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https://issues.apache.org/jira/browse/SPARK-47385?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Chenhao Li updated SPARK-47385:
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Summary: Tupled Encoders fail to handle Option parameters (was: Tupled
Encoders don't handle Option parameters)
> Tupled Encoders fail to handle Option parameters
> ------------------------------------------------
>
> Key: SPARK-47385
> URL: https://issues.apache.org/jira/browse/SPARK-47385
> Project: Spark
> Issue Type: Bug
> Components: SQL
> Affects Versions: 3.3.4
> Reporter: Chenhao Li
> Priority: Major
>
>
> The behavior of tupled encoders on the Option type was changed by
> https://github.com/apache/spark/pull/40755.
> {code:java}
> import org.apache.spark.sql.{Encoders, Encoder}
> case class Required(name: String)
> case class Optional(name: String)
> implicit val enc: Encoder[(Required, Option[Optional])] =
> Encoders.tuple(Encoders.product[Required],
> Encoders.product[Option[Optional]])
>
> spark.createDataFrame(Seq(
> (Required("1"), Some(Optional("1"))),
> (Required("2"), None)
> )).as[(Required, Option[Optional])].collect(){code}
> Before the PR, the result is:
> {code:java}
> Array((Required(1),Some(Optional(1))), (Required(2),None)){code}
> After the PR, the result is:
> {code:java}
> Array((Required(1),Some(Optional(1))), (Required(2),null)) {code}
> which is incorrect because the original input is None rather than null.
>
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