Eric Davies <[EMAIL PROTECTED]> writes:
> A recent project of ours involved storing/fetching some reasonably large
> datasets in a home-brew datatype. The datasets tended to range from a few
> megabytes, to several gigabytes. We were seeing some nonlinear slowness
> with using native large objects with larger datasets, presumably due to the
> increasing depth of the btree index used to track all the little pieces of
> the blobs.
Did you do any profiling to back up that "presumably"? It seems at
least as likely to me that this was caused by some easily-fixed
inefficiency somewhere. There are still a lot of O(N^2) algorithms
in the backend that no one has run up against yet ...
regards, tom lane
---------------------------(end of broadcast)---------------------------
TIP 1: subscribe and unsubscribe commands go to [EMAIL PROTECTED]
