|| at Jul 7, 2011 at 9:36 am
On 07/07/11 08:22, Rita wrote:
Thanks Steve. This is exactly what I was looking for. Unfortunately, I don
see any example code for the implementation.
No. I think I have access to russ's source somewhere, but there'd be
paperwork in getting it released. Russ said it wasn't too hard to do, he
just had to patch the DFS client to offer up the entire list of block
locations to the client, and let the client program make the decision.
If you discussed this on the hdfs-dev list (via a JIRA), you may be able
to get a patch for this accepted, though you have to do the code and
On Wed, Jul 6, 2011 at 7:35 AM, Steve Loughranwrote:
On 06/07/11 11:08, Rita wrote:
I have many large files ranging from 2gb to 800gb and I use hadoop fs -cat
lot to pipe to various programs.
I was wondering if its possible to prefetch the data for clients with more
bandwidth. Most of my clients have 10g interface and datanodes are 1g.
I was thinking, prefetch x blocks (even though it will cost extra memory)
while reading block y. After block y is read, read the prefetched blocked
and then throw it away.
It should be used like this:
export PREFETCH_BLOCKS=2 #default would be 1
hadoop fs -pcat hdfs://namenode/verylarge file | program
Look at Russ Perry's work on doing very fast fetches from an HDFS filestorehttp://www.hpl.hp.com/**techreports/2009/HPL-2009-345.**pdf<http://www.hpl.hp.com/techreports/2009/HPL-2009-345.pdf
Here the DFS client got some extra data on where every copy of every block
was, and the client decided which machine to fetch it from. This made the
best use of the entire cluster, by keeping each datanode busy.