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https://issues.apache.org/jira/browse/SPARK-15114?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Apache Spark reassigned SPARK-15114:
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Assignee: (was: Apache Spark)
> Column name generated by typed aggregate is super verbose
> ---------------------------------------------------------
>
> Key: SPARK-15114
> URL: https://issues.apache.org/jira/browse/SPARK-15114
> Project: Spark
> Issue Type: Bug
> Components: SQL
> Reporter: Yin Huai
> Priority: Critical
>
> {code}
> case class Person(name: String, email: String, age: Long)
> val ds = spark.read.json("/tmp/person.json").as[Person]
> import org.apache.spark.sql.expressions.scala.typed._
> ds.groupByKey(_ => 0).agg(sum(_.age))
> // org.apache.spark.sql.Dataset[(Int, Double)] = [value: int,
> typedsumdouble(unresolveddeserializer(newInstance(class Person), age#0L,
> email#1, name#2), upcast(value)): double]
> ds.groupByKey(_ => 0).agg(sum(_.age)).explain
> == Physical Plan ==
> WholeStageCodegen
> : +- TungstenAggregate(key=[value#84],
> functions=[(TypedSumDouble($line15.$read$$iw$$iw$Person),mode=Final,isDistinct=false)],
> output=[value#84,typedsumdouble(unresolveddeserializer(newInstance(class
> $line15.$read$$iw$$iw$Person), age#0L, email#1, name#2), upcast(value))#91])
> : +- INPUT
> +- Exchange hashpartitioning(value#84, 200), None
> +- WholeStageCodegen
> : +- TungstenAggregate(key=[value#84],
> functions=[(TypedSumDouble($line15.$read$$iw$$iw$Person),mode=Partial,isDistinct=false)],
> output=[value#84,value#97])
> : +- INPUT
> +- AppendColumns <function1>, newInstance(class
> $line15.$read$$iw$$iw$Person), [input[0, int] AS value#84]
> +- WholeStageCodegen
> : +- Scan HadoopFiles[age#0L,email#1,name#2] Format: JSON,
> PushedFilters: [], ReadSchema: struct<age:bigint,email:string,name:string>
> {code}
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