atom feed1 message in org.apache.hadoop.core-userRe: RAID vs. JBOD
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Runping QiJan 14, 2009 1:54 pm 
Subject:Re: RAID vs. JBOD
From:Runping Qi (
Date:Jan 14, 2009 1:54:28 pm


We at Yahoo did some Hadoop benchmarking experiments on clusters with JBOD and RAID0. We found that under heavy loads (such as gridmix), JBOD cluster performed better.

Gridmix tests:

Load: gridmix2 Cluster size: 190 nodes Test results:

RAID0: 75 minutes JBOD: 67 minutes Difference: 10%

Tests on HDFS writes performances

We ran map only jobs writing data to dfs concurrently on different clusters. The overall dfs write throughputs on the jbod cluster are 30% (with a 58 nodes cluster) and 50% (with an 18 nodes cluster) better than that on the raid0 cluster, respectively.

To understand why, we did some file level benchmarking on both clusters. We found that the file write throughput on a JBOD machine is 30% higher than that on a comparable machine with RAID0. This performance difference may be explained by the fact that the throughputs of different disks can vary 30% to 50%. With such variations, the overall throughput of a raid0 system may be bottlenecked by the slowest disk.

-- Runping

On 1/11/09 1:23 PM, "David B. Ritch" <> wrote:

How well does Hadoop handle multiple independent disks per node?

I have a cluster with 4 identical disks per node. I plan to use one disk for OS and temporary storage, and dedicate the other three to HDFS. Our IT folks have some disagreement as to whether the three disks should be striped, or treated by HDFS as three independent disks. Could someone with more HDFS experience comment on the relative advantages and disadvantages to each approach?

Here are some of my thoughts. It's a bit easier to manage a 3-disk striped partition, and we wouldn't have to worry about balancing files between them. Single-file I/O should be considerably faster. On the other hand, I would expect typical use to require multiple files reads or write simultaneously. I would expect Hadoop to be able to manage read/write to/from the disks independently. Managing 3 streams to 3 independent devices would likely result in less disk head movement, and therefore better performance. I would expect Hadoop to be able to balance load between the disks fairly well. Availability doesn't really differentiate between the two approaches - if a single disk dies, the striped array would go down, but all its data should be replicated on another datanode, anyway. And besides, I understand that datanode will shut down a node, even if only one of 3 independent disks crashes.

So - any one want to agree or disagree with these thoughts? Anyone have any other ideas, or - better - benchmarks and experience with layouts like these two?