{"action":"created","issue":{"url":"https://api.github.com/repos/apache/spark/issues/13104","repository_url":"https://api.github.com/repos/apache/spark","labels_url":"https://api.github.com/repos/apache/spark/issues/13104/labels{/name}","comments_url":"https://api.github.com/repos/apache/spark/issues/13104/comments","events_url":"https://api.github.com/repos/apache/spark/issues/13104/events","html_url":"https://github.com/apache/spark/pull/13104","id":154778202,"number":13104,"title":"Fix reading of partitioned format=text datasets","user":{"login":"jurriaan","id":345809,"avatar_url":"https://avatars.githubusercontent.com/u/345809?v=3","gravatar_id":"","url":"https://api.github.com/users/jurriaan","html_url":"https://github.com/jurriaan","followers_url":"https://api.github.com/users/jurriaan/followers","following_url":"https://api.github.com/users/jurriaan/following{/other_user}","gists_url":"https://api.github.com/users/jurriaan/gists{/gist_id}","starred_url":"https://api.github.com/users/jurriaan/starred{/owner}{/repo}","subscriptions_url":"https://api.github.com/users/jurriaan/subscriptions","organizations_url":"https://api.github.com/users/jurriaan/orgs","repos_url":"https://api.github.com/users/jurriaan/repos","events_url":"https://api.github.com/users/jurriaan/events{/privacy}","received_events_url":"https://api.github.com/users/jurriaan/received_events","type":"User","site_admin":false},"labels":[],"state":"open","locked":false,"assignee":null,"milestone":null,"comments":4,"created_at":"2016-05-13T18:55:37Z","updated_at":"2016-05-13T21:34:57Z","closed_at":null,"pull_request":{"url":"https://api.github.com/repos/apache/spark/pulls/13104","html_url":"https://github.com/apache/spark/pull/13104","diff_url":"https://github.com/apache/spark/pull/13104.diff","patch_url":"https://github.com/apache/spark/pull/13104.patch"},"body":"I was using partitioned text datasets in Spark 1.6.1 but it broke in Spark 2.0.0.\r\n\r\nIt would be logical if you could also write those,\r\nbut not entirely sure how to solve this with the new DataSet implementation.\r\n\r\nAlso it doesn't work using `sqlContext.read.text`, since that method returns a `DataSet[String]`"},"comment":{"url":"https://api.github.com/repos/apache/spark/issues/comments/219165088","html_url":"https://github.com/apache/spark/pull/13104#issuecomment-219165088","issue_url":"https://api.github.com/repos/apache/spark/issues/13104","id":219165088,"user":{"login":"AmplabJenkins","id":4031291,"avatar_url":"https://avatars.githubusercontent.com/u/4031291?v=3","gravatar_id":"","url":"https://api.github.com/users/AmplabJenkins","html_url":"https://github.com/AmplabJenkins","followers_url":"https://api.github.com/users/AmplabJenkins/followers","following_url":"https://api.github.com/users/AmplabJenkins/following{/other_user}","gists_url":"https://api.github.com/users/AmplabJenkins/gists{/gist_id}","starred_url":"https://api.github.com/users/AmplabJenkins/starred{/owner}{/repo}","subscriptions_url":"https://api.github.com/users/AmplabJenkins/subscriptions","organizations_url":"https://api.github.com/users/AmplabJenkins/orgs","repos_url":"https://api.github.com/users/AmplabJenkins/repos","events_url":"https://api.github.com/users/AmplabJenkins/events{/privacy}","received_events_url":"https://api.github.com/users/AmplabJenkins/received_events","type":"User","site_admin":false},"created_at":"2016-05-13T21:34:57Z","updated_at":"2016-05-13T21:34:57Z","body":"Test PASSed.\nRefer to this link for build results (access rights to CI server needed): \nhttps://amplab.cs.berkeley.edu/jenkins//job/SparkPullRequestBuilder/58591/\nTest PASSed."}}