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Fixed-point decimal arithmetic for database engines: 32/64/128/256-bit mantissa tiers with SQL Server / Substrait precision-and-scale promotion rules, scalar and span (columnar) kernels for add/subtract/multiply/divide/modulus, and UTF-8 / UTF-16 parse and format. Targets netstandard2.0, net8.0, and net10.0.

Published
Aug 13, 2026
2mo ago
Total Downloads
1.6K
1,597

Install

dotnet add package Clast.DatabaseDecimal --version 0.3.0
ProductVersions
.NET
net10.0net8.0
.NET Standard
netstandard2.0

README

Clast.DatabaseDecimal

Fixed-point decimal arithmetic for database engines, with mantissa tiers from 32 to 256 bits and SQL/Substrait precision-and-scale promotion rules built in.

NuGet CI License: Apache 2.0

Overview

Clast.DatabaseDecimal provides the numeric primitives a query engine or columnar runtime needs to implement SQL NUMERIC(p,s) faithfully:

  • Four mantissa tiers β€” Decimal32, Decimal64, Decimal128, and Decimal256, covering precisions of 1–9, 10–18, 19–38, and 39–76 digits respectively. The right tier for a given precision is selected by DecimalType.Width.
  • Scalar and span kernels for add, subtract, multiply, divide, and modulus. The span (columnar) kernels operate over ReadOnlySpan<T> / Span<T> for batch evaluation without per-row allocations.
  • UTF-8 and UTF-16 parsing and formatting via DecimalText, with culture-invariant round-tripping.
  • SQL Server / Substrait promotion rules in DecimalTypeRules, so (p1,s1) βŠ• (p2,s2) yields the same result type a database planner would produce.
  • Selectable rounding via DecimalRounding, on every entry point that discards digits.

Rounding

Rounding happens wherever digits are dropped: division, rescaling to a smaller scale (which is what precision clamping forces on multiplication), and parsing text with more fractional digits than the target scale. Addition, subtraction, and modulus scale both operands up to max(s1,s2) under the promotion rules, so they never round.

Every kernel, ScaleHelper rescale helper, and DecimalText parse method takes an optional trailing DecimalRounding:

var intType = DecimalType.Numeric(precision: 9, scale: 0);
var oneDecimal = DecimalType.Numeric(precision: 18, scale: 1);
var five = new Decimal32(5);
var two = new Decimal32(2);

// Banker's rounding β€” the default, and what IEEE 754 and Math.Round do.
DivideKernel.Divide(five, intType, two, intType, intType);                      // 2
ScaleHelper.Rescale128(25, fromScale: 1, toScale: 0);                           // 2
DecimalText.ParseDecimal64("1.45".AsSpan(), oneDecimal);                        // 1.4

// Half away from zero β€” what Spark, SQL Server, PostgreSQL, and MySQL do.
DivideKernel.Divide(five, intType, two, intType, intType, DecimalRounding.HalfUp); // 3
ScaleHelper.Rescale128(25, 1, 0, DecimalRounding.HalfUp);                          // 3
DecimalText.ParseDecimal64("1.45".AsSpan(), oneDecimal, DecimalRounding.HalfUp);   // 1.5

The default is HalfEven so the argument can be omitted without changing behaviour. Note that it does not match the promotion rules' SQL Server lineage β€” callers implementing SQL semantics should pass HalfUp explicitly.

The mode is loop-invariant in the span kernels: it is read once per call, not per element, and the batch paths stay allocation-free.

Overflow

A result must fit the result type's precision, which is a stricter bound than the mantissa width: NUMERIC(38,0) stops at 10^38 - 1, while a 128-bit mantissa reaches about 1.7 Γ— 10^38. Checked arithmetic catches the width; the kernels check the precision, and both throw OverflowException.

var t = DecimalType.Numeric(38, 0);
var max38 = DecimalText.ParseDecimal128("99999999999999999999999999999999999999".AsSpan(), t);
var one = DecimalText.ParseDecimal128("1".AsSpan(), t);

AddKernel.Add(max38, t, one, t, t);   // throws: 39 digits does not fit NUMERIC(38,0)

Engines that null overflowing rows rather than failing the query β€” Spark outside ANSI mode, for one β€” treat overflow as routine, so an exception per batch would be both costly and wrong. Pass DecimalOverflow.Ignore and scan the output:

var t = DecimalType.Numeric(9, 0);
int[] left = { 1, 999_999_999 };
int[] right = { 1, 1 };
int[] result = new int[2];

SpanAddKernel.Add(left, t, right, t, result, t,
                  DecimalRounding.HalfEven, DecimalOverflow.Ignore);

ulong[] mask = new ulong[DecimalRange.MaskWordCount(result.Length)];
int overflowed = DecimalRange.WriteOutOfRangeMask(result, t, mask);
// overflowed == 1, and bit 1 of mask[0] flags result[1], which reached 10 digits

DecimalRange also offers IsInRange, Validate (throws), and IndexOfOutOfRange (first offender, or -1). Ignore relaxes only the declared precision check β€” the mantissa width is always checked, so a result that overflows Int128 still throws.

In the span kernels the check is a separate pass over the finished output, not a per-element branch, so the arithmetic loop stays branch-free and vectorized and the output is fully written even when it throws.

Example

using Clast.DatabaseDecimal;
using Clast.DatabaseDecimal.Text;
using Clast.DatabaseDecimal.Values;

var type = DecimalType.Numeric(precision: 18, scale: 4);

var a = DecimalText.ParseDecimal64("1234.5678".AsSpan(), type);
var b = DecimalText.ParseDecimal64("0.0001".AsSpan(), type);

var sum = new Decimal64(a.Mantissa + b.Mantissa);
Console.WriteLine(sum.ToString(type.Scale)); // 1234.5679

Target frameworks

  • netstandard2.0
  • net8.0
  • net10.0

License

Licensed under the Apache License, Version 2.0.

Changes from Previous Version

No structural changes between v0.2.0 and v0.3.0.

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