Analyzer incorrectly resolves aggregate function outside of Aggregate operators

select max(id)
from range(10)
group by id
having count(1) >= 1
order by max(id)

== Analyzed Logical Plan ==
max(id): bigint
Project [max(id)#91L]
+- Sort [max(id#88L) ASC NULLS FIRST], true
   +- Project [max(id)#91L, id#88L]
      +- Filter (count(1)#93L >= cast(1 as bigint))
         +- Aggregate [id#88L], [max(id#88L) AS max(id)#91L, count(1) AS count(1)#93L, id#88L]
            +- Range (0, 10, step=1, splits=None)

java.lang.UnsupportedOperationException: Cannot generate code for expression: max(input[1, bigint, false])
  at org.apache.spark.sql.catalyst.expressions.Unevaluable.doGenCode(Expression.scala:291)
  at org.apache.spark.sql.catalyst.expressions.Unevaluable.doGenCode$(Expression.scala:290)
  at org.apache.spark.sql.catalyst.expressions.aggregate.AggregateExpression.doGenCode(interfaces.scala:87)
  at org.apache.spark.sql.catalyst.expressions.Expression.$anonfun$genCode$3(Expression.scala:138)
  at scala.Option.getOrElse(Option.scala:138)
  at org.apache.spark.sql.catalyst.expressions.Expression.genCode(Expression.scala:133)
  at org.apache.spark.sql.catalyst.expressions.codegen.GenerateOrdering$.$anonfun$createOrderKeys$1(GenerateOrdering.scala:82)
  at scala.collection.TraversableLike.$anonfun$map$1(TraversableLike.scala:237)
  at scala.collection.mutable.ResizableArray.foreach(ResizableArray.scala:62)
  at scala.collection.mutable.ResizableArray.foreach$(ResizableArray.scala:55)
  at scala.collection.mutable.ArrayBuffer.foreach(ArrayBuffer.scala:49)
  at scala.collection.TraversableLike.map(TraversableLike.scala:237)
  at scala.collection.TraversableLike.map$(TraversableLike.scala:230)
  at scala.collection.AbstractTraversable.map(Traversable.scala:108)
  at org.apache.spark.sql.catalyst.expressions.codegen.GenerateOrdering$.createOrderKeys(GenerateOrdering.scala:82)
  at org.apache.spark.sql.catalyst.expressions.codegen.GenerateOrdering$.genComparisons(GenerateOrdering.scala:91)
  at org.apache.spark.sql.catalyst.expressions.codegen.GenerateOrdering$.create(GenerateOrdering.scala:152)
  at org.apache.spark.sql.catalyst.expressions.codegen.GenerateOrdering$.create(GenerateOrdering.scala:44)
  at org.apache.spark.sql.catalyst.expressions.codegen.CodeGenerator.generate(CodeGenerator.scala:1194)
  at org.apache.spark.sql.catalyst.expressions.codegen.LazilyGeneratedOrdering.<init>(GenerateOrdering.scala:195)
  at org.apache.spark.sql.catalyst.expressions.codegen.LazilyGeneratedOrdering.<init>(GenerateOrdering.scala:192)
  at org.apache.spark.sql.execution.TakeOrderedAndProjectExec.executeCollect(limit.scala:153)
  at org.apache.spark.sql.Dataset.collectFromPlan(Dataset.scala:3302)
  at org.apache.spark.sql.Dataset.$anonfun$head$1(Dataset.scala:2470)
  at org.apache.spark.sql.Dataset.$anonfun$withAction$1(Dataset.scala:3291)
  at org.apache.spark.sql.execution.SQLExecution$.$anonfun$withNewExecutionId$1(SQLExecution.scala:87)
  at org.apache.spark.sql.execution.SQLExecution$.withSQLConfPropagated(SQLExecution.scala:147)
  at org.apache.spark.sql.execution.SQLExecution$.withNewExecutionId(SQLExecution.scala:74)
  at org.apache.spark.sql.Dataset.withAction(Dataset.scala:3287)
  at org.apache.spark.sql.Dataset.head(Dataset.scala:2470)
  at org.apache.spark.sql.Dataset.take(Dataset.scala:2684)
  at org.apache.spark.sql.Dataset.getRows(Dataset.scala:262)
  at org.apache.spark.sql.Dataset.showString(Dataset.scala:299)
  at org.apache.spark.sql.Dataset.show(Dataset.scala:753)
  at org.apache.spark.sql.Dataset.show(Dataset.scala:712)
  at org.apache.spark.sql.Dataset.show(Dataset.scala:721)