{"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":"[SPARK-15323][SQL] 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":16,"created_at":"2016-05-13T18:55:37Z","updated_at":"2016-05-18T09:12:51Z","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":"https://issues.apache.org/jira/browse/SPARK-15323\r\n\r\nI 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]`.\r\nSee https://issues.apache.org/jira/browse/SPARK-14463 for that issue.\r\n\r\n"},"comment":{"url":"https://api.github.com/repos/apache/spark/issues/comments/219969829","html_url":"https://github.com/apache/spark/pull/13104#issuecomment-219969829","issue_url":"https://api.github.com/repos/apache/spark/issues/13104","id":219969829,"user":{"login":"SparkQA","id":8108735,"avatar_url":"https://avatars.githubusercontent.com/u/8108735?v=3","gravatar_id":"","url":"https://api.github.com/users/SparkQA","html_url":"https://github.com/SparkQA","followers_url":"https://api.github.com/users/SparkQA/followers","following_url":"https://api.github.com/users/SparkQA/following{/other_user}","gists_url":"https://api.github.com/users/SparkQA/gists{/gist_id}","starred_url":"https://api.github.com/users/SparkQA/starred{/owner}{/repo}","subscriptions_url":"https://api.github.com/users/SparkQA/subscriptions","organizations_url":"https://api.github.com/users/SparkQA/orgs","repos_url":"https://api.github.com/users/SparkQA/repos","events_url":"https://api.github.com/users/SparkQA/events{/privacy}","received_events_url":"https://api.github.com/users/SparkQA/received_events","type":"User","site_admin":false},"created_at":"2016-05-18T09:12:51Z","updated_at":"2016-05-18T09:12:51Z","body":"**[Test build #58759 has finished](https://amplab.cs.berkeley.edu/jenkins/job/SparkPullRequestBuilder/58759/consoleFull)** for PR 13104 at commit [`5753319`](https://github.com/apache/spark/commit/57533190fa676046825df59d6aa20750eb45635e).\n * This patch **fails Spark unit tests**.\n * This patch merges cleanly.\n * This patch adds no public classes."}}