Good to know, thanks. On Mon, Feb 1, 2016 at 6:57 PM, Ted Yu <yuzhih...@gmail.com> wrote:
> Got around the previous error by adding: > > scala> implicit val kryoEncoder = Encoders.kryo[RecordExample] > kryoEncoder: org.apache.spark.sql.Encoder[RecordExample] = class[value[0]: > binary] > > On Mon, Feb 1, 2016 at 9:55 AM, Alexandr Dzhagriev <dzh...@gmail.com> > wrote: > >> Hi, >> >> That's another thing: that the Record case class should be outside. I ran >> it as spark-submit. >> >> Thanks, Alex. >> >> On Mon, Feb 1, 2016 at 6:41 PM, Ted Yu <yuzhih...@gmail.com> wrote: >> >>> Running your sample in spark-shell built in master branch, I got: >>> >>> scala> val dataset = sc.parallelize(Seq(RecordExample(1, "apple"), >>> RecordExample(2, "orange"))).toDS() >>> org.apache.spark.sql.AnalysisException: Unable to generate an encoder >>> for inner class `RecordExample` without access to the scope that this class >>> was defined in. Try moving this class out of its parent class.; >>> at >>> org.apache.spark.sql.catalyst.encoders.ExpressionEncoder$$anonfun$3.applyOrElse(ExpressionEncoder.scala:316) >>> at >>> org.apache.spark.sql.catalyst.encoders.ExpressionEncoder$$anonfun$3.applyOrElse(ExpressionEncoder.scala:312) >>> at >>> org.apache.spark.sql.catalyst.trees.TreeNode$$anonfun$3.apply(TreeNode.scala:262) >>> at >>> org.apache.spark.sql.catalyst.trees.TreeNode$$anonfun$3.apply(TreeNode.scala:262) >>> at >>> org.apache.spark.sql.catalyst.trees.CurrentOrigin$.withOrigin(TreeNode.scala:70) >>> at >>> org.apache.spark.sql.catalyst.trees.TreeNode.transformDown(TreeNode.scala:261) >>> at >>> org.apache.spark.sql.catalyst.trees.TreeNode.transform(TreeNode.scala:251) >>> at >>> org.apache.spark.sql.catalyst.encoders.ExpressionEncoder.resolve(ExpressionEncoder.scala:312) >>> at org.apache.spark.sql.Dataset.<init>(Dataset.scala:80) >>> at org.apache.spark.sql.Dataset.<init>(Dataset.scala:91) >>> at org.apache.spark.sql.SQLContext.createDataset(SQLContext.scala:488) >>> at >>> org.apache.spark.sql.SQLImplicits.rddToDatasetHolder(SQLImplicits.scala:71) >>> ... 53 elided >>> >>> On Mon, Feb 1, 2016 at 9:09 AM, Alexandr Dzhagriev <dzh...@gmail.com> >>> wrote: >>> >>>> Hello again, >>>> >>>> Also I've tried the following snippet with concat_ws: >>>> >>>> val dataset = sc.parallelize(Seq( >>>> RecordExample(1, "apple"), >>>> RecordExample(1, "banana"), >>>> RecordExample(2, "orange")) >>>> ).toDS().groupBy($"a").agg(concat_ws(",", $"b").as[String]) >>>> >>>> dataset.take(10).foreach(println) >>>> >>>> >>>> which also fails >>>> >>>> Exception in thread "main" org.apache.spark.sql.AnalysisException: >>>> expression 'b' is neither present in the group by, nor is it an aggregate >>>> function. Add to group by or wrap in first() (or first_value) if you don't >>>> care which value you get.; >>>> at >>>> org.apache.spark.sql.catalyst.analysis.CheckAnalysis$class.failAnalysis(CheckAnalysis.scala:38) >>>> at >>>> org.apache.spark.sql.catalyst.analysis.Analyzer.failAnalysis(Analyzer.scala:44) >>>> at >>>> org.apache.spark.sql.catalyst.analysis.CheckAnalysis$$anonfun$checkAnalysis$ >>>> 1.org >>>> $apache$spark$sql$catalyst$analysis$CheckAnalysis$class$$anonfun$$checkValidAggregateExpression$1(CheckAnalysis.scala:130) >>>> >>>> Thanks, Alex. >>>> >>>> On Mon, Feb 1, 2016 at 6:03 PM, Alexandr Dzhagriev <dzh...