On Wed, Nov 16, 2022 at 12:33 PM Masahiko Sawada <
sawada.mshk@gmail.com> wrote:
>
> On Wed, Nov 16, 2022 at 1:46 PM John Naylor
> <
john.naylor@enterprisedb.com> wrote:
> >
> >
> > On Tue, Nov 15, 2022 at 11:59 AM Masahiko Sawada <
sawada.mshk@gmail.com> wrote:
> > > Thanks! Please let me know if there is something I can help with.
> >
> > I didn't get very far because the tests fail on 0004 in rt_verify_node:
> >
> > TRAP: failed Assert("n4->chunks[i - 1] < n4->chunks[i]"), File: "../src/backend/lib/radixtree.c", Line: 2186, PID: 18242
>
> Which tests do you use to get this assertion failure? I've confirmed
> there is a bug in 0005 patch but without it, "make check-world"
> passed.
Hmm, I started over and rebuilt and it didn't reproduce. Not sure what happened, sorry for the noise.
I'm attaching a test I wrote to stress test branch prediction in search, and while trying it out I found two possible issues.
It's based on the random int load test, but tests search speed. Run like this:
select * from bench_search_random_nodes(10 * 1000 * 1000)
It also takes some care to include all the different node kinds, restricting the possible keys by AND-ing with a filter. Here's a simple demo:
filter = ((uint64)1<<40)-1;
LOG: num_keys = 9999967, height = 4, n4 = 17513814, n32 = 6320, n128 = 62663, n256 = 3130
Just using random integers leads to >99% using the smallest node. I wanted to get close to having the same number of each, but that's difficult while still using random inputs. I ended up using
filter = (((uint64) 0x7F<<32) | (0x07<<24) | (0xFF<<16) | 0xFF)
which gives
LOG: num_keys = 9291812, height = 4, n4 = 262144, n32 = 79603, n128 = 182670, n256 = 1024
Which seems okay for the task. One puzzling thing I found while trying various filters is that sometimes the reported tree height would change. For example:
filter = (((uint64) 1<<32) | (0xFF<<24));
LOG: num_keys = 9999944, height = 7, n4 = 47515559, n32 = 6209, n128 = 62632, n256 = 3161
1) Any idea why the tree height would be reported as 7 here? I didn't expect that.
2) It seems that 0004 actually causes a significant slowdown in this test (as in the attached, using the second filter above and with turboboost disabled):
v9 0003: 2062 2051 2050
v9 0004: 2346 2316 2321
That means my idea for the pointer struct might have some problems, at least as currently implemented. Maybe in the course of separating out and polishing that piece, an inefficiency will fall out. Or, it might be another reason to template local and shared separately. Not sure yet. I also haven't tried to adjust this test for the shared memory case.