I installed hadoop 2.5.2, and I can run the wordcount sample successfully. However, when I want to see the application running on yarn (job running), I cannot as all applictaions interface is always empty (shown in the following screen).
Is there anyway to make the jobs visible?
Please try localhost:19888 or check value of the the property for web url for job history (mapreduce.jobhistory.webapp.address) configured in you yarn config file.
Related
I have set up a Hadoop single node cluster with pseudo distributed operations, and YARN running. I am able to use Spark JAVA API to run queries as a YARN-client. I wanted to go one step further and try Apache Drill on this "cluster". I installed Zookeeper that is running smoothly but I am not able to start drill and I get this log:
nohup: ignoring input
Error: Could not find or load main class
org.apache.drill.exec.server.Drillbit
Any idea?
I am on Windows 10 with JDK 1.8.
DRILL CLASSPATH is not initialized in the process of running drillbit on your machine.
For the purpose to start Drill on Windows machine it is necessary to run sqlline.bat script, for example:
C:\bin\sqlline sqlline.bat –u "jdbc:drill:zk=local;schema=dfs"
See more info: https://drill.apache.org/docs/starting-drill-on-windows/
I have a Hadoop 2.8.1 installation on a macOS Sierra (Darwin Kernel version 16.7.0) and it's working fine, except the application/tasks tracking.
1) At first, I thought it was a problem with the Resource Manager web interface. So:
I've copied the yarn-site.xml template to the etc/yarn-site.xml file, but it didn't help.
I've tried to change the default 'dr. who' user to my Hadoop user on Resource manager (http://localhost:18088/cluster/apps/RUNNING?user.name=myUser), but it didn't help also.
2) Nor even on command line I can track my applications (jobs): yarn application -list returns always empty.
3) Another information: on application INFO outputs, it shows these following lines, but I can't access it.
INFO mapreduce.Job: The url to track the job: http://localhost:8080/
INFO mapreduce.Job: Running job: job_local2009332672_0001
Is it a yarn problem? Should I change another setting file? Thanks!
Look at mapreduce.framework.name in mapred-site.xml. In your HADOOP_CONF_DIR
Set its value to yarn.
If you don't have a mapred-site, then copy and rename the mapred-default XML file.
Thanks for the answer, I was looking for this feature without success. I did changes on the etc/hosts for nothing
The answer is to set mapreduce.framework.name in mapred-site.xmlto yarn as stated by cricket_007.
This is setting yarn as the default framework for MapReduce operations
I'm running a custom Yarn Application using Apache Twill in HDP 2.5 cluster, but I'm not able to see my own container logs (syslog, stderr and stdout) when I go to my container web page:
Also the login changes from my kerberos to "dr.who" when I navigate to this page.
But I can see the logs of map-reduce jobs. Hadoop version is 2.7.3 and the cluster is yarn acl enabled.
i had this issue with hadoop ui. I found in this doc, that the hadoop.http.staticuser.user is set to dr.who by default and you need include it in the related setting file (in my issue is core-site.xml file).
so late but hope useful.
I have two spark contexts running on a box, 1 from python and 1 from scala. They are similarly configured, yet only the python application appears in the spark history page pointed to by the yarn tracking URL. Is there extra configuration I am missing here? (both run in yarn-client mode)
I am new to the spark, After installing the spark using parcels available in the cloudera manager.
I have configured the files as shown in the below link from cloudera enterprise:
http://www.cloudera.com/content/cloudera-content/cloudera-docs/CM4Ent/4.8.1/Cloudera-Manager-Installation-Guide/cmig_spark_installation_standalone.html
After this setup, I have started all the nodes in the spark by running /opt/cloudera/parcels/SPARK/lib/spark/sbin/start-all.sh. But I couldn't run the worker nodes as I got the specified error below.
[root#localhost sbin]# sh start-all.sh
org.apache.spark.deploy.master.Master running as process 32405. Stop it first.
root#localhost.localdomain's password:
localhost.localdomain: starting org.apache.spark.deploy.worker.Worker, logging to /var/log/spark/spark-root-org.apache.spark.deploy.worker.Worker-1-localhost.localdomain.out
localhost.localdomain: failed to launch org.apache.spark.deploy.worker.Worker:
localhost.localdomain: at java.lang.ClassLoader.loadClass(libgcj.so.10)
localhost.localdomain: at gnu.java.lang.MainThread.run(libgcj.so.10)
localhost.localdomain: full log in /var/log/spark/spark-root-org.apache.spark.deploy.worker.Worker-1-localhost.localdomain.out
localhost.localdomain:starting org.apac
When I run jps command, I got:
23367 Jps
28053 QuorumPeerMain
28218 SecondaryNameNode
32405 Master
28148 DataNode
7852 Main
28159 NameNode
I couldn't run the worker node properly. Actually I thought to install a standalone spark where the master and worker work on a single machine. In slaves file of spark directory, I given the address as "localhost.localdomin" which is my host name. I am not aware of this settings file. Please any one cloud help me out with this installation process. Actually I couldn't run the worker nodes. But I can start the master node.
Thanks & Regards,
bips
Please notice error info below:
localhost.localdomain: at java.lang.ClassLoader.loadClass(libgcj.so.10)
I met the same error when I installed and started Spark master/workers on CentOS 6.2 x86_64 after making sure that libgcj.x86_64 and libgcj.i686 had been installed on my server, finally I solved it. Below is my solution, wish it can help you.
It seem as if your JAVA_HOME environment parameter didn't set correctly.
Maybe, your JAVA_HOME links to system embedded java, e.g. java version "1.5.0".
Spark needs java version >= 1.6.0. If you are using java 1.5.0 to start Spark, you will see this error info.
Try to export JAVA_HOME="your java home path", then start Spark again.