Am using CHD3 on centos 5.6 in vmware virtual machine and am facing so many problems while configuring the multinode cluster.
Can anybody provide complete steps to configure multinode cluster??
Configuring a distributed cluster by yourself is a bit of a headache, can be done but it won't worth it if you're just testing and doing some research.
Since you're using Cloudera, you should take a look at Cloudera Manager, which automates the installation and management of Hadoop clusters and should play nice with VMs as well (as long as you have some serious RAM):
http://www.cloudera.com/content/cloudera/en/documentation/cloudera-manager/v4-8-2/Cloudera-Manager-Introduction/cmi_primer.html
This is the installation guide:
http://www.cloudera.com/content/cloudera/en/documentation/cloudera-manager/v4-8-2/Cloudera-Manager-Installation-Guide/Cloudera-Manager-Installation-Guide.html
Related
I'm new to big data. And I have a question about the installation of hadoop.
Currently I use an image on VirtualBox, but I would like to create a cluster on the openstack. At first I thought I just need to instantiate a hadoop image on the openstack or install several instances and use the hadoop docker image.
But I found several examples of the Sahara openstack. Knowing that I already have an openstack shared with several people, is it possible to create a hadoop cluster without going through openstack Sahara? Or is it not recommended?
Not sure about "Sahara Openstack", but you can surely create Hadoop cluster using VM nodes on openstack.
Single node installation guide
http://tecadmin.net/setup-hadoop-2-4-single-node-cluster-on-linux/#
Yes, its possible to create Hadoop cluster on OpenStack cloud without using OpenStack sahara. You can launch 3 Virtual machines on OpenStack, and assign floating IP to these virtual machines.
One can be used as Master and other 2 as slaves. You can follow the Hadoop multinode installation steps on these virtual machines and connect them using SSH configuration which will be mentioned in Hadoop multinode setup guide.
You can also write automated shell script for launching Hadoop on OpenStack.
We are searching a viable way for provisioning a Hadoop ecosystem cluster with OpenShift (based on Docker). We look to build up a cluster using the services of the Hadoop ecosystem, i.e. HDFS, YARN, Spark, Hive, HBase, ZooKeeper etc.
My team has been using Hortonworks HDP for on-premise hardware but will now switch into a OpenShift-based infrastructure. Hortonworks Cloudbreak seems not to be suitable for OpenShift-based infrastructures. I have found this article that describes the integration of YARN into OpenShift but it seems like there are no further information available.
What is the easiest way to provision a Hadoop ecosystem cluster on OpenShift? Manually adding all the services feels error-prone and hard to administer. I have stumbled upon the Docker images of these separate services, but it is not comparable to the automated provisioning you get with a platform like Hortonworks HDP. Any guidance is appreciated.
If you install Openstack within Openshift, Sahara allows provisioning of Openstack Hadoop clusters
Alternatively, Cloudbreak is Hortonwork's tool for provisioning container based cloud deployments
Both provides Ambari, allowing you the same interface for cluster administration as HDP.
FWIW, I personally don't find the reason for putting Hadoop in containers. Your datanodes are locked to specific disks. There's no improvement in running several smaller ResourceManagers on a single host. Plus, for YARN, you'd be running containers within containers. And for the namenode, you must have a replicated Fsimage + Editlog because the container could be placed on any system
I'm new to Hadoop ecosystem and i'm trying to understand how a cluster works. Until now, I've been using Hortonworks distribution to test anything in a single-node mode. Now I'm wondering - if it's possible to connect two VM's (running on one PC physically) so that one will be NameNode and the other one DataNode (i'm not sure if they should be separated). I found a similar tutorial for Cloudera, so I guess it's possible in theory.
If it's not even a good idea to run two Hadoop VM's on one PC, - then what is the most painless way to configure and run it on two separate PC's?
May be it will be useful. This post "Setting up a Hadoop cluster"
http://gbif.blogspot.ru/2011/01/setting-up-hadoop-cluster-part-1-manual.html
I like to study about Hadoop multinode setup and installation, by referring the above tutorial I understand that single node cluster environment can be used as node for the multinode cluster
http://bigdatahandler.com/hadoop-hdfs/hadoop-multi-node-cluster-setup/
Currently I am learning Hadoop using Horton sandbox, can we use a sandbox system as a single node environment?
If not what is the difference between sandbox and traditional Hadoop cluster installation
The sandbox images (from Hortonworks and Cloudera) provide the user with a pre-configured development environment with all the usual tools already available and installed (pig, hive etc.). Since the image is a single "system" it is set-up such that the hadoop cluster is single-node: i.e. everything - HDFS, Hadoop map-reduce etc. - is local to that image. That is a massive benefit, as anyone who has set up a hadoop cluster will tell you! It allows you to get up-and-running with very little operational overhead.
What these sandboxes do not provide, however, is realistic cluster behaviour as you have only one node. But there other possibilities - tools such as Vagrant and Docker - that would allow you to do this (I have not tried it myself).
The big data handler link you shared seems to be about combining several of these standalone, inherently single-node "clusters" so that you have something more realistic. But I would guess setting this up so that YARN, Zookeeper and other services are not duplicated comes with a not insignificant challenge.
Hi i have a small doubt , I have started to use in my curiosity but now i have the following problem
My scenario is like this - i have 10 machines connected in LAN and i need to create Name Node in one system and Data Nodes in remaining 9 machines . So do i need to install Hadoop on all the 10 machines ?
For example i have ( 1.. 10 ) machines , where machine1 is Server and from machine(2..9) are slaves[Data Nodes] so do i need to install hadoop on all 10 machines ?
And i have searched a lot On Hadoop cluster network on commodity machine but i dint get any thing related to Installation [ that is configuration]. Some of them given like how to config and install Hadoop on own system but not on the clustered environment
Can any one help me ? and give me the detailed idea or article suggested links to do the above process
Thanks
Yes, you need Hadoop installed in every node and each node should have the services started as for appropriate for its role. Also the configuration files, present on each node, have to coherently describe the topology of the cluster, including location/name/port for various common used resources (eg. namenode). Doing this manually, from scratch, is error prone, specially if you never did this before and you don't know exactly what you're trying to do. Also would be good to decide on a specific distribution of Hadoop (HortonWorks, Cloudera, HDInsight, Intel, etc)
I would recommend use one of the many deployment solutions out there. My favorite is Puppet, but I'm sure Chef will do too.
A different (perhaps better?) alternative is to use Ambari, which is a Hadoop specialized deployment and administering solution. See Deploying and Managing Hadoop Clusters with AMBARI.
Some Puppet resources to get you started: Using Vagrant, Puppet, Testing & Hadoop
Please verify below tutorial
http://www.michael-noll.com/tutorials/running-hadoop-on-ubuntu-linux-multi-node-cluster/
Hope it helps
Yes hadoop needs to be there on all the computers
For clustered Environment please go through the video