{"action":"created","comment":{"url":"https://api.github.com/repos/apache/spark/pulls/comments/69675796","id":69675796,"diff_hunk":"@@ -0,0 +1,95 @@\n+/*\n+ * Licensed to the Apache Software Foundation (ASF) under one or more\n+ * contributor license agreements.  See the NOTICE file distributed with\n+ * this work for additional information regarding copyright ownership.\n+ * The ASF licenses this file to You under the Apache License, Version 2.0\n+ * (the \"License\"); you may not use this file except in compliance with\n+ * the License.  You may obtain a copy of the License at\n+ *\n+ *    http://www.apache.org/licenses/LICENSE-2.0\n+ *\n+ * Unless required by applicable law or agreed to in writing, software\n+ * distributed under the License is distributed on an \"AS IS\" BASIS,\n+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n+ * See the License for the specific language governing permissions and\n+ * limitations under the License.\n+ */\n+\n+package org.apache.spark.sql.execution\n+\n+import org.apache.spark.sql._\n+import org.apache.spark.sql.catalyst.plans.logical.LocalRelation\n+import org.apache.spark.sql.internal.SQLConf\n+import org.apache.spark.sql.test.SharedSQLContext\n+\n+class OptimizeMetadataOnlySuite extends QueryTest with SharedSQLContext {\n+  import testImplicits._\n+\n+  override def beforeAll(): Unit = {\n+    super.beforeAll()\n+    val data = (1 to 10).map(i => (i, s\"data-$i\", i % 2, if ((i % 2) == 0) \"even\" else \"odd\"))\n+      .toDF(\"id\", \"data\", \"partId\", \"part\")\n+    data.write.partitionBy(\"partId\", \"part\").mode(\"append\").saveAsTable(\"srcpart_15752\")\n+  }\n+\n+  override protected def afterAll(): Unit = {\n+    try {\n+      sql(\"DROP TABLE IF EXISTS srcpart_15752\")\n+    } finally {\n+      super.afterAll()\n+    }\n+  }\n+\n+  private def checkWithMetadataOnly(df: DataFrame): Unit = {\n+    val localRelations = df.queryExecution.optimizedPlan.collect {\n+      case l @ LocalRelation(_, _) => l\n+    }\n+    assert(localRelations.size == 1)\n+  }\n+\n+  private def checkWithoutMetadataOnly(df: DataFrame): Unit = {\n+    val localRelations = df.queryExecution.optimizedPlan.collect{\n+      case l @ LocalRelation(_, _) => l\n+    }\n+    assert(localRelations.size == 0)\n+  }\n+\n+  test(\"spark-15752 metadata only optimizer for partition table\") {","path":"sql/core/src/test/scala/org/apache/spark/sql/execution/OptimizeMetadataOnlySuite.scala","position":57,"original_position":57,"commit_id":"4297f9f7f32fc2ea59bba43569b17da94ed84fce","original_commit_id":"4297f9f7f32fc2ea59bba43569b17da94ed84fce","user":{"login":"rxin","id":323388,"avatar_url":"https://avatars.githubusercontent.com/u/323388?v=3","gravatar_id":"","url":"https://api.github.com/users/rxin","html_url":"https://github.com/rxin","followers_url":"https://api.github.com/users/rxin/followers","following_url":"https://api.github.com/users/rxin/following{/other_user}","gists_url":"https://api.github.com/users/rxin/gists{/gist_id}","starred_url":"https://api.github.com/users/rxin/starred{/owner}{/repo}","subscriptions_url":"https://api.github.com/users/rxin/subscriptions","organizations_url":"https://api.github.com/users/rxin/orgs","repos_url":"https://api.github.com/users/rxin/repos","events_url":"https://api.github.com/users/rxin/events{/privacy}","received_events_url":"https://api.github.com/users/rxin/received_events","type":"User","site_admin":false},"body":"for example, you can have a test case for each of the category you documented in the optimizer classdoc comment, and also have separate test cases for filter, project, etc.\r\n","created_at":"2016-07-06T05:06:08Z","updated_at":"2016-07-06T05:06:08Z","html_url":"https://github.com/apache/spark/pull/13494#discussion_r69675796","pull_request_url":"https://api.github.com/repos/apache/spark/pulls/13494","_links":{"self":{"href":"https://api.github.com/repos/apache/spark/pulls/comments/69675796"},"html":{"href":"https://github.com/apache/spark/pull/13494#discussion_r69675796"},"pull_request":{"href":"https://api.github.com/repos/apache/spark/pulls/13494"}}},"pull_request":{"url":"https://api.github.com/repos/apache/spark/pulls/13494","id":72466482,"html_url":"https://github.com/apache/spark/pull/13494","diff_url":"https://github.com/apache/spark/pull/13494.diff","patch_url":"https://github.com/apache/spark/pull/13494.patch","issue_url":"https://api.github.com/repos/apache/spark/issues/13494","number":13494,"state":"open","locked":false,"title":"[SPARK-15752] [SQL] support