parallelize() method is the SparkContext's parallelize method to create a parallelized collection. This allows Spark to distribute the data across multiple nodes, instead of depending on a single node to process the data: Now that we have created ... Get PySpark Cookbook now with O'Reilly online learning.
What is the use of parallelize?
Parallelize is a method to create an RDD from an existing collection (For e.g Array) present in the driver. The elements present in the collection are copied to form a distributed dataset on which we can operate on in parallel.
How do you parallelize data in Spark?
Parallelise in Spark Using RDD
- RDD is usually created from an external data source. It could be a CSV file, JSON file, or simply a database for that matter. ...
- After the first step, RDD would go through a few parallel transformations like filter, map, groupBy, and join. ...
- The last stage is about action; it always is.
