cancel
Showing results forย 
Search instead forย 
Did you mean:ย 
Data Engineering
Join discussions on data engineering best practices, architectures, and optimization strategies within the Databricks Community. Exchange insights and solutions with fellow data engineers.
cancel
Showing results forย 
Search instead forย 
Did you mean:ย 

DLT Pipeline Retries

kfoster
Contributor

Is there a way to limit how many retries DLT Pipelines run when in "Production" mode? What is the key value pair I use in the configuration?

1 ACCEPTED SOLUTION

Accepted Solutions

Cedric
Databricks Employee
Databricks Employee

Hi @Kristian Fosterโ€‹,

Yes. We have two spark configuration that can be set. pipelines.numStreamRetryAttempts and pipelines.numUpdateRetryAttempts. The former configures how many times we retry each flow before failing the update. The latter configures how many times we retry the entire pipeline before marking it as a fatally failed.

View solution in original post

4 REPLIES 4

Cedric
Databricks Employee
Databricks Employee

Hi @Kristian Fosterโ€‹,

Yes. We have two spark configuration that can be set. pipelines.numStreamRetryAttempts and pipelines.numUpdateRetryAttempts. The former configures how many times we retry each flow before failing the update. The latter configures how many times we retry the entire pipeline before marking it as a fatally failed.

Thanks @Cedric Law Hing Pingโ€‹ , that is what I was looking for in docs. Is there a doc you can share that lists all the options? Just so I can bookmark for future reference?

Cedric
Databricks Employee
Databricks Employee

Hi @Kristian Fosterโ€‹,

Glad to help you out! I haven't seen this anywhere in the docs either specifically regarding this. I'll ask the docs team. Meanwhile, please feel free to bookmark https://docs.databricks.com/workflows/delta-live-tables/index.html as it contains the latest information regarding DLT.

Thanks @Cedric Law Hing Pingโ€‹ , it would be nice if they could update the docs with that information. Thanks again.

Connect with Databricks Users in Your Area

Join a Regional User Group to connect with local Databricks users. Events will be happening in your city, and you wonโ€™t want to miss the chance to attend and share knowledge.

If there isnโ€™t a group near you, start one and help create a community that brings people together.

Request a New Group