table (SparkSession)

Returns the specified table as a DataFrame.

Syntax

table(tableName)

Parameters

Parameter	Type	Description
tableName	str	The table name to retrieve.

Returns

DataFrame

Notes

In Spark Classic, a temporary view referenced in spark.table is resolved immediately. In Spark Connect, it is lazily analyzed, so if a view is dropped, modified, or replaced after spark.table, the execution may fail or generate different results.

Examples

Python

spark.range(5).createOrReplaceTempView("table1")
spark.table("table1").sort("id").show()
# +---+
# | id|
# +---+
# |  0|
# |  1|
# |  2|
# |  3|
# |  4|
# +---+