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Posted to issues@spark.apache.org by "Yi Zhou (JIRA)" <ji...@apache.org> on 2015/07/09 02:51:04 UTC
[jira] [Commented] (SPARK-7119) ScriptTransform doesn't consider
the output data type
[ https://issues.apache.org/jira/browse/SPARK-7119?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14619672#comment-14619672 ]
Yi Zhou commented on SPARK-7119:
--------------------------------
The issue blocked Spark SQL query relative to scriptTransform so hopefully it can be fixed in 1.5.0
> ScriptTransform doesn't consider the output data type
> -----------------------------------------------------
>
> Key: SPARK-7119
> URL: https://issues.apache.org/jira/browse/SPARK-7119
> Project: Spark
> Issue Type: Bug
> Components: SQL
> Affects Versions: 1.3.0, 1.3.1, 1.4.0
> Reporter: Cheng Hao
>
> {code:sql}
> from (from src select transform(key, value) using 'cat' as (thing1 int, thing2 string)) t select thing1 + 2;
> {code}
> {noformat}
> 15/04/24 00:58:55 ERROR CliDriver: org.apache.spark.SparkException: Job aborted due to stage failure: Task 0 in stage 0.0 failed 1 times, most recent failure: Lost task 0.0 in stage 0.0 (TID 0, localhost): java.lang.ClassCastException: org.apache.spark.sql.types.UTF8String cannot be cast to java.lang.Integer
> at scala.runtime.BoxesRunTime.unboxToInt(BoxesRunTime.java:106)
> at scala.math.Numeric$IntIsIntegral$.plus(Numeric.scala:57)
> at org.apache.spark.sql.catalyst.expressions.Add.eval(arithmetic.scala:127)
> at org.apache.spark.sql.catalyst.expressions.Alias.eval(namedExpressions.scala:118)
> 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$$anonfun$17.apply(RDD.scala:819)
> at org.apache.spark.rdd.RDD$$anonfun$17.apply(RDD.scala:819)
> at org.apache.spark.SparkContext$$anonfun$runJob$5.apply(SparkContext.scala:1618)
> at org.apache.spark.SparkContext$$anonfun$runJob$5.apply(SparkContext.scala:1618)
> at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:63)
> at org.apache.spark.scheduler.Task.run(Task.scala:64)
> at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:209)
> at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1110)
> at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:603)
> at java.lang.Thread.run(Thread.java:722)
> {noformat}
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