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authorTom Lane <tgl@sss.pgh.pa.us>2022-11-16 13:58:42 -0500
committerTom Lane <tgl@sss.pgh.pa.us>2022-11-16 13:58:44 -0500
commite9e26b5e7166e6f1873efd58f3d5a4ba22cc3d8f (patch)
treed9def1b9ef306cc75df96a9dea083f7a52d5de14 /src/backend/utils/adt/ruleutils.c
parent90e4f308b42b12bd66262c52fc4845bd0443c6e0 (diff)
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Invent "multibitmapsets", and use them to speed up antijoin detection.
Implement a data structure that is a List of Bitmapsets, which is essentially a 2-D boolean array except that the rows need not all be the same width. Operations such as union and intersection are meaningful for these, just as they are for Bitmapsets. Eventually we might build many of the same operations that we have written for Bitmapsets, but for the first use-case we just need a few. That first use-case is for antijoin detection: reduce_outer_joins needs to find the set of Vars that are certain to be non-null in a successfully joined (not null-extended) left join row, and also find the set of Vars subject to higher-level IS NULL constraints, and intersect them. We had been doing this by making Lists of the Var nodes and then using list_intersect, which works but is pretty inefficient compared to a bitmapset-like intersection. Potentially it's O(N^2) if there are a lot of Vars involved, which fortunately there generally aren't; still it's not great. Moreover, that method requires the Vars of interest to be exactly equal() in the join condition and the upper IS NULL condition, which is problematic for my WIP patch that labels Vars according to which outer joins have possibly nulled them. Discussion: https://postgr.es/m/892228.1668437838@sss.pgh.pa.us Discussion: https://postgr.es/m/CAMbWs4-mvPPCJ1W6iK6dD5HiNwoJdi6mZp=-7mE8N9Sh+cd0tQ@mail.gmail.com
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