I understand the use of threads in dbt - to simultaneously run multiple models without violating dependencies. However, we heavily use custom materialisations (1 model materialises numerous tables via custom materialisations) and I’d like a dynamic way for dbt to run my 1 x custom materialisation but in multiple threads that I pass in at run time to achieve parallelism. Is this possible?
I want to do this as my custom materialisation creates numerous tables 1 by 1 at the moment. I would get some good performance gains if I can run them concurrently.
I’m currently achieving this by replicating my single model so I have 4 instances / models in dbt so that I can run them concurrently. But this means a lot of replication & manual labour.
no errors generated… just looking for a systematic way to break 1 model into several programatically so I can get some concurrency gains.