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ParametersReturn ValueExamplesConverting a PySpark RDD into a list of values
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chevron_leftPySpark RDD
Method coalesceMethod collectMethod collectAsMapMethod countMethod countByKeyMethod filterMethod firstMethod getNumPartitionsMethod glomMethod keysMethod mapMethod partitionByMethod reduceByKeyMethod repartitionMethod zipMethod zipWithIndex
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PySpark RDD | collect method

schedule Aug 12, 2023
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PySpark RDD's collect(~) method returns a list containing all the items in the RDD.

Parameters

This method does not take in any parameters.

Return Value

A Python standard list.

Examples

Converting a PySpark RDD into a list of values

Consider the following RDD:

rdd = sc.parallelize([4,2,5,7])
rdd
ParallelCollectionRDD[7] at readRDDFromInputStream at PythonRDD.scala:413

This RDD is partitioned into 8 subsets:

8

Depending on your configuration, these 8 partitions can reside in multiple machines (working nodes). The collect(~) method sends all the data of the RDD to the driver node, and packs them in a single list:

rdd = sc.parallelize([4,2,5,7])
rdd.collect()
[4, 2, 5, 7]
WARNING

All the data from the worker nodes will be sent to the driver node, so make sure that you have enough memory for the driver node - otherwise you'll end up with an OutOfMemory error!

robocat
Published by Isshin Inada
Edited by 0 others
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Official PySpark Documentation
https://spark.apache.org/docs/3.1.1/api/python/reference/api/pyspark.RDD.collect.html
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