Interesting.
we are planning on using hadoop to provide 'near' real time log
analysis. we plan on having files close every 5 minutes (1 per log
machine, so 80 files every 5 minutes) and then have a m/r to merge it
into a single file that will get processed by other jobs later on.
do you think this will namespace will explode?
I wasn't thinking of clouddb.. it might be an interesting alternative
once it is a bit more stable.
regards
Ian
Stefan Groschupf wrote:
Hadoop might be the wrong technology for you.
Map Reduce is a batch processing mechanism. Also HDFS might be critical
since to access your data you need to close the file - means you might
have many small file, a situation where hdfs is not very strong
(namespace is hold in memory).
Hbase might be an interesting tool for you, also zookeeper if you want
to do something home grown...
On Jun 23, 2008, at 11:31 PM, Vadim Zaliva wrote:
Hi!
I am considering using Hadoop for (almost) realime data processing. I
have data coming every second and I would like to use hadoop cluster
to process
it as fast as possible. I need to be able to maintain some guaranteed
max. processing time, for example under 3 minutes.
Does anybody have experience with using Hadoop in such manner? I will
appreciate if you can share your experience or give me pointers
to some articles or pages on the subject.
Vadim
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101tec Inc.
Menlo Park, California, USA
http://www.101tec.com
