How to Build an Optimal Hadoop Cluster (opens in new tab)

I recently tried to setup a hadoop cluster, just for the fun of it - but I found it slightly painful. Does anyone know if there are good puppet modules available for configuring everything? I wasn't able to find any.

"What is DISADVANTAGE about Rack Awareness at this point is the manual work required to define it the first time, continually update it, and keep the information accurate. If the rack switch could auto-magically provide the Name Node with the list of Data Nodes it has, that would be great."

This is where LLDP comes in handy. Run an LLDP agent on each node and enable LLDP on the switch access ports. Then it's just a matter of the NameNode fetching LLDP neighbor information from the switch (usually by using SNMP) and updating it's Rack Awareness.

(Disclaimer: I know nothing about Hadoop...)

Agree in regards of Cloud awareness but as in my case it was in house Cloud which amount of nodes is not changed so frequently. Anyway when You add new nodes You have to specify them inside configuration so rack awareness also can be updated during that maintenance. Regarding which distribution to use - there are lot of them now such as MapR, Hortonworks, Apache and Cloudera. All of them have their advantages and disadvantages but if You take support such we have with Cloudera then even special requests for incorporating fixes from Apache side is possible. And for OS it doesn't matter which to use but I would prefer CentOS because it is almost as Redhat (You do not need anything from RedHat that CentOS cannot give You for Hadoop cluster). Another thing is that CentOS is supported accross all of these vendors as usually it is made for RedHat and then works perfect on CentOS. Also there are lot of things that can improve Hadoop such as: - Turn of swapping - ulimit has to be at least 64K - It is better to have more disks because of failure on one side and disk performances on another side. With having less disks than reading data become bottleneck and so on and so on

It's probably a better idea to use Hadoop 1.0.4 or even 2.0. Lot's of little annoyances are solved there.

Monitoring is also completely missing: We use Icinga/Nagios and Ganglia. Especially Ganglia is invaluable to adjust the configuration for optimal machine usage in my experience.

Another point worth considering is Security. Hadoop by default is secured like NFS. That means any user that is able to create an hdfs or hadoop user on a machine that has access to the NameNode can delete your HDFS. Hadoop can use Kerberos for security.

Also consider adding Snappy Compression to your setup, it speeds up the shuffle phase.

Last but not least - I've found these slides about Hadoop Tuning invaluable: http://www.slideshare.net/cloudera/mr-perf

@meinuelzen: We use Oracle JDK 7 with en_US.UTF-8 and ntpd on all machines. Ubuntu 10.04 / Ubuntu 12.04 but the OS should not matter. Lot's of RAM and lot's of disks are more important.

@oellegaard: If You had issues with manual then puppet modules + setup will be the same. If You just want to try You can use Cloudera Manager to setup cloud without any knowledge of hadoop. You just need to have ssh using keys as root on all hosts from host where cloudera manager is installed and it will just happen in seconds.

https://ccp.cloudera.com/display/DOC/Documentation#Documenta...

Thank You! For locale yes as You said UTF-8 is standard and related to date and time it is better to use synchronization via NTP because so many troubles can make having different time on servers.

Regards,

Nice one!

What would you recommend as default locales settings for the systems? I guess LC_ALL=en_US.UTF-8, right?

And what about server date and time? Using NTP or not?

I've seen these graphics before in Dell's presentations. Do you work for Dell?