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From "Yi Liu (JIRA)" <j...@apache.org>
Subject [jira] [Commented] (HADOOP-10150) Hadoop cryptographic file system
Date Mon, 09 Dec 2013 12:14:08 GMT

    [ https://issues.apache.org/jira/browse/HADOOP-10150?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=13843097#comment-13843097
] 

Yi Liu commented on HADOOP-10150:
---------------------------------

Hi Owen, thanks for bringing it up here. I am working on breaking down the patches and creating
sub-task JIRAs as already mentioned in my previous response. Rest of your comment seems to
be about a different JIRA and is probably best discussed on that JIRA.

* HADOOP-10149: since I have that patch already implemented, do you mind assigning it to me?
I will take that piece of code and apply there for review.
* Since HADOOP-10141 tries to improve on HADOOP-9333, why not provide your feedback on HADOOP-9333
instead of opening a JIRA that duplicates part of that work?


> Hadoop cryptographic file system
> --------------------------------
>
>                 Key: HADOOP-10150
>                 URL: https://issues.apache.org/jira/browse/HADOOP-10150
>             Project: Hadoop Common
>          Issue Type: New Feature
>          Components: security
>    Affects Versions: 3.0.0
>            Reporter: Yi Liu
>            Assignee: Yi Liu
>              Labels: rhino
>             Fix For: 3.0.0
>
>         Attachments: CryptographicFileSystem.patch, HADOOP cryptographic file system.pdf
>
>
> There is an increasing need for securing data when Hadoop customers use various upper
layer applications, such as Map-Reduce, Hive, Pig, HBase and so on.
> HADOOP CFS (HADOOP Cryptographic File System) is used to secure data, based on HADOOP
“FilterFileSystem” decorating DFS or other file systems, and transparent to upper layer
applications. It’s configurable, scalable and fast.
> High level requirements:
> 1.	Transparent to and no modification required for upper layer applications.
> 2.	“Seek”, “PositionedReadable” are supported for input stream of CFS if the
wrapped file system supports them.
> 3.	Very high performance for encryption and decryption, they will not become bottleneck.
> 4.	Can decorate HDFS and all other file systems in Hadoop, and will not modify existing
structure of file system, such as namenode and datanode structure if the wrapped file system
is HDFS.
> 5.	Admin can configure encryption policies, such as which directory will be encrypted.
> 6.	A robust key management framework.
> 7.	Support Pread and append operations if the wrapped file system supports them.



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