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Method aliasMethod coalesceMethod collectMethod colRegexMethod corrMethod countMethod covMethod describeMethod distinctMethod dropMethod dropDuplicatesMethod dropnaMethod exceptAllMethod fillnaMethod filterMethod foreachMethod groupByMethod headMethod intersectMethod intersectAllMethod joinMethod limitMethod orderByMethod printSchemaMethod randomSplitMethod repartitionMethod replaceMethod sampleMethod sampleByMethod selectMethod selectExprMethod showMethod sortMethod summaryMethod tailMethod takeMethod toDFMethod toJSONMethod toPandasMethod transformMethod unionMethod unionByNameMethod whereMethod withColumnMethod withColumnRenamedProperty columnsProperty dtypesProperty rdd
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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:
+----+---+|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
[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.
Published by Isshin Inada
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Official PySpark Documentation
https://spark.apache.org/docs/latest/api/python/reference/pyspark.sql/api/pyspark.sql.DataFrame.rdd.html
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