Github user marmbrus commented on the pull request:
https://github.com/apache/spark/pull/2850#issuecomment-60537184
Thanks for working on this! In order for the BigDecimals to work we are
going to need to do some conversions as well. This is because the expected
internal representation of BigDecimal is the scala class, not the java one.
Consider the following test case:
```scala
assert(
javaSqlCtx.sql("SELECT bigDecimalField + bigDecimalField FROM
allTypes").collect.head.row ===
Seq(new java.math.BigDecimal(0)))
```
Which will throw
```
[info] org.apache.spark.SparkException: Job aborted due to stage failure:
Task 1 in stage 2.0 failed 1 times, most recent failure: Lost task 1.0 in stage
2.0 (TID 5, localhost): java.lang.ClassCastException: java.math.BigDecimal
cannot be cast to scala.math.BigDecimal
[info]
scala.math.Numeric$BigDecimalIsFractional$.plus(Numeric.scala:182)
[info]
org.apache.spark.sql.catalyst.expressions.Add$$anonfun$eval$3.apply(arithmetic.scala:72)
```
I think we'll need to do something similar to
[convertToCatalyst](https://github.com/apache/spark/blob/master/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/ScalaReflection.scala#L35)
but for Java.
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