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Hadoop >> mail # user >> Feedback on real world production experience with Flume

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Re: Feedback on real world production experience with Flume
It seems pretty relevant. If you can directly log via NFS that is a
viable alternative.

On Sat, Apr 21, 2012 at 11:42 AM, alo alt <[EMAIL PROTECTED]> wrote:
> We decided NO product and vendor advertising on apache mailing lists!
> I do not understand why you'll put that closed source stuff from your employe in the room. It has nothing to do with flume or the use cases!
> --
> Alexander Lorenz
> http://mapredit.blogspot.com
> On Apr 21, 2012, at 4:06 PM, M. C. Srivas wrote:
>> Karl,
>> since you did ask for alternatives,  people using MapR prefer to use the
>> NFS access to directly deposit data (or access it).  Works seamlessly from
>> all Linuxes, Solaris, Windows, AIX and a myriad of other legacy systems
>> without having to load any agents on those machines. And it is fully
>> automatic HA
>> Since compression is built-in in MapR, the data gets compressed coming in
>> over NFS automatically without much fuss.
>> Wrt to performance,  can get about 870 MB/s per node if you have 10GigE
>> attached (of course, with compression, the effective throughput will
>> surpass that based on how good the data can be squeezed).
>> On Fri, Apr 20, 2012 at 3:14 PM, Karl Hennig <[EMAIL PROTECTED]> wrote:
>>> I am investigating automated methods of moving our data from the web tier
>>> into HDFS for processing, a process that's performed periodically.
>>> I am looking for feedback from anyone who has actually used Flume in a
>>> production setup (redundant, failover) successfully.  I understand it is
>>> now being largely rearchitected during its incubation as Apache Flume-NG,
>>> so I don't have full confidence in the old, stable releases.
>>> The other option would be to write our own tools.  What methods are you
>>> using for these kinds of tasks?  Did you write your own or does Flume (or
>>> something else) work for you?
>>> I'm also on the Flume mailing list, but I wanted to ask these questions
>>> here because I'm interested in Flume _and_ alternatives.
>>> Thank you!