[ 
https://issues.apache.org/jira/browse/SPARK-10741?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14906801#comment-14906801
 ] 

Ian commented on SPARK-10741:
-----------------------------

Two of my tests failed. 
The query returns nothing. 

{code}
  test("test insert overwrite parquet ") {
    val ddl= List(
      "DROP TABLE IF EXISTS tmp",
      "DROP TABLE IF EXISTS test",
      "CREATE TABLE IF NOT EXISTS tmp ( c1 string, c2 int )",
      """INSERT INTO TABLE tmp select "test1" as c1, (count(*)+1) *10 as c2 
from tmp""",
      """INSERT INTO TABLE tmp select "test1" as c1, (count(*)+1) *10 as c2 
from tmp""",
      """INSERT INTO TABLE tmp select "test2" as c1, (count(*)+1) *10 as c2 
from tmp""",
      """INSERT INTO TABLE tmp select "test2" as c1, (count(*)+1) *10 as c2 
from tmp""",
      "CREATE TABLE IF NOT EXISTS test ( c1 string, c2 int ) STORED AS PARQUET",
      "INSERT OVERWRITE TABLE test SELECT * FROM tmp"
    )

    ddl.foreach{ x =>
      TestHive.sql(x).collect()
    }

    val tmp = TestHive.sql("select c1, c2 from tmp").collect()
    val test = TestHive.sql("select c1, c2 from test").collect()
    assert(tmp === test)
  }

Array([test1,10], [test1,20], [test2,30], [test2,40]) did not equal Array()
ScalaTestFailureLocation: 
org.apache.spark.sql.hive.ParquetRelationTestSuite$$anonfun$1 at 
(ParquetRelationTestSuite.scala:29)
org.scalatest.exceptions.TestFailedException: Array([test1,10], [test1,20], 
[test2,30], [test2,40]) did not equal Array()
{code}

{code}
  test("test insert into parquet ") {
    val ddl= List(
      "DROP TABLE IF EXISTS tmp",
      "DROP TABLE IF EXISTS test",
      "CREATE TABLE IF NOT EXISTS tmp ( c1 string, c2 int )",
      "CREATE TABLE IF NOT EXISTS test ( c1 string, c2 int ) STORED AS PARQUET",
      """INSERT INTO TABLE test select "test1" as c1, (count(*)+1) *10 as c2 
from test""",
      """INSERT INTO TABLE test select "test1" as c1, (count(*)+1) *10 as c2 
from test""",
      """INSERT INTO TABLE test select "test2" as c1, (count(*)+1) *10 as c2 
from test""",
      """INSERT INTO TABLE test select "test2" as c1, (count(*)+1) *10 as c2 
from test"""
    )
    ddl.foreach{ x =>
      TestHive.sql(x).collect()
    }

    val test = TestHive.sql("select c1, c2 from test").collect()
    assert(test.length == 4)
  }

Array() had length 0 instead of expected length 4
ScalaTestFailureLocation: 
org.apache.spark.sql.hive.ParquetRelationTestSuite$$anonfun$2 at 
(ParquetRelationTestSuite.scala:48)
org.scalatest.exceptions.TestFailedException: Array() had length 0 instead of 
expected length 4

{code}

> Hive Query Having/OrderBy against Parquet table is not working 
> ---------------------------------------------------------------
>
>                 Key: SPARK-10741
>                 URL: https://issues.apache.org/jira/browse/SPARK-10741
>             Project: Spark
>          Issue Type: Bug
>          Components: SQL
>    Affects Versions: 1.5.0
>            Reporter: Ian
>            Assignee: Wenchen Fan
>
> Failed Query with Having Clause
> {code}
>   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$1.apply(CheckAnalysis.scala:49)
> {code}
> Failed Query with OrderBy
> {code}
>   def testParquetOrderBy() {
>     val ddl =
>       """CREATE TABLE IF NOT EXISTS test ( c1 string, c2 int ) STORED AS 
> PARQUET"""
>     val failedOrderBy =
>       """ SELECT c1, avg ( c2 ) c_avg
>         | FROM test
>         | GROUP BY c1
>         | ORDER BY avg ( c2 )""".stripMargin
>     TestHive.sql(ddl)
>     TestHive.sql(failedOrderBy).collect
>   }
> org.apache.spark.sql.AnalysisException: resolved attribute(s) c2#33 missing 
> from c1#34,c2#35 in operator !Aggregate [c1#34], [avg(cast(c2#33 as bigint)) 
> AS aggOrder#31,c1#34,avg(cast(c2#35 as bigint)) AS c_avg#28];
>       at 
> org.apache.spark.sql.catalyst.analysis.CheckAnalysis$class.failAnalysis(CheckAnalysis.scala:37)
>       at 
> org.apache.spark.sql.catalyst.analysis.Analyzer.failAnalysis(Analyzer.scala:44)
> {code}



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