[SPARK-34002] Broken UDF Encoding - ASF JIRA

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Type: Bug
Status: Resolved
Priority: Blocker
Resolution: Fixed
Affects Version/s: 3.1.0, 3.2.0
Fix Version/s: 3.1.1
Component/s: SQL
Labels:
None
Environment:

Windows 10 Surface book 3

Local Spark

IntelliJ Idea

Target Version/s:

3.1.1

Description

UDFs can behave differently depending on if a dataframe is cached, despite the dataframe being identical

Repro:

import org.apache.spark.sql.expressions.UserDefinedFunction 
import org.apache.spark.sql.functions.{col, udf}

case class Bar(a: Int)
 
import spark.implicits._

def f1(bar: Bar): Option[Bar] = {
 None
}

def f2(bar: Bar): Option[Bar] = {
 Option(bar)
}

val udf1: UserDefinedFunction = udf(f1 _)
val udf2: UserDefinedFunction = udf(f2 _)

// Commenting in the cache will make this example work
val df = (1 to 10).map(i => Tuple1(Bar(1))).toDF("c0")//.cache()
val newDf = df
 .withColumn("c1", udf1(col("c0")))
 .withColumn("c2", udf2(col("c1")))
newDf.show()

Error:

Testing started at 12:58 AM ...Testing started at 12:58 AM ..."C:\Program Files\Java\jdk1.8.0_271\bin\java.exe" "-javaagent:C:\Program Files\JetBrains\IntelliJ IDEA 2020.2.3\lib\idea_rt.jar=56657:C:\Program Files\JetBrains\IntelliJ IDEA 2020.2.3\bin" -Dfile.encoding=UTF-8 -classpath "C:\Users\marhamil\AppData\Roaming\JetBrains\IntelliJIdea2020.2\plugins\Scala\lib\runners.jar;C:\Program Files\Java\jdk1.8.0_271\jre\lib\charsets.jar;C:\Program Files\Java\jdk1.8.0_271\jre\lib\deploy.jar;C:\Program Files\Java\jdk1.8.0_271\jre\lib\ext\access-bridge-64.jar;C:\Program Files\Java\jdk1.8.0_271\jre\lib\ext\cldrdata.jar;C:\Program Files\Java\jdk1.8.0_271\jre\lib\ext\dnsns.jar;C:\Program Files\Java\jdk1.8.0_271\jre\lib\ext\jaccess.jar;C:\Program Files\Java\jdk1.8.0_271\jre\lib\ext\jfxrt.jar;C:\Program Files\Java\jdk1.8.0_271\jre\lib\ext\localedata.jar;C:\Program Files\Java\jdk1.8.0_271\jre\lib\ext\nashorn.jar;C:\Program Files\Java\jdk1.8.0_271\jre\lib\ext\sunec.jar;C:\Program 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la-lang\modules\scala-xml_2.12\1.2.0\scala-xml_2.12-1.2.0.jar;C:\Users\marhamil\.sbt\boot\scala-2.12.10\lib\scala-library.jar;C:\Users\marhamil\.sbt\boot\scala-2.12.10\lib\scala-reflect.jar;C:\Users\marhamil\AppData\Local\Coursier\cache\v1\https\repo1.maven.org\maven2\org\scalactic\scalactic_2.12\3.0.5\scalactic_2.12-3.0.5.jar;C:\Users\marhamil\AppData\Local\Coursier\cache\v1\https\repo1.maven.org\maven2\org\scalanlp\breeze-macros_2.12\1.0\breeze-macros_2.12-1.0.jar;C:\Users\marhamil\AppData\Local\Coursier\cache\v1\https\repo1.maven.org\maven2\org\scalanlp\breeze_2.12\1.0\breeze_2.12-1.0.jar;C:\Users\marhamil\AppData\Local\Coursier\cache\v1\https\repo1.maven.org\maven2\org\scalatest\scalatest_2.12\3.0.5\scalatest_2.12-3.0.5.jar;C:\Users\marhamil\AppData\Local\Coursier\cache\v1\https\repo1.maven.org\maven2\org\slf4j\jcl-over-slf4j\1.7.30\jcl-over-slf4j-1.7.30.jar;C:\Users\marhamil\AppData\Local\Coursier\cache\v1\https\repo1.maven.org\maven2\org\slf4j\jul-to-slf4j\1.7.30\jul-to-slf4j-1.7.30.jar;C:\Users\marhamil\AppData\Local\Coursier\cache\v1\https\repo1.maven.org\maven2\org\slf4j\slf4j-api\1.7.30\slf4j-api-1.7.30.jar;C:\Users\marhamil\AppData\Local\Coursier\cache\v1\https\repo1.maven.org\maven2\org\slf4j\slf4j-log4j12\1.7.30\slf4j-log4j12-1.7.30.jar;C:\Users\marhamil\AppData\Local\Coursier\cache\v1\https\repo1.maven.org\maven2\org\spark-project\spark\unused\1.0.0\unused-1.0.0.jar;C:\Users\marhamil\AppData\Local\Coursier\cache\v1\https\repo1.maven.org\maven2\org\testng\testng\6.8.8\testng-6.8.8.jar;C:\Users\marhamil\AppData\Local\Coursier\cache\v1\https\repo1.maven.org\maven2\org\threeten\threeten-extra\1.5.0\threeten-extra-1.5.0.jar;C:\Users\marhamil\AppData\Local\Coursier\cache\v1\https\repo1.maven.org\maven2\org\tukaani\xz\1.5\xz-1.5.jar;C:\Users\marhamil\AppData\Local\Coursier\cache\v1\https\repo1.maven.org\maven2\org\typelevel\algebra_2.12\2.0.0-M2\algebra_2.12-2.0.0-M2.jar;C:\Users\marhamil\AppData\Local\Coursier\cache\v1\https\repo1.maven.org\maven2\org\typelevel\cats-kernel_2.12\2.0.0-M4\cats-kernel_2.12-2.0.0-M4.jar;C:\Users\marhamil\AppData\Local\Coursier\cache\v1\https\repo1.maven.org\maven2\org\typelevel\machinist_2.12\0.6.8\machinist_2.12-0.6.8.jar;C:\Users\marhamil\AppData\Local\Coursier\cache\v1\https\repo1.maven.org\maven2\org\typelevel\macro-compat_2.12\1.1.1\macro-compat_2.12-1.1.1.jar;C:\Users\marhamil\AppData\Local\Coursier\cache\v1\https\repo1.maven.org\maven2\org\typelevel\spire-macros_2.12\0.17.0-M1\spire-macros_2.12-0.17.0-M1.jar;C:\Users\marhamil\AppData\Local\Coursier\cache\v1\https\repo1.maven.org\maven2\org\typelevel\spire-platform_2.12\0.17.0-M1\spire-platform_2.12-0.17.0-M1.jar;C:\Users\marhamil\AppData\Local\Coursier\cache\v1\https\repo1.maven.org\maven2\org\typelevel\spire-util_2.12\0.17.0-M1\spire-util_2.12-0.17.0-M1.jar;C:\Users\marhamil\AppData\Local\Coursier\cache\v1\https\repo1.maven.org\maven2\org\typelevel\spire_2.12\0.17.0-M1\spire_2.12-0.17.0-M1.jar;C:\Users\marhamil\AppData\Local\Coursier\cache\v1\https\repo1.maven.org\maven2\org\xerial\snappy\snappy-java\1.1.7.5\snappy-java-1.1.7.5.jar;C:\Users\marhamil\AppData\Local\Coursier\cache\v1\https\repo1.maven.org\maven2\oro\oro\2.0.8\oro-2.0.8.jar;C:\Users\marhamil\AppData\Local\Coursier\cache\v1\https\repo1.maven.org\maven2\pl\edu\icm\JLargeArrays\1.5\JLargeArrays-1.5.jar;C:\Users\marhamil\AppData\Local\Coursier\cache\v1\https\repo1.maven.org\maven2\xerces\xercesImpl\2.9.1\xercesImpl-2.9.1.jar;C:\Users\marhamil\AppData\Local\Coursier\cache\v1\https\repo1.maven.org\maven2\xml-apis\xml-apis\1.3.04\xml-apis-1.3.04.jar;C:\Users\marhamil\AppData\Local\Coursier\cache\v1\https\repo1.maven.org\maven2\xmlenc\xmlenc\0.52\xmlenc-0.52.jar" org.jetbrains.plugins.scala.testingSupport.scalaTest.ScalaTestRunner -s com.microsoft.ml.spark.io.split1.JsonOutputParserSuite -testName sanityCheck -showProgressMessages true

