You are viewing a plain text version of this content. The canonical link for it is here.
Posted to reviews@spark.apache.org by "HyukjinKwon (via GitHub)" <gi...@apache.org> on 2026/07/08 09:41:35 UTC
Re: [PR] [DO-NOT-MERGE][SQL][PYTHON][DOCS] Document accepted input types for built-in functions, backed by a generated test [spark]
HyukjinKwon commented on PR #57079:
URL: https://github.com/apache/spark/pull/57079#issuecomment-4913469360
**CI status** (fork runs on HyukjinKwon/spark)
Last full run [`28921318633`](https://github.com/HyukjinKwon/spark/actions/runs/28921318633): **31/33 legs passed**, including all `sql - {other,slow,extended} tests` and every `pyspark-*` leg — so the accepted-types consistency tests (`FunctionAcceptedTypesSuite`, `FunctionScaladocAcceptedTypesSuite`, `ExpressionInfoSuite`/SPARK-57999, `test_function_accepted_types`) are green.
Two legs failed:
- **Scala linter** — two Scaladoc comment lines exceeded 100 chars; fixed in `cde5f2b80e7` (re-running now in [`28931137391`](https://github.com/HyukjinKwon/spark/actions/runs/28931137391)).
- **Documentation generation** — pre-existing failure on `master`: `union` type-erasure clashes in `JavaSparkContext`/`JavaStreamingContext` and `StatefulProcessor.implicits$`, in files this PR does not touch (confirmed absent from the diff). Not introduced by this change.
This is a [DO-NOT-MERGE] draft; posting for visibility.
---
<!-- GITHUB_MCP_FOOTER: This attribution is automatically appended by GitHub MCP. -->
_This comment was generated with [GitHub MCP](http://go/mcps)._
--
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: reviews-unsubscribe@spark.apache.org
For queries about this service, please contact Infrastructure at:
users@infra.apache.org
---------------------------------------------------------------------
To unsubscribe, e-mail: reviews-unsubscribe@spark.apache.org
For additional commands, e-mail: reviews-help@spark.apache.org