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]<mailto:[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]<mailto:[email protected]>] Sent: Friday, November 4, 2016 6:25 PM To: [email protected]<mailto:[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]<mailto:[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<http://[email protected]:40932>] [WARN] [MetricsSystem] Using default name DAGScheduler for source because spark.app.id<http://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<http://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
