[jira] [Created] (CARBONDATA-113) Query issue: select sum(col)+10 for column type decimal(30,10)

["Gin-zhj (JIRA)" <ji...@apache.org>]

Gin-zhj created CARBONDATA-113:
----------------------------------

             Summary: Query issue: select sum(col)+10 for column type decimal(30,10) 
                 Key: CARBONDATA-113
                 URL: https://issues.apache.org/jira/browse/CARBONDATA-113
             Project: CarbonData
          Issue Type: Bug
            Reporter: Gin-zhj
            Assignee: Gin-zhj
            Priority: Minor


create table:
 CREATE TABLE IF NOT EXISTS t5 (name String, salary decimal(30,10)) STORED BY 'org.apache.carbondata.format'
then load data
query: select sum(salary)+10 from t5
query failed, catch exception:
org.apache.spark.sql.catalyst.analysis.UnresolvedException: Invalid call to dataType on unresolved object, tree: 'a
        at org.apache.spark.sql.catalyst.analysis.UnresolvedAttribute.dataType(unresolved.scala:59)
        at org.apache.spark.sql.types.StructType$$anonfun$fromAttributes$1.apply(StructType.scala:335)
        at org.apache.spark.sql.types.StructType$$anonfun$fromAttributes$1.apply(StructType.scala:335)
        at scala.collection.TraversableLike$$anonfun$map$1.apply(TraversableLike.scala:244)
        at scala.collection.TraversableLike$$anonfun$map$1.apply(TraversableLike.scala:244)
        at scala.collection.LinearSeqOptimized$class.foreach(LinearSeqOptimized.scala:60)
        at scala.collection.mutable.MutableList.foreach(MutableList.scala:30)
        at scala.collection.TraversableLike$class.map(TraversableLike.scala:244)
        at scala.collection.AbstractTraversable.map(Traversable.scala:105)
        at org.apache.spark.sql.types.StructType$.fromAttributes(StructType.scala:335)
        at org.apache.spark.sql.catalyst.plans.QueryPlan.schema$lzycompute(QueryPlan.scala:153)
        at org.apache.spark.sql.catalyst.plans.QueryPlan.schema(QueryPlan.scala:153)
        at org.apache.spark.sql.execution.SparkPlan$$anonfun$3.apply(SparkPlan.scala:186)
        at org.apache.spark.sql.execution.SparkPlan$$anonfun$3.apply(SparkPlan.scala:185)
        at org.apache.spark.rdd.RDD$$anonfun$mapPartitions$1$$anonfun$apply$17.apply(RDD.scala:744)
        at org.apache.spark.rdd.RDD$$anonfun$mapPartitions$1$$anonfun$apply$17.apply(RDD.scala:744)
        at org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:38)
        at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:334)
        at org.apache.spark.rdd.RDD.iterator(RDD.scala:267)
        at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:68)
        at org.apache.spark.scheduler.Task.run(Task.scala:90)
        at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:253)
        at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1142)
        at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:617)
        at java.lang.Thread.run(Thread.java:745)



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