@gmail.com> >>>> wrote: >>>> >>>>> Hi Ted, >>>>> >>>>> That doesn't help neither as one method delegates to another as far as >>>>> I can see: >>>>> >>>>> def collect_list(columnName: String): Column = >>>>> collect_list(Column(columnName)) >>>>> >>>>> >>>>> Thanks, Alex >>>>> >>>>> On Mon, Feb 1, 2016 at 5:55 PM, Ted Yu <yuzhih...@gmail.com> wrote: >>>>> >>>>>> bq. agg(collect_list("b") >>>>>> >>>>>> Have you tried: >>>>>> >>>>>> agg(collect_list($"b") >>>>>> >>>>>> On Mon, Feb 1, 2016 at 8:50 AM, Alexandr Dzhagriev <dzh...@gmail.com> >>>>>> wrote: >>>>>> >>>>>>> Hello, >>>>>>> >>>>>>> I'm trying to run the following example code: >>>>>>> >>>>>>> import org.apache.spark.sql.hive.HiveContext >>>>>>> import org.apache.spark.{SparkContext, SparkConf} >>>>>>> import org.apache.spark.sql.functions._ >>>>>>> >>>>>>> >>>>>>> case class RecordExample(a: Int, b: String) >>>>>>> >>>>>>> object ArrayExample { >>>>>>> def main(args: Array[String]) { >>>>>>> val conf = new SparkConf() >>>>>>> >>>>>>> val sc = new SparkContext(conf) >>>>>>> val sqlContext = new HiveContext(sc) >>>>>>> >>>>>>> import sqlContext.implicits._ >>>>>>> >>>>>>> val dataset = sc.parallelize(Seq(RecordExample(1, "apple"), >>>>>>> RecordExample(2, "orange"))).toDS() >>>>>>> >>>>>>> dataset.groupBy($"a").agg(collect_list("b").as[List[String]]) >>>>>>> >>>>>>> dataset.collect() >>>>>>> >>>>>>> } >>>>>>> >>>>>>> } >>>>>>> >>>>>>> >>>>>>> and it fails with the following (please see the whole stack trace >>>>>>> below): >>>>>>> >>>>>>> Exception in thread "main" java.lang.ClassCastException: >>>>>>> org.apache.spark.sql.types.ArrayType cannot be cast to >>>>>>> org.apache.spark.sql.types.StructType >>>>>>> >>>>>>> >>>>>>> Could please someone point me to the proper way to do that or >>>>>>> confirm it's a bug? >>>>>>> >>>>>>> Thank you and here is the whole stacktrace: >>>>>>> >>>>>>> Exception in thread "main" java.lang.ClassCastException: >>>>>>> org.apache.spark.sql.types.ArrayType cannot be cast to >>>>>>> org.apache.spark.sql.types.StructType >>>>>>> at org.apache.spark.sql.catalyst.expressions.GetStructField.org >>>>>>> $apache$spark$sql$catalyst$expressions$GetStructField$$field$lzycompute(complexTypeExtractors.scala:107) >>>>>>> at org.apache.spark.sql.catalyst.expressions.GetStructField.org >>>>>>> $apache$spark$sql$catalyst$expressions$GetStructField$$field(complexTypeExtractors.scala:107) >>>>>>> at >>>>>>> org.apache.spark.sql.catalyst.expressions.GetStructField.dataType(complexTypeExtractors.scala:109) >>>>>>> at >>>>>>> org.apache.spark.sql.catalyst.analysis.ResolveUpCast$$anonfun$apply$24.applyOrElse(Analyzer.scala:1214) >>>>>>> at >>>>>>> org.apache.spark.sql.catalyst.analysis.ResolveUpCast$$anonfun$apply$24.applyOrElse(Analyzer.scala:1211) >>>>>>> at >>>>>>> org.apache.spark.sql.catalyst.trees.TreeNode$$anonfun$3.apply(TreeNode.scala:243) >>>>>>> at >>>>>>> org.apache.spark.sql.catalyst.trees.TreeNode$$anonfun$3.apply(TreeNode.scala:243) >>>>>>> at >>>>>>> org.apache.spark.sql.catalyst.trees.CurrentOrigin$.withOrigin(TreeNode.scala:53) >>>>>>> at >>>>>>> org.apache.spark.sql.catalyst.trees.TreeNode.transformDown(TreeNode.scala:242) >>>>>>> at >>>>>>> org.apache.spark.sql.catalyst.trees.TreeNode$$anonfun$transformDown$1.apply(TreeNode.scala:248) >>>>>>> at >>>>>>> org.apache.spark.sql.catalyst.trees.TreeNode$$anonfun$transformDown$1.apply(TreeNode.scala:248) >>>>>>> at >>>>>>> org.apache.spark.sql.catalyst.trees.TreeNode$$anonfun$4.apply(TreeNode.scala:265) >>>>>>> at scala.collection.Iterator$$anon$11.next(Iterator.scala:370) >>>>>>> at scala.collection.Iterator$class.foreach(Iterator.scala:742) >>>>>>> at scala.collection.AbstractIterator.foreach(Iterator.scala:1194) >>>>>>> at >>>>>>> scala.collection.generic.Growable$class.$plus$plus$eq(Growable.scala:59) >>>>>>> at >>>>>>> scala.collection.mutable.ArrayBuffer.$plus$plus$eq(ArrayBuffer.scala:104) >>>>>>> at >>>>>>> scala.collection.mutable.ArrayBuffer.$plus$plus$eq(ArrayBuffer.scala:48) >>>>>>> at scala.collection.TraversableOnce$class.to >>>>>>> (TraversableOnce.scala:308) >>>>>>> at scala.collection.AbstractIterator.to(Iterator.scala:1194) >>>>>>> at >>>>>>> scala.collection.TraversableOnce$class.toBuffer(TraversableOnce.scala:300) >>>>>>> at scala.collection.AbstractIterator.toBuffer(Iterator.scala:1194) >>>>>>> at >>>>>>> scala.collection.TraversableOnce$class.toArray(TraversableOnce.scala:287) >>>>>>> at scala.collection.AbstractIterator.toArray(Iterator.scala:1194) >>>>>>> at >>>>>>> org.apache.spark.sql.catalyst.trees.TreeNode.transformChildren(TreeNode.scala:305) >>>>>>> at >>>>>>> org.apache.spark.sql.catalyst.trees.TreeNode.transformDown(TreeNode.scala:248) >>>>>>> at >>>>>>> org.apache.spark.sql.catalyst.trees.TreeNode$$anonfun$transformDown$1.apply(TreeNode.scala:248) >>>>>>> at >>>>>>> org.apache.spark.sql.catalyst.trees.TreeNode$$anonfun$transformDown$1.apply(TreeNode.scala:248) >>>>>>> at >>>>>>> org.apache.spark.sql.catalyst.trees.TreeNode$$anonfun$4.apply(TreeNode.scala:265) >>>>>>> at scala.collection.Iterator$$anon$11.next(Iterator.scala:370) >>>>>>> at scala.collection.Iterator$class.foreach(Iterator.scala:742) >>>>>>> at scala.collection.AbstractIterator.foreach(Iterator.scala:1194) >>>>>>> at >>>>>>> scala.collection.generic.Growable$class.$plus$plus$eq(Growable.scala:59) >>>>>>> at >>>>>>> scala.collection.mutable.ArrayBuffer.$plus$plus$eq(ArrayBuffer.scala:104) >>>>>>> at >>>>>>> scala.collection.mutable.ArrayBuffer.