Yes, just use an identity mapper (in new API, the base Mapper class itself identity-maps, in the old API use IdentityMapper class) and set the input path as the output path of the first job.
If you'll be ending up doing more such step-wise job chaining, consider using Apache Oozie's workflow system. On Sun, Mar 24, 2013 at 7:23 PM, Fatih Haltas <fatih.hal...@nyu.edu> wrote: > Thank you very much. > > You are right Harsh, it is exactly what i am trying to do. > > I want to process my result, according to the keys and i donot spend time > writing this data to hdfs, I want to pass data as input to another reduce. > > One more question then, > Creating 2 diffirent job, secondone has only reduce for example, is it > possible to pass first jobs output as argument to second job? > > > On Sun, Mar 24, 2013 at 5:44 PM, Harsh J <ha...@cloudera.com> wrote: >> >> You seem to want to re-sort/partition your data without materializing >> it onto HDFS. >> >> Azuryy is right: There isn't a way right now and a second job (with an >> identity mapper) is necessary. With YARN this is more possible to >> implement into the project, though. >> >> The newly inducted incubator project Tez sorta targets this. Its in >> its nascent stages though (for general user use), and the website >> should hopefully appear at >> http://incubator.apache.org/projects/tez.html soon. Meanwhile, you can >> read the proposal behind this project at >> http://wiki.apache.org/incubator/TezProposal. Initial sources are at >> https://svn.apache.org/repos/asf/incubator/tez/trunk/. >> >> On Sun, Mar 24, 2013 at 6:33 PM, Fatih Haltas <fatih.hal...@nyu.edu> >> wrote: >> > I want to get reduce output as key and value then I want to pass them to >> > a >> > new reduce as input key and input value. >> > >> > So is there any Map-Reduce-Reduce kind of method? >> > >> > Thanks to all. >> >> >> >> -- >> Harsh J > > -- Harsh J
