tustvold commented on code in PR #2680:
URL: https://github.com/apache/arrow-datafusion/pull/2680#discussion_r888097956
##########
datafusion/sql/src/utils.rs:
##########
@@ -447,24 +447,16 @@ pub(crate) fn make_decimal_type(
precision: Option<u64>,
scale: Option<u64>,
) -> Result<DataType> {
- match (precision, scale) {
- (None, _) | (_, None) => {
- return Err(DataFusionError::Internal(format!(
- "Decimal(precision, scale) must both be specified, got ({:?},
{:?})",
- precision, scale
- )));
- }
- (Some(p), Some(s)) => {
- // Arrow decimal is i128 meaning 38 maximum decimal digits
- if (p as usize) > DECIMAL_MAX_PRECISION || s > p {
- return Err(DataFusionError::Internal(format!(
- "For decimal(precision, scale) precision must be less than
or equal to 38 and scale can't be greater than precision. Got ({}, {})",
- p, s
- )));
- } else {
- Ok(DataType::Decimal(p as usize, s as usize))
- }
- }
+ let scale = scale.unwrap_or(DECIMAL_DEFAULT_SCALE as u64) as usize;
Review Comment:
I'm not intimately familiar with the decimal type, but I can't see anywhere
that would suggest precision + scale must equal 38. In fact
https://arrow.apache.org/docs/python/generated/pyarrow.decimal128.html would
seem to suggest that scale can be anything, much like a floating point exponent.
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