{"action":"created","comment":{"url":"https://api.github.com/repos/apache/spark/pulls/comments/54324424","id":54324424,"diff_hunk":"@@ -1753,15 +1753,26 @@ class DataFrame private[sql](\n    * Converts a JavaRDD to a PythonRDD.\n    */\n   protected[sql] def javaToPython: JavaRDD[Array[Byte]] = {\n-    val structType = schema  // capture it for closure\n-    val rdd = queryExecution.toRdd.map(EvaluatePython.toJava(_, structType))\n-    EvaluatePython.javaToPython(rdd)\n+    if (isOutputPickled) {\n+      queryExecution.toRdd.map(_.getBinary(0))","path":"sql/core/src/main/scala/org/apache/spark/sql/DataFrame.scala","position":26,"original_position":26,"commit_id":"adb2aa91564903dae72b6cef010822b9c335993f","original_commit_id":"adb2aa91564903dae72b6cef010822b9c335993f","user":{"login":"cloud-fan","id":3182036,"avatar_url":"https://avatars.githubusercontent.com/u/3182036?v=3","gravatar_id":"","url":"https://api.github.com/users/cloud-fan","html_url":"https://github.com/cloud-fan","followers_url":"https://api.github.com/users/cloud-fan/followers","following_url":"https://api.github.com/users/cloud-fan/following{/other_user}","gists_url":"https://api.github.com/users/cloud-fan/gists{/gist_id}","starred_url":"https://api.github.com/users/cloud-fan/starred{/owner}{/repo}","subscriptions_url":"https://api.github.com/users/cloud-fan/subscriptions","organizations_url":"https://api.github.com/users/cloud-fan/orgs","repos_url":"https://api.github.com/users/cloud-fan/repos","events_url":"https://api.github.com/users/cloud-fan/events{/privacy}","received_events_url":"https://api.github.com/users/cloud-fan/received_events","type":"User","site_admin":false},"body":"I introduced this for aggregate at first.\r\nThink about `ds.map(...).groupByKey(key_func, key_schema).mapGroups(...)`, when do aggregate, we need to run the key function and append key data to the input rows. In this case, the input rows are the python data after `map`. So we need to store the python data at JVM side even without schema, but the row count should be corrected.\r\n\r\nIt's also more clear when we call `ds.map(...).count()`, users would expect same row count after typed operations.","created_at":"2016-02-27T01:28:29Z","updated_at":"2016-02-27T01:28:29Z","html_url":"https://github.com/apache/spark/pull/11347#discussion_r54324424","pull_request_url":"https://api.github.com/repos/apache/spark/pulls/11347","_links":{"self":{"href":"https://api.github.com/repos/apache/spark/pulls/comments/54324424"},"html":{"href":"https://github.com/apache/spark/pull/11347#discussion_r54324424"},"pull_request":{"href":"https://api.github.com/repos/apache/spark/pulls/11347"}}},"pull_request":{"url":"https://api.github.com/repos/apache/spark/pulls/11347","id":60515454,"html_url":"https://github.com/apache/spark/pull/11347","diff_url":"https://github.com/apache/spark/pull/11347.diff","patch_url":"https://github.com/apache/spark/pull/11347.patch","issue_url":"https://api.github.com/repos/apache/spark/issues/11347","number":11347,"state":"open","locked":false,"title":"[SPARK-13233][SQL] Python Dataset (basic version)","user":{"login":"cloud-fan","id":3182036,"avatar_url":"https://avatars.githubusercontent.com/u/3182036?v=3","gravatar_id":"","url":"https://api.github.com/users/cloud-fan","html_url":"https://github.com/cloud-fan","followers_url":"https://api.github.com/users/cloud-fan/followers","following_url":"https://api.github.com/users/cloud-fan/following{/other_user}","gists_url":"https://api.github.com/users/cloud-fan/gists{/gist_id}","starred_url":"https://api.github.com/users/cloud-fan/starred{/owner}{/repo}","subscriptions_url":"https://api.github.com/users/cloud-fan/subscriptions","organizations_url":"https://api.github.com/users/cloud-fan/orgs","repos_url":"https://api.github.com/users/cloud-fan/repos","events_url":"https://api.github.com/users/cloud-fan/events{/privacy}","received_events_url":"https://api.github.com/users/cloud-fan/received_events","type":"User","site_admin":false},"body":"## What changes were proposed in this pull request?