Track the maximum possible frequency of non-MCE array elements.
The lossy-counting algorithm that ANALYZE uses to identify most-common
array elements has a notion of cutoff frequency: elements with
frequency greater than that are guaranteed to be collected, elements
with smaller frequencies are not. In cases where we find fewer MCEs
than the stats target would permit us to store, the cutoff frequency
provides valuable additional information, to wit that there are no
non-MCEs with frequency greater than that. What the selectivity
estimation functions actually use the "minfreq" entry for is as a
ceiling on the possible frequency of non-MCEs, so using the cutoff
rather than the lowest stored MCE frequency provides a tighter bound
and more accurate estimates.
Therefore, instead of redundantly storing the minimum observed MCE
frequency, store the cutoff frequency when there are fewer tracked
values than we want. (When there are more, then of course we cannot
assert that no non-stored elements are above the cutoff frequency,
since we're throwing away some that are; so we still use the
minimum stored frequency in that case.)
Notably, this works even when none of the values are common enough
to be called MCEs. In such cases we previously stored nothing in
the STATISTIC_KIND_MCELEM pg_statistic slot, which resulted in the
selectivity functions falling back to default estimates. So in that
case we want to construct a STATISTIC_KIND_MCELEM entry that contains
no "values" but does have "numbers", to wit the three extra numbers
that the MCELEM entry type defines. A small obstacle is that
update_attstats() has traditionally stored a null, not an empty array,
when passed zero "values" for a slot. That gives rise to an MCELEM
entry that get_attstatsslot() will spit up on. The least risky
solution seems to be to adjust update_attstats() so that it will emit
a non-null (but possibly empty) array when the passed stavalues array
pointer isn't NULL, rather than conditioning that on numvalues > 0.
In other existing cases I don't believe that that changes anything.
For consistency, handle the stanumbers array the same way.
In passing, improve the comments in routines that use
STATISTIC_KIND_MCELEM data. Particularly, explain why we use
minfreq / 2 not minfreq as the estimate for non-MCE values.
Thanks to Matt Long for the suggestion that we could apply this
idea even when there are more than zero MCEs.
Reported-by: Mark Frost <FROSTMAR@uk.ibm.com>
Reported-by: Matt Long <matt@mattlong.org>
Author: Tom Lane <tgl@sss.pgh.pa.us>
Discussion: https://postgr.es/m/PH3PPF1C905D6E6F24A5C1A1A1D8345B593E16FA@PH3PPF1C905D6E6.namprd15.prod.outlook.com
Branch
------
master
Details
-------
https://git.postgresql.org/pg/commitdiff/261f89a976bf3dbf25e43bab9983fdd28f20b49b
Modified Files
--------------
contrib/intarray/_int_selfuncs.c | 11 +++++++----
src/backend/commands/analyze.c | 7 +++----
src/backend/tsearch/ts_selfuncs.c | 11 +++++++----
src/backend/tsearch/ts_typanalyze.c | 29 +++++++++++++++++++++++------
src/backend/utils/adt/array_selfuncs.c | 23 ++++++++++++++++-------
src/backend/utils/adt/array_typanalyze.c | 27 ++++++++++++++++++++++-----
src/include/catalog/pg_statistic.h | 4 ++++
7 files changed, 82 insertions(+), 30 deletions(-)
