guowei created SPARK-4928:
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Summary: Operation ">,<,>=,<=" with Decimal 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
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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