[jira] [Created] (SPARK-10507) timestamp - timestamp

["N Campbell (JIRA)" <ji...@apache.org>]

N Campbell created SPARK-10507:
----------------------------------

             Summary: timestamp - timestamp 
                 Key: SPARK-10507
                 URL: https://issues.apache.org/jira/browse/SPARK-10507
             Project: Spark
          Issue Type: Bug
          Components: SQL
    Affects Versions: 1.3.1
            Reporter: N Campbell


TIMESTAMP - TIMESTAMP in ISO-SQL is an interval type. Hive 0.13 fails with Error: Could not create ResultSet: Required field 'type' is unset! Struct:TPrimitiveTypeEntry(type:null) and SPARK has similar "challenges".

select cts - cts from tts 



Operation: execute
Errors:
org.apache.spark.SparkException: Job aborted due to stage failure: Task 0 in stage 6214.0 failed 4 times, most recent failure: Lost task 0.3 in stage 6214.0 (TID 21208, sandbox.hortonworks.com): java.lang.RuntimeException: Type TimestampType does not support numeric operations
	at scala.sys.package$.error(package.scala:27)
	at org.apache.spark.sql.catalyst.expressions.Subtract.numeric$lzycompute(arithmetic.scala:138)
	at org.apache.spark.sql.catalyst.expressions.Subtract.numeric(arithmetic.scala:136)
	at org.apache.spark.sql.catalyst.expressions.Subtract.eval(arithmetic.scala:150)
	at org.apache.spark.sql.catalyst.expressions.Alias.eval(namedExpressions.scala:113)
	at org.apache.spark.sql.catalyst.expressions.InterpretedMutableProjection.apply(Projection.scala:68)
	at org.apache.spark.sql.catalyst.expressions.InterpretedMutableProjection.apply(Projection.scala:52)
	at scala.collection.Iterator$$anon$11.next(Iterator.scala:328)
	at scala.collection.Iterator$$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)
	at scala.collection.TraversableOnce$class.to(TraversableOnce.scala:273)
	at scala.collection.AbstractIterator.to(Iterator.scala:1157)
	at scala.collection.TraversableOnce$class.toBuffer(TraversableOnce.scala:265)
	at scala.collection.AbstractIterator.toBuffer(Iterator.scala:1157)
	at scala.collection.TraversableOnce$class.toArray(TraversableOnce.scala:252)
	at scala.collection.AbstractIterator.toArray(Iterator.scala:1157)
	at org.apache.spark.rdd.RDD$$anonfun$17.apply(RDD.scala:813)
	at org.apache.spark.rdd.RDD$$anonfun$17.apply(RDD.scala:813)
	at org.apache.spark.SparkContext$$anonfun$runJob$5.apply(SparkContext.scala:1498)

create table  if not exists TTS ( RNUM int , CTS timestamp )TERMINATED BY '\n' 
 STORED AS orc  ;




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