Using Spark's default log4j profile: org/apache/spark/log4j-defaults.properties21/01/05 00:58:52 INFO SparkContext: Running Spark version 3.0.121/01/05 00:58:53 WARN NativeCodeLoader: Unable to load native-hadoop library for your platform... using builtin-java classes where applicable21/01/05 00:58:53 INFO ResourceUtils: ==============================================================21/01/05 00:58:53 INFO ResourceUtils: Resources for spark.driver:
21/01/05 00:58:53 INFO ResourceUtils: ==============================================================21/01/05 00:58:53 INFO SparkContext: Submitted application: JsonOutputParserSuite21/01/05 00:58:53 INFO SparkContext: Spark configuration:spark.app.name=JsonOutputParserSuitespark.driver.maxResultSize=6gspark.logConf=truespark.master=local[*]spark.sql.crossJoin.enabled=truespark.sql.shuffle.partitions=20spark.sql.warehouse.dir=file:/code/mmlspark/spark-warehouse21/01/05 00:58:53 INFO SecurityManager: Changing view acls to: marhamil21/01/05 00:58:53 INFO SecurityManager: Changing modify acls to: marhamil21/01/05 00:58:53 INFO SecurityManager: Changing view acls groups to: 21/01/05 00:58:53 INFO SecurityManager: Changing modify acls groups to: 21/01/05 00:58:53 INFO SecurityManager: SecurityManager: authentication disabled; ui acls disabled; users with view permissions: Set(marhamil); groups with view permissions: Set(); users with modify permissions: Set(marhamil); groups with modify permissions: Set()21/01/05 00:58:54 INFO Utils: Successfully started service 'sparkDriver' on port 56701.21/01/05 00:58:54 INFO SparkEnv: Registering MapOutputTracker21/01/05 00:58:54 INFO SparkEnv: Registering BlockManagerMaster21/01/05 00:58:54 INFO BlockManagerMasterEndpoint: Using org.apache.spark.storage.DefaultTopologyMapper for getting topology information21/01/05 00:58:54 INFO BlockManagerMasterEndpoint: BlockManagerMasterEndpoint up21/01/05 00:58:54 INFO SparkEnv: Registering BlockManagerMasterHeartbeat21/01/05 00:58:54 INFO DiskBlockManager: Created local directory at C:\Users\marhamil\AppData\Local\Temp\blockmgr-3dfa3260-d9b6-481d-8aa3-b64e30ce23ed21/01/05 00:58:54 INFO MemoryStore: MemoryStore started with capacity 4.0 GiB21/01/05 00:58:54 INFO SparkEnv: Registering OutputCommitCoordinator21/01/05 00:58:54 INFO Utils: Successfully started service 'SparkUI' on port 4040.21/01/05 00:58:55 INFO SparkUI: Bound SparkUI to 0.0.0.0, and started at http://host.docker.internal:404021/01/05 00:58:55 INFO Executor: Starting executor ID driver on host host.docker.internal21/01/05 00:58:55 INFO Utils: Successfully started service 'org.apache.spark.network.netty.NettyBlockTransferService' on port 56746.21/01/05 00:58:55 INFO NettyBlockTransferService: Server created on host.docker.internal:5674621/01/05 00:58:55 INFO BlockManager: Using org.apache.spark.storage.RandomBlockReplicationPolicy for block replication policy21/01/05 00:58:55 INFO BlockManagerMaster: Registering BlockManager BlockManagerId(driver, host.docker.internal, 56746, None)21/01/05 00:58:55 INFO BlockManagerMasterEndpoint: Registering block manager host.docker.internal:56746 with 4.0 GiB RAM, BlockManagerId(driver, host.docker.internal, 56746, None)21/01/05 00:58:55 INFO BlockManagerMaster: Registered BlockManager BlockManagerId(driver, host.docker.internal, 56746, None)21/01/05 00:58:55 INFO BlockManager: Initialized BlockManager: BlockManagerId(driver, host.docker.internal, 56746, None)21/01/05 00:58:55 WARN SharedState: Not allowing to set spark.sql.warehouse.dir or hive.metastore.warehouse.dir in SparkSession's options, it should be set statically for cross-session usages

