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https://issues.apache.org/jira/browse/SPARK-60696?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Hyukjin Kwon resolved SPARK-60696.
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Resolution: Fixed
Issue resolved by pull request 132
[https://github.com/apache/spark-connect-rust/pull/132]
> Accept scientific notation Decimal input in Spark Connect Rust
> --------------------------------------------------------------
>
> Key: SPARK-60696
> URL: https://issues.apache.org/jira/browse/SPARK-60696
> Project: Spark
> Issue Type: Bug
> Components: Connect
> Affects Versions: connect-rust-4.3.0
> Reporter: DB Tsai
> Assignee: DB Tsai
> Priority: Major
> Labels: pull-request-available
> Fix For: connect-rust-4.3.0
>
>
> Python Decimal.__str__ emits scientific notation for ordinary finite values,
> including Decimal('1E+3') and Decimal('1E-7'). createDataFrame([(value,)],
> StructType([StructField('v',DecimalType(18,7))])) currently fails with
> invalid decimal: invalid digit found in string for both; Decimal('123.45')
> succeeds. Reproduced on current master plus combined client improvements.
> Core decimal_str_to_unscaled splits only decimal point and parses exponent
> text as integer. Implement checked scientific notation scaling, retaining
> decimal precision/scale semantics, overflow and invalid-input handling.
> Validate exact Arrow IPC cells against Python/Arrow reference for
> positive/negative exponents, zeros, signs, bounds, rounding and errors.
> Preserve fixed-point throughput; no JVM needed.
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