Dear Distinguished Colleagues:
I've been trying to understand something.
My queues take Java object messages. Serialized into bytes, each Java
object is about 1.5K on average.
When I have a backlog of 10 million objects on one of the queues, the
disk utilization of kahadb is around 50gigs. But this math here:
groovy:000> 1500*10000000/1024/1024/1024;
===> 1.9698386192
means that 10M objects should only take up less than 2gigs.
Even if I had 3 queues going with the same objects, the total would be
6gigs max. So why the disk utilization overhead ? How much does a
single JMS message need ?
--
Regards,
Oleg Dulin
NYC Java Big Data Engineer
http://www.olegdulin.com/
