cloud-fan commented on a change in pull request #29242:
URL: https://github.com/apache/spark/pull/29242#discussion_r460627151
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File path: python/pyspark/sql/dataframe.py
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@@ -674,7 +674,7 @@ def cache(self):
.. note:: The default storage level has changed to `MEMORY_AND_DISK`
to match Scala in 2.0.
"""
self.is_cached = True
- self._jdf.cache()
+ self.persist(StorageLevel.MEMORY_AND_DISK)
Review comment:
yea, no matter you call `df.cache` in Scala or Python, the final RDD to
cache is `RDD[CachedBatch]` not `RDD[Array[Byte]]`. I don't think SPARK-2014
applies here.
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