can two different transform maps with two different data sources run at the same time in servicenow

lrossy31
Tera Expert

Hello everyone,

 

I just have a question in regards to transform maps. Can two different transform maps with two different data sources run at the same time in ServiceNow? I have a pretty good amount of data from two sources that will be mapped to two different tables independently. Want to make sure they done collide.


Thanks.

2 REPLIES 2

Sai Shravan
Mega Sage

Hi @lrossy31 ,

 

Yes, it is possible to run multiple transform maps in ServiceNow at the same time, even if they have different data sources and are mapping to different tables. The platform is designed to handle multiple concurrent processes, and each transform map runs independently of the others. However, it is important to ensure that there is no overlap in the data that is being mapped to prevent any collisions or data loss. You can also set the priority of the transform maps to control the order in which they run. Additionally, you can use the 'Run Now' and 'Run Schedule' options to schedule the transform maps to run at different times or intervals to avoid any collision.

Regards,
Shravan
Please mark this as helpful and correct answer, if this helps you

Anshu_Anand_
Kilo Sage
Kilo Sage

@lrossy31 

 

Yes, multiple transform maps can run simultaneously in ServiceNow even if they have different data sources. Transform maps are executed independently and do not interfere with each other unless they are accessing the same target table.

In ServiceNow, each transform map has a unique sys_id and runs in its own separate context, so you can have multiple transform maps running at the same time, mapping data from different sources to different target tables.

However, it's important to keep in mind that the execution of transform maps can impact the performance of your ServiceNow instance, especially if the data sources are large or if multiple transform maps are running at the same time. To ensure that your instance runs smoothly, consider scheduling the transform maps during off-peak hours or setting appropriate priority levels for each transform map.

 

Hope its helpful

Regards,
Anshu