{"action":"created","issue":{"url":"https://api.github.com/repos/andypetrella/spark-notebook/issues/200","labels_url":"https://api.github.com/repos/andypetrella/spark-notebook/issues/200/labels{/name}","comments_url":"https://api.github.com/repos/andypetrella/spark-notebook/issues/200/comments","events_url":"https://api.github.com/repos/andypetrella/spark-notebook/issues/200/events","html_url":"https://github.com/andypetrella/spark-notebook/issues/200","id":85403792,"number":200,"title":"DataFrame Renderer","user":{"login":"EronWright","id":1775518,"avatar_url":"https://avatars.githubusercontent.com/u/1775518?v=3","gravatar_id":"","url":"https://api.github.com/users/EronWright","html_url":"https://github.com/EronWright","followers_url":"https://api.github.com/users/EronWright/followers","following_url":"https://api.github.com/users/EronWright/following{/other_user}","gists_url":"https://api.github.com/users/EronWright/gists{/gist_id}","starred_url":"https://api.github.com/users/EronWright/starred{/owner}{/repo}","subscriptions_url":"https://api.github.com/users/EronWright/subscriptions","organizations_url":"https://api.github.com/users/EronWright/orgs","repos_url":"https://api.github.com/users/EronWright/repos","events_url":"https://api.github.com/users/EronWright/events{/privacy}","received_events_url":"https://api.github.com/users/EronWright/received_events","type":"User","site_admin":false},"labels":[],"state":"open","locked":false,"assignee":null,"milestone":null,"comments":3,"created_at":"2015-06-05T03:32:15Z","updated_at":"2015-06-06T00:06:28Z","closed_at":null,"body":"The DataFrame (formerly known as SchemaRDD) is a new core abstraction in Spark.    Major subsystems such as Spark SQL and the new Spark ML are based on DataFrames.   DataFrames are column-oriented, schematized tables.\r\n\r\nA table-like renderer should be provided, resembling the output from DataFrame::show().  Ideally the table would be paged and capable of lazily exploring the entire contents of the DataFrame.   "},"comment":{"url":"https://api.github.com/repos/andypetrella/spark-notebook/issues/comments/109486589","html_url":"https://github.com/andypetrella/spark-notebook/issues/200#issuecomment-109486589","issue_url":"https://api.github.com/repos/andypetrella/spark-notebook/issues/200","id":109486589,"user":{"login":"EronWright","id":1775518,"avatar_url":"https://avatars.githubusercontent.com/u/1775518?v=3","gravatar_id":"","url":"https://api.github.com/users/EronWright","html_url":"https://github.com/EronWright","followers_url":"https://api.github.com/users/EronWright/followers","following_url":"https://api.github.com/users/EronWright/following{/other_user}","gists_url":"https://api.github.com/users/EronWright/gists{/gist_id}","starred_url":"https://api.github.com/users/EronWright/starred{/owner}{/repo}","subscriptions_url":"https://api.github.com/users/EronWright/subscriptions","organizations_url":"https://api.github.com/users/EronWright/orgs","repos_url":"https://api.github.com/users/EronWright/repos","events_url":"https://api.github.com/users/EronWright/events{/privacy}","received_events_url":"https://api.github.com/users/EronWright/received_events","type":"User","site_admin":false},"created_at":"2015-06-06T00:06:28Z","updated_at":"2015-06-06T00:06:28Z","body":"Feeling ambitious?  Another feature here would be to support custom cell renderers.    Maybe the renderer would be selected based on the UDT or based on column attributes."}}