how to run process asynchronously with tm1py?

[fxmenard]

Describe what did you try to do with TM1py
I have a big number of processes to run on a TM1 instance. I want to launch these processes asynchronously to execute them in parallel.

Describe what's not working the way you expect
In TurboIntegrator I would use RunProcess rather than ExecuteProcess. In tm1py it seems it is the same method processes.execute_with_return, but passing parameter "return_async_id=True". Unfortunately, the processes keep running one after the other. Any idea??

Version

• TM1py [e.g. 1.11.3]
• TM1 Server Version: [e.g. 11.4]

Additional context
Code chunk:

with open( 'myCsvFileWith40000Lines', newline='') as csvfile:
                paramReader = csv.reader(csvfile, delimiter=',', quotechar='"')
                for param in paramReader:
                    logging.info( f"running {param}" )
                    sTM1Server.processes.execute_with_return(
                        process_name=param[0],
                        return_async_id=True,
                        dim1=param[2],
                        dim2=param[4],
                        dim3=param[6],
                        dim4=param[8],
                        pValue=float( param[10] )
                    )

[MariusWirtz]

Have you considered using RushTI?
https://github.com/cubewise-code/rushti

[fxmenard]

Hello Marius,
Thanks for the quick reply. I will try to use RushTI, hadn't noticed its existence. It's a bit less convenient for me than using a library for this, but it should do the trick. looks like there are quite a few useful options such as the number of parallel threads allowed for a given execution.