zhengruifeng commented on code in PR #42770:
URL: https://github.com/apache/spark/pull/42770#discussion_r1314388163
##########
python/pyspark/sql/dataframe.py:
##########
@@ -1809,18 +1810,27 @@ def repartition( # type: ignore[misc]
Repartition the data into 10 partitions.
- >>> df.repartition(10).rdd.getNumPartitions()
- 10
+ >>> df.repartition(10).explain()
+ == Physical Plan ==
Review Comment:
I found that current changes can reflect the explainations like
```
Repartition the data into 7 partitions by 'age' and 'name columns.
```
```
Repartition the data into 2 partitions by range in 'age' column.
For example, the first partition can have ``(14, "Tom")``, and the
second
partition would have ``(16, "Bob")`` and ``(23, "Alice")``.
```
while if we use the numPartitions (not matter `rdd.getNumPartitions` or
`spark_partition_id()`) in the examples, it can not provide such information.
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