[jira] [Created] (SPARK-13932) CUBE Query with filter (HAVING) and condition (IF) raises an AnalysisException

["Tien-Dung LE (JIRA)" <ji...@apache.org>]

Tien-Dung LE created SPARK-13932:
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             Summary: CUBE Query with filter (HAVING) and condition (IF) raises an AnalysisException
                 Key: SPARK-13932
                 URL: https://issues.apache.org/jira/browse/SPARK-13932
             Project: Spark
          Issue Type: Bug
          Components: SQL
    Affects Versions: 1.6.1, 1.6.0
            Reporter: Tien-Dung LE


A complex aggregate query using condition in the aggregate function and GROUP BY HAVING clause raises an exception. Here is a typical erro message {code}
org.apache.spark.sql.AnalysisException: Reference 'b' is ambiguous, could be: b#55, b#124.; line 1 pos 178
	at org.apache.spark.sql.catalyst.plans.logical.LogicalPlan.resolve(LogicalPlan.scala:287)
{code}

Here is a code snippet to re-produce the error in a spark-shell session:
{code}
import sqlContext.implicits._

case class Toto(  a: String = f"${(math.random*1e6).toLong}%06.0f",
                  b: Int = (math.random*1e3).toInt,
                  n: Int = (math.random*1e3).toInt,
                  m: Double = (math.random*1e3))

val data = sc.parallelize(1 to 1e6.toInt).map(i => Toto())
val df: org.apache.spark.sql.DataFrame = sqlContext.createDataFrame( data )

df.registerTempTable( "toto" )

val sqlSelect1   = "SELECT a, b, COUNT(1) AS k1, COUNT(1) AS k2, SUM(m) AS k3, GROUPING__ID"
val sqlSelect2   = "SELECT a, b, COUNT(1) AS k1, COUNT(IF(n > 500,1,0)) AS k2, SUM(m) AS k3, GROUPING__ID"

val sqlGroupBy  = "FROM toto GROUP BY a, b GROUPING SETS ((a,b),(a),(b))"
val sqlHaving   = "HAVING ((GROUPING__ID & 1) == 1) AND (b > 500)"

sqlContext.sql( s"$sqlSelect1 $sqlGroupBy $sqlHaving" ) // OK
sqlContext.sql( s"$sqlSelect2 $sqlGroupBy" ) // OK

sqlContext.sql( s"$sqlSelect2 $sqlGroupBy $sqlHaving" ) // ERROR
{code}




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