Have installed cloudera cdh4 on 3 node cluster.Facing problem when trying to access the data in HDFS through slave nodes(Datanodes).
When I am trying to create the new folder in HDFS using
hadoop fs -mkdir Flume(Foldername)
command not able to put the data or create the folder in the hdfs of the cluster from either of the slaves,but working from the master node,also flume ,hive ,pig all other process are running in the slaves
(Datanodes)
Tried
restarting the cluster
namenode format
Still not working!!
Secondly When I am doing
hadoop fs -ls /
results are not of from the hdfs but from the current directory path of the slave node from where I am usin this command.
And how to check if hdfs is working and installed properly in slave nodes(Datanodes) in cluster apart from creating the directory in HDFS.
Could anybody help?
Please verify the property "fs.default.name" in the core-site.xml.
<property>
<name>fs.default.name</name>
<value>hdfs://namenode:9000</value>
</property>
Related
We have 4 datanode HDFS cluster ...there is large amount of space available on each data node of about 98gb ...but when i look at the datanode information .. it's only using about 10gb and running out of space ...
How can we make it use all the 98gb and not run out of space as indicated in image
this is the disk space configuration
this is the hdfs-site.xml on name node
<property>
<name>dfs.name.dir</name>
<value>/test/hadoop/hadoopinfra/hdfs/namenode</value>
</property>
this is the hdfs-site.xml under data node
<property>
<name>dfs.data.dir</name>
<value>/test/hadoop/hadoopinfra/hdfs/datanode</value>
</property>
Eventhough /test has 98GB and hdfs is configured to use it it's not using it
Am I missing anything while doing the configuration changes? And how can we make sure 98GB is used?
According to this Hortonworks Community Portal link, the steps to amend your Data Node directory are as follows:
Stop the cluster.
Go to the ambari HDFS configuration and edit the datanode directory configuration: Remove /hadoop/hdfs/data and /hadoop/hdfs/data1. Add [new directory location].
Login into each datanode (via SSH) and copy the contents of /data and /data1 into the new directory.
Change the ownership of the new directory and everything under it to “hdfs”.
Start the cluster.
I'm assuming that you're technically already up to Step 2 since you've displayed your correctly configured core-site.xml files in the original question. Make sure you've done the other steps and that all Hadoop services have been stopped. From there, change the ownership to the user running Hadoop (typically hdfs but I've worked in a place where root was running the Hadoop processes) and you should be good to go :)
In Hadoop HDFS Federation the latest step of adding a new NameNode to an existing HDFS cluster is:
==> Refresh the Datanodes to pickup the newly added Namenode by running the following command against all the Datanodes in the cluster:
[hdfs]$ $HADOOP_PREFIX/bin/hdfs dfsadmin -refreshNameNodes <datanode_host_name>:<datanode_rpc_port>
Witch is the best place to execute the flowing command: NameNode or datanode ?
If I have 1000 Datanodes is it logical to run it 1OOO time ?
In namenode run this command once.
$HADOOP_PREFIX/sbin/slaves.sh hdfs dfsadmin -refreshNameNodes <datanode_host_name>:<datanode_rpc_port>
slaves.sh script will distribute the command to all the slave hosts which are mentioned in slaves file (typically placed in $HADOOP_CONF_DIR)
I have a hadoop cluster on aws and I am trying to access it from outside the cluster through a hadoop client. I can successfully hdfs dfs -ls and see all contents but when I try to put or get a file I get this error:
Exception in thread "main" java.lang.NullPointerException
at org.apache.hadoop.fs.FsShell.displayError(FsShell.java:304)
at org.apache.hadoop.fs.FsShell.run(FsShell.java:289)
at org.apache.hadoop.util.ToolRunner.run(ToolRunner.java:70)
at org.apache.hadoop.util.ToolRunner.run(ToolRunner.java:84)
at org.apache.hadoop.fs.FsShell.main(FsShell.java:340)
I have hadoop 2.6.0 installed in both my cluster and my local machine. I have copied the conf files of the cluster to the local machine and have these options in hdfs-site.xml (along with some other options).
