zhengruifeng opened a new pull request, #37669:
URL: https://github.com/apache/spark/pull/37669
### What changes were proposed in this pull request?
add the validation of `num` and `numPartitions`
### Why are the changes needed?
this PR is to keep in line with the scala side
1, the scala side will check whether `num==0`
2, the scala side will check whether `numPartitions==0`, so it accept a
`emptyRDD`
```scala
scala> sc.emptyRDD[Int].takeOrdered(3)
res2: Array[Int] = Array()
```
while in PySpark:
```
In [1]: sc.emptyRDD().takeOrdered(3)
---------------------------------------------------------------------------
ValueError Traceback (most recent call last)
Input In [1], in <cell line: 1>()
----> 1 sc.emptyRDD().takeOrdered(3)
File ~/.dev/spark-3.3.0-bin-hadoop3/python/pyspark/rdd.py:1823, in
RDD.takeOrdered(self, num, key)
1820 def merge(a: List[T], b: List[T]) -> List[T]:
1821 return heapq.nsmallest(num, a + b, key)
-> 1823 return self.mapPartitions(lambda it: [heapq.nsmallest(num, it,
key)]).reduce(merge)
File ~/.dev/spark-3.3.0-bin-hadoop3/python/pyspark/rdd.py:1253, in
RDD.reduce(self, f)
1251 if vals:
1252 return reduce(f, vals)
-> 1253 raise ValueError("Can not reduce() empty RDD")
ValueError: Can not reduce() empty RDD
```
### Does this PR introduce _any_ user-facing change?
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### How was this patch tested?
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