I tried to run the example program present in Hadoop. However, I'm not successful in getting the output.
I have included my logs below. Please help in solving the issue.
hdfs#localhost:~$ hadoop jar '/opt/hadoop-2.6.0/share/hadoop/mapreduce/hadoop-mapreduce-examples-2.6.0.jar' wordcount /README.txt /ooo
15/08/21 09:48:26 INFO client.RMProxy: Connecting to ResourceManager at localhost/127.0.0.1:8050
15/08/21 09:48:28 INFO input.FileInputFormat: Total input paths to process : 1
15/08/21 09:48:28 INFO mapreduce.JobSubmitter: number of splits:1
15/08/21 09:48:28 INFO mapreduce.JobSubmitter: Submitting tokens for job: job_1440130528838_0001
15/08/21 09:48:29 INFO impl.YarnClientImpl: Submitted application application_1440130528838_0001
15/08/21 09:48:29 INFO mapreduce.Job: The url to track the job: http://localhost:8088/proxy/application_1440130528838_0001/
15/08/21 09:48:29 INFO mapreduce.Job: Running job: job_1440130528838_0001
The mapreduce seems working, there is no error logs which appears.
1/ Can you please detail furthermore your logs?!
2/ Your output folder /ooo is created?? If yes what its contents?!
3/ Verify please if your input file is not empty.
Related
I have installed Cloudera 5.8 in a Linux RHEL 7.2 instance of Amazon EC2. I have logged in with SSH and I am trying to run the wordcount example for testing mapreduce operation with the following command:
hadoop jar /opt/cloudera/parcels/CDH-5.8.0-1.cdh5.8.0.p0.42/lib/hadoop-mapreduce/hadoop-mapreduce-examples.jar wordcount archivo.txt output
The problem is that the wordcount program is blocked and it not produces the output. Only the following is prompted:
16/08/11 13:10:02 INFO client.RMProxy: Connecting to ResourceManager at ip-172-31-22-226.ec2.internal/172.31.22.226:8032
16/08/11 13:10:03 INFO input.FileInputFormat: Total input paths to process : 1
16/08/11 13:10:03 INFO mapreduce.JobSubmitter: number of splits:1
16/08/11 13:10:04 INFO mapreduce.JobSubmitter: Submitting tokens for job: job_1470929244097_0007
16/08/11 13:10:04 INFO impl.YarnClientImpl: Submitted application application_1470929244097_0007
16/08/11 13:10:04 INFO mapreduce.Job: The url to track the job: http://ip-172-31-22-226.ec2.internal:8088/proxy/application_1470929244097_0007/
16/08/11 13:10:04 INFO mapreduce.Job: Running job: job_1470929244097_0007
And then get blocked since "Running job". After this I have to press Ctrl+C for unblock and it not produces the output.
Anyone that knows why?. I think it is probably a configuration issue and I am new to DataNodes and so on.
Thanks a lot.
Looks like there are no resources (map or reducer slots), job is waiting for resources. You can check the job status on.
http://ip-172-31-22-226.ec2.internal:8088
When running the Hadoop word count example the first time it fails. Here's what I'm doing:
Format namenode: $HADOOP_HOME/bin/hdfs namenode -format
Start HDFS/YARN:
$HADOOP_HOME/sbin/start-dfs.sh
$HADOOP_HOME/sbin/start-yarn.sh
$HADOOP_HOME/sbin/yarn-daemon.sh start nodemanager
Run wordcount: hadoop jar $HADOOP_HOME/share/hadoop/mapreduce/hadoop-mapreduce-examples-2.7.2.jar wordcount input output
(let's say input folder is already in HDFS I'm not gonna put every single command here)
Output:
16/07/17 01:04:34 INFO client.RMProxy: Connecting to ResourceManager at hadoop-master/172.20.0.2:8032
16/07/17 01:04:35 INFO input.FileInputFormat: Total input paths to process : 2
16/07/17 01:04:35 INFO mapreduce.JobSubmitter: number of splits:2
16/07/17 01:04:36 INFO mapreduce.JobSubmitter: Submitting tokens for job: job_1468688654488_0001
16/07/17 01:04:36 INFO impl.YarnClientImpl: Submitted application application_1468688654488_0001
16/07/17 01:04:36 INFO mapreduce.Job: The url to track the job: http://hadoop-master:8088/proxy/application_1468688654488_0001/
16/07/17 01:04:36 INFO mapreduce.Job: Running job: job_1468688654488_0001
16/07/17 01:04:46 INFO mapreduce.Job: Job job_1468688654488_0001 running in uber mode : false
16/07/17 01:04:46 INFO mapreduce.Job: map 0% reduce 0%
Terminated
And then HDFS crashes so I can't access http://localhost:50070/
Then I restart eveyrthing (repeat step 2), rerun the example and everything's fine.
