[jira] [Created] (SPARK-19492) Dataset, map, filter and pattern matching on elements

["Loic Descotte (JIRA)" <ji...@apache.org>]

Loic Descotte created SPARK-19492:
-------------------------------------

             Summary: Dataset, map, filter and pattern matching on elements
                 Key: SPARK-19492
                 URL: https://issues.apache.org/jira/browse/SPARK-19492
             Project: Spark
          Issue Type: Bug
          Components: SQL
    Affects Versions: 2.1.0, 2.0.2
            Reporter: Loic Descotte


It seems it is impossible to use pattern matching to define input parameters for functions like filter, map, etc. on datasets.

Example :

This one is working :

{code}
val departments = Seq(
    Department(1, "hr"),
    Department(2, "it")
).toDS

departments.filter{ d=> 
  d.name == "hr"
}
{code}

but not this one :

{code}
 departments.filter{ case Department(_, name)=>
  name == "hr"
}
{code}

Error :

{code}
error: missing parameter type for expanded function
The argument types of an anonymous function must be fully known. (SLS 8.5)
Expected type was: ?
    departments.filter{ case Department(_, name)=>
{code}

I don't know why it's not working, unlike Scala collections filter function for example.




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