Pastaba.
Prieigai prie šio puslapio reikalingas įgaliojimas. Galite bandyti prisijungti arba pakeisti katalogus.
Prieigai prie šio puslapio reikalingas įgaliojimas. Galite bandyti pakeisti katalogus.
Gets the DataFrame's current storage level.
Returns
StorageLevel
Examples
:::note Serverless compatibility
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)