Re: [PoC] Improve dead tuple storage for lazy vacuum - Mailing list pgsql-hackers
From | Masahiko Sawada |
---|---|
Subject | Re: [PoC] Improve dead tuple storage for lazy vacuum |
Date | |
Msg-id | CAD21AoAwc+2MU782=uNNxfU4qhPUaq7HZrUkhHbdoBx0ibQbZA@mail.gmail.com Whole thread Raw |
In response to | Re: [PoC] Improve dead tuple storage for lazy vacuum (John Naylor <john.naylor@enterprisedb.com>) |
Responses |
Re: [PoC] Improve dead tuple storage for lazy vacuum
(Masahiko Sawada <sawada.mshk@gmail.com>)
|
List | pgsql-hackers |
Hi, On Mon, Oct 10, 2022 at 2:16 PM John Naylor <john.naylor@enterprisedb.com> wrote: > > The following is not quite a full review, but has plenty to think about. There is too much to cover at once, and I haveto start somewhere... > > My main concerns are that internal APIs: > > 1. are difficult to follow > 2. lead to poor branch prediction and too many function calls > > Some of the measurements are picking on the SIMD search code, but I go into details in order to demonstrate how a regressionthere can go completely unnoticed. Hopefully the broader themes are informative. > > On Fri, Oct 7, 2022 at 3:09 PM Masahiko Sawada <sawada.mshk@gmail.com> wrote: > > [fixed benchmarks] > > Thanks for that! Now I can show clear results on some aspects in a simple way. The attached patches (apply on top of v6)are not intended to be incorporated as-is quite yet, but do point the way to some reorganization that I think is necessary.I've done some testing on loading, but will leave it out for now in the interest of length. > > > 0001-0003 are your performance test fix and and some small conveniences for testing. Binary search is turned off, for example,because we know it already. And the sleep call is so I can run perf in a different shell session, on only the searchportion. > > Note the v6 test loads all block numbers in the range. Since the test item ids are all below 64 (reasonable), there arealways 32 leaf chunks, so all the leaves are node32 and completely full. This had the effect of never taking the byte-wiseloop in the proposed pg_lsearch function. These two aspects make this an easy case for the branch predictor: > > john=# select * from bench_seq_search(0, 1*1000*1000); > NOTICE: num_keys = 1000000, height = 2, n4 = 0, n16 = 0, n32 = 31251, n128 = 1, n256 = 122 > NOTICE: sleeping for 2 seconds... > nkeys | rt_mem_allocated | array_mem_allocated | rt_load_ms | array_load_ms | rt_search_ms | array_serach_ms > ---------+------------------+---------------------+------------+---------------+--------------+----------------- > 1000000 | 10199040 | 180000000 | 167 | 0 | 822 | 0 > > 1,470,141,841 branches:u > 63,693 branch-misses:u # 0.00% of all branches > > john=# select * from bench_shuffle_search(0, 1*1000*1000); > NOTICE: num_keys = 1000000, height = 2, n4 = 0, n16 = 0, n32 = 31251, n128 = 1, n256 = 122 > NOTICE: sleeping for 2 seconds... > nkeys | rt_mem_allocated | array_mem_allocated | rt_load_ms | array_load_ms | rt_search_ms | array_serach_ms > ---------+------------------+---------------------+------------+---------------+--------------+----------------- > 1000000 | 10199040 | 180000000 | 168 | 0 | 2174 | 0 > > 1,470,142,569 branches:u > 15,023,983 branch-misses:u # 1.02% of all branches > > > 0004 randomizes block selection in the load part of the search test so that each block has a 50% chance of being loaded. Note that now we have many node16s where we had none before. Although node 16 and node32 appear to share the samepath in the switch statement of rt_node_search(), the chunk comparison and node_get_values() calls each must go throughdifferent branches. The shuffle case is most affected, but even the sequential case slows down. (The leaves are lessfull -> there are more of them, so memory use is larger, but it shouldn't matter much, in the sequential case at least) > > john=# select * from bench_seq_search(0, 2*1000*1000); > NOTICE: num_keys = 999654, height = 2, n4 = 1, n16 = 35610, n32 = 26889, n128 = 1, n256 = 245 > NOTICE: sleeping for 2 seconds... > nkeys | rt_mem_allocated | array_mem_allocated | rt_load_ms | array_load_ms | rt_search_ms | array_serach_ms > --------+------------------+---------------------+------------+---------------+--------------+----------------- > 999654 | 14893056 | 179937720 | 173 | 0 | 907 | 0 > > 1,684,114,926 branches:u > 1,989,901 branch-misses:u # 0.12% of all