N Campbell created SPARK-10507:
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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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