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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