$plus$plus$eq(ArrayBuffer.scala:48) >>>>>>> at scala.collection.TraversableOnce$class.to >>>>>>> (TraversableOnce.scala:308) >>>>>>> at scala.collection.AbstractIterator.to(Iterator.scala:1194) >>>>>>> at >>>>>>> scala.collection.TraversableOnce$class.toBuffer(TraversableOnce.scala:300) >>>>>>> at scala.collection.AbstractIterator.toBuffer(Iterator.scala:1194) >>>>>>> at >>>>>>> scala.collection.TraversableOnce$class.toArray(TraversableOnce.scala:287) >>>>>>> at scala.collection.AbstractIterator.toArray(Iterator.scala:1194) >>>>>>> at >>>>>>> org.apache.spark.sql.catalyst.trees.TreeNode.transformChildren(TreeNode.scala:305) >>>>>>> at >>>>>>> org.apache.spark.sql.catalyst.trees.TreeNode.transformDown(TreeNode.scala:248) >>>>>>> at >>>>>>> org.apache.spark.sql.catalyst.trees.TreeNode$$anonfun$transformDown$1.apply(TreeNode.scala:248) >>>>>>> at >>>>>>> org.apache.spark.sql.catalyst.trees.TreeNode$$anonfun$transformDown$1.apply(TreeNode.scala:248) >>>>>>> at >>>>>>> org.apache.spark.sql.catalyst.trees.TreeNode$$anonfun$4$$anonfun$apply$9.apply(TreeNode.scala:294) >>>>>>> at >>>>>>> scala.collection.TraversableLike$$anonfun$map$1.apply(TraversableLike.scala:245) >>>>>>> at >>>>>>> scala.collection.TraversableLike$$anonfun$map$1.apply(TraversableLike.scala:245) >>>>>>> at scala.collection.immutable.List.foreach(List.scala:381) >>>>>>> at >>>>>>> scala.collection.TraversableLike$class.map(TraversableLike.scala:245) >>>>>>> at scala.collection.immutable.List.map(List.scala:285) >>>>>>> at >>>>>>> org.apache.spark.sql.catalyst.trees.TreeNode$$anonfun$4.apply(TreeNode.scala:292) >>>>>>> at scala.collection.Iterator$$anon$11.next(Iterator.scala:370) >>>>>>> at scala.collection.Iterator$class.foreach(Iterator.scala:742) >>>>>>> at scala.collection.AbstractIterator.foreach(Iterator.scala:1194) >>>>>>> at >>>>>>> scala.collection.generic.Growable$class.$plus$plus$eq(Growable.scala:59) >>>>>>> at >>>>>>> scala.collection.mutable.ArrayBuffer.$plus$plus$eq(ArrayBuffer.scala:104) >>>>>>> at >>>>>>> scala.collection.mutable.ArrayBuffer.$plus$plus$eq(ArrayBuffer.scala:48) >>>>>>> at scala.collection.TraversableOnce$class.to >>>>>>> (TraversableOnce.scala:308) >>>>>>> at scala.collection.AbstractIterator.to(Iterator.scala:1194) >>>>>>> at >>>>>>> scala.collection.TraversableOnce$class.toBuffer(TraversableOnce.scala:300) >>>>>>> at scala.collection.AbstractIterator.toBuffer(Iterator.scala:1194) >>>>>>> at >>>>>>> scala.collection.TraversableOnce$class.toArray(TraversableOnce.scala:287) >>>>>>> at scala.collection.AbstractIterator.toArray(Iterator.scala:1194) >>>>>>> at >>>>>>> org.apache.spark.sql.catalyst.trees.TreeNode.transformChildren(TreeNode.scala:305) >>>>>>> at >>>>>>> org.apache.spark.sql.catalyst.trees.TreeNode.transformDown(TreeNode.scala:248) >>>>>>> at >>>>>>> org.apache.spark.sql.catalyst.trees.TreeNode$$anonfun$transformDown$1.apply(TreeNode.scala:248) >>>>>>> at >>>>>>> org.apache.spark.sql.catalyst.trees.TreeNode$$anonfun$transformDown$1.apply(TreeNode.scala:248) >>>>>>> at >>>>>>> org.apache.spark.sql.catalyst.trees.TreeNode$$anonfun$4$$anonfun$apply$9.apply(TreeNode.scala:294) >>>>>>> at >>>>>>> scala.collection.TraversableLike$$anonfun$map$1.apply(TraversableLike.scala:245) >>>>>>> at >>>>>>> scala.collection.TraversableLike$$anonfun$map$1.apply(TraversableLike.scala:245) >>>>>>> at >>>>>>> scala.collection.mutable.ResizableArray$class.foreach(ResizableArray.scala:59) >>>>>>> at scala.collection.mutable.ArrayBuffer.foreach(ArrayBuffer.scala:48) >>>>>>> at >>>>>>> scala.collection.TraversableLike$class.map(TraversableLike.scala:245) >>>>>>> at scala.collection.AbstractTraversable.map(Traversable.scala:104) >>>>>>> at >>>>>>> org.apache.spark.sql.catalyst.trees.TreeNode$$anonfun$4.apply(TreeNode.scala:292) >>>>>>> at scala.collection.Iterator$$anon$11.next(Iterator.scala:370) >>>>>>> at scala.collection.Iterator$class.foreach(Iterator.scala:742) >>>>>>> at scala.collection.AbstractIterator.foreach(Iterator.scala:1194) >>>>>>> at >>>>>>> scala.collection.generic.Growable$class.$plus$plus$eq(Growable.scala:59) >>>>>>> at >>>>>>> scala.collection.mutable.ArrayBuffer.$plus$plus$eq(ArrayBuffer.scala:104) >>>>>>> at >>>>>>> scala.collection.mutable.ArrayBuffer.$plus$plus$eq(ArrayBuffer.scala:48) >>>>>>> at scala.collection.TraversableOnce$class.to >>>>>>> (TraversableOnce.scala:308) >>>>>>> at scala.collection.AbstractIterator.to(Iterator.scala:1194) >>>>>>> at >>>>>>> scala.collection.TraversableOnce$class.toBuffer(TraversableOnce.scala:300) >>>>>>> at scala.collection.AbstractIterator.toBuffer(Iterator.scala:1194) >>>>>>> at >>>>>>> scala.collection.TraversableOnce$class.toArray(TraversableOnce.scala:287) >>>>>>> at scala.collection.AbstractIterator.toArray(Iterator.scala:1194) >>>>>>> at >>>>>>> org.apache.spark.sql.catalyst.trees.TreeNode.transformChildren(TreeNode.scala:305) >>>>>>> at >>>>>>> org.apache.spark.sql.catalyst.trees.TreeNode.transformDown(TreeNode.scala:248) >>>>>>> at >>>>>>> org.apache.spark.sql.catalyst.trees.TreeNode$$anonfun$transformDown$1.apply(TreeNode.scala:248) >>>>>>> at >>>>>>> org.apache.spark.sql.catalyst.trees.TreeNode$$anonfun$transformDown$1.apply(TreeNode.scala:248) >>>>>>> at >>>>>>> org.apache.spark.sql.catalyst.trees.TreeNode$$anonfun$4.apply(TreeNode.scala:265) >>>>>>> at scala.collection.Iterator$$anon$11.next(Iterator.scala:370) >>>>>>> at scala.collection.Iterator$class.foreach(Iterator.scala:742) >>>>>>> at scala.collection.AbstractIterator.foreach(Iterator.scala:1194) >>>>>>> at >>>>>>> scala.collection.generic.Growable$class.$plus$plus$eq(Growable.scala:59) >>>>>>> at >>>>>>> scala.collection.mutable.ArrayBuffer.$plus$plus$eq(ArrayBuffer.scala:104) >>>>>>> at >>>>>>> scala.collection.mutable.ArrayBuffer.