\r\n\r\nThis PR introduce a new API: Python dataset. Conceptually it's a combination of Python DataFrame and Python RDD, supports both typed operations(e.g. map, flatMap, filter, etc.) and untyped operations(e.g. select, sort, etc.). This is a simpler version of https://github.com/apache/spark/pull/11117, without the aggregate part.\r\n\r\nThere are 3 ways(can be more) to add the `Dataset` API to python:\r\n\r\n* Extending `DataFrame` to support typed operations and alias it with `Dataset`\r\n* Renaming `DataFrame` to `Dataset`, and alias `Dataset` with `DataFrame` for compatibility(so conceptually we only have Dataset). We also need to rename a lot of related stuff like `createDataFrame`, some documents, etc.\r\n* Add typed operations in `DataFrame` and make `Dataset` extend `DataFrame`. Typed operations will always return `Dataset`, structured operations will always return `DataFrame`, and `Dataset` has an extra API called `applySchema` to turn it into `DataFrame`.\r\n\r\nThis PR choose the first one.\r\n\r\n\r\n## How was this patch tested?\r\n\r\nnew tests are added in pyspark/sql/tests.py","created_at":"2016-02-24T14:20:24Z","updated_at":"2016-02-27T01:28:29Z","closed_at":null,"merged_at":null,"merge_commit_sha":"56e164be68fdfa3ca7b5e6e2e8939ef782068995","assignee":null,"milestone":null,"commits_url":"https://api.github.com/repos/apache/spark/pulls/11347/commits","review_comments_url":"https://api.github.com/repos/apache/spark/pulls/11347/comments","review_comment_url":"https://api.github.com/repos/apache/spark/pulls/comments{/number}","comments_url":"https://api.github.com/repos/apache/spark/issues/11347/comments","statuses_url":"https://api.github.com/repos/apache/spark/statuses/adb2aa91564903dae72b6cef010822b9c335993f","head":{"label":"cloud-fan:pydataset","ref":"pydataset","sha":"adb2aa91564903dae72b6cef010822b9c335993f","user":{"login":"cloud-fan","id":3182036,"avatar_url":"https://avatars.githubusercontent.com/u/3182036?v=3","gravatar_id":"","url":"https://api.github.com/users/cloud-fan","html_url":"https://github.com/cloud-fan","followers_url":"https://api.github.com/users/cloud-fan/followers","following_url":"https://api.github.com/users/cloud-fan/following{/other_user}","gists_url":"https://api.github.com/users/cloud-fan/gists{/gist_id}","starred_url":"https://api.github.com/users/cloud-fan/starred{/owner}{/repo}","subscriptions_url":"https://api.github.com/users/cloud-fan/subscriptions","organizations_url":"https://api.github.com/users/cloud-fan/orgs","repos_url":"https://api.github.com/users/cloud-fan/repos","events_url":"https://api.github.com/users/cloud-fan/events{/privacy}","received_events_url":"https://api.github.com/users/cloud-fan/received_events","type":"User","site_admin":false},"repo":{"id":19689699,"name":"spark","full_name":"cloud-fan/spark","owner":{"login":"cloud-fan","id":3182036,"avatar_url":"https://avatars.githubusercontent.com/u/3182036?v=3","gravatar_id":"","url":"https://api.github.com/users/cloud-fan","html_url":"https://github.com/cloud-fan","followers_url":"https://api.github.com/users/cloud-fan/followers","following_url":"https://api.github.com/users/cloud-fan/following{/other_user}","gists_url":"https://api.github.com/users/cloud-fan/gists{/gist_id}","starred_url":"https://api.github.com/users/cloud-fan/starred{/owner}{/repo}","subscriptions_url":"https://api.github.com/users/cloud-fan/subscriptions","organizations_url":"https://api.github.com/users/cloud-fan/orgs","repos_url":"https://api.github.com/users/cloud-fan/repos","events_url":"https://api.github.com/users/cloud-fan/events{/privacy}","received_events_url":"https://api.github.com/users/cloud-fan/received_events","type":"User","site_admin":false},"private":false,"html_url":"https://github.com/cloud-fan/spark","description":"Mirror 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