[SPARK-36024] Switch the datasource example due to the depreciation of the dataset

• Type: Documentation
• Status: Open
• Priority: Trivial
• Resolution: Unresolved
• Affects Version/s: 3.1.2
• Component/s: Documentation
• Assignee: Unassigned
• Reporter: Leona Yoda
• Created: 06/Jul/21 05:01
• Updated: 31/Jan/24 15:59

Description

The S3 bucket that used for an example in "Integration with Cloud Infrastructures" document will be deleted on Jul 1, 2021 https://registry.opendata.aws/landsat-8/ 

The dataset will move to another bucket but it requires `--request-payer requester` option so users have to pay S3 cost. https://registry.opendata.aws/usgs-landsat/

 

So I think it's better to change the datasource like this.

https://github.com/yoda-mon/spark/commit/cdb24acdbb57a429e5bf1729502653b91a600022

 

I chose [NYC Taxi data| https://registry.opendata.aws/nyc-tlc-trip-records-pds/] here for an example.
Unlike landat data it's not compressed, but it is just an example and there are several tutorials using Spark  (e.g. https://github.com/aws-samples/amazon-eks-apache-spark-etl-sample)

 

Reed test result

scala> sc.textFile("s3a://nyc-tlc/misc/taxi _zone_lookup.csv").take(10).foreach(println) "LocationID","Borough","Zone","service_zone" 1,"EWR","Newark Airport","EWR" 2,"Queens","Jamaica Bay","Boro Zone" 3,"Bronx","Allerton/Pelham Gardens","Boro Zone" 4,"Manhattan","Alphabet City","Yellow Zone" 5,"Staten Island","Arden Heights","Boro Zone" 6,"Staten Island","Arrochar/Fort Wadsworth","Boro Zone" 7,"Queens","Astoria","Boro Zone" 8,"Queens","Astoria Park","Boro Zone" 9,"Queens","Auburndale","Boro Zone"

Issue Links

• relates to: HADOOP-19057 S3 public test bucket landsat-pds unreadable -needs replacement
• relates to: HADOOP-17784 hadoop-aws landsat-pds test bucket will be deleted after Jul 1, 2021