$plus$plus$eq(ArrayBuffer.scala:48) >>>>>>> at scala.collection.TraversableOnce$class.to >>>>>>> (TraversableOnce.scala:308) >>>>>>> at scala.collection.AbstractIterator.to(Iterator.scala:1194) >>>>>>> at >>>>>>> scala.collection.TraversableOnce$class.toBuffer(TraversableOnce.scala:300) >>>>>>> at scala.collection.AbstractIterator.toBuffer(Iterator.scala:1194) >>>>>>> at >>>>>>> scala.collection.TraversableOnce$class.toArray(TraversableOnce.scala:287) >>>>>>> at scala.collection.AbstractIterator.toArray(Iterator.scala:1194) >>>>>>> at >>>>>>> org.apache.spark.sql.catalyst.trees.TreeNode.transformChildren(TreeNode.scala:305) >>>>>>> at >>>>>>> org.apache.spark.sql.catalyst.trees.TreeNode.transformDown(TreeNode.scala:248) >>>>>>> at >>>>>>> org.apache.spark.sql.catalyst.plans.QueryPlan.transformExpressionDown$1(QueryPlan.scala:75) >>>>>>> at org.apache.spark.sql.catalyst.plans.QueryPlan.org >>>>>>> $apache$spark$sql$catalyst$plans$QueryPlan$$recursiveTransform$1(QueryPlan.scala:85) >>>>>>> at >>>>>>> org.apache.spark.sql.catalyst.plans.QueryPlan$$anonfun$org$apache$spark$sql$catalyst$plans$QueryPlan$$recursiveTransform$1$1.apply(QueryPlan.scala:89) >>>>>>> at >>>>>>> scala.collection.TraversableLike$$anonfun$map$1.apply(TraversableLike.scala:245) >>>>>>> at >>>>>>> scala.collection.TraversableLike$$anonfun$map$1.apply(TraversableLike.scala:245) >>>>>>> at scala.collection.immutable.List.foreach(List.scala:381) >>>>>>> at >>>>>>> scala.collection.TraversableLike$class.map(TraversableLike.scala:245) >>>>>>> at scala.collection.immutable.List.map(List.scala:285) >>>>>>> at org.apache.spark.sql.catalyst.plans.QueryPlan.org >>>>>>> $apache$spark$sql$catalyst$plans$QueryPlan$$recursiveTransform$1(QueryPlan.scala:89) >>>>>>> at >>>>>>> org.apache.spark.sql.catalyst.plans.QueryPlan$$anonfun$1.apply(QueryPlan.scala:93) >>>>>>> at scala.collection.Iterator$$anon$11.next(Iterator.scala:370) >>>>>>> at scala.collection.Iterator$class.foreach(Iterator.scala:742) >>>>>>> at scala.collection.AbstractIterator.foreach(Iterator.scala:1194) >>>>>>> at >>>>>>> scala.collection.generic.Growable$class.$plus$plus$eq(Growable.scala:59) >>>>>>> at >>>>>>> scala.collection.mutable.ArrayBuffer.$plus$plus$eq(ArrayBuffer.scala:104) >>>>>>> at >>>>>>> scala.collection.mutable.ArrayBuffer.$plus$plus$eq(ArrayBuffer.scala:48) >>>>>>> at scala.collection.TraversableOnce$class.to >>>>>>> (TraversableOnce.scala:308) >>>>>>> at scala.collection.AbstractIterator.to(Iterator.scala:1194) >>>>>>> at >>>>>>> scala.collection.TraversableOnce$class.toBuffer(TraversableOnce.scala:300) >>>>>>> at scala.collection.AbstractIterator.toBuffer(Iterator.scala:1194) >>>>>>> at >>>>>>> scala.collection.TraversableOnce$class.toArray(TraversableOnce.scala:287) >>>>>>> at scala.collection.AbstractIterator.toArray(Iterator.scala:1194) >>>>>>> at >>>>>>> org.apache.spark.sql.catalyst.plans.QueryPlan.transformExpressionsDown(QueryPlan.scala:93) >>>>>>> at >>>>>>> org.apache.spark.sql.catalyst.plans.QueryPlan.transformExpressions(QueryPlan.scala:64) >>>>>>> at >>>>>>> org.apache.spark.sql.catalyst.plans.QueryPlan$$anonfun$transformAllExpressions$1.applyOrElse(QueryPlan.scala:134) >>>>>>> at >>>>>>> org.apache.spark.sql.catalyst.plans.QueryPlan$$anonfun$transformAllExpressions$1.applyOrElse(QueryPlan.scala:133) >>>>>>> at >>>>>>> org.apache.spark.sql.catalyst.trees.TreeNode$$anonfun$3.apply(TreeNode.scala:243) >>>>>>> at >>>>>>> org.apache.spark.sql.catalyst.trees.TreeNode$$anonfun$3.apply(TreeNode.scala:243) >>>>>>> at >>>>>>> org.apache.spark.sql.catalyst.trees.CurrentOrigin$.withOrigin(TreeNode.scala:53) >>>>>>> at >>>>>>> org.apache.spark.sql.catalyst.trees.TreeNode.transformDown(TreeNode.scala:242) >>>>>>> at >>>>>>> org.apache.spark.sql.catalyst.trees.TreeNode.transform(TreeNode.scala:233) >>>>>>> at >>>>>>> org.apache.spark.sql.catalyst.plans.QueryPlan.transformAllExpressions(QueryPlan.scala:133) >>>>>>> at >>>>>>> org.apache.spark.sql.catalyst.analysis.ResolveUpCast$.apply(Analyzer.scala:1211) >>>>>>> at >>>>>>> org.apache.spark.sql.catalyst.analysis.ResolveUpCast$.apply(Analyzer.scala:1195) >>>>>>> at >>>>>>> org.apache.spark.sql.catalyst.rules.RuleExecutor$$anonfun$execute$1$$anonfun$apply$1.apply(RuleExecutor.scala:83) >>>>>>> at >>>>>>> org.apache.spark.sql.catalyst.rules.RuleExecutor$$anonfun$execute$1$$anonfun$apply$1.apply(RuleExecutor.scala:80) >>>>>>> at >>>>>>> scala.collection.LinearSeqOptimized$class.foldLeft(LinearSeqOptimized.scala:124) >>>>>>> at scala.collection.immutable.List.foldLeft(List.scala:84) >>>>>>> at >>>>>>> org.apache.spark.sql.catalyst.rules.RuleExecutor$$anonfun$execute$1.apply(RuleExecutor.scala:80) >>>>>>> at >>>>>>> org.apache.spark.sql.catalyst.rules.RuleExecutor$$anonfun$execute$1.apply(RuleExecutor.scala:72) >>>>>>> at scala.collection.immutable.List.foreach(List.scala:381) >>>>>>> at >>>>>>> org.apache.spark.sql.catalyst.rules.RuleExecutor.execute(RuleExecutor.scala:72) >>>>>>> at >>>>>>> org.apache.spark.sql.catalyst.encoders.ExpressionEncoder.resolve(ExpressionEncoder.scala:253) >>>>>>> at org.apache.spark.sql.Dataset.<init>(Dataset.scala:78) >>>>>>> at >>>>>>> org.apache.spark.sql.GroupedDataset.aggUntyped(GroupedDataset.scala:240) >>>>>>> at org.apache.spark.sql.GroupedDataset.agg(GroupedDataset.scala:253) >>>>>>> at ArrayExample$.main(ArrayExample.scala:22) >>>>>>> at ArrayExample.main(ArrayExample.scala) >>>>>>> at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method) >>>>>>> at >>>>>>> sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:62) >>>>>>> at >>>>>>> sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43) >>>>>>> at java.lang.reflect.Method.invoke(Method.java:497) >>>>>>> at >>>>>>> org.apache.spark.deploy.SparkSubmit$.org$apache$spark$deploy$SparkSubmit$$runMain(SparkSubmit.scala:731) >>>>>>> at >>>>>>> org.apache.spark.deploy.SparkSubmit$.doRunMain$1(SparkSubmit.scala:181) >>>>>>> at org.apache.spark.deploy.SparkSubmit$.submit(SparkSubmit.scala:206) >>>>>>> at org.apache.spark.deploy.SparkSubmit$.main(SparkSubmit.scala:121) >>>>>>> at org.apache.spark.deploy.SparkSubmit.main(SparkSubmit.scala) >>>>>>> >>>>>>> >>>>>>> >>>>>>> >>>>>> >>>>> >>>> >>> >> >