I have two VMs setup with Ubuntu 12.04. I am trying to setup Hadoop multinode, but after executing hadoop/sbin/start-dfs.sh
I see following process on my master:
20612 DataNode
20404 NameNode
20889 SecondaryNameNode
21372 Jps
However, there is nothing in the slave. Also when I do hdfs dfsadmin -report
, I only see:
Live datanodes (1):
Name: 10.222.208.221:9866 (master)
Hostname: master
I checked logs, my start-dfs.sh does not even try to start datanode on my slave. I am using following configuration:
#/etc/hosts
127.0.0.1 localhost
10.222.208.221 master
10.222.208.68 slave-1
changed hostanme in /etc/hostname in respective systems Also, I am able to ping slave-1 from master system and vice-versa using ping.
<configuration>
<property>
<name>fs.defaultFS</name>
<value>hdfs://master:9000</value>
</property>
</configuration>
#hadoop/etc/hdfs-site.xml
<configuration>
<property>
<name>dfs.namenode.name.dir</name>
<value>file:///hadoop/data/namenode</value>
<description>NameNode directory</description>
</property>
<property>
<name>dfs.datanode.data.dir</name>
<value>file:///hadoop/data/datanode</value>
<description>DataNode directory</description>
</property>
<property>
<name>dfs.replication</name>
<value>3</value>
</property>
</configuration>
<configuration>
<property>
<name>mapred.job.tracker</name>
<value>master:9001</value>
</property>
</configuration>
I have also added master and slave-1 in /hadoop/etc/master
and /hadoop/etc/slaves
on both my master and slave system.
I have also tried cleaning data/* and then hdfs namenode -format
before start-dfs.sh
, still the problem persists.
Also, I have Network adapter setting marked as Bridged adapter.
Any possible reason datanode not starting on slave?
/var/log/hadoop/hdfs/hadoop-hdfs-datanode-<hostname>.log has datanode log and /var/log/hadoop-yarn/yarn/yarn-yarn-nodemanager-<hostname>.log has nodemanager on each node. You can also look at .out files with same name in the same directories. I am assuming you are trying to install manually from apache.
Check if you find nodemanager and datanode logs on slave nodes where they didn't start. They should tell what went wrong. Most likely they failed with errors. You may also need yarn-site.xml to configure yarn.nodemanager.log-dirs and yarn.nodemanager.local-dirs params.
mapred.job.tracker doesn't exist in Hadoop2, however that's not a DFS problem... Can you add your log output to the question? Also are you sure you want 3 replicas on 2 datanodes?
Can't claim to have the answer, but I found this "start-all.sh" and "start-dfs.sh" from master node do not start the slave node services?
Changed my slaves file to workers file and everything clicked in.
It seems you are using hadoop-2.x.x or above, so, try this configuration. And by default masters file( hadoop-2.x.x/etc/hadoop/masters
) won't available on hadoop-2.x.x onwards.
hadoop-2.x.x/etc/hadoop/core-site.xml:
<configuration>
<property>
<name>fs.default.name</name>
<value>hdfs://master:9000</value>
</property>
</configuration>
~/etc/hadoop/hdfs-site.xml:
<configuration>
<property>
<name>dfs.namenode.name.dir</name>
<value>file:///hadoop/data/namenode</value>
<description>NameNode directory</description>
</property>
<property>
<name>dfs.datanode.data.dir</name>
<value>file:///hadoop/data/datanode</value>
<description>DataNode directory</description>
</property>
<property>
<name>dfs.replication</name>
<value>2</value>
</property>
</configuration>
~/etc/hadoop/mapred-site.xml:
<property>
<name>mapreduce.framework.name</name>
<value>yarn</value>
</property>
~/etc/hadoop/yarn-site.xml:
<property>
<name>yarn.resourcemanager.hostname</name>
<value>master</value>
</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>
~/etc/hadoop/slaves
slave-1
copy all the above configured file from master and replace it on slave on this path hadoop-2.x.x/etc/hadoop/.
If you love us? You can donate to us via Paypal or buy me a coffee so we can maintain and grow! Thank you!
Donate Us With