zhengruifeng opened a new pull request, #47869:
URL: https://github.com/apache/spark/pull/47869
### What changes were proposed in this pull request?
Fix type hint for `accuracy` in `percentile_approx` and `approx_percentile`
### Why are the changes needed?
float `accuracy` is not supported:
```
In [9]: df.select(approx_percentile("value", [0.25, 0.5, 0.75],
1.1).alias("quantiles")).show()
...
AnalysisException: [DATATYPE_MISMATCH.UNEXPECTED_INPUT_TYPE] Cannot resolve
"approx_percentile(value, array(0.25, 0.5, 0.75), 1.1)" due to data type
mismatch: The third parameter requires the "INTEGRAL" type, however "1.1" has
the type "DOUBLE". SQLSTATE: 42K09;
```
### Does this PR introduce _any_ user-facing change?
yes, minor doc change
### How was this patch tested?
CI
### Was this patch authored or co-authored using generative AI tooling?
No
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