You are viewing a plain text version of this content. The canonical link for it is here.
Posted to issues@arrow.apache.org by "Neal Richardson (Jira)" <ji...@apache.org> on 2022/09/02 14:58:00 UTC

[jira] [Created] (ARROW-17601) [C++] Error when creating Expression on Decimal128 types: precision out of range

Neal Richardson created ARROW-17601:
---------------------------------------

             Summary: [C++] Error when creating Expression on Decimal128 types: precision out of range
                 Key: ARROW-17601
                 URL: https://issues.apache.org/jira/browse/ARROW-17601
             Project: Apache Arrow
          Issue Type: Bug
          Components: C++
            Reporter: Neal Richardson


Reproducer in R:

{code}
library(arrow)
library(dplyr)

tab <- Table$create(col1 = 1:4, col2 = 5:8)
tab <- tab$cast(schema(col1 = decimal128(33, 4), col2 = decimal128(15, 2)))
tab %>% mutate(col1 * col2)

# Error: Invalid: Decimal precision out of range [1, 38]: 49
# /Users/me/arrow/cpp/src/arrow/compute/kernels/scalar_arithmetic.cc:1078  DecimalType::Make(left_type.id(), precision, scale)
# /Users/me/arrow/cpp/src/arrow/compute/exec/expression.cc:413  call.kernel->signature->out_type().Resolve(&kernel_context, types)
{code}

With integers and floats, we upcast to a wider size in some compute functions like multiplication. Should this go up to Decimal256? Or is there a better way to determine the size required?



--
This message was sent by Atlassian Jira
(v8.20.10#820010)