Miscellaneous

LazyFrame.cache()	Cache the result once the execution of the physical plan hits this node.
LazyFrame.collect(*[, type_coercion, ...])	Materialize this LazyFrame into a DataFrame.
LazyFrame.collect_async()	Collect DataFrame asynchronously in thread pool.
LazyFrame.fetch([n_rows, type_coercion, ...])	Collect a small number of rows for debugging purposes.
LazyFrame.lazy()	Return lazy representation, i.e. itself.
LazyFrame.map(function, *[, ...])	Apply a custom function.
LazyFrame.map_batches(function, *[, ...])	Apply a custom function.
LazyFrame.pipe(function, *args, **kwargs)	Offers a structured way to apply a sequence of user-defined functions (UDFs).
LazyFrame.profile(*[, type_coercion, ...])	Profile a LazyFrame.

Read/write logical plan

LazyFrame.deserialize(source)	Read a logical plan from a JSON file to construct a LazyFrame.
LazyFrame.from_json(json)	Read a logical plan from a JSON string to construct a LazyFrame.
LazyFrame.read_json(source)	Read a logical plan from a JSON file to construct a LazyFrame.
LazyFrame.serialize()	Serialize the logical plan of this LazyFrame to a file or string in JSON format.
LazyFrame.write_json()	Serialize the logical plan of this LazyFrame to a file or string in JSON format.