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https://issues.apache.org/jira/browse/SPARK-60132?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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L. C. Hsieh reassigned SPARK-60132:
-----------------------------------

    Assignee: L. C. Hsieh

> Bound the integral-digit count of BigDecimal values in Decimal.set to avoid 
> raw ArithmeticException for huge exponents
> ----------------------------------------------------------------------------------------------------------------------
>
>                 Key: SPARK-60132
>                 URL: https://issues.apache.org/jira/browse/SPARK-60132
>             Project: Spark
>          Issue Type: Bug
>          Components: SQL
>    Affects Versions: 3.5.8, 4.2.0, 4.3.0, 4.1.3, 4.0.4, 4.4.0
>            Reporter: L. C. Hsieh
>            Assignee: L. C. Hsieh
>            Priority: Major
>
> SPARK-60118 bounds the number of integral digits (precision - scale, now 
> computed in Long) only in Decimal.fromString / fromStringANSI, i.e. the 
> string-to-decimal cast path. Other entry points that build a Decimal from a 
> BigDecimal have no such bound and can still fail with a raw 
> java.lang.ArithmeticException (or spend a long time in BigDecimal.setScale) 
> for values with a huge exponent:
> * Decimal.set(BigDecimal) computes this._precision = decimal.precision - 
> decimal.scale as an Int, which overflows for e.g. 1e2147483647 or 
> 0e2147483647, and then calls decimal.setScale(0). Decimal(String) and 
> Decimal(java.math.BigDecimal) go through this.
> * Decimal.set(BigDecimal, precision, scale), used by Decimal(bd, precision, 
> scale) and the CSV/JSON/XML readers, calls decimal.setScale(scale) without 
> bounding the scale change. That method is tracked in SPARK-60133; this ticket 
> covers Decimal.set(BigDecimal).
> Suggested direction: move the Long-based integral-digit bound into 
> Decimal.set or a shared helper, so these paths don't depend on the 
> string-cast fast path.
> Zero is a case of the first point: for a zero with a negative scale, 
> precision - scale grows with the exponent although the value has one digit. 
> For example, Literal(new java.math.BigDecimal("0E+39")) builds a Decimal with 
> precision 40, and DecimalType.fromDecimal then fails with 
> DECIMAL_PRECISION_EXCEEDS_MAX_PRECISION (0E+2147483647 gives precision 
> -2147483648 and fails with DECIMAL_SCALE_EXCEEDS_PRECISION), while 
> Literal(java.math.BigDecimal.ZERO) works. SPARK-60118 normalizes zero only in 
> Decimal.fromString / fromStringANSI; handling zero in Decimal.set(BigDecimal) 
> (precision 1 and scale 0 for a zero with a negative scale when negative 
> scales are not allowed) would cover every entry point.
> Reported in the review of https://github.com/apache/spark/pull/59334.



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