I'm afraid I don't know if there are open-sourced implementations of those
two algorithms, but there are a bunch of example programs in the
hadoop-mapreduce-examples*.jar that gets built / distributed.
Valid program names are:
aggregatewordcount: An Aggregate based map/reduce program that counts the
words in the input files.
aggregatewordhist: An Aggregate based map/reduce program that computes
the histogram of the words in the input files.
dbcount: An example job that count the pageview counts from a database.
grep: A map/reduce program that counts the matches of a regex in the
join: A job that effects a join over sorted, equally partitioned datasets
multifilewc: A job that counts words from several files.
pentomino: A map/reduce tile laying program to find solutions to
pi: A map/reduce program that estimates Pi using monte-carlo method.
randomtextwriter: A map/reduce program that writes 10GB of random textual
data per node.
randomwriter: A map/reduce program that writes 10GB of random data per
secondarysort: An example defining a secondary sort to the reduce.
sleep: A job that sleeps at each map and reduce task.
sort: A map/reduce program that sorts the data written by the random
sudoku: A sudoku solver.
teragen: Generate data for the terasort
terasort: Run the terasort
teravalidate: Checking results of terasort
wordcount: A map/reduce program that counts the words in the input files.
On Mon, May 7, 2012 at 3:56 PM, Shuai Zheng <[EMAIL PROTECTED]>wrote:
> Hi all,
> I am student working on Hadoop 0.20.203.0.
> I want to monitor the system resource utilization of pagerank and/or
> shortest path hadoop program. I only need to monitor the system, so I did
> not write any hadoop programs.
> I want to ask for some example codes (with many iterations) and dataset
> from you. Algorithms such as:
> 1. Pagerank
> 2. Shortest path
> (This is not necessary) it is better that the program can output log info
> for iteration start time and stop time.
> If you know any public example code, or you have your own code, and would
> like to share with me (in case any related publication using your code in
> the future, your contribution will be acknowledged.), please send me a
> Thank you and best regards,