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https://issues.apache.org/jira/browse/HADOOP-12020?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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ASF GitHub Bot updated HADOOP-12020:
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Labels: pull-request-available (was: )
> Support AWS S3 reduced redundancy storage class
> -----------------------------------------------
>
> Key: HADOOP-12020
> URL: https://issues.apache.org/jira/browse/HADOOP-12020
> Project: Hadoop Common
> Issue Type: Sub-task
> Components: fs/s3
> Affects Versions: 2.7.0
> Environment: Hadoop on AWS
> Reporter: Yann Landrin-Schweitzer
> Assignee: Monthon Klongklaew
> Priority: Major
> Labels: pull-request-available
> Time Spent: 10m
> Remaining Estimate: 0h
>
> Amazon S3 uses, by default, the NORMAL_STORAGE class for s3 objects.
> This offers, according to Amazon's material, 99.99999999% reliability.
> For many applications, however, the 99.99% reliability offered by the
> REDUCED_REDUNDANCY storage class is amply sufficient, and comes with a
> significant cost saving.
> HDFS, when using the legacy s3n protocol, or the new s3a scheme, should
> support overriding the default storage class of created s3 objects so that
> users can take advantage of this cost benefit.
> This would require minor changes of the s3n and s3a drivers, using
> a configuration property fs.s3n.storage.class to override the default storage
> when desirable.
> This override could be implemented in Jets3tNativeFileSystemStore with:
> S3Object object = new S3Object(key);
> ...
> if(storageClass!=null) object.setStorageClass(storageClass);
> It would take a more complex form in s3a, e.g. setting:
> InitiateMultipartUploadRequest initiateMPURequest =
> new InitiateMultipartUploadRequest(bucket, key, om);
> if(storageClass !=null ) {
> initiateMPURequest =
> initiateMPURequest.withStorageClass(storageClass);
> }
> and similar statements in various places.
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