Sergey Koposov <Sergey.Koposov@ed.ac.uk> writes:
> #8 0x00005615d84f6a59 in ExecHashTableInsert (hashtable=0x5615da85e5c0, slot=0x5615da823378, hashvalue=2415356794)
> at nodeHash.c:1714
> shouldFree = true
> tuple = 0x5615da85f5e8
> bucketno = 32992122
> batchno = 3521863
Yeah, this confirms the idea that the hashtable has exploded into an
unreasonable number of buckets and batches. I don't know why a
parallel hash join would be more prone to do that than a non-parallel
one, though. I'm hoping some of the folks who worked on PHJ will
look at this.
What have you got work_mem set to? I hope it's fairly large, if
you need to join such large tables.
regards, tom lane
