yashmayya commented on code in PR #15263:
URL: https://github.com/apache/pinot/pull/15263#discussion_r2000253759
##########
pinot-query-planner/src/main/java/org/apache/pinot/query/type/TypeSystem.java:
##########
@@ -62,16 +62,36 @@ public boolean shouldConvertRaggedUnionTypesToVarying() {
return true;
}
+ @Override
+ public int getMaxScale(SqlTypeName typeName) {
+ return typeName == SqlTypeName.DECIMAL ? MAX_DECIMAL_SCALE :
super.getMaxScale(typeName);
+ }
+
@Override
public int getMaxNumericScale() {
return MAX_DECIMAL_SCALE;
}
+ @Override
+ public int getDefaultScale(SqlTypeName typeName) {
+ return typeName == SqlTypeName.DECIMAL ? MAX_DECIMAL_SCALE :
super.getDefaultScale(typeName);
+ }
+
+ @Override
+ public int getMaxPrecision(SqlTypeName typeName) {
+ return typeName == SqlTypeName.DECIMAL ? MAX_DECIMAL_PRECISION :
super.getMaxPrecision(typeName);
+ }
+
@Override
public int getMaxNumericPrecision() {
return MAX_DECIMAL_PRECISION;
}
+ @Override
+ public int getDefaultPrecision(SqlTypeName typeName) {
+ return typeName == SqlTypeName.DECIMAL ? MAX_DECIMAL_PRECISION :
super.getDefaultPrecision(typeName);
Review Comment:
Okay so using a smaller default scale / precision in the range of 1-10
doesn't seem like a great idea. That would truncate values unnecessarily. For
instance, if we used a default scale of 2, `SELECT CAST(123.4567 AS DECIMAL)
FROM mytable LIMIT 1;` would return `123.45` - Postgres returns `123.4567` for
reference. So I think it makes sense to use our max scale / precision as the
default scale / precision as well to avoid unnecessarily truncating / rounding
values?
Also using a max / default precision and scale of 1000 doesn't mean we're
limited to values in the range of (-1, 1). That would only be the case if we're
using 1000 digits after the decimal point. But for instance, a value like
`1234567890.0123456789` that has precision 20 and scale 10 can be represented
just fine as well.
On a side note, the weird and IMO inexplicable logic we have
[here](https://github.com/apache/pinot/blob/22fde8d9280ec03e7f7613d18c1325f6035771d9/pinot-query-planner/src/main/java/org/apache/pinot/query/planner/logical/RelToPlanNodeConverter.java#L445-L465)
causes strange and unexpected results - if a decimal literal's precision is <=
30 (with non-zero scale), we use `Double` instead of `BigDecimal` leading to
imprecision, so we actually see perfectly accurate results only if using
numbers with precision > 30. But this is orthogonal to the Calcite upgrade and
we can discuss / solve this separately.
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