pyspark.sql.DataFrame.cache#

DataFrame.cache()[source]#

Persists the DataFrame with the default storage level (MEMORY_AND_DISK_DESER).

New in version 1.3.0.

Changed in version 3.4.0: Supports Spark Connect.

Returns

Notes

The default storage level has changed to MEMORY_AND_DISK_DESER to match Scala in 3.0.

Examples

>>> df = spark.range(1)
>>> df.cache()
DataFrame[id: bigint]

>>> df.explain()
== Physical Plan ==
InMemoryTableScan ...