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Clarify a confusing comment about MCVs vs histogram entries.
Per Nathan Boley.
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@ -8,7 +8,7 @@
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*
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*
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*
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*
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* IDENTIFICATION
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* IDENTIFICATION
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* $PostgreSQL: pgsql/src/backend/commands/analyze.c,v 1.131 2009/01/01 17:23:37 momjian Exp $
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* $PostgreSQL: pgsql/src/backend/commands/analyze.c,v 1.132 2009/01/06 23:46:06 tgl Exp $
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*
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*
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*-------------------------------------------------------------------------
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*-------------------------------------------------------------------------
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*/
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*/
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@ -2149,7 +2149,9 @@ compute_scalar_stats(VacAttrStatsP stats,
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* least 2 instances in the sample. Also, we won't suppress values
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* least 2 instances in the sample. Also, we won't suppress values
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* that have a frequency of at least 1/K where K is the intended
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* that have a frequency of at least 1/K where K is the intended
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* number of histogram bins; such values might otherwise cause us to
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* number of histogram bins; such values might otherwise cause us to
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* emit duplicate histogram bin boundaries.
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* emit duplicate histogram bin boundaries. (We might end up with
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* duplicate histogram entries anyway, if the distribution is skewed;
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* but we prefer to treat such values as MCVs if at all possible.)
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*/
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*/
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if (track_cnt == ndistinct && toowide_cnt == 0 &&
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if (track_cnt == ndistinct && toowide_cnt == 0 &&
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stats->stadistinct > 0 &&
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stats->stadistinct > 0 &&
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