1) Could you print the output of:
$ jar tf ./NumericPartitioner.jar
2) Could you try:
$ export HADOOP_CLASSPATH="$HADOOP_CLASSPATH:./NumericPartitioner.jar"
$ ../bin/hadoop jar ../contrib/streaming/hadoop-streaming-1.2.1.jar \
-libjars ./NumericPartitioner.jar \
-input /input -output /output/keys
Can not you specify such a file to process as Path in
MultipleInputs.addInputPath?
1) MultipleInputs.addInputPath(job, new Path(args[0] + "/part-0"),
TextInputFormat.class, Data1.class)
or
2) MultipleInputs.addInputPath(job, new Path(args[0] +
"/part-{1-2,5,8-9}"), TextInputFormat.class, D
I watched the video in it but I cannot access its source code due to
permission issue.
In my opinion, once the decision tree model is built, the model is small
enough to be loaded into memory and can be used directly without another
mrjob for prediction. The prediction can be conducted in a streami
> I know I could just write a script that examines the output from the
> reducers and picks out the value with the highest temperature.
>
In general, I think that this is an acceptable solution.
However, if you have a very large number of reducer (let's say, large
hundreds or thousands), then rea
Take a look at this API (and its variants):
http://hadoop.apache.org/docs/current/api/org/apache/hadoop/fs/FileSystem.html#create(org.apache.hadoop.fs.Path,%20boolean)
On Nov 30, 2013, at 12:54 AM, unmesha sreeveni wrote:
> Hi all
> How to create a folder in hdfs using java code
>
> I
I have gone through a Map Reduce implementation of c4.5 in
http://btechfreakz.blogspot.in/2013/04/implementation-of-c45-algorithm-using.html
Here a decision tree is build. So my doubt is
Can we also include the prediction along with that?
On Tue, Nov 26, 2013 at 8:52 AM, Yexi Jiang wrote:
> Y
Hi all
How to create a folder in hdfs using java code
I tried
Path folder = new Path("dir1");
But it is not created in hdfs. And i also tried it in eclipse. There also
the folder is not creating.
--
*Thanks & Regards*
Unmesha Sreeveni U.B
*Junior Developer*
