Major Description
Failed Query with Having Clause
def testParquetHaving() {
val ddl =
"""CREATE TABLE IF NOT EXISTS test ( c1 string, c2 int ) STORED AS PARQUET"""
val failedHaving =
""" SELECT c1, avg ( c2 ) as c_avg
| FROM test
| GROUP BY c1
| HAVING ( avg ( c2 ) > 5) ORDER BY c1""".stripMargin
TestHive.sql(ddl)
TestHive.sql(failedHaving).collect
}
org.apache.spark.sql.AnalysisException: resolved attribute(s) c2#16 missing from c1#17,c2#18 in operator !Aggregate [c1#17], [cast((avg(cast(c2#16 as bigint)) > cast(5 as double)) as boolean) AS havingCondition#12,c1#17,avg(cast(c2#18 as bigint)) AS c_avg#9];
at org.apache.spark.sql.catalyst.analysis.CheckAnalysis$class.failAnalysis(CheckAnalysis.scala:37)
at org.apache.spark.sql.catalyst.analysis.Analyzer.failAnalysis(Analyzer.scala:44)
at org.apache.spark.sql.catalyst.analysis.CheckAnalysis$$anonfun$checkAnalysis$1.apply(CheckAnalysis.scala:154)
at org.apache.spark.sql.catalyst.analysis.CheckAnalysis$$anonfun$checkAnalysis$1.apply(CheckAnalysis.scala:49)
Failed Query with OrderBy
def testParquetOrderBy() {
val ddl =
"""CREATE TABLE IF NOT EXISTS test ( c1 string, c2 int ) STORED AS PARQUET"""
val failedOrderBy =
""" SELECT c1, avg ( c2 ) c_avg
| FROM test
| GROUP BY c1
| ORDER BY avg ( c2 )""".stripMargin
TestHive.sql(ddl)
TestHive.sql(failedOrderBy).collect
}
org.apache.spark.sql.AnalysisException: resolved attribute(s) c2#33 missing from c1#34,c2#35 in operator !Aggregate [c1#34], [avg(cast(c2#33 as bigint)) AS aggOrder#31,c1#34,avg(cast(c2#35 as bigint)) AS c_avg#28];
at org.apache.spark.sql.catalyst.analysis.CheckAnalysis$class.failAnalysis(CheckAnalysis.scala:37)
at org.apache.spark.sql.catalyst.analysis.Analyzer.failAnalysis(Analyzer.scala:44)
