Uses of Interface
org.apache.hadoop.mapred.RunningJob

Packages that use RunningJob

org.apache.hadoop.mapred	A software framework for easily writing applications which process vast amounts of data (multi-terabyte data-sets) parallelly on large clusters (thousands of nodes) built of commodity hardware in a reliable, fault-tolerant manner.
org.apache.hadoop.mapred.pipes	Hadoop Pipes allows C++ code to use Hadoop DFS and map/reduce.
org.apache.hadoop.streaming	Hadoop Streaming is a utility which allows users to create and run Map-Reduce jobs with any executables (e.g.

Uses of RunningJob in org.apache.hadoop.mapred

Methods in org.apache.hadoop.mapred that return RunningJob

RunningJob	JobClient.getJob(JobID jobid) Get an RunningJob object to track an ongoing job.
RunningJob	JobClient.getJob(String jobid) Deprecated. Applications should rather use JobClient.getJob(JobID).
static RunningJob	JobClient.runJob(JobConf job) Utility that submits a job, then polls for progress until the job is complete.
RunningJob	JobClient.submitJob(JobConf job) Submit a job to the MR system.
RunningJob	JobClient.submitJob(String jobFile) Submit a job to the MR system.

Uses of RunningJob in org.apache.hadoop.mapred.pipes

Methods in org.apache.hadoop.mapred.pipes that return RunningJob

static RunningJob

Submitter.submitJob(JobConf conf) Submit a job to the map/reduce cluster.

Uses of RunningJob in org.apache.hadoop.streaming

Fields in org.apache.hadoop.streaming declared as RunningJob

protected RunningJob

StreamJob.running_