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Gets the DataFrame's current storage level.
Returns
StorageLevel
Examples
Note
Databricks recommends moving away from df.cache() and df.persist() as they are not compatible with Databricks serverless compute architecture. Materialize intermediate results to Delta tables instead.
df1 = spark.range(10)
df1.storageLevel
# StorageLevel(False, False, False, False, 1)
df1.cache().storageLevel
# StorageLevel(True, True, False, True, 1)
df2 = spark.range(5)
df2.persist(StorageLevel.DISK_ONLY_2).storageLevel
# StorageLevel(True, False, False, False, 2)