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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