optimization for metadata only queries","user":{"login":"lianhuiwang","id":545478,"avatar_url":"https://avatars.githubusercontent.com/u/545478?v=3","gravatar_id":"","url":"https://api.github.com/users/lianhuiwang","html_url":"https://github.com/lianhuiwang","followers_url":"https://api.github.com/users/lianhuiwang/followers","following_url":"https://api.github.com/users/lianhuiwang/following{/other_user}","gists_url":"https://api.github.com/users/lianhuiwang/gists{/gist_id}","starred_url":"https://api.github.com/users/lianhuiwang/starred{/owner}{/repo}","subscriptions_url":"https://api.github.com/users/lianhuiwang/subscriptions","organizations_url":"https://api.github.com/users/lianhuiwang/orgs","repos_url":"https://api.github.com/users/lianhuiwang/repos","events_url":"https://api.github.com/users/lianhuiwang/events{/privacy}","received_events_url":"https://api.github.com/users/lianhuiwang/received_events","type":"User","site_admin":false},"body":"## What changes were proposed in this pull request?\r\nwhen query only use metadata (example: partition key), it can return results based on metadata without scanning files. Hive did it in HIVE-1003.\r\n\r\n## How was this patch tested?\r\nadd unit tests\r\n","created_at":"2016-06-03T07:45:37Z","updated_at":"2016-07-06T05:06:08Z","closed_at":null,"merged_at":null,"merge_commit_sha":"034c1043cd89095408b09038c40d6353d592f131","assignee":null,"assignees":[],"milestone":null,"commits_url":"https://api.github.com/repos/apache/spark/pulls/13494/commits","review_comments_url":"https://api.github.com/repos/apache/spark/pulls/13494/comments","review_comment_url":"https://api.github.com/repos/apache/spark/pulls/comments{/number}","comments_url":"https://api.github.com/repos/apache/spark/issues/13494/comments","statuses_url":"https://api.github.com/repos/apache/spark/statuses/4297f9f7f32fc2ea59bba43569b17da94ed84fce","head":{"label":"lianhuiwang:metadata-only","ref":"metadata-only","sha":"4297f9f7f32fc2ea59bba43569b17da94ed84fce","user":{"login":"lianhuiwang","id":545478,"avatar_url":"https://avatars.githubusercontent.com/u/545478?v=3","gravatar_id":"","url":"https://api.github.com/users/lianhuiwang","html_url":"https://github.com/lianhuiwang","followers_url":"https://api.github.com/users/lianhuiwang/followers","following_url":"https://api.github.com/users/lianhuiwang/following{/other_user}","gists_url":"https://api.github.com/users/lianhuiwang/gists{/gist_id}","starred_url":"https://api.github.com/users/lianhuiwang/starred{/owner}{/repo}","subscriptions_url":"https://api.github.com/users/lianhuiwang/subscriptions","organizations_url":"https://api.github.com/users/lianhuiwang/orgs","repos_url":"https://api.github.com/users/lianhuiwang/repos","events_url":"https://api.github.com/users/lianhuiwang/events{/privacy}","received_events_url":"https://api.github.com/users/lianhuiwang/received_events","type":"User","site_admin":false},"repo":{"id":20906966,"name":"spark","full_name":"lianhuiwang/spark","owner":{"login":"lianhuiwang","id":545478,"avatar_url":"https://avatars.githubusercontent.com/u/545478?v=3","gravatar_id":"","url":"https://api.github.com/users/lianhuiwang","html_url":"https://github.com/lianhuiwang","followers_url":"https://api.github.com/users/lianhuiwang/followers","following_url":"https://api.github.com/users/lianhuiwang/following{/other_user}","gists_url":"https://api.github.com/users/lianhuiwang/gists{/gist_id}","starred_url":"https://api.github.com/users/lianhuiwang/starred{/owner}{/repo}","subscriptions_url":"https://api.github.com/users/lianhuiwang/subscriptions","organizations_url":"https://api.github.com/users/lianhuiwang/orgs","repos_url":"https://api.github.com/users/lianhuiwang/repos","events_url":"https://api.github.com/users/lianhuiwang/events{/privacy}","received_events_url":"https://api.github.com/users/lianhuiwang/received_events","type":"User","site_admin":false},"private":false,"html_url":"https://github.com/lianhuiwang/spark","description":"Mirror 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