Failed to execute user defined function(JsonOutputParserSuite$$Lambda$574/51376124: (struct<a:int>) => struct<a:int>)org.apache.spark.SparkException: Failed to execute user defined function(JsonOutputParserSuite$$Lambda$574/51376124: (struct<a:int>) => struct<a:int>) at org.apache.spark.sql.catalyst.expressions.ScalaUDF.eval(ScalaUDF.scala:1130) at org.apache.spark.sql.catalyst.expressions.Alias.eval(namedExpressions.scala:156) at org.apache.spark.sql.catalyst.expressions.InterpretedMutableProjection.apply(InterpretedMutableProjection.scala:83) at org.apache.spark.sql.catalyst.optimizer.ConvertToLocalRelation$$anonfun$apply$17.$anonfun$applyOrElse$71(Optimizer.scala:1508) at scala.collection.TraversableLike.$anonfun$map$1(TraversableLike.scala:238) at scala.collection.Iterator.foreach(Iterator.scala:941) at scala.collection.Iterator.foreach$(Iterator.scala:941) at scala.collection.AbstractIterator.foreach(Iterator.scala:1429) at scala.collection.IterableLike.foreach(IterableLike.scala:74) at scala.collection.IterableLike.foreach$(IterableLike.scala:73) at scala.collection.AbstractIterable.foreach(Iterable.scala:56) at scala.collection.TraversableLike.map(TraversableLike.scala:238) at scala.collection.TraversableLike.map$(TraversableLike.scala:231) at scala.collection.AbstractTraversable.map(Traversable.scala:108) at org.apache.spark.sql.catalyst.optimizer.ConvertToLocalRelation$$anonfun$apply$17.applyOrElse(Optimizer.scala:1508) at org.apache.spark.sql.catalyst.optimizer.ConvertToLocalRelation$$anonfun$apply$17.applyOrElse(Optimizer.scala:1503) at org.apache.spark.sql.catalyst.trees.TreeNode.$anonfun$transformDown$1(TreeNode.scala:309) at org.apache.spark.sql.catalyst.trees.CurrentOrigin$.withOrigin(TreeNode.scala:72) at org.apache.spark.sql.catalyst.trees.TreeNode.transformDown(TreeNode.scala:309) at org.apache.spark.sql.catalyst.plans.logical.LogicalPlan.org$apache$spark$sql$catalyst$plans$logical$AnalysisHelper$$super$transformDown(LogicalPlan.scala:29) at org.apache.spark.sql.catalyst.plans.logical.AnalysisHelper.transformDown(AnalysisHelper.scala:149) at org.apache.spark.sql.catalyst.plans.logical.AnalysisHelper.transformDown$(AnalysisHelper.scala:147) at org.apache.spark.sql.catalyst.plans.logical.LogicalPlan.transformDown(LogicalPlan.scala:29) at org.apache.spark.sql.catalyst.plans.logical.LogicalPlan.transformDown(LogicalPlan.scala:29) at org.apache.spark.sql.catalyst.trees.TreeNode.$anonfun$transformDown$3(TreeNode.scala:314) at org.apache.spark.sql.catalyst.trees.TreeNode.