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https://issues.apache.org/jira/browse/SPARK-36024?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17388969#comment-17388969
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Steve Loughran commented on SPARK-36024:
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yes, you can change the example. For hadoop we're trying to keep the landsat
file around, because removing it breaks regression testing all old releases.
> Switch the datasource example due to the depreciation of the dataset
> --------------------------------------------------------------------
>
> Key: SPARK-36024
> URL: https://issues.apache.org/jira/browse/SPARK-36024
> Project: Spark
> Issue Type: Documentation
> Components: Documentation
> Affects Versions: 3.1.2
> Reporter: Leona Yoda
> Priority: Trivial
>
> 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/
> |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/|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
> {code:java}
> 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"
> {code}
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