Hi,

On Wed, Feb 4, 2009 at 8:00 PM, Luke <[email protected]> wrote:
>
> On Feb 4, 10:48 am, "S." <[email protected]> wrote:
>> "The mapreduce (MR) is currently supported by the Hadoop DFS only. "

This in fact is an editing error. I don't know why I wrote it the way
it. I have fixed the mistake. It should have said "(...) supported by
the Hadoop only."

> Don't be afraid to ask any questions here. We really appreciate them
> as we want to understand what our (new) users are thinking.
>
>> Is there any plan to implement a native Mapreduce support?
>
> For post 1.0 releases, we definitely thought about implementing some
> form of map-reduce that makes sense for our system.

My current integration efforts after doing 2 throw-away prototypes are here:

http://github.com/mateuszb/hypertable/tree/3206b864687cc565ffb9fe10e82f0b37bce7979b/src/cc/MapReduce

It's not much as things are moving slowly after work hours but still forward.
In case anyone is _really_ interested in lending a helping hand please
contact me.

>> Or are
>> Mapreduce algorithms so dependant of the filesystem that there is no
>> way to design a general support environment?

The file system is used mostly as a mean of distributing applications
in the cluster,
i.e. a scheduler copies an application to the DFS, and the location is
then broadcast to
the worker servers which then copy the application from the DFS and run it.

Other than that there's also a concept of providing output from the
mapreduce tasks.
The original implementation does output data into the DFS files.

But, thanks to Hypertable's DfsBroker the concept of a DFS is abstracted away,
so you can use both Hadoop DFS and KFS.

Mateusz

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