yaooqinn opened a new pull request, #49933:
URL: https://github.com/apache/spark/pull/49933
### What changes were proposed in this pull request?
The `Dataset.hint` method takes `Any*` as parameters for both the partition
number and other columns, and the `Partitioning Hints` resolution process
treats anything that CAN NOT be resolved to a partition number as a column
candidate. For example, cases like below will report an ambagious error message
for users.
```scala
val n: Short = 123
spark.range(10000).hint("rebalance", n).show
```
```
REBALANCE Hint parameter should include columns, but 123 found.
```
This PR makes Partitioning Hints resolution accept byte and short values and
improves the debugging error message.
### Why are the changes needed?
- A byte or short value can possibly exist in a user's spark pipeline and
takes as a partition number, w/ this PR, runtime errors can be reduced
- improve error message for debugging
- For developers that build Spark Connect clients in other languages, there
are some cases in which they can not handle or distinguish integrals. It's good
for the server side to handle these valid cases.
### Does this PR introduce _any_ user-facing change?
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Note that it means *any* user-facing change including all aspects such as
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are not considered user-facing changes.
If yes, please clarify the previous behavior and the change this PR proposes
- provide the console output, description and/or an example to show the
behavior difference if possible.
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the released Spark versions or within the unreleased branches such as master.
If no, write 'No'.
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Yes, `Dataset.hint("coalesce", 3.toByte)` and `/*+ COALESCE(3S) */` now are
valid
### How was this patch tested?
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it was difficult to add.
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for the consistent environment, and the instructions could accord to:
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new tests
### Was this patch authored or co-authored using generative AI tooling?
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no
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