From issues-return-206224-archive-asf-public=cust-asf.ponee.io@spark.apache.org Mon Oct 29 16:51:08 2018 Return-Path: X-Original-To: archive-asf-public@cust-asf.ponee.io Delivered-To: archive-asf-public@cust-asf.ponee.io Received: from mail.apache.org (hermes.apache.org [140.211.11.3]) by mx-eu-01.ponee.io (Postfix) with SMTP id E0566180627 for ; Mon, 29 Oct 2018 16:51:07 +0100 (CET) Received: (qmail 63508 invoked by uid 500); 29 Oct 2018 15:51:07 -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 63498 invoked by uid 99); 29 Oct 2018 15:51:07 -0000 Received: from pnap-us-west-generic-nat.apache.org (HELO spamd4-us-west.apache.org) (209.188.14.142) by apache.org (qpsmtpd/0.29) with ESMTP; Mon, 29 Oct 2018 15:51:07 +0000 Received: from localhost (localhost [127.0.0.1]) by spamd4-us-west.apache.org (ASF Mail Server at spamd4-us-west.apache.org) with ESMTP id 910B8C066E for ; Mon, 29 Oct 2018 15:51:06 +0000 (UTC) X-Virus-Scanned: Debian amavisd-new at spamd4-us-west.apache.org X-Spam-Flag: NO X-Spam-Score: -109.501 X-Spam-Level: X-Spam-Status: No, score=-109.501 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, 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 (spamd4-us-west.apache.org [10.40.0.11]) (amavisd-new, port 10024) with ESMTP id YTVVpVxz521L for ; Mon, 29 Oct 2018 15:51:04 +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 C80BA5F48E for ; Mon, 29 Oct 2018 15:51:02 +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 8F739E262F for ; Mon, 29 Oct 2018 15:51:01 +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 D06932776C for ; Mon, 29 Oct 2018 15:51:00 +0000 (UTC) Date: Mon, 29 Oct 2018 15:51:00 +0000 (UTC) From: "Herman van Hovell (JIRA)" To: issues@spark.apache.org Message-ID: In-Reply-To: References: Subject: [jira] [Resolved] (SPARK-25767) Error reported in Spark logs when using the org.apache.spark:spark-sql_2.11:2.3.2 Java library 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-25767?page=3Dcom.atlassi= an.jira.plugin.system.issuetabpanels:all-tabpanel ] Herman van Hovell resolved SPARK-25767. --------------------------------------- Resolution: Fixed Fix Version/s: 3.0.0 2.4.1 > Error reported in Spark logs when using the org.apache.spark:spark-sql_2.= 11:2.3.2 Java library > -------------------------------------------------------------------------= --------------------- > > Key: SPARK-25767 > URL: https://issues.apache.org/jira/browse/SPARK-25767 > Project: Spark > Issue Type: Bug > Components: Java API > Affects Versions: 2.2.0, 2.3.2 > Reporter: Thomas Brugiere > Assignee: Peter Toth > Priority: Major > Fix For: 2.4.1, 3.0.0 > > Attachments: fileA.csv, fileB.csv, fileC.csv > > > Hi, > Here is a bug I found using the latest version of spark-sql_2.11:2.2.0. N= ote that this case was also tested with spark-sql_2.11:2.3.2 and the bug is= also present. > This issue is a duplicate of the SPARK-25582 issue that I had to close af= ter an accidental manipulation from another developer (was linked to a wron= g PR) > You will find attached three small sample CSV files with the minimal cont= ent to raise the bug. > Find below a reproducer code: > {code:java} > import