$anonfun$mapChildren$1(TreeNode.scala:399) at org.apache.spark.sql.catalyst.trees.TreeNode.mapProductIterator(TreeNode.scala:237) at org.apache.spark.sql.catalyst.trees.TreeNode.mapChildren(TreeNode.scala:397) at org.apache.spark.sql.catalyst.trees.TreeNode.mapChildren(TreeNode.scala:350) at org.apache.spark.sql.catalyst.trees.TreeNode.transformDown(TreeNode.scala:314) at org.apache.spark.sql.catalyst.plans.logical.LogicalPlan.org$apache$spark$sql$catalyst$plans$logical$AnalysisHelper$$super$transformDown(LogicalPlan.scala:29) at org.apache.spark.sql.catalyst.plans.logical.AnalysisHelper.transformDown(AnalysisHelper.scala:149) at org.apache.spark.sql.catalyst.plans.logical.AnalysisHelper.transformDown$(AnalysisHelper.scala:147) at org.apache.spark.sql.catalyst.plans.logical.LogicalPlan.transformDown(LogicalPlan.scala:29) at org.apache.spark.sql.catalyst.plans.logical.LogicalPlan.transformDown(LogicalPlan.scala:29) at org.apache.spark.sql.catalyst.trees.TreeNode.$anonfun$transformDown$3(TreeNode.scala:314) at org.apache.spark.sql.catalyst.trees.TreeNode.$anonfun$mapChildren$1(TreeNode.scala:399) at org.apache.spark.sql.catalyst.trees.TreeNode.mapProductIterator(TreeNode.scala:237) at org.apache.spark.sql.catalyst.trees.TreeNode.mapChildren(TreeNode.scala:397) at org.apache.spark.sql.catalyst.trees.TreeNode.mapChildren(TreeNode.scala:350) at org.apache.spark.sql.catalyst.trees.TreeNode.transformDown(TreeNode.scala:314) at org.apache.spark.sql.catalyst.plans.logical.LogicalPlan.org$apache$spark$sql$catalyst$plans$logical$AnalysisHelper$$super$transformDown(LogicalPlan.scala:29) at org.apache.spark.sql.catalyst.plans.logical.AnalysisHelper.transformDown(AnalysisHelper.scala:149) at org.apache.spark.sql.catalyst.plans.logical.AnalysisHelper.transformDown$(AnalysisHelper.scala:147) at org.apache.spark.sql.catalyst.plans.logical.LogicalPlan.transformDown(LogicalPlan.scala:29) at org.apache.spark.sql.catalyst.plans.logical.LogicalPlan.transformDown(LogicalPlan.scala:29) at org.apache.spark.sql.catalyst.trees.TreeNode.$anonfun$transformDown$3(TreeNode.scala:314) at org.apache.spark.sql.catalyst.trees.TreeNode.$anonfun$mapChildren$1(TreeNode.scala:399) at org.apache.spark.sql.catalyst.trees.TreeNode.mapProductIterator(TreeNode.scala:237) at org.apache.spark.sql.catalyst.trees.TreeNode.mapChildren(TreeNode.scala:397) at org.apache.spark.sql.catalyst.trees.TreeNode.mapChildren(TreeNode.scala:350) at org.apache.spark.sql.catalyst.trees.TreeNode.transformDown(TreeNode.scala:314) at org.apache.spark.sql.catalyst.plans.logical.LogicalPlan.org$apache$spark$sql$catalyst$plans$logical$AnalysisHelper$$super$transformDown(LogicalPlan.scala:29) at org.apache.spark.sql.catalyst.plans.logical.AnalysisHelper.transformDown(AnalysisHelper.scala:149) at org.apache.spark.sql.catalyst.plans.logical.AnalysisHelper.transformDown$(AnalysisHelper.scala:147) at org.apache.spark.sql.catalyst.plans.logical.LogicalPlan.transformDown(LogicalPlan.scala:29) at org.apache.spark.sql.catalyst.plans.logical.LogicalPlan.transformDown(LogicalPlan.scala:29) at org.apache.spark.sql.catalyst.trees.TreeNode.transform(TreeNode.scala:298) at org.apache.spark.sql.catalyst.optimizer.ConvertToLocalRelation$.apply(Optimizer.scala:1503) at org.apache.spark.sql.catalyst.optimizer.ConvertToLocalRelation$.apply(Optimizer.scala:1502) at org.apache.spark.sql.catalyst.rules.RuleExecutor.