Hi everyone, I would like to start a discussion thread on "Support PyFlink Runtime Execution in Thread Mode"
We have provided PyFlink Runtime framework to support Python user-defined functions since Flink 1.10. The PyFlink Runtime framework is called Process Mode, which depends on an inter-process communication architecture based on the Apache Beam Portability framework. Although starting a dedicated process to execute Python user-defined functions could have better resource isolation, it will bring greater resource and performance overhead. In order to overcome the resource and performance problems on Process Mode, we will propose a new execution mode which executes Python user-defined functions in the same thread instead of a separate process. I have drafted the FLIP-206[1]. Please feel free to reply to this email thread. Looking forward to your feedback! Best, Xingbo [1] https://cwiki.apache.org/confluence/display/FLINK/FLIP-206%3A+Support+PyFlink+Runtime+Execution+in+Thread+Mode
