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Posted to issues@spark.apache.org by "Michael Armbrust (JIRA)" <ji...@apache.org> on 2014/12/30 21:38:14 UTC
[jira] [Resolved] (SPARK-4928) Operator ">,<,>=,<=" with decimal
between different precision report error
[ https://issues.apache.org/jira/browse/SPARK-4928?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Michael Armbrust resolved SPARK-4928.
-------------------------------------
Resolution: Fixed
Fix Version/s: 1.3.0
Issue resolved by pull request 3767
[https://github.com/apache/spark/pull/3767]
> Operator ">,<,>=,<=" with decimal between different precision report error
> --------------------------------------------------------------------------
>
> Key: SPARK-4928
> URL: https://issues.apache.org/jira/browse/SPARK-4928
> Project: Spark
> Issue Type: Bug
> Components: SQL
> Affects Versions: 1.3.0
> Reporter: guowei
> Fix For: 1.3.0
>
>
> create table test (a Decimal(10,1));
> select * from test where a>1;
> WARN TaskSetManager: Lost task 0.0 in stage 0.0 (TID 0, localhost): org.apache.spark.sql.catalyst.errors.package$TreeNodeException: Types do not match DecimalType(10,1) != DecimalType(10,0), tree: (input[0] > 1)
> at org.apache.spark.sql.catalyst.expressions.Expression.c2(Expression.scala:249)
> at org.apache.spark.sql.catalyst.expressions.GreaterThan.eval(predicates.scala:204)
> at org.apache.spark.sql.catalyst.expressions.InterpretedPredicate$$anonfun$apply$1.apply(predicates.scala:30)
> at org.apache.spark.sql.catalyst.expressions.InterpretedPredicate$$anonfun$apply$1.apply(predicates.scala:30)
> at scala.collection.Iterator$$anon$14.hasNext(Iterator.scala:390)
> at scala.collection.Iterator$$anon$11.hasNext(Iterator.scala:327)
> at scala.collection.Iterator$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$$anonfun$16.apply(RDD.scala:794)
> at org.apache.spark.rdd.RDD$$anonfun$16.apply(RDD.scala:794)
> at org.apache.spark.SparkContext$$anonfun$runJob$4.apply(SparkContext.scala:1324)
> at org.apache.spark.SparkContext$$anonfun$runJob$4.apply(SparkContext.scala:1324)
> at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:61)
> at org.apache.spark.scheduler.Task.run(Task.scala:56)
> at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:195)
> at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1145)
> at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:615)
> at java.lang.Thread.run(Thread.java:744)
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