$anonfun$execute$2(RuleExecutor.scala:149) at scala.collection.IndexedSeqOptimized.foldLeft(IndexedSeqOptimized.scala:60) at scala.collection.IndexedSeqOptimized.foldLeft$(IndexedSeqOptimized.scala:68) at scala.collection.mutable.WrappedArray.foldLeft(WrappedArray.scala:38) at org.apache.spark.sql.catalyst.rules.RuleExecutor.$anonfun$execute$1(RuleExecutor.scala:146) at org.apache.spark.sql.catalyst.rules.RuleExecutor.$anonfun$execute$1$adapted(RuleExecutor.scala:138) at scala.collection.immutable.List.foreach(List.scala:392) at org.apache.spark.sql.catalyst.rules.RuleExecutor.execute(RuleExecutor.scala:138) at org.apache.spark.sql.catalyst.rules.RuleExecutor.$anonfun$executeAndTrack$1(RuleExecutor.scala:116) at org.apache.spark.sql.catalyst.QueryPlanningTracker$.withTracker(QueryPlanningTracker.scala:88) at org.apache.spark.sql.catalyst.rules.RuleExecutor.executeAndTrack(RuleExecutor.scala:116) at org.apache.spark.sql.execution.QueryExecution.$anonfun$optimizedPlan$1(QueryExecution.scala:82) at org.apache.spark.sql.catalyst.QueryPlanningTracker.measurePhase(QueryPlanningTracker.scala:111) at org.apache.spark.sql.execution.QueryExecution.$anonfun$executePhase$1(QueryExecution.scala:133) at org.apache.spark.sql.SparkSession.withActive(SparkSession.scala:764) at org.apache.spark.sql.execution.QueryExecution.executePhase(QueryExecution.scala:133) at org.apache.spark.sql.execution.QueryExecution.optimizedPlan$lzycompute(QueryExecution.scala:82) at org.apache.spark.sql.execution.QueryExecution.optimizedPlan(QueryExecution.scala:79) at org.apache.spark.sql.execution.QueryExecution.$anonfun$writePlans$4(QueryExecution.scala:197) at org.apache.spark.sql.catalyst.plans.QueryPlan$.append(QueryPlan.scala:381) at org.apache.spark.sql.execution.QueryExecution.org$apache$spark$sql$execution$QueryExecution$$writePlans(QueryExecution.scala:197) at org.apache.spark.sql.execution.QueryExecution.toString(QueryExecution.scala:207) at org.apache.spark.sql.execution.SQLExecution$.$anonfun$withNewExecutionId$5(SQLExecution.scala:95) at org.apache.spark.sql.execution.SQLExecution$.withSQLConfPropagated(SQLExecution.scala:160) at org.apache.spark.sql.execution.SQLExecution$.$anonfun$withNewExecutionId$1(SQLExecution.scala:87) at org.apache.spark.sql.SparkSession.withActive(SparkSession.scala:764) at org.apache.spark.sql.execution.SQLExecution$.withNewExecutionId(SQLExecution.scala:64) at org.apache.spark.sql.Dataset.withAction(Dataset.scala:3616) at org.apache.spark.sql.Dataset.head(Dataset.scala:2697) at org.apache.spark.sql.Dataset.take(Dataset.scala:2904) at org.apache.spark.sql.Dataset.getRows(Dataset.scala:300) at org.apache.spark.sql.Dataset.showString(Dataset.scala:337) at org.apache.spark.sql.Dataset.show(Dataset.scala:824) at org.apache.spark.sql.Dataset.show(Dataset.scala:783) at org.apache.spark.sql.Dataset.show(Dataset.scala:792) at com.microsoft.ml.spark.io.split1.JsonOutputParserSuite.