From issues-return-183474-archive-asf-public=cust-asf.ponee.io@spark.apache.org Tue Jan 30 20:51:05 2018 Return-Path: X-Original-To: archive-asf-public@eu.ponee.io Delivered-To: archive-asf-public@eu.ponee.io Received: from cust-asf.ponee.io (cust-asf.ponee.io [163.172.22.183]) by mx-eu-01.ponee.io (Postfix) with ESMTP id F420918061A for ; Tue, 30 Jan 2018 20:51:04 +0100 (CET) Received: by cust-asf.ponee.io (Postfix) id E2716160C2A; Tue, 30 Jan 2018 19:51:04 +0000 (UTC) Delivered-To: archive-asf-public@cust-asf.ponee.io Received: from mail.apache.org (hermes.apache.org [140.211.11.3]) by cust-asf.ponee.io (Postfix) with SMTP id 1000D160C53 for ; Tue, 30 Jan 2018 20:51:03 +0100 (CET) Received: (qmail 21938 invoked by uid 500); 30 Jan 2018 19:51:03 -0000 Mailing-List: contact issues-help@spark.apache.org; run by ezmlm Precedence: bulk List-Help: List-Unsubscribe: List-Post: List-Id: Delivered-To: mailing list issues@spark.apache.org Received: (qmail 21929 invoked by uid 99); 30 Jan 2018 19:51:03 -0000 Received: from pnap-us-west-generic-nat.apache.org (HELO spamd1-us-west.apache.org) (209.188.14.142) by apache.org (qpsmtpd/0.29) with ESMTP; Tue, 30 Jan 2018 19:51:03 +0000 Received: from localhost (localhost [127.0.0.1]) by spamd1-us-west.apache.org (ASF Mail Server at spamd1-us-west.apache.org) with ESMTP id C287AD513F for ; Tue, 30 Jan 2018 19:51:02 +0000 (UTC) X-Virus-Scanned: Debian amavisd-new at spamd1-us-west.apache.org X-Spam-Flag: NO X-Spam-Score: -109.511 X-Spam-Level: X-Spam-Status: No, score=-109.511 tagged_above=-999 required=6.31 tests=[ENV_AND_HDR_SPF_MATCH=-0.5, KAM_ASCII_DIVIDERS=0.8, RCVD_IN_DNSWL_MED=-2.3, SPF_PASS=-0.001, T_RP_MATCHES_RCVD=-0.01, USER_IN_DEF_SPF_WL=-7.5, USER_IN_WHITELIST=-100] autolearn=disabled Received: from mx1-lw-eu.apache.org ([10.40.0.8]) by localhost (spamd1-us-west.apache.org [10.40.0.7]) (amavisd-new, port 10024) with ESMTP id YCZQPKSa-tmD for ; Tue, 30 Jan 2018 19:51:01 +0000 (UTC) Received: from mailrelay1-us-west.apache.org (mailrelay1-us-west.apache.org [209.188.14.139]) by mx1-lw-eu.apache.org (ASF Mail Server at mx1-lw-eu.apache.org) with ESMTP id 3D92D5FB87 for ; Tue, 30 Jan 2018 19:51:01 +0000 (UTC) Received: from jira-lw-us.apache.org (unknown [207.244.88.139]) by mailrelay1-us-west.apache.org (ASF Mail Server at mailrelay1-us-west.apache.org) with ESMTP id 74D8BE00D2 for ; Tue, 30 Jan 2018 19:51:00 +0000 (UTC) Received: from jira-lw-us.apache.org (localhost [127.0.0.1]) by jira-lw-us.apache.org (ASF Mail Server at jira-lw-us.apache.org) with ESMTP id 39E5E21301 for ; Tue, 30 Jan 2018 19:51:00 +0000 (UTC) Date: Tue, 30 Jan 2018 19:51:00 +0000 (UTC) From: "Josh Rosen (JIRA)" To: issues@spark.apache.org Message-ID: In-Reply-To: References: Subject: [jira] [Updated] (SPARK-23274) ReplaceExceptWithFilter fails on dataframes filtered on same column MIME-Version: 1.0 Content-Type: text/plain; charset=utf-8 Content-Transfer-Encoding: quoted-printable X-JIRA-FingerPrint: 30527f35849b9dde25b450d4833f0394 [ https://issues.apache.org/jira/browse/SPARK-23274?page=3Dcom.atlassi= an.jira.plugin.system.issuetabpanels:all-tabpanel ] Josh Rosen updated SPARK-23274: ------------------------------- Labels: correctness (was: ) > ReplaceExceptWithFilter fails on dataframes filtered on same column > ------------------------------------------------------------------- > > Key: SPARK-23274 > URL: https://issues.apache.org/jira/browse/SPARK-23274 > Project: Spark > Issue Type: Bug > Components: SQL > Affects Versions: 2.3.0 > Reporter: Onur Satici > Assignee: Xiao Li > Priority: Blocker > Labels: correctness > > Currently affects: > {code:java} > $ git tag --contains 01f6ba0e7a > v2.3.0-rc1 > v2.3.0-rc2 > {code} > Steps to