Pause Devoted SQL Swimming pools With Azure Synapse Pipelines


One of many principal goal of any enterprise that’s utilizing cloud companies is to optimize assets and decrease the on-going prices. A lot of the organizations do want entry to the info warehouse layer around the clock and they are going to be utilizing reporting dashboards to view the knowledge. In such eventualities, it’s best to pause the devoted SQL pool and resume it when essential.

Now we are able to automate Pausing and Resuming the synapse devoted swimming pools to save lots of cloud prices. We are going to demo this with a real-time instance and we’re going to use pipelines in azure synapse to carry out this.

For this automated pause/resume demo, we’re going to take easy train with easy steps. In actuality you can’t have one measurement matches all strategy therefore you must modify based mostly in your requirement.

Under are the steps we’re going to comply with,

  1. Making a pipeline.
  2. Organising parameters within the pipeline.
  3. Record out the devoted swimming pools from the synapse workspace
  4. Iterate into every devoted SQL pool and…
    • Verify the state of the devoted SQL pool.
    • Consider the state of the devoted SQL pool.
    • Pause or resume the devoted SQL pool.


Open the azure synapse studio and create a brand new pipeline from Combine tab. I’ve named it as Pause or Resume SQL Pool for straightforward understanding.

Create a parameter enabled pipeline within the subsequent step. Parameterized pipeline will assist us to create reusable and generic pipeline which can be utilized throughout a number of subscriptions, useful resource teams and even devoted SQL swimming pools. There might be ‘Parameters’ tab on the backside of the canvas, go forward and click on ‘+’ so as to add every parameters. On this demo, I’m utilizing the next parameters as I had acknowledged earlier it’s one’s selection based mostly on their requirement to switch them.

Title Description
ResourceGroup Title of the useful resource group to your devoted SQL swimming pools
SubscriptionID Subscription ID to your useful resource group
WorkspaceName Title of your workspace
SQLPoolName Title of your devoted SQL pool
PauseorResume The state to be on the finish of the pipeline run
WaitSec Wait time in seconds for the pipeline to complete
WaitSecRetry Wait time in seconds for the retry course of

All of the parameters are of ‘String’ kind besides the 2 wait time fields that are laid out in seconds.

Till Exercise

A synapse SQL pool could be in a number of states particularly Pausing, Resuming, Scaling, Paused, On-line. In an effort to change the standing the SQL pool must be both in Paused or On-line state therefore we have to use the Till exercise to start out the pipeline. The Till exercise begins a set of actions collectively in a loop till the situation of the exercise yields true and we are able to validate the standing of the SQL Pool and wait till it’s became Paused or On-line state.

Internet Exercise

Contained in the Till exercise we now have to create a Internet exercise which can then be used to name a customized REST API endpoint from synapse information pipeline.


We’ve to interchange the above URL with the pipeline parameters that we created earlier much like the beneath URL.{pipeline().parameters.SubscriptionID}/resourceGroups

Technique: GET

Useful resource:

Now transfer on to Till exercise which we created earlier. We have to add the beneath expression which can examine if the standing is both paused or on-line.

Expression: @or(bool(startswith(exercise(‘PoolStatusCheck‘).Output.Properties.Standing,’Paused’)), bool(startswith(exercise(‘PoolStatusCheck‘).Output.Properties.Standing, ‘On-line’)))

Timeout: 0:00:20:00

Because the exercise can solely proceed when the above Internet exercise is Paused or On-line we’re including a wait exercise in order that the Internet exercise doesn’t have to executed each time.

Wait Exercise

Wait exercise as title specifies waits for a time frame earlier than persevering with with execution of subsequent actions. Contained in the wait exercise we have to add expression from the parameters for wait time in seconds.


I’ve used the above parameter in add dynamic content material, you may modify as per the parameter you could have named in your train.

Now to examine if the SQL Pool is paused or operating, we should always add an If situation exercise and insert the next expression which can mainly examine if the SQL Pool is paused or not.


In our demo we need to pause the SQL pool therefore we now have so as to add an net exercise for pausing to False, if in case the SQL pool is already paused we don’t motion something (True).

Use the next URL settings for the net exercise, as already mentioned modify the parameters to fit your train. Will probably be much like the one we noticed earlier besides we’re including ‘Motion’ choice within the parameters.{pipeline().parameters.SubscriptionID}/resourceGroups/

Use the next within the ‘settings’ tab of the net exercise.

Technique: Publish

Header: {“Nothing”:”Nothing”}

Useful resource:

Subsequent step is so as to add wait exercise with the ‘WaitSec’ parameter we created at first. The primary perform of this exercise is to set a wait interval earlier than we begin the info exercise to verify the SQL pool is on-line.


Now we are able to go forward and run the pipeline to pause the SQL pool. Once you attempt to execute you may be seeing the next parameter display by means of which you’ll be able to change the values relying upon your requirement and reuse the identical pipeline a number of occasions.

Resume Pipeline

Resuming the SQL pool may be very easy in comparison with all of the steps we ready above. It’s a must to simply Clone the pipeline and alter the ‘PauseorResume’ parameter to ‘On-line’ and Contained in the IF situation change each the net exercise Pause SQL pool and Wait exercise from false to true.


On this article, we noticed real-time demo of pause a devoted SQL pool in azure synapse and the way these parameters and even the entire pipeline could be cloned and reused for varied swimming pools, useful resource teams and even totally different environments. Hope this may have given an instance on how synapse pipelines could be utilized in a short time and effectively.


Microsoft azure synapse analytics official documentation

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