[jira] [Updated] (SPARK-60200) Casting a decimal with a huge negative scale to string or showing it builds an unbounded plain string

["L. C. Hsieh (Jira)" <ji...@apache.org>]

     [ https://issues.apache.org/jira/browse/SPARK-60200?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

L. C. Hsieh updated SPARK-60200:
--------------------------------
    Affects Version/s: 3.5.8
                       4.2.0
                       4.1.3
                       4.0.4
                       4.3.0
                       4.4.0
                           (was: 5.0.0)

> Casting a decimal with a huge negative scale to string or showing it builds an unbounded plain string
> -----------------------------------------------------------------------------------------------------
>
>                 Key: SPARK-60200
>                 URL: https://issues.apache.org/jira/browse/SPARK-60200
>             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
>            Priority: Major
>
> With `spark.sql.legacy.allowNegativeScaleOfDecimal=true`, `DecimalType` has no lower bound on a negative scale. Casting such a decimal to string under ANSI (`useDecimalPlainString`, `ToStringBase`) and `Dataset.show` (`ToPrettyString`) call `Decimal.toPlainString`, which builds the full plain string. For `1E+2147483647` it fails with `OutOfMemoryError: too large to fit in a String`:
> {code:scala}
> lit("1e2147483647").cast(DecimalType(1, -2147483647)).cast("string")
> spark.range(1).select(lit(new java.math.BigDecimal("1e2147483647"))).show()
> {code}
> The inner cast succeeds because the precision and scale already match, so `Decimal.changePrecision` takes its fast path and the value reaches the string conversion.
> SPARK-60119 bounds this only for the `NUMERIC_VALUE_OUT_OF_RANGE` error message (scientific notation below scale -1000). The threshold could move to a `Decimal`-level helper shared by these callers.



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