I know there has been some very brief discussion of a pure python couchbase API, but did anything actually happen with it?
A reliance on a C library makes deploying on a heterogeneous environment practically impossible.
Mixed environment of clients (Mac, Linux, Windows)....
I'm having a very uneven distribution of 100usec and 1msec query time for following test command: cbs-pillowfight -h localhost -b default -i 1 -I 10000
It's a two-node cluster running on i7-2600'...
We are having some performance issues with our ongoing project because we get back lots of values from our views and cannot group them because we don't use any reduce function.
Here, we want all gpi - values which share the came cell_id back. problem here is that lots of document share the same gpi and the same cell_id. The group function is no option since we found no reduce to perform here. Since we get back so many duplicate values we have to put in a set in python so they are unique we lose a lot of performance due to iterating through all values couichbase returns.
An example doc and view are in the full description.
Does anyone have any idea how we could solve this problem?