Introduction
Are you a pipeline developer working with SAP Data Intelligence? Is your custom Python operator the bottleneck of the overall pipeline execution? And you are you searching for more possibilities to parallelise the execution of pipeline ...
In this article I would like to provide you with a step by step guide on how to make your custom python operator's configurations even more flexible by allowing the enduser to dynamically configure your operator. Therefore they will use placeholders ...
I have a new account and did not receive your question.
I hope you found an answer in the meantime.
Pricing is only based on the infrastructure cost. So actually it doesn't matter how many pods you are starting. However: Infrastructure only scales ...
I have a new account and did not receive your question.
I hope you figured out the answer already, but you can simply pass the api object as an input to the workers for debugging.
Best Regards
Marcel
Hi Bibek,
sure let me guide you through.
First of all thanks for your comment. The correct naming of the python 0 byte files is "__init__.py".
The reason why the parallel_fun2 is not invoked is probably because your multi.py file is in the wrong l...
Yes, currently only the first option is SAP Data Intelligence native and the others can also be established with other tools using Python code. However, there are also some standard operators which do expose configurations to make use of multi-proces...
