xushiyan commented on issue #3821:
URL: https://github.com/apache/hudi/issues/3821#issuecomment-946393073
@rohit-m-99 you'd need to partition your dataset the normal way you
partition a spark dataset. Something like
`df.repartition().write().format("hudi").partitionBy().mode().options().save()`.
You can search more on how to do Spark partitioning.
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