On 14 Apr 2017, at 17:46, Afshin, Bardia
mailto:bardia.afs...@capitalone.com>> wrote:
Hello community.
I’m considering consuming s3 objects via Hadoop via s3a protocol. The main
purpose of this is to utilize Spark to access s3, and it seems like the only
formal protocol / integration for doing so is Hadoop. The process that I am
implementing is rather formal and straight forward. It will download the
contents of a s3 objects, remove some columns from the csv file, and PUT the
object into another bucket on s3. Is there any reason doing a simple GET on the
object is not as performant if not better than utilizing Hadoop s3a protocol?
This is the page that I’m getting my reference from
https://wiki.apache.org/hadoop/AmazonS3
1. use S3A.
https://www.slideshare.net/steve_l/apache-spark-and-object-stores-for-london-spark-user-group
2. Use Hadoop 2.8 for maximum performance.
3. consider using alternative formats than CSV for your data, as follow-on
processing suffers. Better use a column format like ORC and make effective use
of predicate pushdowns.
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