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# PySpark DataFrame | rdd property

schedule Aug 12, 2023
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PySpark DataFrame's rdd property returns the RDD representation of the DataFrame. Keep in mind that PySpark DataFrames are internally represented as RDD.

# Return Value

RDD containing Row objects.

# Examples

Consider the following PySpark DataFrame:

df = spark.createDataFrame([["Alex", 25], ["Bob", 30]], ["name", "age"])
df.show()
+----+---+
|name|age|
+----+---+
|Alex| 25|
| Bob| 30|
+----+---+

## Converting PySpark DataFrame into RDD

To convert our PySpark DataFrame into a RDD, use the rdd property:

rdd = df.rdd
rdd.collect()
[Row(name='Alex', age=25), Row(name='Bob', age=30)]

Here, we are using the collect() method to see the content of our RDD, which is a list of Row objects.

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