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From Ted Yu <yuzhih...@gmail.com>
Subject Re: Failed to 'collect_set' with dataset in spark 1.6
Date Mon, 01 Feb 2016 17:57:05 GMT
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 <dzhagr@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 <yuzhihong@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 <dzhagr@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 <dzhagr@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 <yuzhihong@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 <dzhagr@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)
>>>>>>
>>>>>>
>>>>>>
>>>>>>
>>>>>
>>>>
>>>
>>
>

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