table (SparkSession)
Returns the specified table as a DataFrame.
Syntax
table(tableName)
Parameters
Parameter | Type | Description |
|---|---|---|
| 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|
# +---+