branches > > john=# select * from bench_shuffle_search(0, 2*1000*1000); > NOTICE: num_keys = 999654, height = 2, n4 = 1, n16 = 35610, n32 = 26889, n128 = 1, n256 = 245 > NOTICE: sleeping for 2 seconds... > nkeys | rt_mem_allocated | array_mem_allocated | rt_load_ms | array_load_ms | rt_search_ms | array_serach_ms > --------+------------------+---------------------+------------+---------------+--------------+----------------- > 999654 | 14893056 | 179937720 | 173 | 0 | 2890 | 0 > > 1,684,115,844 branches:u > 34,215,740 branch-misses:u # 2.03% of all branches > > > 0005 replaces pg_lsearch with a branch-free SIMD search. Note that it retains full portability and gains predictable performance.For demonstration, it's used on all three linear-search types. Although I'm sure it'd be way too slow for node4,this benchmark hardly has any so it's ok. > > john=# select * from bench_seq_search(0, 2*1000*1000); > NOTICE: num_keys = 999654, height = 2, n4 = 1, n16 = 35610, n32 = 26889, n128 = 1, n256 = 245 > NOTICE: sleeping for 2 seconds... > nkeys | rt_mem_allocated | array_mem_allocated | rt_load_ms | array_load_ms | rt_search_ms | array_serach_ms > --------+------------------+---------------------+------------+---------------+--------------+----------------- > 999654 | 14893056 | 179937720 | 176 | 0 | 867 | 0 > > 1,469,540,357 branches:u > 96,678 branch-misses:u # 0.01% of all branches > > john=# select * from bench_shuffle_search(0, 2*1000*1000); > NOTICE: num_keys = 999654, height = 2, n4 = 1, n16 = 35610, n32 = 26889, n128 = 1, n256 = 245 > NOTICE: sleeping for 2 seconds... > nkeys | rt_mem_allocated | array_mem_allocated | rt_load_ms | array_load_ms | rt_search_ms | array_serach_ms > --------+------------------+---------------------+------------+---------------+--------------+----------------- > 999654 | 14893056 | 179937720 | 171 | 0 | 2530 | 0 > > 1,469,540,533 branches:u > 15,019,975 branch-misses:u # 1.02% of all branches > > > 0006 removes node16, and 0007 avoids a function call to introspect node type. 0006 is really to make 0007 simpler to code.The crucial point here is that calling out to rt_node_get_values/children() to figure out what type we are is costly.With these patches, searching an unevenly populated load is the same or faster than the original sequential load,despite taking twice as much memory. (And, as I've noted before, decoupling size class from node kind would win thememory back.) > > john=# select * from bench_seq_search(0, 2*1000*1000); > NOTICE: num_keys = 999654, height = 2, n4 = 1, n32 = 62499, n128 = 1, n256 = 245 > NOTICE: sleeping for 2 seconds... > nkeys | rt_mem_allocated | array_mem_allocated | rt_load_ms | array_load_ms | rt_search_ms | array_serach_ms > --------+------------------+---------------------+------------+---------------+--------------+----------------- > 999654 | 20381696 | 179937720 | 171 | 0 | 717 | 0 > > 1,349,614,294 branches:u > 1,313 branch-misses:u # 0.00% of all branches > > john=# select * from bench_shuffle_search(0, 2*1000*1000); > NOTICE: num_keys = 999654, height = 2, n4 = 1, n32 = 62499, n128 = 1, n256 = 245 > NOTICE: sleeping for 2 seconds... > nkeys | rt_mem_allocated | array_mem_allocated | rt_load_ms | array_load_ms | rt_search_ms | array_serach_ms > --------+------------------+---------------------+------------+---------------+--------------+----------------- > 999654 | 20381696 | 179937720 | 172 | 0 | 2202 | 0 > > 1,349,614,741 branches:u > 30,592 branch-misses:u # 0.00% of all branches > > Expanding this point, once a path branches based on node kind, there should be no reason to ever forget the kind. Therabstractions in v6 have disadvantages. I understand the reasoning -- to reduce duplication of code. However, done thisway, less code in the text editor leads to *more* code (i.e. costly function calls and branches) on the machine level. Right. When updating the patch from v4 to v5, I've eliminated the duplication of code between each node type as much as possible, which in turn produced more code on the machine level. The resulst of your experiment clearly showed the bad side of this work. FWIW I've also confirmed your changes in my environment (I've added the third argument to turn on and off the randomizes block selection proposed in 0004 patch): * w/o patches postgres(1:361692)=# select * from bench_seq_search(0, 1 * 1000 * 1000, false); 2022-10-14 11:33:15.460 