February 2017
Intermediate to advanced
274 pages
5h 58m
English
Content preview from Learning PySparkBecome an O’Reilly member and get unlimited access to this title plus top books and audiobooks from O’Reilly and nearly 200 top publishers, thousands of courses curated by job role, 150+ live events each month,
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Creating RDDs
There are two ways to create an RDD in PySpark: you can either .parallelize(...) a collection (list or an array of some elements):
data = sc.parallelize(
[('Amber', 22), ('Alfred', 23), ('Skye',4), ('Albert', 12),
('Amber', 9)])Or you can reference a file (or files) located either locally or somewhere externally:
data_from_file = sc.\
textFile(
'/Users/drabast/Documents/PySpark_Data/VS14MORT.txt.gz',
4)
Note
We downloaded the Mortality dataset VS14MORT.txt file from (accessed on July 31, 2016) ftp://ftp.cdc.gov/pub/Health_Statistics/NCHS/Datasets/DVS/mortality/mort2014us.zip; the record schema is explained in this document http://www.cdc.gov/nchs/data/dvs/Record_Layout_2014.pdf. We selected this dataset on purpose: The encoding of the ...
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I'm always learning. So when I got on to O'Reilly, I was like a kid in a candy store. There are playlists. There are answers. There's on-demand training. It's worth its weight in gold, in terms of what it allows me to do.