$anonfun$new$1(ParserSuite.scala:84) at scala.runtime.java8.JFunction0$mcV$sp.apply(JFunction0$mcV$sp.java:23) at org.scalatest.OutcomeOf.outcomeOf(OutcomeOf.scala:85) at org.scalatest.OutcomeOf.outcomeOf$(OutcomeOf.scala:83) at org.scalatest.OutcomeOf$.outcomeOf(OutcomeOf.scala:104) at org.scalatest.Transformer.apply(Transformer.scala:22) at org.scalatest.Transformer.apply(Transformer.scala:20) at org.scalatest.FunSuiteLike$$anon$1.apply(FunSuiteLike.scala:186) at org.scalatest.TestSuite.withFixture(TestSuite.scala:196) at org.scalatest.TestSuite.withFixture$(TestSuite.scala:195) at org.scalatest.FunSuite.withFixture(FunSuite.scala:1560) at org.scalatest.FunSuiteLike.invokeWithFixture$1(FunSuiteLike.scala:184) at org.scalatest.FunSuiteLike.$anonfun$runTest$1(FunSuiteLike.scala:196) at org.scalatest.SuperEngine.runTestImpl(Engine.scala:289) at org.scalatest.FunSuiteLike.runTest(FunSuiteLike.scala:196) at org.scalatest.FunSuiteLike.runTest$(FunSuiteLike.scala:178) at com.microsoft.ml.spark.core.test.base.TestBase.org$scalatest$BeforeAndAfterEachTestData$$super$runTest(TestBase.scala:74) at org.scalatest.BeforeAndAfterEachTestData.runTest(BeforeAndAfterEachTestData.scala:194) at org.scalatest.BeforeAndAfterEachTestData.runTest$(BeforeAndAfterEachTestData.scala:187) at com.microsoft.ml.spark.core.test.base.TestBase.runTest(TestBase.scala:74) at org.scalatest.FunSuiteLike.$anonfun$runTests$1(FunSuiteLike.scala:229) at org.scalatest.SuperEngine.$anonfun$runTestsInBranch$1(Engine.scala:396) at scala.collection.immutable.List.foreach(List.scala:392) at org.scalatest.SuperEngine.traverseSubNodes$1(Engine.scala:384) at org.scalatest.SuperEngine.runTestsInBranch(Engine.scala:379) at org.scalatest.SuperEngine.runTestsImpl(Engine.scala:461) at org.scalatest.FunSuiteLike.runTests(FunSuiteLike.scala:229) at org.scalatest.FunSuiteLike.runTests$(FunSuiteLike.scala:228) at org.scalatest.FunSuite.runTests(FunSuite.scala:1560) at org.scalatest.Suite.run(Suite.scala:1147) at org.scalatest.Suite.run$(Suite.scala:1129) at org.scalatest.FunSuite.org$scalatest$FunSuiteLike$$super$run(FunSuite.scala:1560) at org.scalatest.FunSuiteLike.$anonfun$run$1(FunSuiteLike.scala:233) at org.scalatest.SuperEngine.runImpl(Engine.scala:521) at org.scalatest.FunSuiteLike.run(FunSuiteLike.scala:233) at org.scalatest.FunSuiteLike.run$(FunSuiteLike.scala:232) at com.microsoft.ml.spark.core.test.base.TestBase.org$scalatest$BeforeAndAfterAll$$super$run(TestBase.scala:74) at org.scalatest.BeforeAndAfterAll.liftedTree1$1(BeforeAndAfterAll.scala:213) at org.scalatest.BeforeAndAfterAll.run(BeforeAndAfterAll.scala:210) at org.scalatest.BeforeAndAfterAll.run$(BeforeAndAfterAll.scala:208) at com.microsoft.ml.spark.core.test.base.TestBase.run(TestBase.scala:74) at org.scalatest.tools.SuiteRunner.run(SuiteRunner.scala:45) at org.scalatest.tools.Runner$.