nxcals.api.extraction.data.builders.DataFrame.cache

DataFrame.cache() → DataFrame

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

New in version 1.3.0.

Changed in version 3.4.0: Supports Spark Connect.

Notes

The default storage level has changed to MEMORY_AND_DISK to match Scala in 2.0.

Examples

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

>>> df.explain()
== Physical Plan ==
AdaptiveSparkPlan isFinalPlan=false
+- InMemoryTableScan ...