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https://issues.apache.org/jira/browse/SPARK-60704?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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ASF GitHub Bot updated SPARK-60704:
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Labels: pull-request-available (was: )
> Avoid repeated Decimal type lookup for explicit decimal local input in Spark
> Connect Rust
> -----------------------------------------------------------------------------------------
>
> Key: SPARK-60704
> URL: https://issues.apache.org/jira/browse/SPARK-60704
> Project: Spark
> Issue Type: Improvement
> 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
>
>
> After SPARK-60697/PR133 eliminates DecimalTuple construction, combined pandas
> decimal input remains15.53ms vsPython5.64ms and tuple13.70ms vs8.72ms
> for10000x3 values. Native decimal_to_value still imports decimal and gets
> Decimal for every cell. Evaluate a narrow per-construction resolved-type path
> for explicit DecimalType schemas and exact Decimal/None cells, avoiding
> repeated module/type lookup and unrelated generic probes. Preserve canonical
> string/scale, exact cells, subclass hooks and fallback/error ordering; do not
> introduce global cached Python objects, class-name heuristics or unsafe
> state. Validate any acceptance guard against mixed values, module rebinding,
> subclasses and exceptions. Benchmark incrementally with identical full PR133
> on both frozen sides and unchanged harness; publish only meaningful ROI with
> correct independent IPC/schema values and unchanged guards. Scientific parser
> changes SPARK-60696 must be identical on both optional correctness sides. No
> JVM.
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