jiayuasu opened a new pull request, #3220: URL: https://github.com/apache/sedona/pull/3220
## What changed - Normalize the selected Moran value column to `DOUBLE` before computing the mean and centered-value statistics. - Add a regression test covering a `BIGINT` value column, matching the type produced by `COUNT(*)`. ## Why Moran's I returns its intermediate aggregates through a typed tuple of `Double` values. With an integral input column, Spark inferred `z * z` and its sum as decimal values, then rejected the attempted upcast from `DECIMAL(38, scale)` to `DOUBLE`. Normalizing the value column at the calculation boundary keeps the intermediate expressions consistent with the existing double-based result contract. Callers can now pass integer counts without adding their own cast. ## Validation - `MoranTest` on Spark 3.4 / Scala 2.12: 5 tests passed. - `MoranTest` on Spark 3.5.8 / Scala 2.12: 5 tests passed. - `MoranTest` on Spark 4.1.1 / Scala 2.13: 5 tests passed. - Repository pre-commit hooks passed. Fixes #3218. -- This is an automated message from the Apache Git Service. To respond to the message, please log on to GitHub and use the URL above to go to the specific comment. To unsubscribe, e-mail: [email protected] For queries about this service, please contact Infrastructure at: [email protected]