JST [361692] LOG: num_keys = 1000000, height = 2, n4 = 0, n16 = 0, n32 = 31251, n128 = 1, n256 = 122 NOTICE: sleeping for 2 seconds... nkeys | rt_mem_allocated | array_mem_allocated | rt_load_ms | array_load_ms | rt_search_ms | array_serach_ms ---------+------------------+---------------------+------------+---------------+--------------+----------------- 1000000 | 10199040 | 180000000 | 87 | | 462 | (1 row) 1590104944 branches:u # 3.430 G/sec 65957 branch-misses:u # 0.00% of all branches postgres(1:361692)=# select * from bench_seq_search(0, 2 * 1000 * 1000, true); 2022-10-14 11:33:28.934 JST [361692] LOG: num_keys = 999654, height = 2, n4 = 1, n16 = 35610, n32 = 26889, n128 = 1, n256 = 245 NOTICE: sleeping for 2 seconds... nkeys | rt_mem_allocated | array_mem_allocated | rt_load_ms | array_load_ms | rt_search_ms | array_serach_ms --------+------------------+---------------------+------------+---------------+--------------+----------------- 999654 | 14893056 | 179937720 | 91 | | 497 | (1 row) 1748249456 branches:u # 3.506 G/sec 481074 branch-misses:u # 0.03% of all branches postgres(1:361692)=# select * from bench_shuffle_search(0, 1 * 1000 * 1000, false); 2022-10-14 11:33:38.378 JST [361692] LOG: num_keys = 1000000, height = 2, n4 = 0, n16 = 0, n32 = 31251, n128 = 1, n256 = 122 NOTICE: sleeping for 2 seconds... nkeys | rt_mem_allocated | array_mem_allocated | rt_load_ms | array_load_ms | rt_search_ms | array_serach_ms ---------+------------------+---------------------+------------+---------------+--------------+----------------- 1000000 | 10199040 | 180000000 | 86 | | 1290 | (1 row) 1590105370 branches:u # 1.231 G/sec 15039443 branch-misses:u # 0.95% of all branches Time: 4166.346 ms (00:04.166) postgres(1:361692)=# select * from bench_shuffle_search(0, 2 * 1000 * 1000, true); 2022-10-14 11:33:51.556 JST [361692] LOG: num_keys = 999654, height = 2, n4 = 1, n16 = 35610, n32 = 26889, n128 = 1, n256 = 245 NOTICE: sleeping for 2 seconds... nkeys | rt_mem_allocated | array_mem_allocated | rt_load_ms | array_load_ms | rt_search_ms | array_serach_ms --------+------------------+---------------------+------------+---------------+--------------+----------------- 999654 | 14893056 | 179937720 | 90 | | 1536 | (1 row) 1748250497 branches:u # 1.137 G/sec 28125016 branch-misses:u # 1.61% of all branches * w/ all patches postgres(1:360358)=# select * from bench_seq_search(0, 1 * 1000 * 1000, false); 2022-10-14 11:29:27.232 JST [360358] LOG: num_keys = 1000000, height = 2, n4 = 0, n32 = 31251, n128 = 1, n256 = 122 NOTICE: sleeping for 2 seconds... nkeys | rt_mem_allocated | array_mem_allocated | rt_load_ms | array_load_ms | rt_search_ms | array_serach_ms ---------+------------------+---------------------+------------+---------------+--------------+----------------- 1000000 | 10199040 | 180000000 | 81 | | 432 | (1 row) 1380062209 branches:u # 3.185 G/sec 1066 branch-misses:u # 0.00% of all branches postgres(1:360358)=# select * from bench_seq_search(0, 2 * 1000 * 1000, true); 2022-10-14 11:29:46.380 JST [360358] LOG: num_keys = 999654, height = 2, n4 = 1, n32 = 62499, n128 = 1, n256 = 245 NOTICE: sleeping for 2 seconds... nkeys | rt_mem_allocated | array_mem_allocated | rt_load_ms | array_load_ms | rt_search_ms | array_serach_ms --------+------------------+---------------------+------------+---------------+--------------+----------------- 999654 | 20381696 | 179937720 | 88 | | 438 | (1 row) 1379640815 branches:u # 3.133 G/sec 1332 branch-misses:u # 0.00% of all branches postgres(1:360358)=# select * from bench_shuffle_search(0, 1 * 1000 * 1000, false); 2022-10-14 11:30:00.943 JST [360358] LOG: num_keys = 1000000, height = 2, n4 = 0, n32 = 31251, n128 = 1, n256 = 122 NOTICE: sleeping for 2 seconds... nkeys | rt_mem_allocated | array_mem_allocated | rt_load_ms | array_load_ms | rt_search_ms | array_serach_ms ---------+------------------+---------------------+------------+---------------+--------------+----------------- 1000000 | 10199040 | 180000000 | 81 | | 994 | (1 row) 1380062386 branches:u # 1.386 G/sec 18368 branch-misses:u # 0.00% of all branches postgres(1:360358)=# select * from bench_shuffle_search(0, 2 * 1000 * 1000, true); 2022-10-14 11:30:15.944 JST [360358] LOG: num_keys = 999654, height = 2, n4 = 1, n32 = 62499, n128 = 1, n256 = 245 NOTICE: sleeping for 2 seconds... nkeys | rt_mem_allocated | array_mem_allocated | rt_load_ms | array_load_ms | rt_search_ms | array_serach_ms --------+------------------+---------------------+------------+---------------+--------------+----------------- 999654 | 20381696 | 179937720 | 88 | | 1098 | (1 row) 1379641503 branches:u # 1.254 G/sec 18973 branch-misses:u # 0.00% of all branches > I haven't looked at insert/load performance carefully, but it's clear it suffers from the same amnesia. prepare_node_for_insert()branches based on the kind. If it must call rt_node_grow(), that function has no idea where it camefrom and must branch again. When prepare_node_for_insert() returns we again have no idea what the kind is, so must branchagain. And if we are one of the three linear-search nodes, we later do another function call, where we encounter a5-way jump table because the caller could be anything at all. > > Some of this could be worked around with always-inline functions to which we pass a const node kind, and let the compilerget rid of the branches etc. But many cases are probably not even worth doing that. For example, I don't think prepare_node_for_insert()is a useful abstraction to begin with. It returns an index, but only for linear nodes. Lookup nodesget a return value of zero. There is not enough commonality here. Agreed. > > Along the same lines, there are a number of places that have branches as a consequence of treating inner nodes and leaveswith the same api: > > rt_node_iterate_next > chunk_array_node_get_slot > node_128/256_get_slot > rt_node_search > > I'm leaning towards splitting these out into specialized functions for each inner and leaf. This is a bit painful for thelast one, but perhaps if we are resigned to templating the shared-mem case, maybe we can template some of the inner/leafstuff. Something to think about for later, but for now I believe we have to accept some code duplication as a prerequisitefor decent performance as well as readability. Agreed. > > For the next steps, we need to proceed cautiously because there is a lot in the air at the moment. Here are some aspectsI would find desirable. If there are impracticalities I haven't thought of, we can discuss further. I don't pretendto know the practical consequences of every change I mention. > > - If you have started coding the shared memory case, I'd advise to continue so we can see what that looks like. If thathas not gotten beyond the design stage, I'd like to first see an attempt at tearing down some of the clumsier abstractionsin the current patch. > - As a "smoke test", there should ideally be nothing as general as rt_node_get_children/values(). We should ideally alwaysknow what kind we are if we found out earlier. > - For distinguishing between linear nodes, perhaps some always-inline functions can help hide details. But at the sametime, trying to treat them the same is not always worthwhile. > - Start to separate treatment of inner/leaves and see how it goes. Since I've not started coding the shared memory case seriously, I'm going to start with eliminating abstractions and splitting the treatment of inner and leaf nodes. > - I firmly believe we only need 4 node *kinds*, and later we can decouple the size classes as a separate concept. I'm willingto put serious time into that once the broad details are right. I will also investigate pointer tagging if we canconfirm that can work similarly for dsa pointers. I'll keep 4 node kinds. And we can later try to introduce classes into each node kind. > > Regarding size class decoupling, I'll respond to a point made earlier: > > On Fri, Sep 30, 2022 at 10:47 PM Masahiko Sawada <sawada.mshk@gmail.com> wrote: > > With this idea, we can just repalloc() to grow to the larger size in a > > pair but I'm slightly concerned that the more size class we use, the > > more frequent the node needs to grow. > > Well, yes, but that's orthogonal. For example, v6 has 5 node kinds. Imagine that we have 4 node kinds, but the SIMD nodekind used 2 size classes. Then the nodes would grow at *exactly* the same frequency as they do today. I listed many waysa size class could fit into a power-of-two (and there are more), but we have a choice in how many to actually use. It'sa trade off between memory usage and complexity. Agreed. Regards, -- Masahiko Sawada PostgreSQL Contributors Team RDS Open Source Databases Amazon Web Services: https://aws.amazon.com
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