[jira] [Created] (SPARK-18889) Spark incorrectly reads default columns from a Hive view

["Salil Surendran (JIRA)" <ji...@apache.org>]

Salil Surendran created SPARK-18889:
---------------------------------------

             Summary: Spark incorrectly reads default columns from a Hive view
                 Key: SPARK-18889
                 URL: https://issues.apache.org/jira/browse/SPARK-18889
             Project: Spark
          Issue Type: Bug
            Reporter: Salil Surendran


Spark fails to read a view that have columns that are given default names;
To reproduce follow the following steps in Hive:

   * CREATE TABLE IF NOT EXISTS employee_details ( eid int, name String,
    salary String, destination String, json String)
    COMMENT 'Employee details'
    ROW FORMAT DELIMITED
    FIELDS TERMINATED BY '\t'
    LINES TERMINATED BY '\n'
    STORED AS TEXTFILE;
    * insert into employee_details values(100, "Salil", "100k", "Mumbai", s"""{"Foo":"ABC","Bar":"20090101100000","Quux":{"QuuxId":1234,"QuuxName":"Sam"}}""" )
   * create view employee_25 as select eid, name, `_c4` from (select eid, name, destination,v1.foo, cast(v1.bar as timestamp) from employee_details LATERAL VIEW json_tuple(json,'Foo','Bar')v1 as foo, bar)v2;
* select * from employee_25;

You will see an output like this:
+------------------+-------------------+------------------+--+
| employee_25.eid  | employee_25.name  | employee_25._c4  |
+------------------+-------------------+------------------+--+
| 100                       | Salil                           | NULL                     |
+------------------+-------------------+------------------+--+

Now go to spark-shell and try to query the view:
scala> spark.sql("select * from employee_25").show
org.apache.spark.sql.AnalysisException: cannot resolve '`v2._c4`' given input columns: [foo, name, eid, bar, destination]; line 1 pos 32;
'Project [*]
+- 'SubqueryAlias employee_25
   +- 'Project [eid#56, name#57, 'v2._c4]
      +- SubqueryAlias v2
         +- Project [eid#56, name#57, destination#59, foo#61, cast(bar#62 as timestamp) AS bar#63]
            +- Generate json_tuple(json#60, Foo, Bar), true, false, v1, [foo#61, bar#62]
               +- MetastoreRelation default, employee_details

  at org.apache.spark.sql.catalyst.analysis.package$AnalysisErrorAt.failAnalysis(package.scala:42)
  at org.apache.spark.sql.catalyst.analysis.CheckAnalysis$$anonfun$checkAnalysis$1$$anonfun$apply$2.applyOrElse(CheckAnalysis.scala:77)
  at org.apache.spark.sql.catalyst.analysis.CheckAnalysis$$anonfun$checkAnalysis$1$$anonfun$apply$2.applyOrElse(CheckAnalysis.scala:74)
  at org.apache.spark.sql.catalyst.trees.TreeNode$$anonfun$transformUp$1.apply(TreeNode.scala:308)
  at org.apache.spark.sql.catalyst.trees.TreeNode$$anonfun$transformUp$1.apply(TreeNode.scala:308)
  at org.apache.spark.sql.catalyst.trees.CurrentOrigin$.withOrigin(TreeNode.scala:69)
  at org.apache.spark.sql.catalyst.trees.TreeNode.transformUp(TreeNode.scala:307)
  at org.apache.spark.sql.catalyst.plans.QueryPlan.transformExpressionUp$1(QueryPlan.scala:269)
  at org.apache.spark.sql.catalyst.plans.QueryPlan.org$apache$spark$sql$catalyst$plans$QueryPlan$$recursiveTransform$2(QueryPlan.scala:279)
  at org.apache.spark.sql.catalyst.plans.QueryPlan$$anonfun$org$apache$spark$sql$catalyst$plans$QueryPlan$$recursiveTransform$2$1.apply(QueryPlan.scala:283)
  at scala.collection.TraversableLike$$anonfun$map$1.apply(TraversableLike.scala:234)
  at scala.collection.TraversableLike$$anonfun$map$1.apply(TraversableLike.scala:234)
  at scala.collection.immutable.List.foreach(List.scala:381)
  at scala.collection.TraversableLike$class.map(TraversableLike.scala:234)
  at scala.collection.immutable.List.map(List.scala:285)
  at org.apache.spark.sql.catalyst.plans.QueryPlan.org$apache$spark$sql$catalyst$plans$QueryPlan$$recursiveTransform$2(QueryPlan.scala:283)
  at org.apache.spark.sql.catalyst.plans.QueryPlan$$anonfun$8.apply(QueryPlan.scala:288)
  at org.apache.spark.sql.catalyst.trees.TreeNode.mapProductIterator(TreeNode.scala:186)
  at org.apache.spark.sql.catalyst.plans.QueryPlan.transformExpressionsUp(QueryPlan.scala:288)
  at org.apache.spark.sql.catalyst.analysis.CheckAnalysis$$anonfun$checkAnalysis$1.apply(CheckAnalysis.scala:74)
  at org.apache.spark.sql.catalyst.analysis.CheckAnalysis$$anonfun$checkAnalysis$1.apply(CheckAnalysis.scala:67)
  at org.apache.spark.sql.catalyst.trees.TreeNode.foreachUp(TreeNode.scala:126)
  at org.apache.spark.sql.catalyst.trees.TreeNode$$anonfun$foreachUp$1.apply(TreeNode.scala:125)
  at org.apache.spark.sql.catalyst.trees.TreeNode$$anonfun$foreachUp$1.apply(TreeNode.scala:125)
  at scala.collection.immutable.List.foreach(List.scala:381)
  at org.apache.spark.sql.catalyst.trees.TreeNode.foreachUp(TreeNode.scala:125)
  at org.apache.spark.sql.catalyst.trees.TreeNode$$anonfun$foreachUp$1.apply(TreeNode.scala:125)
  at org.apache.spark.sql.catalyst.trees.TreeNode$$anonfun$foreachUp$1.apply(TreeNode.scala:125)
  at scala.collection.immutable.List.foreach(List.scala:381)
  at org.apache.spark.sql.catalyst.trees.TreeNode.foreachUp(TreeNode.scala:125)
  at org.apache.spark.sql.catalyst.analysis.CheckAnalysis$class.checkAnalysis(CheckAnalysis.scala:67)
  at org.apache.spark.sql.catalyst.analysis.Analyzer.checkAnalysis(Analyzer.scala:58)
  at org.apache.spark.sql.execution.QueryExecution.assertAnalyzed(QueryExecution.scala:49)
  at org.apache.spark.sql.Dataset$.ofRows(Dataset.scala:64)
  at org.apache.spark.sql.SparkSession.sql(SparkSession.scala:582)
  ... 48 elided






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