[jira] [Created] (SPARK-17108) BIGINT and INT comparison failure in spark sql

["Sai Krishna Kishore Beathanabhotla (JIRA)" <ji...@apache.org>]

Sai Krishna Kishore Beathanabhotla created SPARK-17108:
----------------------------------------------------------

             Summary: BIGINT and INT comparison failure in spark sql
                 Key: SPARK-17108
                 URL: https://issues.apache.org/jira/browse/SPARK-17108
             Project: Spark
          Issue Type: Bug
            Reporter: Sai Krishna Kishore Beathanabhotla


I have a Hive table with the following definition:

create table testforerror (
    my_column MAP<BIGINT, ARRAY<String>>
);
The table has the following records

hive> select * from testforerror;
OK
{11001:["0034111000a4WaAAA2"]}
{11001:["0034111000orWiWAAU"]}
{11001:["","0034111000VgrHdAAJ"]}
{11001:["0034110000cS4rDAAS"]}
{12001:["0037110001a7ofsAAA"]}
Time taken: 0.067 seconds, Fetched: 5 row(s)
I have a query which filters records with key of the my_column. The query is as follows

select * from testforerror where my_column[11001] is not null;
This query is executing fine from hive/beeline shell and producing the following records:

hive> select * from testforerror where my_column[11001] is not null;
OK
{11001:["0034111000a4WaAAA2"]}
{11001:["0034111000orWiWAAU"]}
{11001:["","0034111000VgrHdAAJ"]}
{11001:["0034110000cS4rDAAS"]}
Time taken: 2.224 seconds, Fetched: 4 row(s)
But however I get an error when trying to execute from spark sqlContext. The following is the error message:

scala> val errorquery = "select * from testforerror where my_column[11001] is not null"
errorquery: String = select * from testforerror where my_column[11001] is not null

scala> sqlContext.sql(errorquery).show()
org.apache.spark.sql.AnalysisException: cannot resolve 'my_column[11001]' due to data type mismatch: argument 2 requires bigint type, however, '11001' is of int type.; line 1 pos 43
    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:65)
    at org.apache.spark.sql.catalyst.analysis.CheckAnalysis$$anonfun$checkAnalysis$1$$anonfun$apply$2.applyOrElse(CheckAnalysis.scala:57)
    at org.apache.spark.sql.catalyst.trees.TreeNode$$anonfun$transformUp$1.apply(TreeNode.scala:335)
    at org.apache.spark.sql.catalyst.trees.TreeNode$$anonfun$transformUp$1.apply(TreeNode.scala:335)
    at org.apache.spark.sql.catalyst.trees.CurrentOrigin$.withOrigin(TreeNode.scala:69)
    at org.apache.spark.sql.catalyst.trees.TreeNode.transformUp(TreeNode.scala:334)
    at org.apache.spark.sql.catalyst.trees.TreeNode$$anonfun$5.apply(TreeNode.scala:332)
    at org.apache.spark.sql.catalyst.trees.TreeNode$$anonfun$5.apply(TreeNode.scala:332)
    at org.apache.spark.sql.catalyst.trees.TreeNode$$anonfun$4.apply(TreeNode.scala:281)
    at scala.collection.Iterator$$anon$11.next(Iterator.scala:328)
    at scala.collection.Iterator$class.foreach(Iterator.scala:727)
    at scala.collection.AbstractIterator.foreach(Iterator.scala:1157)
    at scala.collection.generic.Growable$class.$plus$plus$eq(Growable.scala:48)
    at scala.collection.mutable.ArrayBuffer.$plus$plus$eq(ArrayBuffer.scala:103)
    at scala.collection.mutable.ArrayBuffer.$plus$plus$eq(ArrayBuffer.scala:47)



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