Thank you.. it works in Spark 1.4. On Sun, Jun 14, 2015 at 3:51 PM Michael Armbrust <mich...@databricks.com> wrote:
> 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) >> > >
