createTempView

Creates a local temporary view with this DataFrame.

Syntax

createTempView(name: str)

Parameters

Parameter	Type	Description
name	str	Name of the view.

Parameter	Type	Description
name	str	Name of the view.

Notes

The lifetime of this temporary table is tied to the SparkSession that was used to create this DataFrame. throws TempTableAlreadyExistsException, if the view name already exists in the catalog.

Examples

Python

df = spark.createDataFrame([(2, "Alice"), (5, "Bob")], schema=["age", "name"])
df.createTempView("people")
spark.sql("SELECT * FROM people").show()
# +---+-----+
# |age| name|
# +---+-----+
# |  2|Alice|
# |  5|  Bob|
# +---+-----+

df.createTempView("people")  # doctest: +IGNORE_EXCEPTION_DETAIL
# Traceback (most recent call last):
# ...
# AnalysisException: "Temporary table 'people' already exists;"

spark.catalog.dropTempView("people")
# True
df.createTempView("people")

df1 = spark.createDataFrame([(1, "John"), (2, "Jane")], schema=["id", "name"])
df2 = spark.createDataFrame([(3, "Jake"), (4, "Jill")], schema=["id", "name"])
df1.createTempView("table1")
df2.createTempView("table2")
result_df = spark.table("table1").union(spark.table("table2"))
result_df.show()
# +---+----+
# | id|name|
# +---+----+
# |  1|John|
# |  2|Jane|
# |  3|Jake|
# |  4|Jill|
# +---+----+