<property>
<name>dfs.client.use.datanode.hostname</name>
<value>true</value>
</property>
<property>
<name>dfs.permissions.enable</name>
<value>false</value>
</property>
My core-site.xml contains a single property in both the cluster and the client:
<property>
<name>fs.defaultFS</name>
<value>hdfs://public-dns:9000</value>
<description>NameNode URI</description>
</property>
I found similar questions but wasn't able to find a solution to this.
How about you SSH into that machine?
I know this is a very bad idea but to get the work done, you can first copy that file on machine using scp and then SSH into that cluster/master and do hdfs dfs -put on that copied local file.
You can also automate this via a script but again, this is just to get the work done for now.
Wait for someone else to answer to know the proper way!
I had similar issue with my cluster when running hadoop fs -get and I could resolve it. Just check if all your data nodes are resolvable using FQDN(Fully Qualified Domain Name) from your local host. In my case nc command was successful using ip addresses for data nodes but not with host name.
run below command :
for i in cat /<host list file>; do nc -vz $i 50010; done
50010 is default datanode port
when you run any hadoop command it try to connect to data nodes using FQDN and thats where it gives this weird NPE.
Do below export and run your hadoop command
export HADOOP_ROOT_LOGGER=DEBUG,console
you will see this NPE comes when it is trying to connect to any datanode for data transfer.
I had a java code which was also doing hadoop fs -get using APIs and there ,exception was more clearer
java.lang.Exception: java.nio.channels.UnresolvedAddressException
Let me know if this helps you.
I installed my test cluster using Cloudera Manager free.
I can only browse the filesystem from the main NameNode. When running hadoop dfs -ls only shows the local folder.
JPS shows the Jps, TaskTracker, DataNode on the nodes.
MapReduce tasks/jobs run fine on all the nodes as a cluster.
With my custom setup Hadoop cluster (without Cloudera), I can easily browse and manipulate the hdfs filesystem (eg. I can run hadoop dfs -mkdir test1 on all the nodes - but only on the NameNode in CDH4)
why is this?
Try using the command ./bin/hadoop fs -ls / for HDFS browsing.
So I installed Hadoop via Cloudera Manager cdh3u5 on CentOS 5. When I run cmd
hadoop fs -ls /
I expected to see the contents of hdfs://localhost.localdomain:8020/
However, it had returned the contents of file:///
Now, this goes without saying that I can access my hdfs:// through
hadoop fs -ls hdfs://localhost.localdomain:8020/
But when it came to installing other applications such as Accumulo, accumulo would automatically detect Hadoop Filesystem in file:///
Question is, has anyone ran into this issue and how did you resolve it?
I had a look at HDFS thrift server returns content of local FS, not HDFS , which was a similar issue, but did not solve this issue.
Also, I do not get this issue with Cloudera Manager cdh4.
By default, Hadoop is going to use local mode. You probably need to set fs.default.name to hdfs://localhost.localdomain:8020/ in $HADOOP_HOME/conf/core-site.xml.
To do this, you add this to core-site.xml:
<property>
<name>fs.default.name</name>
<value>hdfs://localhost.localdomain:8020/</value>
</property>
The reason why Accumulo is confused is because it's using the same default configuration to figure out where HDFS is... and it's defaulting to file://
We should specify data node data directory and name node meta data directory.
dfs.name.dir,
dfs.namenode.name.dir,
dfs.data.dir,
dfs.datanode.data.dir,
fs.default.name
in core-site.xml file and format name node.
To format HDFS Name Node:
hadoop namenode -format
Enter 'Yes' to confirm formatting name node. Restart HDFS service and deploy client configuration to access HDFS.
If you have already did the above steps. Ensure client configuration is deployed correctly and it points to the actual cluster endpoints.