How to update python code in memory

Hi In example I submited python code to cluster: in/spark-submit --master spark://nn1:7077 SocketListen.py Now I discovered that I have to change something in SocketListen.py. One way is stop older work and submit new one. Is there way to change code in workers machines so that there no need to

Re: How to update python code in memory

Short answer is No. On Wed, Sep 16, 2015 at 4:06 AM, Margus Roo wrote: > Hi > > In example I submited python code to cluster: > in/spark-submit --master spark://nn1:7077 SocketListen.py > Now I discovered that I have to change something in SocketListen.py. > One way is stop older