KMeans Clustering Now Running on Elastic MapReduce

 
Thread Tools Search this Thread
Special Forums News, Links, Events and Announcements Complex Event Processing RSS News KMeans Clustering Now Running on Elastic MapReduce
# 1  
Old 04-19-2009
KMeans Clustering Now Running on Elastic MapReduce

Tim Bass
04-19-2009 10:53 AM


Source...
Login or Register to Ask a Question

Previous Thread | Next Thread

2 More Discussions You Might Find Interesting

1. UNIX for Advanced & Expert Users

Efficient UNIX Memory management for Running MapReduce Jobs.

We are trying to set up a single node cloudera hadoop cluster having 16 GB as RAM on linux machine. We are setting up 5.4.2 version. Now when we check statistics post the installation and run the top command we find that only 1 -2 GB is available. when we trigger map reduce sample job - no... (2 Replies)
Discussion started by: ketankirange
2 Replies

2. Virtualization and Cloud Computing

Running MySQL on Amazon EC2 with Elastic Block Store

Here is an excellent article on Running MySQL on Amazon EC2 with Elastic Block Store. Amazon Web Services Developer Connection : Running MySQL on Amazon EC2 with Elastic Block Store (0 Replies)
Discussion started by: Neo
0 Replies
Login or Register to Ask a Question
GEARMAN_JOB_STATUS(3)							 1						     GEARMAN_JOB_STATUS(3)

GearmanClient::jobStatus - Get the status of a background job

       Object oriented style (method):

SYNOPSIS
public array GearmanClient::jobStatus (string $job_handle) DESCRIPTION
Gets the status for a background job given a job handle. The status information will specify whether the job is known, whether the job is currently running, and the percentage completion. PARAMETERS
o $job_handle - The job handle assigned by the Gearman server RETURN VALUES
An array containing status information for the job corresponding to the supplied job handle. The first array element is a boolean indicat- ing whether the job is even known, the second is a boolean indicating whether the job is still running, and the third and fourth elements correspond to the numerator and denominator of the fractional completion percentage, respectively. EXAMPLES
Example #1 Monitor the status of a long running background job <?php /* create our object */ $gmclient= new GearmanClient(); /* add the default server */ $gmclient->addServer(); /* run reverse client */ $job_handle = $gmclient->doBackground("reverse", "this is a test"); if ($gmclient->returnCode() != GEARMAN_SUCCESS) { echo "bad return code "; exit; } $done = false; do { sleep(3); $stat = $gmclient->jobStatus($job_handle); if (!$stat[0]) // the job is known so it is not done $done = true; echo "Running: " . ($stat[1] ? "true" : "false") . ", numerator: " . $stat[2] . ", denomintor: " . $stat[3] . " "; } while(!$done); echo "done! "; ?> The above example will output something similar to: Running: true, numerator: 3, denomintor: 14 Running: true, numerator: 6, denomintor: 14 Running: true, numerator: 9, denomintor: 14 Running: true, numerator: 12, denomintor: 14 Running: false, numerator: 0, denomintor: 0 done! SEE ALSO
GearmanClient::doStatus. PHP Documentation Group GEARMAN_JOB_STATUS(3)