System Administration
Every user or group can check their disk quota with the command quota. This command produces a report that contains information for all file systems listed in the /etc/fstab. Give the command quota -u (for user quota) or quota -g (for group quota) or a combination to obtain this information. If no quotas are set, the command quota -u results in the following output:
Disk quotas for dsnjaro (uid 503):none
If quotas have been set, the output looks like:
Disk quotas for user dsnjaro (uid 503): File system blocks quota limit grace files quota limit grace /dev/hda3 49 100 110 30 0 0Only the system administrator can use either of the commands:
quota -u <
quota <-g <group-id>
Quota is working very well for me
in my work, where there are approximately 300 users on our system.

Realizing the promise of Apache® Hadoop® requires the effective deployment of compute, memory, storage and networking to achieve optimal results. With its flexibility and multitude of options, it is easy to over or under provision the server infrastructure, resulting in poor performance and high TCO. Join us for an in depth, technical discussion with industry experts from leading Hadoop and server companies who will provide insights into the key considerations for designing and deploying an optimal Hadoop cluster.
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How to Build an Optimal Hadoop Cluster to Store and Maintain Unlimited Amounts of Data Using Microservers
Realizing the promise of Apache® Hadoop® requires the effective deployment of compute, memory, storage and networking to achieve optimal results. With its flexibility and multitude of options, it is easy to over or under provision the server infrastructure, resulting in poor performance and high TCO. Join us for an in depth, technical discussion with industry experts from leading Hadoop and server companies who will provide insights into the key considerations for designing and deploying an optimal Hadoop cluster.
Some of key questions to be discussed are:
- What is the “typical” Hadoop cluster and what should be installed on the different machine types?
- Why should you consider the typical workload patterns when making your hardware decisions?
- Are all microservers created equal for Hadoop deployments?
- How do I plan for expansion if I require more compute, memory, storage or networking?
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