Hi Noelia, Why don’t you try to identify the process by “ps -ef |grep 8000” then simply kill it?
Phong De : Noelia Osés Fernández [mailto:no...@vicomtech.org] Envoyé : jeudi 14 décembre 2017 15:56 À : u...@predictionio.incubator.apache.org Objet : Error: "unable to undeploy" Hi, The first time after reboot that I train and deploy my PIO app everything works well. However, if I then retrain and deploy again, I get the following error: [INFO] [MasterActor] Undeploying any existing engine instance at http://0.0.0.0:8000 [ERROR] [MasterActor] Another process might be occupying 0.0.0.0:8000<http://0.0.0.0:8000>. Unable to undeploy. [ERROR] [TcpListener] Bind failed for TCP channel on endpoint [/0.0.0.0:8000<http://0.0.0.0:8000>] [WARN] [HttpListener] Bind to /0.0.0.0:8000<http://0.0.0.0:8000> failed [ERROR] [MasterActor] Bind failed. Retrying... (2 more trial(s)) [WARN] [HttpListener] Bind to /0.0.0.0:8000<http://0.0.0.0:8000> failed [ERROR] [TcpListener] Bind failed for TCP channel on endpoint [/0.0.0.0:8000<http://0.0.0.0:8000>] [ERROR] [MasterActor] Bind failed. Retrying... (1 more trial(s)) [ERROR] [TcpListener] Bind failed for TCP channel on endpoint [/0.0.0.0:8000<http://0.0.0.0:8000>] [WARN] [HttpListener] Bind to /0.0.0.0:8000<http://0.0.0.0:8000> failed [ERROR] [MasterActor] Bind failed. Retrying... (0 more trial(s)) [ERROR] [TcpListener] Bind failed for TCP channel on endpoint [/0.0.0.0:8000<http://0.0.0.0:8000>] [WARN] [HttpListener] Bind to /0.0.0.0:8000<http://0.0.0.0:8000> failed [ERROR] [MasterActor] Bind failed. Shutting down. I thought it was possible to retrain an app that was running and then deploy again. Is this not possible? How can I kill the running instance? I've tried the trick in handmade's integration test but it doesn't work: deploy_pid=`jps -lm | grep "onsole deploy" | cut -f 1 -d ' '` echo "Killing the deployed test PredictionServer" kill "$deploy_pid" I still get the same error after doing this. Any help is much appreciated. Best regards, Noelia This message contains information that may be privileged or confidential and is the property of the Capgemini Group. It is intended only for the person to whom it is addressed. If you are not the intended recipient, you are not authorized to read, print, retain, copy, disseminate, distribute, or use this message or any part thereof. If you receive this message in error, please notify the sender immediately and delete all copies of this message.