Github user cloud-fan commented on a diff in the pull request:

    https://github.com/apache/spark/pull/16561#discussion_r95817334
  
    --- Diff: 
sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/analysis/view.scala 
---
    @@ -29,40 +29,31 @@ import org.apache.spark.sql.catalyst.rules.Rule
     
     /**
      * Make sure that a view's child plan produces the view's output 
attributes. We wrap the child
    - * with a Project and add an alias for each output attribute. The 
attributes are resolved by
    - * name. This should be only done after the batch of Resolution, because 
the view attributes are
    - * not completely resolved during the batch of Resolution.
    + * with a Project and add an alias for each output attribute by mapping 
the child output by index,
    + * if the view output doesn't have the same number of columns with the 
child output, throw an
    + * AnalysisException.
    + * This should be only done after the batch of Resolution, because the 
view attributes are not
    + * completely resolved during the batch of Resolution.
      */
     case class AliasViewChild(conf: CatalystConf) extends Rule[LogicalPlan] {
       override def apply(plan: LogicalPlan): LogicalPlan = plan 
resolveOperators {
         case v @ View(_, output, child) if child.resolved =>
    -      val resolver = conf.resolver
    -      val newOutput = output.map { attr =>
    -        val originAttr = findAttributeByName(attr.name, child.output, 
resolver)
    -        // The dataType of the output attributes may be not the same with 
that of the view output,
    -        // so we should cast the attribute to the dataType of the view 
output attribute. If the
    -        // cast can't perform, will throw an AnalysisException.
    -        Alias(Cast(originAttr, attr.dataType), attr.name)(exprId = 
attr.exprId,
    -          qualifier = attr.qualifier, explicitMetadata = 
Some(attr.metadata))
    +      if (output.length != child.output.length) {
    +        throw new AnalysisException(
    +          s"The view output ${output.mkString("[", ",", "]")} doesn't have 
the same number of " +
    +            s"columns with the child output ${child.output.mkString("[", 
",", "]")}")
    +      }
    +      val newOutput = output.zip(child.output).map {
    +        case (attr, originAttr) =>
    +          if (attr.dataType != originAttr.dataType) {
    --- End diff --
    
    can you check hive's behavior? maybe we can use `UpCast` here


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