[GitHub] spark pull request #17236: [SPARK-19893][SQL] Cannot run intersect/except/di...

[hvanhovell <gi...@git.apache.org>]

Github user hvanhovell commented on a diff in the pull request:

    https://github.com/apache/spark/pull/17236#discussion_r105383505
  
    --- Diff: sql/core/src/test/scala/org/apache/spark/sql/DataFrameSuite.scala ---
    @@ -1703,4 +1703,17 @@ class DataFrameSuite extends QueryTest with SharedSQLContext {
         val df = spark.range(1).selectExpr("CAST(id as DECIMAL) as x").selectExpr("percentile(x, 0.5)")
         checkAnswer(df, Row(BigDecimal(0.0)) :: Nil)
       }
    +
    +  test("SPARK-19893: cannot run intersect/except/distinct with map type") {
    +    val df = spark.range(1).select(map(lit("key"), $"id"))
    +    val e = intercept[AnalysisException](df.intersect(df))
    +    assert(e.message.contains(
    +      "Cannot have map type columns in DataFrame which calls intersect/except/distinct"))
    +    val e2 = intercept[AnalysisException](df.except(df))
    +    assert(e2.message.contains(
    +      "Cannot have map type columns in DataFrame which calls intersect/except/distinct"))
    +    val e3 = intercept[AnalysisException](df.distinct())
    --- End diff --
    
    For some reason I don't understand, the code path for df.distinct() actually creates an aggregate, whereas the SQL code path uses the `Distinct` operator. So we need to actually issue a sql statement here.


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