allisonwang-db commented on code in PR #42770:
URL: https://github.com/apache/spark/pull/42770#discussion_r1313926440
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python/pyspark/sql/dataframe.py:
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@@ -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:
Hmm, I don't think displaying the physical plan is very user-friendly; it
can be daunting for new Spark users who might not understand what
`RoundRobinPartitioning(10)` means. Personally I prefer the original examples.
Just curious, is it feasible to support `getNumPartitions()` in Spark
Connect? This API is actually pretty useful.
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