temporary_view

To define a view in Python, apply the @temporary_view decorator, then reference views by name in other queries, including materialized views and streaming tables. The results of the view are calculated when queried.

note

The older dlt module used the @view decorator to defiine a temporary view. Databricks recommends using the pyspark.pipelines module (imported as dp) and the @temporary_view decorator to define temporary views.

Syntax

Python

from pyspark import pipelines as dp

@dp.temporary_view(
  name="<name>",
  comment="<comment>")
@dp.expect(...)
def <function-name>():
    return (<query>)

Parameters

Parameter	Type	Description
function	function	Required. A function that returns an Apache Spark DataFrame or streaming DataFrame from a user-defined query.
name	str	The view name. If not provided, defaults to the function name. The name must be unique within the catalog and schema targeted by the pipeline.
comment	str	A description for the table.