How can I fix it for the first run? My HDFS obviously has no data the first time around, maybe that's the problem?
UPDATE:
Running an even simpler example fails as well:
hadoop#8f98bf86ceba:~$ hadoop jar $HADOOP_HOME/share/hadoop/mapreduce/hadoop-mapreduce-examples*.jar pi 3 3
Number of Maps = 3
Samples per Map = 3
Wrote input for Map #0
Wrote input for Map #1
Wrote input for Map #2
Starting Job
16/07/17 03:21:28 INFO client.RMProxy: Connecting to ResourceManager at hadoop-master/172.20.0.3:8032
16/07/17 03:21:29 INFO input.FileInputFormat: Total input paths to process : 3
16/07/17 03:21:29 INFO mapreduce.JobSubmitter: number of splits:3
16/07/17 03:21:29 INFO mapreduce.JobSubmitter: Submitting tokens for job: job_1468696855031_0001
16/07/17 03:21:31 INFO impl.YarnClientImpl: Submitted application application_1468696855031_0001
16/07/17 03:21:31 INFO mapreduce.Job: The url to track the job: http://hadoop-master:8088/proxy/application_1468696855031_0001/
16/07/17 03:21:31 INFO mapreduce.Job: Running job: job_1468696855031_0001
16/07/17 03:21:43 INFO mapreduce.Job: Job job_1468696855031_0001 running in uber mode : false
16/07/17 03:21:43 INFO mapreduce.Job: map 0% reduce 0%
Same problem, HDFS terminates
Your post looks incomplete to deduce what is wrong here. My guess is that hadoop-mapreduce-examples-2.7.2-sources.jar is not what you want. More likely you need hadoop-mapreduce-examples-2.7.2.jar containing .class files and not the sources.
HDFS has to be restarted the first time before MapReduce jobs can be successfully ran. This is because HDFS creates some data on the first run but stopping it can clean up its state so MapReduce jobs can be ran through YARN afterwards.
So my solution was:
Start Hadoop: $HADOOP_HOME/sbin/start-dfs.sh
Stop Hadoop: $HADOOP_HOME/sbin/stop-dfs.sh
Start Hadoop again: $HADOOP_HOME/sbin/start-dfs.sh
I was running hadoop program (wordcount) in Horton sandbox. And the situation occurred as below. Especially, this is the program I had ran successfully for many times on exactly the same virtual machine I used, however this time it "failed" without any notification, so it just stuck there. I tried other mapreduce program, the results are similar. Normally, the command lines will notify me with ubermode : false, follows by the Running job..., but this time, it doesn't, and out of no reason.
[root#sandbox ~]# hadoop jar testWC.jar testWC.WCdriver /data/input/pg103.txt /data/output/WC
WARNING: Use "yarn jar" to launch YARN applications.
16/03/11 19:20:01 INFO impl.TimelineClientImpl: Timeline service address: http://sandbox.hortonworks.com:8188/ws/v1/timeline/
16/03/11 19:20:01 INFO client.RMProxy: Connecting to ResourceManager at sandbox.hortonworks.com/10.0.2.15:8050
16/03/11 19:20:01 WARN mapreduce.JobResourceUploader: Hadoop command-line option parsing not performed. Implement the Tool interface and execute your application with ToolRunner to remedy this.
