> OK, here's the (hopefully final) version of the typanalyze function for
> tsvectors. It applies to HEAD and passes regression tests.
> I now plan to move towards a selectivity function that'll use the
> gathered statistics.
Applied with some revisions.
Rather than making pg_statistic stakind 4 be specific to tsvector,
I thought it'd be better to define it as "most common elements", with
the idea that it could be used for array and array-like types as well as
tsvector. (I'm not actually planning to go off and make that happen
right now, but it seems like a pretty obvious extension.)
I thought it was a bit schizophrenic to repurpose
pg_stats.most_common_freqs for element frequencies while creating a
separate column for the elements themselves. What I've done for the
moment is to define both most_common_vals and most_common_freqs as
referring to the elements in the case of tsvector (or anything else that
has stakind 4 in place of stakind 1). You could make an argument for
inventing *two* new pg_stats columns instead, but I think that is
probably overkill; I doubt it'll be useful to have both MCV and MCELEM
stats for the same column. This could easily be changed though.
I removed the prune step after the last tsvector. I'm not convinced
that the LC algorithm's guarantees still hold if we prune partway
through a bucket, and anyway it's far from clear that we'd save enough
in the sort step to compensate for more HASH_REMOVE operations. I'm
open to being convinced otherwise.
I made some other cosmetic changes, but those were the substantive ones.
regards, tom lane
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