reproduce: > {code:java} > $ cat test.csv > a,b > 1,2 > 1,3 > 2,2 > 2,4 > {code} > {code:java} > val df =3D spark.read.format("csv").option("header", "true").load("test.c= sv") > val df1 =3D df.filter($"a" =3D=3D=3D 1) > val df2 =3D df.filter($"a" =3D=3D=3D 2) > df1.select("b").except(df2.select("b")).show > {code} > results in: > {code:java} > java.util.NoSuchElementException: key not found: a > =C2=A0 at scala.collection.MapLike$class.default(MapLike.scala:228) > =C2=A0 at scala.collection.AbstractMap.default(Map.scala:59) > =C2=A0 at scala.collection.MapLike$class.apply(MapLike.scala:141) > =C2=A0 at scala.collection.AbstractMap.apply(Map.scala:59) > =C2=A0 at org.apache.spark.sql.catalyst.optimizer.ReplaceExceptWithFilter= $$anonfun$org$apache$spark$sql$catalyst$optimizer$ReplaceExceptWithFilter$$= transformCondition$1.applyOrElse(ReplaceExceptWithFilter.scala:60) > =C2=A0 at org.apache.spark.sql.catalyst.optimizer.ReplaceExceptWithFilter= $$anonfun$org$apache$spark$sql$catalyst$optimizer$ReplaceExceptWithFilter$$= transformCondition$1.applyOrElse(ReplaceExceptWithFilter.scala:60) > =C2=A0 at org.apache.spark.sql.catalyst.trees.TreeNode$$anonfun$2.apply(T= reeNode.scala:267) > =C2=A0 at org.apache.spark.sql.catalyst.trees.TreeNode$$anonfun$2.apply(T= reeNode.scala:267) > =C2=A0 at org.apache.spark.sql.catalyst.trees.CurrentOrigin$.withOrigin(T= reeNode.scala:70) > =C2=A0 at org.apache.spark.sql.catalyst.trees.TreeNode.transformDown(Tree= Node.scala:266) > =C2=A0 at org.apache.spark.sql.catalyst.trees.TreeNode$$anonfun$transform= Down$1.apply(TreeNode.scala:272) > =C2=A0 at org.apache.spark.sql.catalyst.trees.TreeNode$$anonfun$transform= Down$1.apply(TreeNode.scala:272) > =C2=A0 at org.apache.spark.sql.catalyst.trees.TreeNode$$anonfun$4.apply(T= reeNode.scala:306) > =C2=A0 at org.apache.spark.sql.catalyst.trees.TreeNode.mapProductIterator= (TreeNode.scala:187) > =C2=A0 at org.apache.spark.sql.catalyst.trees.TreeNode.mapChildren(TreeNo= de.scala:304) > =C2=A0 at org.apache.spark.sql.catalyst.trees.TreeNode.transformDown(Tree= Node.scala:272) > =C2=A0 at org.apache.spark.sql.catalyst.trees.TreeNode$$anonfun$transform= Down$1.apply(TreeNode.scala:272) > =C2=A0 at org.apache.spark.sql.catalyst.trees.TreeNode$$anonfun$transform= Down$1.apply(TreeNode.scala:272) > =C2=A0 at org.apache.spark.sql.catalyst.trees.TreeNode$$anonfun$4.apply(T= reeNode.scala:306) > =C2=A0 at org.apache.spark.sql.catalyst.trees.TreeNode.mapProductIterator= (TreeNode.scala:187) > =C2=A0 at org.apache.spark.sql.catalyst.trees.TreeNode.mapChildren(TreeNo= de.scala:304) > =C2=A0 at org.apache.spark.sql.catalyst.trees.TreeNode.transformDown(Tree= Node.scala:272) > =C2=A0 at org.apache.spark.sql.catalyst.trees.TreeNode.transform(TreeNode= .scala:256) > =C2=A0 at org.apache.spark.sql.catalyst.optimizer.ReplaceExceptWithFilter= $.org$apache$spark$sql$catalyst$optimizer$ReplaceExceptWithFilter$$transfor= mCondition(ReplaceExceptWithFilter.scala:60) > =C2=A0 at org.apache.spark.sql.catalyst.optimizer.ReplaceExceptWithFilter= $$anonfun$apply$1.applyOrElse(ReplaceExceptWithFilter.scala:50) > =C2=A0 at org.apache.spark.sql.catalyst.optimizer.ReplaceExceptWithFilter= $$anonfun$apply$1.applyOrElse(ReplaceExceptWithFilter.scala:48) > =C2=A0 at org.apache.spark.sql.catalyst.trees.TreeNode$$anonfun$2.apply(T= reeNode.scala:267) > =C2=A0 at org.apache.spark.sql.catalyst.trees.TreeNode$$anonfun$2.apply(T= reeNode.scala:267) > =C2=A0 at org.apache.spark.sql.catalyst.trees.CurrentOrigin$.withOrigin(T= reeNode.scala:70) > =C2=A0 at org.apache.spark.sql.catalyst.trees.TreeNode.transformDown(Tree= Node.scala:266) > =C2=A0 at org.apache.spark.sql.catalyst.trees.TreeNode$$anonfun$transform= Down$1.apply(TreeNode.scala:272) > =C2=A0 