On Sat, Apr 20, 2019 at 02:30:09PM -0500, Justin Pryzby wrote:
On Sun, Apr 14, 2019 at 11:24:59PM -0400, Tom Lane wrote:
Gunther <raj@xxxxxxxx> writes:
> ExecutorState: 2234123384 total in 266261 blocks; 3782328 free (17244 chunks); 2230341056 used
Oooh, that looks like a memory leak right enough. The ExecutorState
should not get that big for any reasonable query.
On Tue, Apr 16, 2019 at 11:30:19AM -0400, Tom Lane wrote:
Hmm ... this matches up with a vague thought I had that for some reason
the hash join might be spawning a huge number of separate batches.
Each batch would have a couple of files with associated in-memory
state including an 8K I/O buffer, so you could account for the
On Tue, Apr 16, 2019 at 10:24:53PM -0400, Gunther wrote:
-> Hash (cost=2861845.87..2861845.87 rows=34619 width=74) (actual time=199792.446..199792.446 rows=113478127 loops=1)
Buckets: 65536 (originally 65536) Batches: 131072 (originally 2) Memory Usage: 189207kB
Is it significant that there are ~2x as many ExecutorState blocks as there are
batches ? 266261/131072 => 2.03...
IMO that confirms this is the issue with BufFile I just described, because
the struct is >8K, so it's allocated as a separate block (it exceeds the
threshold in AllocSet). And we have two BufFile(s) for each batch, because
we need to batch both the inner and outer relations.
If there was 1 blocks leaked when batch=2, and 2 blocks leaked when batch=4,
and 4 blocks leaked when batch=131072, then when batch=16, there'd be 64k
leaked blocks, and 131072 total blocks.
I'm guessing Tom probably already thought of this, but:
2230341056/266261 => ~8376
Well, the BufFile is 8272 on my system, so that's pretty close ;-)
which is pretty close to the 8kB I/O buffer you were talking about (if the
number of same-sized buffers much greater than other allocations).
If Tom thinks (as I understand) that the issue is *not* a memory leak, but out
of control increasing of nbatches, and failure to account for their size...then
this patch might help.
The number of batches is increased to avoid exceeding work_mem. With very low
work_mem (or very larger number of tuples hashed), it'll try to use a large
number of batches. At some point the memory used by BatchFiles structure
(increasing by powers of two) itself exceeds work_mem.
With larger work_mem, there's less need for more batches. So the number of
batches used for small work_mem needs to be constrained, either based on
work_mem, or at all.
With my patch, the number of batches is nonlinear WRT work_mem, and reaches a
maximum for moderately small work_mem. The goal is to choose the optimal
number of batches to minimize the degree to which work_mem is exceeded.
Yeah. The patch might be enough for debugging, but it's clearly not
something we could adopt as is, because we increase the number of batches
for a reason - we need to do that to keep the amount of memory needed for
the hash table contents (i.e. rows) below work_mem. If you just cap the
number of batches, you'll keep the amount of memory for BufFile under
control, but the hash table may exceed work_mem.
Considering how rare this issue likely is, we need to be looking for a
solution that does not break the common case.
regards
--
Tomas Vondra http://www.2ndQuadrant.com
PostgreSQL Development, 24x7 Support, Remote DBA, Training & Services
