Re: Faster inserts with mostly-monotonically increasing values - Mailing list pgsql-hackers
From | Claudio Freire |
---|---|
Subject | Re: Faster inserts with mostly-monotonically increasing values |
Date | |
Msg-id | CAGTBQpbYPhy9unDNrHeQGhWkAmhK5jojRZA=rw5rFB1+1nNNkg@mail.gmail.com Whole thread Raw |
In response to | Re: Faster inserts with mostly-monotonically increasing values (Claudio Freire <klaussfreire@gmail.com>) |
Responses |
Re: Faster inserts with mostly-monotonically increasing values
|
List | pgsql-hackers |
On Wed, Mar 14, 2018 at 12:05 PM, Claudio Freire <klaussfreire@gmail.com> wrote: > On Wed, Mar 14, 2018 at 1:36 AM, Pavan Deolasee > <pavan.deolasee@gmail.com> wrote: >> >> >> On Sun, Mar 11, 2018 at 9:18 PM, Claudio Freire <klaussfreire@gmail.com> >> wrote: >>> >>> On Sun, Mar 11, 2018 at 2:27 AM, Pavan Deolasee >>> >>> > >>> > Yes, I will try that next - it seems like a good idea. So the idea would >>> > be: >>> > check if the block is still the rightmost block and the insertion-key is >>> > greater than the first key in the page. If those conditions are >>> > satisfied, >>> > then we do a regular binary search within the page to find the correct >>> > location. This might add an overhead of binary search when keys are >>> > strictly >>> > ordered and a single client is inserting the data. If that becomes a >>> > concern, we might be able to look for that special case too and optimise >>> > for >>> > it too. >>> >>> Yeah, pretty much that's the idea. Beware, if the new item doesn't >>> fall in the rightmost place, you still need to check for serialization >>> conflicts. >> >> >> So I've been toying with this idea since yesterday and I am quite puzzled >> with the results. See the attached patch which compares the insertion key >> with the last key inserted by this backend, if the cached block is still the >> rightmost block in the tree. I initially only compared with the first key in >> the page, but I tried this version because of the strange performance >> regression which I still have no answers. >> >> For a small number of clients, the patched version does better. But as the >> number of clients go up, the patched version significantly underperforms >> master. I roughly counted the number of times the fastpath is taken and I >> noticed that almost 98% inserts take the fastpath. I first thought that the >> "firstkey" location in the page might be becoming a hot-spot for concurrent >> processes and hence changed that to track the per-backend last offset and >> compare against that the next time. But that did not help much. > > + _bt_compare(rel, natts, itup_scankey, page, > + RelationGetLastOffset(rel)) >= 0) > > Won't this access garbage if the last offset is stale and beyond the > current rightmost page's last offset? > > I'd suggest simply using P_FIRSTDATAKEY after checking that the page > isn't empty (see _bt_binsrch). > > On Wed, Mar 14, 2018 at 11:12 AM, Pavan Deolasee > <pavan.deolasee@gmail.com> wrote: >>> > Hmm. I can try that. It's quite puzzling though that slowing down things >>> > actually make them better. >>> >>> That's not what is happening though. >>> >>> The cache path is 1) try to lock cached block, 2) when got lock check >>> relevance, if stale 3) recheck from top >>> >>> The non-cached path is just 3) recheck from top >>> >>> The overall path length is longer in the cached case but provides >>> benefit if we can skip step 3 in high % of cases. The non-cached path >>> is more flexible because it locates the correct RHS block, even if it >>> changes dynamically between starting the recheck from top. >>> >> >> So as I noted in one of the previous emails, the revised patch still takes >> fast path in 98% cases. So it's not clear why the taking steps 1, 2 and 3 in >> just 2% cases should cause such dramatic slowdown. > > Real-world workloads will probably take the slow path more often, so > it's probably worth keeping the failure path as contention-free as > possible. > > Besides, even though it may be just 2% the times it lands there, it > could still block for a considerable amount of time for no benefit. > > So I guess a conditional lock is not a bad idea. Re all of the above, I did some tests. I couldn't reproduce the regression you showed so clearly, in fact at all, but I was able to get consistently lock-bound with 8 clients by setting fsync=off. Something noteworthy, is that both master and patched are lock-bound. It just must be that when that happens, the extra check for the rightmost page really hurts. So, I tried the conditional locks, and indeed it (at least in my meager hardware) turns the lock-bound test into an I/O bound one. I applied the attached patches on top of your patch, so it would be nice to see if you can give it a try in your test hardware to see whether it helps.
Attachment
pgsql-hackers by date: