One more question. Just downloaded Hadoop 0.20.203.0 considered to be
last stable release. What about JobConf vs. Confirguration classes. What
should I use to avoid wrong approaches, because JobConf seems to be
depricated.
Sorry for bothering you with this questions. I'm just not used to having
depricated things in my projects.
Thanks.
On 01/25/2012 01:46 PM, Ondřej Klimpera wrote:
I'm using 1.0.0 beta, suppose it was wrong decision to use beta
version. So do you recommend using 0.20.203.X and stick to Hadoop
definitive guide approaches?
Thanks for your reply
On 01/25/2012 01:41 PM, Harsh J wrote:
Oh and btw, do not fear the @deprecated 'Old' API. We have
undeprecated it in the recent stable releases, and will continue to
support it for a long time. I'd recommend using the older API, as that
is more feature complete and test covered in the version you use.
On Wed, Jan 25, 2012 at 6:09 PM, Harsh J<[email protected]> wrote:
What version/release/distro of Hadoop are you using? Apache releases
got the new (unstable) API MultipleOutputs only in 0.21+, and was only
very recently backported to branch-1.
That said, the next release in 1.x (1.1.0, out soon) will carry the
new API MultipleOutputs, but presently no release in 0.20.xxx/1.x has
it.
I'd still recommend sticking to stable API if you are using a
0.20.x/1.x stable Apache release.
On Wed, Jan 25, 2012 at 5:13 PM, Ondřej
Klimpera<[email protected]> wrote:
Hello,
I'm trying to develop an application, where Reducer has to produce
multiple
outputs.
In detail I need the Reducer to produce two types of files. Each
file will
have different output.
I found in Hadoop, The Definitive Guide, that new API uses only
MultipleOutputs, but working with MultipleOutputs requires JobConf
instace,
that is @deprecated (I'm using org.apache.hadoop.mapreduce.Job
instance to
handle job configuration).
So I'm wondering how to get MultipleOutputs working.
Can you please provide me some short example or explanation.
Thanks for your reply.
Regards
Ondrej Klimpera
--
Harsh J
Customer Ops. Engineer, Cloudera
