{"action":"created","comment":{"url":"https://api.github.com/repos/apache/spark/pulls/comments/72182807","id":72182807,"diff_hunk":"@@ -33,13 +33,24 @@ case class CreateArray(children: Seq[Expression]) extends Expression {\n \n   override def foldable: Boolean = children.forall(_.foldable)\n \n-  override def checkInputDataTypes(): TypeCheckResult =\n-    TypeUtils.checkForSameTypeInputExpr(children.map(_.dataType), \"function array\")\n+  override def checkInputDataTypes(): TypeCheckResult = {\n+    if (children.map(_.dataType).forall(_.isInstanceOf[DecimalType])) {\n+      TypeCheckResult.TypeCheckSuccess","path":"sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/expressions/complexTypeCreator.scala","position":17,"original_position":17,"commit_id":"d3dd7fb03c7bd96d7ce1ab7ed505d137775062f2","original_commit_id":"d3dd7fb03c7bd96d7ce1ab7ed505d137775062f2","user":{"login":"dongjoon-hyun","id":9700541,"avatar_url":"https://avatars.githubusercontent.com/u/9700541?v=3","gravatar_id":"","url":"https://api.github.com/users/dongjoon-hyun","html_url":"https://github.com/dongjoon-hyun","followers_url":"https://api.github.com/users/dongjoon-hyun/followers","following_url":"https://api.github.com/users/dongjoon-hyun/following{/other_user}","gists_url":"https://api.github.com/users/dongjoon-hyun/gists{/gist_id}","starred_url":"https://api.github.com/users/dongjoon-hyun/starred{/owner}{/repo}","subscriptions_url":"https://api.github.com/users/dongjoon-hyun/subscriptions","organizations_url":"https://api.github.com/users/dongjoon-hyun/orgs","repos_url":"https://api.github.com/users/dongjoon-hyun/repos","events_url":"https://api.github.com/users/dongjoon-hyun/events{/privacy}","received_events_url":"https://api.github.com/users/dongjoon-hyun/received_events","type":"User","site_admin":false},"body":"Thank you for review, @yhuai .\r\nI see. I'll check that more. ","created_at":"2016-07-26T03:26:56Z","updated_at":"2016-07-26T03:26:56Z","html_url":"https://github.com/apache/spark/pull/14353#discussion_r72182807","pull_request_url":"https://api.github.com/repos/apache/spark/pulls/14353","_links":{"self":{"href":"https://api.github.com/repos/apache/spark/pulls/comments/72182807"},"html":{"href":"https://github.com/apache/spark/pull/14353#discussion_r72182807"},"pull_request":{"href":"https://api.github.com/repos/apache/spark/pulls/14353"}}},"pull_request":{"url":"https://api.github.com/repos/apache/spark/pulls/14353","id":78765588,"html_url":"https://github.com/apache/spark/pull/14353","diff_url":"https://github.com/apache/spark/pull/14353.diff","patch_url":"https://github.com/apache/spark/pull/14353.patch","issue_url":"https://api.github.com/repos/apache/spark/issues/14353","number":14353,"state":"open","locked":false,"title":"[SPARK-16714][SQL] `array` should create a decimal array from decimals with different precisions and scales","user":{"login":"dongjoon-hyun","id":9700541,"avatar_url":"https://avatars.githubusercontent.com/u/9700541?v=3","gravatar_id":"","url":"https://api.github.com/users/dongjoon-hyun","html_url":"https://github.com/dongjoon-hyun","followers_url":"https://api.github.com/users/dongjoon-hyun/followers","following_url":"https://api.github.com/users/dongjoon-hyun/following{/other_user}","gists_url":"https://api.github.com/users/dongjoon-hyun/gists{/gist_id}","starred_url":"https://api.github.com/users/dongjoon-hyun/starred{/owner}{/repo}","subscriptions_url":"https://api.github.com/users/dongjoon-hyun/subscriptions","organizations_url":"https://api.github.com/users/dongjoon-hyun/orgs","repos_url":"https://api.github.com/users/dongjoon-hyun/repos","events_url":"https://api.github.com/users/dongjoon-hyun/events{/privacy}","received_events_url":"https://api.github.com/users/dongjoon-hyun/received_events","type":"User","site_admin":false},"body":"## What changes were proposed in this pull request?\r\n\r\nIn Spark 2.0, we will parse float literals as decimals. However, it introduces a side-effect, which is described below.\r\n\r\n**Before**\r\n```scala\r\nscala> sql(\"select array(0.001, 0.02)\")\r\norg.apache.spark.sql.AnalysisException: cannot resolve `array(CAST(0.001 AS DECIMAL(3,3)), CAST(0.02 AS DECIMAL(2,2)))` due to data type mismatch: input to function array should all be the same type, but it's [decimal(3,3), decimal(2,2)]; line 1 pos 7\r\n```\r\n\r\n**After**\r\n```scala\r\nscala> sql(\"select array(0.001, 0.02)\")\r\nres0: org.apache.spark.sql.DataFrame = [array(0.001, 0.02): array<decimal(3,3)>]\r\n```\r\n\r\n## How was this patch tested?\r\n\r\nPass the Jenkins tests with a new test 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