pyspark.sql.DataFrame.unpersist#

DataFrame.unpersist(blocking=False)[source]#

Marks the DataFrame as non-persistent, and remove all blocks for it from memory and disk.

New in version 1.3.0.

Changed in version 3.4.0: Supports Spark Connect.

Parameters

blockingbool: Whether to block until all blocks are deleted.

Returns

DataFrame: Unpersisted DataFrame.

Notes

blocking default has changed to False to match Scala in 2.0.

Examples

>>> df = spark.range(1)
>>> df.persist()
DataFrame[id: bigint]
>>> df.unpersist()
DataFrame[id: bigint]
>>> df = spark.range(1)
>>> df.unpersist(True)
DataFrame[id: bigint]