On Wed, Nov 22, 2017 at 7:04 AM, Tom Lane <tgl@sss.pgh.pa.us> wrote:
> Now, there's definitely something busted here; it should not have gone as
> far as 2 million batches before giving up on splitting.
I had been meaning to discuss this. We only give up when we reach the
point when a batch is entirely entirely kept or sent to a new batch
(ie splitting the batch resulted in one batch with the whole contents
and another empty batch). If you have about 2 million evenly
distributed keys and an ideal hash function, and then you also have 42
billion keys that are the same (and exceed work_mem), we won't detect
extreme skew until the 2 million well behaved keys have been spread so
thin that the 42 billion keys are isolated in a batch on their own,
which we should expect to happen somewhere around 2 million batches.
I have wondered if our extreme skew detector needs to go off sooner.
I don't have a specific suggestion, but it could just be something
like 'you threw out or kept more than X% of the tuples'.
--
Thomas Munro
http://www.enterprisedb.com
