Github user HyukjinKwon commented on a diff in the pull request:
https://github.com/apache/spark/pull/17865#discussion_r121541415
--- Diff: python/pyspark/sql/functions.py ---
@@ -206,17 +227,20 @@ def _():
@since(1.3)
def approxCountDistinct(col, rsd=None):
"""
- .. note:: Deprecated in 2.1, use approx_count_distinct instead.
+ .. note:: Deprecated in 2.1, use :func:`approx_count_distinct` instead.
"""
return approx_count_distinct(col, rsd)
@since(2.1)
def approx_count_distinct(col, rsd=None):
- """Returns a new :class:`Column` for approximate distinct count of
``col``.
+ """Returns a new :class:`Column` for approximate distinct count of
column `col`.
- >>> df.agg(approx_count_distinct(df.age).alias('c')).collect()
- [Row(c=2)]
+ :param rsd: Residual (float). The approximate count will be within
this fraction of the true
--- End diff --
For this one, let's add the contents in Scala/R one too -
https://github.com/apache/spark/blob/3a840048ed3501e06260b7c5df18cc0bbdb1505c/sql/core/src/main/scala/org/apache/spark/sql/functions.scala#L245
and
https://github.com/apache/spark/blob/7f203a248f94df6183a4bc4642a3d873171fef29/R/pkg/R/functions.R#L2243
This one in Scala/R look already having the param contents to match with.
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