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linuxhadoopmapreducedistributed-computinghadoop-yarn

YarnApplicationState: ACCEPTED: waiting for AM container to be allocated, launched and register

I am new to Hadoop ecosystem.

I recently tried Hadoop (2.7.1) on a single-node Cluster without any problems and decided to move on to a Multi-node cluster having 1 namenode and 2 datanodes.

However I am facing a weird issue. Whatever Jobs that I try to run, are stuck with the following message:

on the web interface:

YarnApplicationState: ACCEPTED: waiting for AM container to be allocated, launched and register

and in the cli:

16/01/05 17:52:53 INFO mapreduce.Job: Running job: job_1451083949804_0001

They don't even start and at this point I am not sure what changes I need to make in order to make it work.

Here's what I have tried to resolve:

  1. disabling firewall on all nodes
  2. setting lower resource limits
  3. configuring under different machines, routers and distros

I would really appreciate any help (even a minute hint) in correct direction.

I have followed these instructions (configuration):

Solution

  • I finally got this solved. Posting detailed steps for future reference. (only for test environment)

    Hadoop (2.7.1) Multi-Node cluster configuration

    1. Make sure that you have a reliable network without host isolation. Static IP assignment is preferable or at-least have extremely long DHCP lease. Additionally all nodes (Namenode/master & Datanodes/slaves) should have a common user account with same password; in case you don't, make such user account on all nodes. Having same username and password on all nodes makes things a bit less complicated.
    2. [on all machines] First configure all nodes for single-node cluster. You can use my script that I have posted over here.

    3. execute these commands in a new terminal

      [on all machines] ↴

      stop-dfs.sh;stop-yarn.sh;jps
rm -rf /tmp/hadoop-$USER

      [on Namenode/master only] ↴

      rm -rf ~/hadoop_store/hdfs/datanode

      [on Datanodes/slaves only] ↴

      rm -rf ~/hadoop_store/hdfs/namenode

    4. [on all machines] Add IP addresses and corresponding Host names for all nodes in the cluster. 

      sudo nano /etc/hosts

      hosts

      xxx.xxx.xxx.xxx master
xxx.xxx.xxx.xxy slave1
xxx.xxx.xxx.xxz slave2
# Additionally you may need to remove lines like "xxx.xxx.xxx.xxx localhost", "xxx.xxx.xxx.xxy localhost", "xxx.xxx.xxx.xxz localhost" etc if they exist.
# However it's okay keep lines like "127.0.0.1 localhost" and others.

    5. [on all machines] Configure iptables

      Allow default or custom ports that you plan to use for various Hadoop daemons through the firewall

      OR

      much easier, disable iptables

      • on RedHat like distros (Fedora, CentOS)

        sudo systemctl disable firewalld
sudo systemctl stop firewalld

      • on Debian like distros (Ubuntu)

        sudo ufw disable

    6. [on Namenode/master only] Gain ssh access from Namenode (master) to all Datnodes (slaves).

      ssh-copy-id -i ~/.ssh/id_rsa.pub $USER@slave1
ssh-copy-id -i ~/.ssh/id_rsa.pub $USER@slave2

      confirm things by running ping slave1, ssh slave1, ping slave2, ssh slave2 etc. You should have a proper response. (Remember to exit each of your ssh sessions by typing exit or closing the terminal. To be on the safer side I also made sure that all nodes were able to access each other and not just the Namenode/master.)

    7. [on all machines] edit core-site.xml file

      nano /usr/local/hadoop/etc/hadoop/core-site.xml

      core-site.xml

      <configuration>
    <property>
        <name>fs.defaultFS</name>
        <value>master:9000</value>
        <description>NameNode URI</description>
    </property>
</configuration>

    8. [on all machines] edit yarn-site.xml file

      nano /usr/local/hadoop/etc/hadoop/yarn-site.xml

      yarn-site.xml

      <configuration>
    <property>
        <name>yarn.resourcemanager.hostname</name>
        <value>master</value>
        <description>The hostname of the RM.</description>
    </property>
    <property>
         <name>yarn.nodemanager.aux-services</name>
         <value>mapreduce_shuffle</value>
    </property>
    <property>
         <name>yarn.nodemanager.aux-services.mapreduce.shuffle.class</name>
         <value>org.apache.hadoop.mapred.ShuffleHandler</value>
    </property>
</configuration>

    9. [on all machines] modify slaves file, remove the text "localhost" and add slave hostnames

      nano /usr/local/hadoop/etc/hadoop/slaves

      slaves

      slave1
slave2

      (I guess having this only on Namenode/master will also work but I did this on all machines anyway. Also note that in this configuration master behaves only as resource manger, this is how I intent it to be.)

    10. [on all machines] modify hdfs-site.xml file to change the value for property dfs.replication to something > 1 (at-least to the number of slaves in the cluster; here I have two slaves so I would set it to 2)

    11. [on Namenode/master only] (re)format the HDFS through namenode

      hdfs namenode -format
    12. [optional]
      • remove dfs.datanode.data.dir property from master's hdfs-site.xml file.
      • remove dfs.namenode.name.dir property from all slave's hdfs-site.xml file.

    TESTING (execute only on Namenode/master)

    start-dfs.sh;start-yarn.sh

echo "hello world hello Hello" > ~/Downloads/test.txt

hadoop fs -mkdir /input

hadoop fs -put ~/Downloads/test.txt /input

hadoop jar /usr/local/hadoop/share/hadoop/mapreduce/hadoop-mapreduce-examples-*.jar wordcount /input /output

    wait for a few seconds and the mapper and reducer should begin.

    These links helped me with the issue: