coderfender commented on code in PR #2143:
URL: https://github.com/apache/datafusion-comet/pull/2143#discussion_r2274815404
##########
docs/source/user-guide/expressions.md:
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@@ -44,6 +44,15 @@ The following Spark expressions are currently available. Any
known compatibility
| IntegralDivide (`div`) | All operands are cast to DecimalType (in case the
input type is not already decima type) with precision 19 and scale 0. Please
set `spark.comet.cast.allowIncompatible` to `true` to enable DataFusion’s cast
operation for LongType inputs. |
| Remainder (`%`) |
|
+## Binary Try Arithmetic
+
+| Expression | Notes
|
+|------------|----------------------------------------------------------------------------|
+| `try_add` | Adds operands (IntegerTypes only) or results NULL incase of
overflow |
+| `try_sub` | Subtracts operands (IntegerTypes only) or results NULL incase
of overflow |
+| `try_mul` | Multiplies operands (IntegerTypes only) or results NULL incase
of overflow |
+| `try_div` | Subtracts operands (IntegerTypes only) or results NULL incase
of overflow |
Review Comment:
Thats a good question @kazuyukitanimura . The only numeric datatypes spark
supports with NULL on Overflow are IntegerTypes (int / long -> int32 /int64) .
Along with that Spark supports try arithmetic for datetime literals as well but
that isnt supported in comet yet and fallsback to spark
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