> Also HDFS might be critical since to access your data you need to close the
file
Not anymore. Since 0.16 files are readable while being written to.
>> it as fast as possible. I need to be able to maintain some guaranteed
>> max. processing time, for example under 3 minutes.
It looks like you do not need very strict guarantees.
I think you can use hdfs as a data-storage.
Don't know what kind of data-processing you do, but I agree with Stefan
that map-reduce is designed for batch tasks rather than for real-time
processing.
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
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
101tec Inc.
Menlo Park, California, USA
http://www.101tec.com
