I'd search for "virtualbox port forwarding" (say you're using virtualbox) for details of how to set it up.
Tom On Nov 5, 2016 12:32 AM, "Guruju, Lakshmi Sravya" < [email protected]> wrote: > > Hi Tom, > > > > You are right. Port seems to be closed. When I try nmap to display open ports, I got below result. At this moment the engine is deployed but still 8000 port is not open. How can I make it open so that I can access it outside the VM. > > > > Nmap scan report for localhost (127.0.0.1) > > Not shown: 996 closed ports > > PORT STATE SERVICE > > 22/tcp open ssh > > 5432/tcp open postgresql > > 7070/tcp open realserver > > 9200/tcp open wap-wsp > > > > Regards, > > Sravya *>* *> From:* Tom Chan [mailto:[email protected]] *> Sent:* Saturday, November 5, 2016 12:25 AM > *> To:* [email protected] *> Subject:* Re: Not able to access engine after successful deployment > > > > Seems you need to set up your VM so that traffic arriving at a certain port on your host (8000 or something of your choice) is forwarded to port 8000 on your VM, then you're good to go. > > > > Tom > > > > On Fri, Nov 4, 2016 at 11:48 AM, Guruju, Lakshmi Sravya < [email protected]> wrote: >> >> Hi, >> >> >> >> It is configured to 127.0.0.1 >> >> >> >> Link encap:Local Loopback >> >> inet addr:127.0.0.1 Mask:255.0.0.0 >> >> >> >> Regards, >> >> Sravya >> >> *>>* *>> From:* Gustavo Frederico [mailto:[email protected]] *>> Sent:* Friday, November 4, 2016 6:25 PM *>> To:* [email protected] *>> Subject:* Re: Not able to access engine after successful deployment >> >> >> >> The 0.0.0.0 IP looks a bit odd. How is your loopback network interface configured? Check with ifconfig. >> >> >> >> On Fri, Nov 4, 2016 at 8:51 AM, Guruju, Lakshmi Sravya < [email protected]> wrote: >>> >>> Hi, >>> >>> >>> >>> I have setup predictionIo successfully on a linux VM. Event server is running at http://localhost:7070. >>> >>> >>> >>> I am using elasticseacrh as data storage and it is up and running at http://localhost:9200 >>> >>> >>> >>> But when I am trying to deploy Recommendation engine, deployment was successful but I am not able to access it at localhost. You can see the below trace after successful deployment. >>> >>> >>> >>> [WARN] [WorkflowUtils$] Non-empty parameters supplied to org.template.recommendation.Preparator, but its constructor does not accept any arguments. Stubbing with empty parameters. >>> >>> [WARN] [WorkflowUtils$] Non-empty parameters supplied to org.template.recommendation.Serving, but its constructor does not accept any arguments. Stubbing with empty parameters. >>> >>> [INFO] [Remoting] Starting remoting >>> >>> [INFO] [Remoting] Remoting started; listening on addresses :[akka.tcp:// [email protected]:40932] >>> >>> [WARN] [MetricsSystem] Using default name DAGScheduler for source because spark.app.id is not set. >>> >>> [INFO] [Engine] Using persisted model >>> >>> [INFO] [Engine] Custom-persisted model detected for algorithm org.template.recommendation.ALSAlgorithm >>> >>> [WARN] [ALSModel] User factor does not have a partitioner. Prediction on individual records could be slow. >>> >>> [WARN] [ALSModel] User factor is not cached. Prediction could be slow. >>> >>> [WARN] [ALSModel] Product factor does not have a partitioner. Prediction on individual records could be slow. >>> >>> [WARN] [ALSModel] Product factor is not cached. Prediction could be slow. >>> >>> [INFO] [MasterActor] Undeploying any existing engine instance at http://0.0.0.0:8000 >>> >>> [WARN] [MasterActor] Nothing at http://0.0.0.0:8000 >>> >>> [INFO] [HttpListener] Bound to /0.0.0.0:8000 >>> >>> [INFO] [MasterActor] Engine is deployed and running. Engine API is live at http://0.0.0.0:8000. >>> >>> >>> >>> >>> >>> $ curl -i -X GET "http://localhost:8000"; >>> >>> curl: (7) Failed to connect to localhost port 8000: Connection refused >>> >>> >>> >>> I have also tried with different ports but nothing worked. Could someone please help me resolve these. >>> >>> >>> >>> Regards, >>> >>> Sravya >> >> > >
