{"action":"opened","issue":{"url":"https://api.github.com/repos/h2oai/sparkling-water/issues/960","repository_url":"https://api.github.com/repos/h2oai/sparkling-water","labels_url":"https://api.github.com/repos/h2oai/sparkling-water/issues/960/labels{/name}","comments_url":"https://api.github.com/repos/h2oai/sparkling-water/issues/960/comments","events_url":"https://api.github.com/repos/h2oai/sparkling-water/issues/960/events","html_url":"https://github.com/h2oai/sparkling-water/issues/960","id":366382724,"node_id":"MDU6SXNzdWUzNjYzODI3MjQ=","number":960,"title":"Could not create spark connection using rsparkling","user":{"login":"ravirajuv","id":35996663,"node_id":"MDQ6VXNlcjM1OTk2NjYz","avatar_url":"https://avatars3.githubusercontent.com/u/35996663?v=4","gravatar_id":"","url":"https://api.github.com/users/ravirajuv","html_url":"https://github.com/ravirajuv","followers_url":"https://api.github.com/users/ravirajuv/followers","following_url":"https://api.github.com/users/ravirajuv/following{/other_user}","gists_url":"https://api.github.com/users/ravirajuv/gists{/gist_id}","starred_url":"https://api.github.com/users/ravirajuv/starred{/owner}{/repo}","subscriptions_url":"https://api.github.com/users/ravirajuv/subscriptions","organizations_url":"https://api.github.com/users/ravirajuv/orgs","repos_url":"https://api.github.com/users/ravirajuv/repos","events_url":"https://api.github.com/users/ravirajuv/events{/privacy}","received_events_url":"https://api.github.com/users/ravirajuv/received_events","type":"User","site_admin":false},"labels":[],"state":"open","locked":false,"assignee":null,"assignees":[],"milestone":null,"comments":0,"created_at":"2018-10-03T14:57:37Z","updated_at":"2018-10-03T14:57:37Z","closed_at":null,"author_association":"NONE","body":"Providing us with the observed and expected behavior definitely helps. Giving us with the following information definitively helps:\r\n\r\n- Sparkling Water/PySparkling/RSparkling version\r\n- Hadoop Version & Distribution\r\n- Execution mode `YARN-client`, `YARN-cluster`, standalone, local ..\r\n- YARN logs in case of running on yarn. To collect such a logs you may run `yarn logs -applicationId <application ID>` where the application ID is displayed when Sparkling Water is started\r\n- H2O & Spark logs if not running on YARN. You can find these logs in Spark work directory\r\n- Are you using Windows/Linux/MAC?\r\n- Spark & Sparkling Water configuration including the memory configuration\r\n\r\nPlease also provide us with the full and minimal reproducible code.\r\n"}}
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