I doubt about it. Caching system is a key value store. You have to use some
compression library to compress and decompress your data. Caching system
helps to retrieve fast. Anyways please take a look of each of the caching
system features.
Regards
Aditya
www.findbestopensource.com
On Wed, Jul 1
Thank you. I don't know which cache system to use. In my application,
the cache system must support compression algorithm which has high
compression ratio and fast decompression speed(because each time it
get from cache, it must decompress).
2010/7/14 findbestopensource :
> I have just provided yo
I have just provided you two options. Since you already store as part of the
index, You could try external caching. Try using ehcache / Membase
http://www.findbestopensource.com/tagged/distributed-caching . The caching
system will do LRU and is much more efficient.
On Wed, Jul 14, 2010 at 12:39 PM
I have already store it in lucene index. But it is in disk and When a
query come, it must seek the disk to get it. I am not familiar with
lucene cache. I just want to fully use my memory that load 10GB of it
in memory and a LRU stragety when cache full. To load more into
memory, I want to compress
You have two options
1. Store the compressed text as part of stored field in Solr.
2. Using external caching.
http://www.findbestopensource.com/tagged/distributed-caching
You could use ehcache / Memcache / Membase.
The problem with external caching is you need to synchronize the deletions
and
