11 ms·
Disk usage patterns are the problem with most relational stores (and were for Mongo). When you do a query on time series data, you want to look up a start, read
by relistan 13y ago
Disk usage patterns are the problem with most relational stores (and were for Mongo). When you do a query on time series data, you want to look up a start, read some data, and stop when you hit the end point. Getting it laid out largely sequentially on disk is a big win there.
- jsemrau 13y agoWhat GB/TByte Volume are we talking about here? Since memcache would be able to store some parts in RAM.