Hi all, When I query Postgresql based on Spark SQL like this: dataFrame.registerTempTable("Employees") val emps = sqlContext.sql("select name, sum(salary) from Employees group by name, salary") monitor { emps.take(10) .map(row => (row.getString(0), row.getDecimal(1))) .foreach(println) }
The type of salary column in data table is numeric(10, 2). It throws the following exception: Exception in thread "main" org.apache.spark.SparkException: Job aborted due to stage failure: Task 0 in stage 0.0 failed 1 times, most recent failure: Lost task 0.0 in stage 0.0 (TID 0, localhost): java.lang.ClassCastException: java.math.BigDecimal cannot be cast to org.apache.spark.sql.types.Decimal Who know this issue and how to solve it? Thanks. Regards, Yi --------------------------------------------------------------------- To unsubscribe, e-mail: user-unsubscr...@spark.apache.org For additional commands, e-mail: user-h...@spark.apache.org