfortunately we don't have a way to pass the output of an activity across pipelines. Right now pipelines don't have outputs (only activities).
We have a workitem that will allow a user to choose what should be the output for a pipeline (imagine a pipeline with 40 activities, user would be able to choose the output of activity 3 as pipeline output). However, this workitem is in very early stages so don't expect to see this soon.
For now, the only way would be to save the output that you want in storage (blob, for example) and then read it and pass it to the other pipeline. Another method could be a web activity that gets the pipeline run (passing run id) and you get the output using ADF SDK or REST API, and then you pass that to the next Execute Pipeline activity.
This question is regarding Spinnaker. Within each Pipeline, you have the ability to define custom parameters. When a Pipeline is triggered, you have the ability to use the default value, or supply a new value to those parameters.
I assume I can create Stages within that Pipeline that will use the value of the parameters, when the Pipeline is triggered. However, I can't figure out how to access these values in any Stage of the Pipeline.
For example, I have a Pipeline "Test". I create a parameter "Version", in the configuration for "Test".
Creating a parameter
Then, I add a Pipeline Stage to execute a Jenkins job. The job I have selected has a parameter, "Version".
Using a parameter's value
When the Pipeline "Test" is triggered, I want it to use the value of the Pipeline parameter "Version" and supply it to the Jenkins job. I tried the following syntax for the Jenkins job's Version field: $Version, {{Version}}, #Version, ((Version)), (Version), {Version}, #Version, and more. Nothing seems to translate into the value of the Pipeline parameter "Version", when the Pipeline is triggered. How do I do this?
On a related note, is there a way to use the Application name or Pipeline name in Pipeline Stages?
Parameters (and templated pipelines in general) are accessed via Spring Expression Language.
If your pipeline has a Version parameter and your Jenkins stage has a Version parameter, then in the Jenkins stage configuration you explicitly have to map the pipeline's Version to the Jenkins stage's Version using a value ${parameters.Version}.
Any pipeline parameter is accessible via the ${parameters.XXX} syntax.
Have a look at the pipeline expressions guide for more examples.
My team at work is currently looking for a replacement for a rather expensive ETL tool that, at this point, we are using as a glorified scheduler. Any of the integrations offered by the ETL tool we have improved using our own python code, so I really just need its scheduling ability. One option we are looking at is Data Pipeline, which I am currently piloting.
My problem is thus: imagine we have two datasets to load - products and sales. Each of these datasets requires a number of steps to load (get source data, call a python script to transform, load to Redshift). However, product needs to be loaded before sales runs, as we need product cost, etc to calculate margin. Is it possible to have a "master" pipeline in Data Pipeline that calls products first, waits for its successful completion, and then calls sales? If so, how? I'm open to other product suggestions as well if Data Pipeline is not well-suited to this type of workflow. Appreciate the help
I think I can relate to this use case. Any how, Data Pipeline does not do this kind of dependency management on its own. It however can be simulated using file preconditions.
In this example, your child pipelines may depend on a file being present (as a precondition) before starting. A Master pipeline would create trigger files based on some logic executed in its activities. A child pipeline may create other trigger files that will start a subsequent pipeline downstream.
Another solution is to use Simple Workflow product . That has the features you are looking for - but would need custom coding using the Flow SDK.
This is a basic use case of datapipeline and should definitely be possible. You can use their graphical pipeline editor for creating this pipeline. Breaking down the problem:
There are are two datasets:
Product
Sales
Steps to load these datasets:
Get source data: Say from S3. For this, use S3DataNode
Call a python script to transform: Use ShellCommandActivity with staging. Data Pipeline does data staging implicitly for S3DataNodes attached to ShellCommandActivity. You can use them using special env variables provided: Details
Load output to Redshift: Use RedshiftDatabase
You will need to do add above components for each of the dataset you need to work with (product and sales in this case). For easy management, you can run these on an EC2 Instance.
Condition: 'product' needs to be loaded before 'sales' runs
Add dependsOn relationship. Add this field on ShellCommandActivity of Sales that refers to ShellCommandActivity of Product. See dependsOn field in documentation. It says: 'One or more references to other Activities that must reach the FINISHED state before this activity will start'.
Tip: In most cases, you would not want your next day execution to start while previous day execution is still active aka RUNNING. To avoid such a scenario, use 'maxActiveInstances' field and set it to '1'.