SP-GiST micro-optimizations

I did some performance testing of building an SP-GiST index, with the
new range type SP-GiST opclass. There's some low-hanging fruit there, I
was able to reduce the index build time on a simple test case by about
20% with a few small changes.

I created a test table with:

create table range_test AS SELECT int4range(i-10, i + 10) as r from
generate_series(1, 100000) i;

And measured the time it takes to build an index on that, on my laptop,
by repeating this a few times and taking the lowest value:

\timing
create index i_r on range_test using spgist (r);

On unpatched checkout from master, the shortest time was 19.2 seconds.

Profile taken with 'perf' tool looks like this:

21,43% postmaster postgres [.] spgdoinsert
17,25% postmaster postgres [.] range_deserialize
10,28% postmaster postgres [.] FunctionCall2Coll
9,68% postmaster postgres [.] spgExtractNodeLabels
7,99% postmaster postgres [.] spg_range_quad_choose
7,21% postmaster postgres [.] index_getprocinfo
5,24% postmaster postgres [.] range_cmp_bounds
4,74% postmaster postgres [.] AllocSetAlloc
2,49% postmaster postgres [.] btint4cmp
2,49% postmaster postgres [.] AllocSetFree
1,98% postmaster postgres [.] SpGistGetTypeSize
1,63% postmaster postgres [.] range_get_typcache
1,62% postmaster postgres [.] MemoryContextAlloc
1,16% postmaster postgres [.] pg_detoast_datum
0,87% postmaster postgres [.] PageIndexTupleDelete
0,65% postmaster postgres [.] pfree
0,49% postmaster postgres [.] XLogInsert

Drilling into the profile, I came up with three little optimizations:

1. Within spgdoinsert, a significant portion of the CPU time is spent on
line 2033 in spgdoinsert.c:

memset(&out, 0, sizeof(out));

That zeroes out a small struct allocated in the stack. Replacing that
with MemSet() makes it faster, reducing the time spent on zeroing that
struct from 10% to 1.5% of the time spent in spgdoinsert(). That's not
very much in the big scheme of things, but it's a trivial change so
seems worth it.

2. When spgdoinsert descends the tree, it calls index_getprocinfo()
every time it calls the user-defined "choose" function. By calling it
only once at the beginning of the function, the time spent in that
function drops from 7.21% to 0.02%.

3. Most of the AllocSetAlloc/AllocSetFree calls in the profile are
coming from spgExtractNodeLabels(). It first palloc's an array to hold
node labels, then it iterates through all the nodes in the inner tuple,
and if it turns out that there are no node labels, it pfrees the array
and returns NULL. With this opclass, there never are any node labels, so
spgExtractNodeLabels() always performs a pointless palloc+pfree. By
changing the function to first check if there are node labels, and only
performing the palloc when necessary, we can eliminate the time spent in
AllocSetAlloc and AllocSetFree, about 7% of the CPU time in total.

With those three changes, the profile now looks like this:

22,57% postmaster postgres [.] range_deserialize
21,54% postmaster postgres [.] spgdoinsert
13,37% postmaster postgres [.] FunctionCall2Coll
11,13% postmaster postgres [.] spg_range_quad_choose
7,11% postmaster postgres [.] range_cmp_bounds
6,96% postmaster postgres [.] spgExtractNodeLabels
3,68% postmaster postgres [.] btint4cmp
3,05% postmaster postgres [.] pg_detoast_datum
2,53% postmaster postgres [.] SpGistGetTypeSize
2,47% postmaster postgres [.] range_get_typcache
1,22% postmaster postgres [.] PageIndexTupleDelete
0,66% postmaster postgres [.] XLogInsert

Attached is a patch with those changes. Barring objections, will commit.

--
Heikki Linnakangas
EnterpriseDB http://www.enterprisedb.com