$anonfun$doRunRunRunDaDoRunRun$13(Runner.scala:1346) at org.scalatest.tools.Runner$.$anonfun$doRunRunRunDaDoRunRun$13$adapted(Runner.scala:1340) at scala.collection.immutable.List.foreach(List.scala:392) at org.scalatest.tools.Runner$.doRunRunRunDaDoRunRun(Runner.scala:1340) at org.scalatest.tools.Runner$.$anonfun$runOptionallyWithPassFailReporter$24(Runner.scala:1031) at org.scalatest.tools.Runner$.$anonfun$runOptionallyWithPassFailReporter$24$adapted(Runner.scala:1010) at org.scalatest.tools.Runner$.withClassLoaderAndDispatchReporter(Runner.scala:1506) at org.scalatest.tools.Runner$.runOptionallyWithPassFailReporter(Runner.scala:1010) at org.scalatest.tools.Runner$.run(Runner.scala:850) at org.scalatest.tools.Runner.run(Runner.scala) at org.jetbrains.plugins.scala.testingSupport.scalaTest.ScalaTestRunner.runScalaTest2or3(ScalaTestRunner.java:41) at org.jetbrains.plugins.scala.testingSupport.scalaTest.ScalaTestRunner.main(ScalaTestRunner.java:28)Caused by: java.lang.RuntimeException: Error while decoding: java.lang.NullPointerExceptionnewInstance(class com.microsoft.ml.spark.io.split1.Bar) at org.apache.spark.sql.catalyst.encoders.ExpressionEncoder$Deserializer.apply(ExpressionEncoder.scala:188) at org.apache.spark.sql.catalyst.expressions.ScalaUDF.$anonfun$createToScalaConverter$1(ScalaUDF.scala:115) at org.apache.spark.sql.catalyst.expressions.ScalaUDF.$anonfun$f$2(ScalaUDF.scala:157) at org.apache.spark.sql.catalyst.expressions.ScalaUDF.eval(ScalaUDF.scala:1127) ... 148 moreCaused by: java.lang.NullPointerException at org.apache.spark.sql.catalyst.expressions.GeneratedClass$SpecificSafeProjection.apply(Unknown Source) at org.apache.spark.sql.catalyst.encoders.ExpressionEncoder$Deserializer.apply(ExpressionEncoder.scala:184) ... 151 more
Info Provided - Suite JsonOutputParserSuite took 7.715sInfo Provided - Shutting down spark session
Creating a spark session for suite JsonOutputParserSuite

Process finished with exit code 0

Expected output when cache is uncommented:

+---+----+----+
| c0|  c1|  c2|
+---+----+----+
|[1]|null|null|
|[1]|null|null|
|[1]|null|null|
|[1]|null|null|
|[1]|null|null|
|[1]|null|null|
|[1]|null|null|
|[1]|null|null|
|[1]|null|null|
|[1]|null|null|
+---+----+----+

Attachments

Issue Links

is caused by

SPARK-32154 Use ExpressionEncoder for the return type of ScalaUDF to convert to catalyst type

Resolved

links to

[Github] Pull Request #31103 (viirya)

Activity

People

Assignee:: L. C. Hsieh

Reporter:: Mark Hamilton

Votes:: 0 Vote for this issue

Watchers:: 6 Start watching this issue

Dates

Created:: 05/Jan/21 05:54

Updated:: 11/Jan/21 19:32

Resolved:: 11/Jan/21 19:32