Re: DSA overflow in hash join - Mailing list pgsql-hackers
From | Heikki Linnakangas |
---|---|
Subject | Re: DSA overflow in hash join |
Date | |
Msg-id | c53dd06f-3e3b-4b7b-b3b7-65170019850e@iki.fi Whole thread Raw |
In response to | Re: DSA overflow in hash join (Konstantin Knizhnik <knizhnik@garret.ru>) |
List | pgsql-hackers |
On 31/07/2025 18:13, Konstantin Knizhnik wrote: > > On 27/07/2025 8:24 PM, Konstantin Knizhnik wrote: >> >> I still trying to understand the reason of DSA overflow in hash join. >> In addition to two suspicious places where number of buckets is >> doubled without chek for overflow (nodeHash.c:1668 and nodeHash.c:3290), >> there is one more place where number of batches is multiplied by >> `EstimateParallelHashJoinBatch(hashtable)` which is >> >> sizeof(ParallelHashJoinBatch) + (sizeof(SharedTuplestore) + >> sizeof(SharedTuplestoreParticipant) * participants) * 2 >> >> which is 480 bytes! >> >> But when we calculate maximal number of batches, we limit it by >> macximal number of pointers (8 bytes): >> >> max_pointers = hash_table_bytes / sizeof(HashJoinTuple); >> max_pointers = Min(max_pointers, MaxAllocSize / >> sizeof(HashJoinTuple)); >> /* If max_pointers isn't a power of 2, must round it down to one */ >> max_pointers = pg_prevpower2_size_t(max_pointers); >> >> /* Also ensure we avoid integer overflow in nbatch and nbuckets */ >> /* (this step is redundant given the current value of MaxAllocSize) */ >> max_pointers = Min(max_pointers, INT_MAX / 2 + 1); >> >> dbuckets = ceil(ntuples / NTUP_PER_BUCKET); >> dbuckets = Min(dbuckets, max_pointers); >> nbuckets = (int) dbuckets; >> >> >> But as we see, here multiplier is 480 bytes, not 8 bytes. >> > > Below is script to reproduce the problem: > > CREATE TABLE IF NOT EXISTS t0(c0 FLOAT, PRIMARY KEY(c0)) WITH > (parallel_workers=966); > CREATE TABLE t2(c0 DECIMAL, c1 int4range ) WITH (parallel_workers=393); > CREATE TABLE t4(LIKE t2); > CREATE TABLE t5(LIKE t0); > INSERT INTO t4(c0) VALUES(0.5934077416223362); > > set work_mem='10MB'; > set max_parallel_workers_per_gather=5; > > explain SELECT SUM(count) FROM (SELECT ALL CAST(FALSE AS INT) as count > FROM ONLY t5, ONLY t2 CROSS JOIN ONLY t0 LEFT OUTER JOIN t4* ON > (upper(((t2.c1)+(t2.c1))))::BOOLEAN CROSS JOIN (SELECT t4.c0 FROM ONLY > t0, t2*, t5*, t4* WHERE (((t2.c1)*(t2.c1))) IN (t4.c1)) AS sub0) as res; > > SELECT SUM(count) FROM (SELECT ALL CAST(FALSE AS INT) as count FROM ONLY > t5, ONLY t2 CROSS JOIN ONLY t0 LEFT OUTER JOIN t4* ON > (upper(((t2.c1)+(t2.c1))))::BOOLEAN CROSS JOIN (SELECT t4.c0 FROM ONLY > t0, t2*, t5*, t4* WHERE (((t2.c1)*(t2.c1))) IN (t4.c1)) AS sub0) as res; Great repro, thanks! > And attached please find patch fixing the issue. There are a lot of allocations in hash join. For example this in ExecParallelHashEnsureBatchAccessors(): /* Allocate this backend's accessor array. */ hashtable->nbatch = pstate->nbatch; hashtable->batches = palloc0_array(ParallelHashJoinBatchAccessor, hashtable->nbatch); That could also exceed MaxAllocSize, right? I think we need to take that into account in calculating the max number of batches, too. Is this only a problem for parallel hash joins? In general, it's really hard to follow the logic of where we enforce what limits in ExecChooseHashTableSize(). How can we be sure that we accounted for all allocations? Could we have more (static) assertions or something, to ensure we've covered everything? A different approach might be to make ExecChooseHashTableSize() return just estimates, and enforce the hard limits later. But that could lead to worse decisions: it's good for ExecChooseHashTableSize() to take the maximum limits into account. On the proposed patch: > @@ -775,6 +777,16 @@ ExecChooseHashTableSize(double ntuples, int tupwidth, bool useskew, > /* If max_pointers isn't a power of 2, must round it down to one */ > max_pointers = pg_prevpower2_size_t(max_pointers); > > + /* > + * Prevent DSA overflow. This is expanded definition of EstimateParallelHashJoinBatch function > + * used in ExecParallelHashJoinSetUpBatches: > + * dsa_allocate0(hashtable->area, > + * EstimateParallelHashJoinBatch(hashtable) * nbatch) > + */ > + max_batches = MaxAllocSize / (MAXALIGN(sizeof(ParallelHashJoinBatch)) + > + MAXALIGN(sts_estimate(max_parallel_workers_per_gather + 1) * 2)); > + max_batches = pg_prevpower2_size_t(max_batches); > + > /* Also ensure we avoid integer overflow in nbatch and nbuckets */ > /* (this step is redundant given the current value of MaxAllocSize) */ > max_pointers = Min(max_pointers, INT_MAX / 2 + 1); Would be nice to not copy the macro here.. BTW I don't like the name EstimateParallelHashJoinBatch(). It's not just an estimate, it's used to allocate memory for an array, and it better be accurate. See also NthParallelHashJoinBatch. > @@ -910,7 +923,8 @@ ExecChooseHashTableSize(double ntuples, int tupwidth, bool useskew, > * this during the initial sizing - once we start building the hash, > * nbucket is fixed. > */ > - while (nbatch > 0) > + while (nbatch > 0 && > + nbuckets * 2 <= max_pointers) /* prevent allocation limit overflow */ Hmm, that doesn't seem quite right. 'max_pointers' is derived from work_mem, but the point of this loop is to reduce memory usage, when you're already over the work_mem limit. I think we should use a hard limit derived only from MaxAllocSize here. > { > /* how much memory are we using with current nbatch value */ > size_t current_space = hash_table_bytes + (2 * nbatch * BLCKSZ); Hmm, should we add the memory usage calculated by EstimateParallelHashJoinBatch() to this per-batch overhead, too? - Heikki
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