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Posted to issues@spark.apache.org by "Sean Owen (JIRA)" <ji...@apache.org> on 2015/09/09 09:49:46 UTC
[jira] [Updated] (SPARK-10507) timestamp - timestamp
[ https://issues.apache.org/jira/browse/SPARK-10507?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Sean Owen updated SPARK-10507:
------------------------------
Priority: Minor (was: Major)
> 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
> Priority: Minor
>
> 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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