What do you see if you do the same call on port 7070 (and 9200)? curl -i -X GET "http://localhost:7070";
Tom On Fri, Nov 4, 2016 at 5:55 AM, Gustavo Frederico < [email protected]> wrote: > 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 >> > >
