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https://issues.apache.org/jira/browse/SPARK-32906?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17197373#comment-17197373
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Apache Spark commented on SPARK-32906:
--------------------------------------

User 'maropu' has created a pull request for this issue:
https://github.com/apache/spark/pull/29780

> Struct field names should not change after normalizing floats
> -------------------------------------------------------------
>
>                 Key: SPARK-32906
>                 URL: https://issues.apache.org/jira/browse/SPARK-32906
>             Project: Spark
>          Issue Type: Bug
>          Components: SQL
>    Affects Versions: 3.0.2, 3.1.0
>            Reporter: Takeshi Yamamuro
>            Priority: Minor
>
> This ticket aims at fixing a minor bug when normalizing floats for struct 
> types;
> {code}
> scala> import org.apache.spark.sql.execution.aggregate.HashAggregateExec
> scala> val df = Seq(Tuple1(Tuple1(-0.0d)), Tuple1(Tuple1(0.0d))).toDF("k")
> scala> val agg = df.distinct()
> scala> agg.explain()
> == Physical Plan ==
> *(2) HashAggregate(keys=[k#40], functions=[])
> +- Exchange hashpartitioning(k#40, 200), true, [id=#62]
>    +- *(1) HashAggregate(keys=[knownfloatingpointnormalized(if (isnull(k#40)) 
> null else named_struct(col1, 
> knownfloatingpointnormalized(normalizenanandzero(k#40._1)))) AS k#40], 
> functions=[])
>       +- *(1) LocalTableScan [k#40]
> scala> val aggOutput = agg.queryExecution.sparkPlan.collect { case a: 
> HashAggregateExec => a.output.head }
> scala> aggOutput.foreach { attr => println(attr.prettyJson) }
> ### Final Aggregate ###
> [ {
>   "class" : "org.apache.spark.sql.catalyst.expressions.AttributeReference",
>   "num-children" : 0,
>   "name" : "k",
>   "dataType" : {
>     "type" : "struct",
>     "fields" : [ {
>       "name" : "_1",
>                 ^^^
>       "type" : "double",
>       "nullable" : false,
>       "metadata" : { }
>     } ]
>   },
>   "nullable" : true,
>   "metadata" : { },
>   "exprId" : {
>     "product-class" : "org.apache.spark.sql.catalyst.expressions.ExprId",
>     "id" : 40,
>     "jvmId" : "a824e83f-933e-4b85-a1ff-577b5a0e2366"
>   },
>   "qualifier" : [ ]
> } ]
> ### Partial Aggregate ###
> [ {
>   "class" : "org.apache.spark.sql.catalyst.expressions.AttributeReference",
>   "num-children" : 0,
>   "name" : "k",
>   "dataType" : {
>     "type" : "struct",
>     "fields" : [ {
>       "name" : "col1",
>                 ^^^^
>       "type" : "double",
>       "nullable" : true,
>       "metadata" : { }
>     } ]
>   },
>   "nullable" : true,
>   "metadata" : { },
>   "exprId" : {
>     "product-class" : "org.apache.spark.sql.catalyst.expressions.ExprId",
>     "id" : 40,
>     "jvmId" : "a824e83f-933e-4b85-a1ff-577b5a0e2366"
>   },
>   "qualifier" : [ ]
> } ]
> {code}



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