16/03/11 19:20:02 INFO input.FileInputFormat: Total input paths to process : 1
16/03/11 19:20:02 INFO mapreduce.JobSubmitter: number of splits:1
16/03/11 19:20:02 INFO mapreduce.JobSubmitter: Submitting tokens for job: job_1457723341319_0002
16/03/11 19:20:03 INFO impl.YarnClientImpl: Submitted application application_1457723341319_0002
16/03/11 19:20:03 INFO mapreduce.Job: The url to track the job: http://sandbox.hortonworks.com:8088/proxy/application_1457723341319_0002/
16/03/11 19:20:03 INFO mapreduce.Job: Running job: job_1457723341319_0002
The program just could not move on anymore.
I have a mapreduce job and I ran it with YARN mode. But why my mapreduce job stop and not continue while running job step? It's like this :
15/04/04 17:18:21 INFO impl.YarnClientImpl: Submitted application application_1428142358448_0002
15/04/04 17:18:21 INFO mapreduce.Job: The url to track the job: http://master:8088/proxy/application_1428142358448_0002/
15/04/04 17:18:21 INFO mapreduce.Job: Running job: job_1428142358448_0002
And that's stop here. Is because lack of memory? After start-all.sh and all daemon have started, I have about 300-350 MB memory. I need your suggest all, why this happened?
Thanks all..
No, this isn't because of out of memory, else the logs would have clearly mentioned that. The job seems to be in running state and has got stuckup somewhere, you can probably go and check on the application master for more details about the job.
I'm sorry but you mean this thing ?
15/04/05 14:11:27 WARN util.NativeCodeLoader: Unable to load native-hadoop library for your platform... using builtin-java classes where applicable
15/04/05 14:11:29 INFO client.RMProxy: Connecting to ResourceManager at master/192.168.1.163:8050
15/04/05 14:11:30 INFO input.FileInputFormat: Total input paths to process : 1
15/04/05 14:11:31 INFO mapreduce.JobSubmitter: number of splits:1
15/04/05 14:11:31 INFO mapreduce.JobSubmitter: Submitting tokens for job: job_1428216622742_0003
15/04/05 14:11:31 INFO impl.YarnClientImpl: Submitted application application_1428216622742_0003
15/04/05 14:11:31 INFO mapreduce.Job: The url to track the job: http://master:8088/proxy/application_1428216622742_0003/
15/04/05 14:11:31 INFO mapreduce.Job: Running job: job_1428216622742_0003
or something else? on my master node port 8088 there are only tables....
Mapreduce with YARN fail to move ahead of 0% map and 0% reduce. I am using Cloudera CDH on google compute high memory instance(13 GM RAM). 8 GB free ram is available on the machine. Can you please help me to fix it?
sunny#hadoop-m:~$ hadoop jar /opt/cloudera/parcels/CDH-5.3.0-1.cdh5.3.0.p0.30/jars/hadoop-mapreduce-examples-2.5.0-cdh5.3.0.jar grep input output 'dfs[a-z.]+'
14/12/24 00:13:53 INFO client.RMProxy: Connecting to ResourceManager at hadoop-m.c.sunny-hadoop-trial.internal/10.240.253.233:8032
14/12/24 00:13:53 WARN mapreduce.JobSubmitter: No job jar file set. User classes may not be found. See Job or Job#setJar(String).
14/12/24 00:13:54 INFO input.FileInputFormat: Total input paths to process : 5
14/12/24 00:13:54 INFO mapreduce.JobSubmitter: number of splits:5
14/12/24 00:13:54 INFO mapreduce.JobSubmitter: Submitting tokens for job: job_1419360146634_0001
14/12/24 00:13:54 INFO mapred.YARNRunner: Job jar is not present. Not adding any jar to the list of resources.
14/12/24 00:13:54 INFO impl.YarnClientImpl: Submitted application application_1419360146634_0001
14/12/24 00:13:55 INFO mapreduce.Job: The url to track the job: http://hadoop-m.c.sunny-hadoop-trial.internal:8088/proxy/application_1419360146634_0001/
14/12/24 00:13:55 INFO mapreduce.Job: Running job: job_1419360146634_0001
Resource Manager Output
Some more info about job
yarn-site.xml: http://pastebin.mozilla.org/8113782
mapred-site.xml: http://pastebin.mozilla.org/8113813
Server 's IP got changed because of DHCP service. Client configuration for HDFS and YARN became stale. I needed to update client configuration, I did it with Cloudera manager and now cluster is running fine.