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From "Thomas Demoor (JIRA)" <j...@apache.org>
Subject [jira] [Updated] (HADOOP-11183) Memory-based S3AOutputstream
Date Fri, 30 Jan 2015 16:25:36 GMT

     [ https://issues.apache.org/jira/browse/HADOOP-11183?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]

Thomas Demoor updated HADOOP-11183:
-----------------------------------
    Attachment: HADOOP-11183.002.patch

002.patch: see 003.patch for basic functionality but this patch uses statistics collection
similar to S3AOutputStream, which is different from what HDFS does. It counts bytes at the
server side, thus double counting retried bytes and counts each partUpload of a MultiPartUpload
as a write operation. 

(a related note: The swift fs code does not even seem to do write operation counting) 


> Memory-based S3AOutputstream
> ----------------------------
>
>                 Key: HADOOP-11183
>                 URL: https://issues.apache.org/jira/browse/HADOOP-11183
>             Project: Hadoop Common
>          Issue Type: Improvement
>          Components: fs/s3
>    Affects Versions: 2.6.0
>            Reporter: Thomas Demoor
>            Assignee: Thomas Demoor
>         Attachments: HADOOP-11183.001.patch, HADOOP-11183.002.patch, info-S3AFastOutputStream-sync.md
>
>
> Currently s3a buffers files on disk(s) before uploading. This JIRA investigates adding
a memory-based upload implementation.
> The motivation is evidently performance: this would be beneficial for users with high
network bandwidth to S3 (EC2?) or users that run Hadoop directly on an S3-compatible object
store (FYI: my contributions are made in name of Amplidata). 



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