Hi, On 2018-06-05 10:05:35 +0200, Tomas Vondra wrote: > My concern is more about what happens when the input tuple ordering is > inherently incompatible with the eviction strategy, greatly increasing the > amount of data written to disk during evictions. > > Say for example that we can fit 1000 groups into work_mem, and that there > are 2000 groups in the input data set. If the input is correlated with the > groups, everything is peachy because we'll evict the first batch, and then > group the remaining 1000 groups (or something like that). But if the input > data is random (which can easily happen, e.g. for IP addresses, UUIDs and > such) we'll hit the limit repeatedly and will evict much sooner.
> I know you suggested simply dumping the whole hash table and starting from > scratch while we talked about this at pgcon, but ISTM it has exactly this > issue. Yea, that's the case I was thinking of where going to sorting will very likely have better performance. I think it'd even be sensible to have a "skew tuple" like optimization. When detecting getting closer to memory exhaustion, move new groups to the tuplesort, but already hashed tuples stay in the hashtable. That'd still need tuples being moved to the sort in the cases where the transition values get to big (say array_agg), but that should be comparatively rare. I'm sure we could do better in selecting the hash-tabled values than just taking the first incoming ones, but that shouldn't be too bad. Greetings, Andres Freund