org.apache.spark.SparkConf; > import org.apache.spark.sql.Dataset; > import org.apache.spark.sql.Row; > import org.apache.spark.sql.SparkSession; > import scala.collection.JavaConverters; > import scala.collection.Seq; > import java.util.Arrays; > public class SparkBug { > private static Seq arrayToSeq(T[] input) { > return JavaConverters.asScalaIteratorConverter(Arrays.asList(inpu= t).iterator()).asScala().toSeq(); > } > public static void main(String[] args) throws Exception { > SparkConf conf =3D new SparkConf().setAppName("SparkBug").setMast= er("local"); > SparkSession sparkSession =3D SparkSession.builder().config(conf)= .getOrCreate(); > Dataset df_a =3D sparkSession.read().option("header", true).= csv("local/fileA.csv").dropDuplicates(); > Dataset df_b =3D sparkSession.read().option("header", true).= csv("local/fileB.csv").dropDuplicates(); > Dataset df_c =3D sparkSession.read().option("header", true).= csv("local/fileC.csv").dropDuplicates(); > String[] key_join_1 =3D new String[]{"colA", "colB", "colC", "col= D", "colE", "colF"}; > String[] key_join_2 =3D new String[]{"colA", "colB", "colC", "col= D", "colE"}; > Dataset df_inventory_1 =3D df_a.join(df_b, arrayToSeq(key_jo= in_1), "left"); > Dataset df_inventory_2 =3D df_inventory_1.join(df_c, arrayTo= Seq(key_join_2), "left"); > df_inventory_2.show(); > } > } > {code} > When running this code, I can see the exception below: > {code:java} > 18/10/18 09:25:49 ERROR CodeGenerator: failed to compile: org.codehaus.co= mmons.compiler.CompileException: File 'generated.java', Line 202, Column 18= : Expression "agg_isNull_28" is not an rvalue > org.codehaus.commons.compiler.CompileException: File 'generated.java', Li= ne 202, Column 18: Expression "agg_isNull_28" is not an rvalue > =C2=A0=C2=A0 =C2=A0at org.codehaus.janino.UnitCompiler.compileError(UnitC= ompiler.java:11821) > =C2=A0=C2=A0 =C2=A0at org.codehaus.janino.UnitCompiler.toRvalueOrCompileE= xception(UnitCompiler.java:7170) > =C2=A0=C2=A0 =C2=A0at org.codehaus.janino.UnitCompiler.getConstantValue2(= UnitCompiler.java:5332) > =C2=A0=C2=A0 =C2=A0at org.codehaus.janino.UnitCompiler.access$9400(UnitCo= mpiler.java:212) > =C2=A0=C2=A0 =C2=A0at org.codehaus.janino.UnitCompiler$13$1.visitAmbiguou= sName(UnitCompiler.java:5287) > =C2=A0=C2=A0 =C2=A0at org.codehaus.janino.Java$AmbiguousName.accept(Java.= java:4053) > =C2=A0=C2=A0 =C2=A0at org.codehaus.janino.UnitCompiler$13.visitLvalue(Uni= tCompiler.java:5284) > =C2=A0=C2=A0 =C2=A0at org.codehaus.janino.Java$Lvalue.accept(Java.java:39= 77) > =C2=A0=C2=A0 =C2=A0at org.codehaus.janino.UnitCompiler.getConstantValue(U= nitCompiler.java:5280) > =C2=A0=C2=A0 =C2=A0at org.codehaus.janino.UnitCompiler.compile2(UnitCompi= ler.java:2391) > =C2=A0=C2=A0 =C2=A0at org.codehaus.janino.UnitCompiler.access$1900(UnitCo= mpiler.java:212) > =C2=A0=C2=A0 =C2=A0at org.codehaus.janino.UnitCompiler$6.visitIfStatement= (UnitCompiler.java:1474) > =C2=A0=C2=A0 =C2=A0at org.codehaus.janino.UnitCompiler$6.visitIfStatement= (UnitCompiler.java:1466) > =C2=A0=C2=A0 =C2=A0at org.codehaus.janino.Java$IfStatement.accept(Java.ja= va:2926) > =C2=A0=C2=A0 =C2=A0at org.codehaus.janino.UnitCompiler.compile(UnitCompil= er.java:1466) > =C2=A0=C2=A0 =C2=A0at org.codehaus.janino.UnitCompiler.compileStatements(= UnitCompiler.java:1546) > =C2=A0=C2=A0 =C2=A0at org.codehaus.janino.UnitCompiler.compile(UnitCompil= er.java:3075) > =C2=A0=C2=A0 =C2=A0at org.codehaus.janino.UnitCompiler.compileDeclaredMet= hods(UnitCompiler.java:1336) > =C2=A0=C2=A0 =C2=A0at org.codehaus.janino.UnitCompiler.compileDeclaredMet= hods(UnitCompiler.java:1309) > =C2=A0=C2=A0 =C2=A0at org.codehaus.janino.UnitCompiler.compile2(UnitCompi= ler.java:799) > =C2=A0=C2=A0 =C2=A0at org.codehaus.janino.UnitCompiler.compile2(UnitCompi= ler.java:958) > =C2=A0=C2=A0 =C2=A0at org.codehaus.janino.UnitCompiler.access$700(UnitCom= piler.java:212) > =C2=A0=C2=A0 =C2=A0at org.codehaus.janino.UnitCompiler$2.visitMemberClass= Declaration(UnitCompiler.java:393) > =C2=A0=C2=A0 =C2=A0at org.codehaus.janino.UnitCompiler$2.visitMemberClass= Declaration(UnitCompiler.java:385) > =C2=A0=C2=A0 =C2=A0at org.codehaus.janino.Java$MemberClassDeclaration.acc= ept(Java.java:1286) > =C2=A0=C2=A0 =C2=A0at org.codehaus.janino.UnitCompiler.compile(UnitCompil= er.java:385) > =C2=A0=C2=A0 =C2=A0at org.codehaus.janino.UnitCompiler.compileDeclaredMem= berTypes(UnitCompiler.java:1285) > =C2=A0=C2=A0 =C2=A0at org.codehaus.janino.UnitCompiler.compile2(UnitCompi= ler.java:825) > =C2=A0=C2=A0 =C2=A0at org.codehaus.janino.UnitCompiler.compile2(UnitCompi= ler.java:411) > =C2=A0=C2=A0 =C2=A0at org.codehaus.janino.UnitCompiler.access$400(UnitCom= piler.java:212) > =C2=A0=C2=A0 =C2=A0at org.codehaus.janino.UnitCompiler$2.visitPackageMemb= erClassDeclaration(UnitCompiler.java:390) > =C2=A0=C2=A0 =C2=A0at org.codehaus.janino.UnitCompiler$2.visitPackageMemb= erClassDeclaration(UnitCompiler.java:385) > =C2=A0=C2=A0 =C2=A0at org.codehaus.janino.Java$PackageMemberClassDeclarat= ion.accept(Java.java:1405) > =C2=A0=C2=A0 =C2=A0at org.codehaus.janino.UnitCompiler.compile(UnitCompil= er.java:385) > =C2=A0=C2=A0 =C2=A0at org.codehaus.janino.UnitCompiler.compileUnit(UnitCo= mpiler.java:357) > =C2=A0=C2=A0 =C2=A0at org.codehaus.janino.SimpleCompiler.cook(SimpleCompi= ler.java:234) > =C2=A0=C2=A0 =C2=A0at org.codehaus.janino.SimpleCompiler.compileToClassLo= ader(SimpleCompiler.java:446) > =C2=A0=C2=A0 =C2=A0at org.codehaus.janino.ClassBodyEvaluator.compileToCla= ss(ClassBodyEvaluator.java:313) > =C2=A0=C2=A0 =C2=A0at org.codehaus.janino.ClassBodyEvaluator.cook(ClassBo= dyEvaluator.java:235) > =C2=A0=C2=A0 =C2=A0at org.codehaus.janino.SimpleCompiler.cook(SimpleCompi= ler.java:204) > =C2=A0=C2=A0 =C2=A0at org.codehaus.commons.compiler.Cookable.cook(Cookabl= e.java:80) > =C2=A0=C2=A0 =C2=A0at org.apache.spark.sql.catalyst.expressions.codegen.C= odeGenerator$.org$apache$spark$sql$catalyst$expressions$codegen$CodeGenerat= or$$doCompile(CodeGenerator.scala:1417) > =C2=A0=C2=A0 =C2=A0at org.apache.spark.sql.catalyst.expressions.codegen.C= odeGenerator$$anon$1.load(CodeGenerator.scala:1493) > =C2=A0=C2=A0 =C2=A0at org.apache.spark.sql.catalyst.expressions.codegen.C= odeGenerator$$anon$1.load(CodeGenerator.scala:1490) > =C2=A0=C2=A0 =C2=A0at org.spark_project.guava.cache.LocalCache$LoadingVal= ueReference.loadFuture(LocalCache.java:3599) > =C2=A0=C2=A0 =C2=A0at org.spark_project.guava.cache.LocalCache$Segment.lo= adSync(LocalCache.java:2379) > =C2=A0=C2=A0 =C2=A0at org.spark_project.guava.cache.LocalCache$Segment.lo= ckedGetOrLoad(LocalCache.java:2342) > =C2=A0=C2=A0 =C2=A0at org.spark_project.guava.cache.LocalCache$Segment.ge= t(LocalCache.java:2257) > =C2=A0=C2=A0 =C2=A0at org.spark_project.guava.cache.LocalCache.get(LocalC= ache.java:4000) > =C2=A0=C2=A0 =C2=A0at org.spark_project.guava.cache.LocalCache.getOrLoad(= LocalCache.java:4004) > =C2=A0=C2=A0 =C2=A0at org.spark_project.guava.cache.LocalCache$LocalLoadi= ngCache.get(LocalCache.java:4874) > =C2=A0=C2=A0 =C2=A0at org.apache.spark.sql.catalyst.expressions.codegen.C= odeGenerator$.compile(CodeGenerator.scala:1365) > =C2=A0=C2=A0 =C2=A0at org.apache.spark.sql.execution.WholeStageCodegenExe= c.liftedTree1$1(WholeStageCodegenExec.scala:579) > =C2=A0=C2=A0 =C2=A0at org.apache.spark.sql.execution.WholeStageCodegenExe= c.doExecute(WholeStageCodegenExec.scala:578) > =C2=A0=C2=A0 =C2=A0at org.apache.spark.sql.execution.SparkPlan$$anonfun$e= xecute$1.apply(SparkPlan.scala:131) > =C2=A0=C2=A0 =C2=A0at org.apache.spark.sql.execution.SparkPlan$$anonfun$e= xecute$1.apply(SparkPlan.scala:127) > =C2=A0=C2=A0 =C2=A0at org.apache.spark.sql.execution.SparkPlan$$anonfun$e= xecuteQuery$1.apply(SparkPlan.scala:155) > =C2=A0=C2=A0 =C2=A0at org.apache.spark.rdd.RDDOperationScope$.withScope(R= DDOperationScope.scala:151) > =C2=A0=C2=A0 =C2=A0at org.apache.spark.sql.execution.SparkPlan.executeQue= ry(SparkPlan.scala:152) > =C2=A0=C2=A0 =C2=A0at org.apache.spark.sql.execution.SparkPlan.execute(Sp= arkPlan.scala:127) > =C2=A0=C2=A0 =C2=A0at org.apache.spark.sql.execution.SparkPlan.getByteArr= ayRdd(SparkPlan.scala:247) > =C2=A0=C2=A0 =C2=A0at org.apache.spark.sql.execution.SparkPlan.executeTak= e(SparkPlan.scala:337) > =C2=A0=C2=A0 =C2=A0at org.apache.spark.sql.execution.CollectLimitExec.exe= cuteCollect(limit.scala:38) > =C2=A0=C2=A0 =C2=A0at org.apache.spark.sql.Dataset.org$apache$spark$sql$D= ataset$$collectFromPlan(Dataset.scala:3278) > =C2=A0=C2=A0 =C2=A0at org.apache.spark.sql.Dataset$$anonfun$head$1.apply(= Dataset.scala:2489) > =C2=A0=C2=A0 =C2=A0at org.apache.spark.sql.Dataset$$anonfun$head$1.apply(= Dataset.scala:2489) > =C2=A0=C2=A0 =C2=A0at org.apache.spark.sql.Dataset$$anonfun$52.apply(Data= set.scala:3259) > =C2=A0=C2=A0 =C2=A0at org.apache.spark.sql.execution.SQLExecution$.withNe= wExecutionId(SQLExecution.scala:77) > =C2=A0=C2=A0 =C2=A0at org.apache.spark.sql.Dataset.withAction(Dataset.sca= la:3258) > =C2=A0=C2=A0 =C2=A0at org.apache.spark.sql.Dataset.head(Dataset.scala:248= 9) > =C2=A0=C2=A0 =C2=A0at org.apache.spark.sql.Dataset.take(Dataset.scala:270= 3) > =C2=A0=C2=A0 =C2=A0at org.apache.spark.sql.Dataset.showString(Dataset.sca= la:254) > =C2=A0=C2=A0 =C2=A0at org.apache.spark.sql.Dataset.show(Dataset.scala:723= ) > =C2=A0=C2=A0 =C2=A0at org.apache.spark.sql.Dataset.show(Dataset.scala:682= ) > =C2=A0=C2=A0 =C2=A0at org.apache.spark.sql.Dataset.show(Dataset.scala:691= ) > =C2=A0=C2=A0 =C2=A0at SparkBug.main(SparkBug.java:30) > {code} > =C2=A0 -- 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