Sounds like SPARK-5456 <https://issues.apache.org/jira/browse/SPARK-5456>. Which is fixed in Spark 1.4.
On Sun, Jun 14, 2015 at 11:57 AM, Sathish Kumaran Vairavelu < vsathishkuma...@gmail.com> wrote: > Hello Everyone, > > I pulled 2 different tables from the JDBC source and then joined them > using the cust_id *decimal* column. A simple join like as below. This > simple join works perfectly in the database but not in Spark SQL. I am > importing 2 tables as a data frame/registertemptable and firing sql on top > of it. Please let me know what could be the error.. > > select b.customer_type, sum(a.amount) total_amount from > customer_activity a, > account b > where > a.cust_id = b.cust_id > group by b.customer_type > > CastException: java.math.BigDecimal cannot be cast to > org.apache.spark.sql.types.Decimal > > at > org.apache.spark.sql.types.Decimal$DecimalIsFractional$.plus(Decimal.scala:330) > > at > org.apache.spark.sql.catalyst.expressions.Add.eval(arithmetic.scala:127) > > at > org.apache.spark.sql.catalyst.expressions.Coalesce.eval(nullFunctions.scala:50) > > at > org.apache.spark.sql.catalyst.expressions.MutableLiteral.update(literals.scala:83) > > at > org.apache.spark.sql.catalyst.expressions.SumFunction.update(aggregates.scala:571) > > at > org.apache.spark.sql.execution.Aggregate$$anonfun$execute$1$$anonfun$7.apply(Aggregate.scala:163) > > at > org.apache.spark.sql.execution.Aggregate$$anonfun$execute$1$$anonfun$7.apply(Aggregate.scala:147) > > at org.apache.spark.rdd.RDD$$anonfun$14.apply(RDD.scala:634) > > at org.apache.spark.rdd.RDD$$anonfun$14.apply(RDD.scala:634) > > at > org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:35) > > at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:277) > > at org.apache.spark.rdd.RDD.iterator(RDD.scala:244) > > at > org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:35) > > at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:277) > > at org.apache.spark.rdd.RDD.iterator(RDD.scala:244) > > at > org.apache.spark.scheduler.ShuffleMapTask.runTask(ShuffleMapTask.scala:68) > > at > org.apache.spark.scheduler.ShuffleMapTask.runTask(ShuffleMapTask.scala:41) > > at org.apache.spark.scheduler.Task.run(Task.scala:64) > > at > org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:203) > > 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:745) >