at org.apache.spark.sql.catalyst.trees.TreeNode$$anonfun$transform= Down$1.apply(TreeNode.scala:272) > =C2=A0 at org.apache.spark.sql.catalyst.trees.TreeNode$$anonfun$4.apply(T= reeNode.scala:306) > =C2=A0 at org.apache.spark.sql.catalyst.trees.TreeNode.mapProductIterator= (TreeNode.scala:187) > =C2=A0 at org.apache.spark.sql.catalyst.trees.TreeNode.mapChildren(TreeNo= de.scala:304) > =C2=A0 at org.apache.spark.sql.catalyst.trees.TreeNode.transformDown(Tree= Node.scala:272) > =C2=A0 at org.apache.spark.sql.catalyst.trees.TreeNode$$anonfun$transform= Down$1.apply(TreeNode.scala:272) > =C2=A0 at org.apache.spark.sql.catalyst.trees.TreeNode$$anonfun$transform= Down$1.apply(TreeNode.scala:272) > =C2=A0 at org.apache.spark.sql.catalyst.trees.TreeNode$$anonfun$4.apply(T= reeNode.scala:306) > =C2=A0 at org.apache.spark.sql.catalyst.trees.TreeNode.mapProductIterator= (TreeNode.scala:187) > =C2=A0 at org.apache.spark.sql.catalyst.trees.TreeNode.mapChildren(TreeNo= de.scala:304) > =C2=A0 at org.apache.spark.sql.catalyst.trees.TreeNode.transformDown(Tree= Node.scala:272) > =C2=A0 at org.apache.spark.sql.catalyst.trees.TreeNode.transform(TreeNode= .scala:256) > =C2=A0 at org.apache.spark.sql.catalyst.optimizer.ReplaceExceptWithFilter= $.apply(ReplaceExceptWithFilter.scala:48) > =C2=A0 at org.apache.spark.sql.catalyst.optimizer.ReplaceExceptWithFilter= $.apply(ReplaceExceptWithFilter.scala:41) > =C2=A0 at org.apache.spark.sql.catalyst.rules.RuleExecutor$$anonfun$execu= te$1$$anonfun$apply$1.apply(RuleExecutor.scala:92) > =C2=A0 at org.apache.spark.sql.catalyst.rules.RuleExecutor$$anonfun$execu= te$1$$anonfun$apply$1.apply(RuleExecutor.scala:89) > =C2=A0 at scala.collection.IndexedSeqOptimized$class.foldl(IndexedSeqOpti= mized.scala:57) > =C2=A0 at scala.collection.IndexedSeqOptimized$class.foldLeft(IndexedSeqO= ptimized.scala:66) > =C2=A0 at scala.collection.mutable.WrappedArray.foldLeft(WrappedArray.sca= la:35) > =C2=A0 at org.apache.spark.sql.catalyst.rules.RuleExecutor$$anonfun$execu= te$1.apply(RuleExecutor.scala:89) > =C2=A0 at org.apache.spark.sql.catalyst.rules.RuleExecutor$$anonfun$execu= te$1.apply(RuleExecutor.scala:81) > =C2=A0 at scala.collection.immutable.List.foreach(List.scala:381) > =C2=A0 at org.apache.spark.sql.catalyst.rules.RuleExecutor.execute(RuleEx= ecutor.scala:81) > =C2=A0 at org.apache.spark.sql.execution.QueryExecution.optimizedPlan$lzy= compute(QueryExecution.scala:79) > =C2=A0 at org.apache.spark.sql.execution.QueryExecution.optimizedPlan(Que= ryExecution.scala:79) > =C2=A0 at org.apache.spark.sql.execution.QueryExecution.sparkPlan$lzycomp= ute(QueryExecution.scala:85) > =C2=A0 at org.apache.spark.sql.execution.QueryExecution.sparkPlan(QueryEx= ecution.scala:81) > =C2=A0 at org.apache.spark.sql.execution.QueryExecution.executedPlan$lzyc= ompute(QueryExecution.scala:90) > =C2=A0 at org.apache.spark.sql.execution.QueryExecution.executedPlan(Quer= yExecution.scala:90) > =C2=A0 at org.apache.spark.sql.Dataset.withAction(Dataset.scala:3141) > =C2=A0 at org.apache.spark.sql.Dataset.head(Dataset.scala:2426) > =C2=A0 at org.apache.spark.sql.Dataset.take(Dataset.scala:2640) > =C2=A0 at org.apache.spark.sql.Dataset.showString(Dataset.scala:237) > =C2=A0 at org.apache.spark.sql.Dataset.show(Dataset.scala:668) > =C2=A0 at org.apache.spark.sql.Dataset.show(Dataset.scala:627) > =C2=A0 at org.apache.spark.sql.Dataset.show(Dataset.scala:636) > =C2=A0 ... 49 elided > {code} -- This message was sent by Atlassian JIRA (v7.6.3#76005) --------------------------------------------------------------------- To unsubscribe, e-mail: issues-unsubscribe@spark.apache.org For additional commands, e-mail: issues-help@spark.apache.org