How can I find the priority used by a job running in Hadoop?
I tried to use Hadoop commands like hadoop job, yarn container, or mapred job, etc., but couldn't find how to get the running job priority.
You can use getJobPriority() method in your mapreduce code.
Use:
hadoop job -list
...it will show you the information of all running jobs with priority.
hadoop job -list all
...will show you the information of all the job(Running,Success,Fail) with priority.
Related
I need to get the id of a specific hadoop job.
In my case, I lunch a sqoop commande remotely and I went to verify the job status with this commande :
hadoop job -status job_id | grep -w 'state'
I can get this information from the GUI but i went to do something
can any one help me !!!
You can use the Yarn REST apis, via your browser or curl from the command line. It will list all the currently running and previously running jobs, including sqoop and the mapreduce jobs that sqoop generates and executes. Use the UI first, if you have it up and running just point your browser to http:<host>:8088/cluster (not sure if the port is the same on all hadoop distributions. I believe 8088 is the default on apache). Alternatively you can use yarn commands directly, e.g, yarn application -list.
Job tracker and Task tracker don't sow up when ran the start-all.sh command in ububtu for hadoop
I do get the rest of the processes while i run the "JPS" command in unix.
Not sure why i am not being shown with the job tracker and task tracker.Have been following couple of links and couldn't get my prob sorted.
Steps done :
-Multiple times formatted the namenode
-Multiple time deleted and recreated the tmp folder with appropriate permissions.
What could be the issue ?
Any suggestions would really help me as i am struggling in setting up hadoop on my laptop.I am new to it though.
Try starting jobtracker and tasktracker separately.
From your hadoop HOME directory run
. bin/../libexec/hadoop-config.sh
Then from hadoop BIN directory run
hadoop-daemon.sh --config $HADOOP_CONF_DIR start jobtracker
hadoop-daemon.sh --config $HADOOP_CONF_DIR start tasktracker
You must have been using hadoop 2.x version where jobtracker is replaced with YARN resource manager. Using jps(jdk is needed) you can check whether resouce manager is running. If it is running then the default url for it is (host-name):8088. You can check your nodes,jobs also configuration there.If not running then start them with sbin/start-yarn.sh.
I'm working by CDH 5.1 now. It starts normal Hadoop job by YARN but hive still works with mapred. Sometimes a big query will hang for a long time and I want to kill it.
I can find this big job by JobTracker web console while it didn't provide a button to kill it.
Another way is killing by command line. However, I couldn't find any job running by command line.
I have tried 2 commands:
yarn application -list
mapred job -list
How to kill big query like this?
You can get the Job ID from Hive CLI when you run a job or from the Web UI. You can also list the job IDs using the application ID from resource manager. Ideally, you should get everything from
mapred job -list
or
hadoop job -list
Using the Job ID you can kill it by using the below command.
hadoop job -kill <job_id>
Another alternative would be to kill the application using
yarn application -kill <application_id>
what's the difference between run a jar file with commands "hadoop jar " and "yarn -jar " ?
I've used the "hadoop jar" command on my MAC successfully but I want be sure that the execution is being correct and parallel on my four cores.
Thanks!!!
Short Answer
They are probably identical for you, but even if they aren't, they should both utilize your cluster to the best of its ability.
Longer Answer
The /usr/bin/yarn script sets up the execution environment so that all of the yarn commands can be run. The /usr/bin/hadoop script isn't quite as concerned about yarn specific functionality. However, if you have your cluster set up to use yarn as the default implementation of mapreduce (MRv2), then hadoop jar will probably act the same as yarn jar for a mapreduce job.
Either way you're probably fine, but you can always check the resource manager (or job tracker) web interface to see how your job is distributed across the cluster (whether it's a single node cluster or not)
I have been trying to find info on how to submit hadoop jobs through the command line.
I am aware of the command - hadoop jar jar-file main-class input output
There is also another command about which I am trying to find info, but havent been able to - hadoop job -submit job-file
What is a "job-file" and how do I create one? What is the basic difference between command (a.) and (b.) ? Which is a better option?
Thanks in advance.
Here is an Example of Job-file for running the wordcount Map-reduce job .
Similarly you can write job-file for your Map-Reduce jobs .
mapred.input.dir=data/file1.txt
mapred.output.dir=output
mapred.job.name=wordcount
mapred.mapper.class=edu.uci.ics.hyracks.examples.wordcount.WordCount$Map
mapred.combiner.class=edu.uci.ics.hyracks.examples.wordcount.WordCount$Reduce
mapred.reducer.class=edu.uci.ics.hyracks.examples.wordcount.WordCount$Reduce
mapred.input.format.class=org.apache.hadoop.mapred.TextInputFormat
mapred.output.format.class=org.apache.hadoop.mapred.TextOutputFormat
mapred.mapoutput.key.class=org.apache.hadoop.io.Text
mapred.mapoutput.value.class=org.apache.hadoop.io.IntWritable
mapred.output.key.class=org.apache.hadoop.io.Text
mapred.output.value.class=org.apache.hadoop.io.IntWritable
For me the "Hadoop Jar" is better coz , configuration done in job-file can be easily done in the program itself .
Thanks