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From Alexandr Dzhagriev <dzh...@gmail.com>
Subject Re: Failed to 'collect_set' with dataset in spark 1.6
Date Mon, 01 Feb 2016 18:31:40 GMT
Good to know, thanks.

On Mon, Feb 1, 2016 at 6:57 PM, Ted Yu <yuzhihong@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 <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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