Hi,
I am currently doing some research on distributed database that can be
scaled easily in terms of storage capacity.
The reason is to use it on the brazilian federal project called
"portal do aluno" wich will have around 10 million kids accessing it
monthly. The idea is to build a portal simila
Hi there-
I didn't see the option in the thread yet which seems pretty straightforward:
When setting up the job:
Job job = new Job(conf, "my job");
...
conf.setStrings("param", "param1");
And then in the map method:
String paramVal = context.getConfiguration().get(
Interesting... I haven't tried this yet.. but in this case what would you
specify as the 'InputPath'? I was under the assumption that a Job needs some
kind of InputPath.. no? I don't see a NullInputPath. Is there something
equivalent?
From: Doug Meil
To: "
The job still needs everything else (input path, output path, mapper-class,
etc.). This is trying to address the parameter-passing question of how
parameters can be passed to mappers/reducers.
Correction: there is a bug in my example... Since I'm reading the parameter
with a 'get() ' I shoul
Hi
I get the following error on executing a map-reduce application on EC2.
Can any one please pass suggest some pointers what is going wrong?
I tried searching the mailing list, but couldnt find any help regarding this
type of error.
*[r...@ip-10-243-47-69 hadoop-0.19.0]# bin/hadoop jar lubm.jar
