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From "Adrian Ionescu (JIRA)" <>
Subject [jira] [Commented] (SPARK-20193) Selecting empty struct causes ExpressionEncoder error.
Date Tue, 04 Apr 2017 09:15:41 GMT


Adrian Ionescu commented on SPARK-20193:

Thanks for the workaround, but, sorry, this is not good enough. I agree that an empty struct
is not very useful, but if it's not supported then the docs should say so and the error message
should be clear.

In my case, I'm building this struct dynamically, based on user input, so it may or may not
be empty. Right now I have to special case it, but that introduces unnecessary complexity
and makes the code less readable.

> Selecting empty struct causes ExpressionEncoder error.
> ------------------------------------------------------
>                 Key: SPARK-20193
>                 URL:
>             Project: Spark
>          Issue Type: Bug
>          Components: Spark Core
>    Affects Versions: 2.1.0
>            Reporter: Adrian Ionescu
>              Labels: struct
> {{def struct(cols: Column*): Column}}
> Given the above signature and the lack of any note in the docs saying that a struct with
no columns is not supported, I would expect the following to work:
> {{spark.range(3).select(col("id"), struct().as("empty_struct")).collect}}
> However, this results in:
> {quote}
> java.lang.AssertionError: assertion failed: each serializer expression should contains
at least one `BoundReference`
>   at scala.Predef$.assert(Predef.scala:170)
>   at org.apache.spark.sql.catalyst.encoders.ExpressionEncoder$$anonfun$11.apply(ExpressionEncoder.scala:240)
>   at org.apache.spark.sql.catalyst.encoders.ExpressionEncoder$$anonfun$11.apply(ExpressionEncoder.scala:238)
>   at scala.collection.TraversableLike$$anonfun$flatMap$1.apply(TraversableLike.scala:241)
>   at scala.collection.TraversableLike$$anonfun$flatMap$1.apply(TraversableLike.scala:241)
>   at scala.collection.immutable.List.foreach(List.scala:381)
>   at scala.collection.TraversableLike$class.flatMap(TraversableLike.scala:241)
>   at scala.collection.immutable.List.flatMap(List.scala:344)
>   at org.apache.spark.sql.catalyst.encoders.ExpressionEncoder.<init>(ExpressionEncoder.scala:238)
>   at org.apache.spark.sql.catalyst.encoders.RowEncoder$.apply(RowEncoder.scala:63)
>   at org.apache.spark.sql.Dataset$.ofRows(Dataset.scala:64)
>   at$apache$spark$sql$Dataset$$withPlan(Dataset.scala:2837)
>   at
>   ... 39 elided
> {quote}

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