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https://issues.apache.org/jira/browse/SPARK-11889?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Michael Armbrust updated SPARK-11889:
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Target Version/s: 1.6.0
> Type inference in REPL broken for GroupedDataset.agg
> ----------------------------------------------------
>
> Key: SPARK-11889
> URL: https://issues.apache.org/jira/browse/SPARK-11889
> Project: Spark
> Issue Type: Bug
> Components: SQL
> Reporter: Michael Armbrust
> Assignee: Michael Armbrust
> Priority: Critical
>
> This works in compiled code, but fails in the REPL.
> {code}
> /** An `Aggregator` that adds up any numeric type returned by the given
> function. */
> class SumOf[I, N : Numeric](f: I => N) extends Aggregator[I, N, N] with
> Serializable {
> val numeric = implicitly[Numeric[N]]
> override def zero: N = numeric.zero
> override def reduce(b: N, a: I): N = numeric.plus(b, f(a))
> override def merge(b1: N,b2: N): N = numeric.plus(b1, b2)
> override def finish(reduction: N): N = reduction
> }
> def sum[I, N : Numeric : Encoder](f: I => N): TypedColumn[I, N] = new
> SumOf(f).toColumn
> val ds = Seq((1, 1, 2L), (1, 2, 3L), (1, 3, 4L), (2, 1, 5L)).toDS()
> ds.groupBy(_._1).agg(count("*"), sum(_._2), sum(_._3)).collect()
> {code}
> {code}
> <console>:38: error: missing parameter type for expanded function ((x$2) =>
> x$2._2)
> ds.groupBy(_._1).agg(sum(_._2), sum(_._3)).collect()
> {code}
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