I am setting some custom values on my job configuration:
Configuration conf = new Configuration();
conf.set(job.time.from, time_from);
conf.set(job.time.until, time_until);
Cluster cluster = new
This will likely break most programs you try to run. Many mapper
implementations are not thread safe.
That having been said, if you want to force all programs using the old API
(org.apache.hadoop.mapred.*) to run on the multithreaded maprunner, you can
do this by setting mapred.map.runner.class
I have a problem where I am using Java and the hadoop APIS to run a map
reduce job on data that can be considered as a set of lines of text.
At the reduce stage I have a collection of lines of text to process in a
convenient order. There are a number of programs written in Python or Perl
which
can
Hi all,
We have a MapReduce job writing a Lucene index (modeled closely after the
example in contrib), and we keep hitting out of memory exceptions in the reduce
phase once the number of files grows large.
Here are the relevant non-default values in our mapred-site.xml:
