Guard against roundoff errors in new selectivity-estimation code,
per bug report from Laurette Cisneros.
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@ -15,7 +15,7 @@
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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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* $Header: /cvsroot/pgsql/src/backend/utils/adt/selfuncs.c,v 1.102 2001/11/05 17:46:29 momjian Exp $
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* $Header: /cvsroot/pgsql/src/backend/utils/adt/selfuncs.c,v 1.103 2002/01/03 04:02:34 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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@ -124,6 +124,19 @@
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#define DEFAULT_NOT_UNK_SEL (1.0 - DEFAULT_UNK_SEL)
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#define DEFAULT_NOT_UNK_SEL (1.0 - DEFAULT_UNK_SEL)
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#define DEFAULT_BOOL_SEL 0.5
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#define DEFAULT_BOOL_SEL 0.5
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/*
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* Clamp a computed probability estimate (which may suffer from roundoff or
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* estimation errors) to valid range. Argument must be a float variable.
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*/
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#define CLAMP_PROBABILITY(p) \
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do { \
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if (p < 0.0) \
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p = 0.0; \
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else if (p > 1.0) \
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p = 1.0; \
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} while (0)
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static bool convert_to_scalar(Datum value, Oid valuetypid, double *scaledvalue,
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static bool convert_to_scalar(Datum value, Oid valuetypid, double *scaledvalue,
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Datum lobound, Datum hibound, Oid boundstypid,
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Datum lobound, Datum hibound, Oid boundstypid,
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double *scaledlobound, double *scaledhibound);
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double *scaledlobound, double *scaledhibound);
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@ -285,6 +298,7 @@ eqsel(PG_FUNCTION_ARGS)
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for (i = 0; i < nnumbers; i++)
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for (i = 0; i < nnumbers; i++)
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sumcommon += numbers[i];
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sumcommon += numbers[i];
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selec = 1.0 - sumcommon - stats->stanullfrac;
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selec = 1.0 - sumcommon - stats->stanullfrac;
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CLAMP_PROBABILITY(selec);
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/*
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/*
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* and in fact it's probably a good deal less. We
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* and in fact it's probably a good deal less. We
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@ -356,10 +370,7 @@ eqsel(PG_FUNCTION_ARGS)
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}
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}
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/* result should be in range, but make sure... */
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/* result should be in range, but make sure... */
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if (selec < 0.0)
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CLAMP_PROBABILITY(selec);
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selec = 0.0;
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else if (selec > 1.0)
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selec = 1.0;
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PG_RETURN_FLOAT8((float8) selec);
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PG_RETURN_FLOAT8((float8) selec);
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}
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}
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@ -669,10 +680,7 @@ scalarineqsel(Query *root, Oid operator, bool isgt,
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ReleaseSysCache(statsTuple);
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ReleaseSysCache(statsTuple);
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/* result should be in range, but make sure... */
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/* result should be in range, but make sure... */
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if (selec < 0.0)
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CLAMP_PROBABILITY(selec);
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selec = 0.0;
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else if (selec > 1.0)
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selec = 1.0;
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return selec;
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return selec;
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}
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}
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@ -867,10 +875,7 @@ patternsel(PG_FUNCTION_ARGS, Pattern_Type ptype)
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restsel = pattern_selectivity(rest, ptype);
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restsel = pattern_selectivity(rest, ptype);
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selec = prefixsel * restsel;
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selec = prefixsel * restsel;
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/* result should be in range, but make sure... */
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/* result should be in range, but make sure... */
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if (selec < 0.0)
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CLAMP_PROBABILITY(selec);
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selec = 0.0;
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else if (selec > 1.0)
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selec = 1.0;
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result = selec;
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result = selec;
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}
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}
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@ -1179,10 +1184,7 @@ booltestsel(Query *root, BooleanTest *clause, int varRelid)
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}
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}
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/* result should be in range, but make sure... */
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/* result should be in range, but make sure... */
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if (selec < 0.0)
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CLAMP_PROBABILITY(selec);
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selec = 0.0;
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else if (selec > 1.0)
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selec = 1.0;
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return (Selectivity) selec;
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return (Selectivity) selec;
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}
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}
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@ -1285,10 +1287,7 @@ nulltestsel(Query *root, NullTest *clause, int varRelid)
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}
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}
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/* result should be in range, but make sure... */
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/* result should be in range, but make sure... */
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if (selec < 0.0)
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CLAMP_PROBABILITY(selec);
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selec = 0.0;
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else if (selec > 1.0)
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selec = 1.0;
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return (Selectivity) selec;
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return (Selectivity) selec;
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}
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}
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@ -1448,6 +1447,7 @@ eqjoinsel(PG_FUNCTION_ARGS)
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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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CLAMP_PROBABILITY(matchprodfreq);
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/* Sum up frequencies of matched and unmatched MCVs */
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/* Sum up frequencies of matched and unmatched MCVs */
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matchfreq1 = unmatchfreq1 = 0.0;
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matchfreq1 = unmatchfreq1 = 0.0;
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for (i = 0; i < nvalues1; i++)
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for (i = 0; i < nvalues1; i++)
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@ -1457,6 +1457,8 @@ eqjoinsel(PG_FUNCTION_ARGS)
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else
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else
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unmatchfreq1 += numbers1[i];
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unmatchfreq1 += numbers1[i];
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}
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}
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CLAMP_PROBABILITY(matchfreq1);
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CLAMP_PROBABILITY(unmatchfreq1);
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matchfreq2 = unmatchfreq2 = 0.0;
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matchfreq2 = unmatchfreq2 = 0.0;
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for (i = 0; i < nvalues2; i++)
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for (i = 0; i < nvalues2; i++)
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{
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{
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@ -1465,6 +1467,8 @@ eqjoinsel(PG_FUNCTION_ARGS)
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else
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else
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unmatchfreq2 += numbers2[i];
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unmatchfreq2 += numbers2[i];
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}
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}
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CLAMP_PROBABILITY(matchfreq2);
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CLAMP_PROBABILITY(unmatchfreq2);
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pfree(hasmatch1);
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pfree(hasmatch1);
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pfree(hasmatch2);
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pfree(hasmatch2);
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@ -1474,6 +1478,8 @@ eqjoinsel(PG_FUNCTION_ARGS)
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*/
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*/
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otherfreq1 = 1.0 - stats1->stanullfrac - matchfreq1 - unmatchfreq1;
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otherfreq1 = 1.0 - stats1->stanullfrac - matchfreq1 - unmatchfreq1;
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otherfreq2 = 1.0 - stats2->stanullfrac - matchfreq2 - unmatchfreq2;
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otherfreq2 = 1.0 - stats2->stanullfrac - matchfreq2 - unmatchfreq2;
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CLAMP_PROBABILITY(otherfreq1);
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CLAMP_PROBABILITY(otherfreq2);
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/*
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/*
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* We can estimate the total selectivity from the point of
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* We can estimate the total selectivity from the point of
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@ -1544,6 +1550,9 @@ eqjoinsel(PG_FUNCTION_ARGS)
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if (HeapTupleIsValid(statsTuple2))
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if (HeapTupleIsValid(statsTuple2))
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ReleaseSysCache(statsTuple2);
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ReleaseSysCache(statsTuple2);
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}
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}
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CLAMP_PROBABILITY(selec);
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PG_RETURN_FLOAT8((float8) selec);
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PG_RETURN_FLOAT8((float8) selec);
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}
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}
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@ -2213,6 +2222,9 @@ convert_timevalue_to_scalar(Datum value, Oid typid)
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*
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*
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* var: identifies the attribute to examine.
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* var: identifies the attribute to examine.
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* stats: pg_statistic tuple for attribute, or NULL if not available.
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* stats: pg_statistic tuple for attribute, or NULL if not available.
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*
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* NB: be careful to produce an integral result, since callers may compare
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* the result to exact integer counts.
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*/
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*/
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static double
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static double
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get_att_numdistinct(Query *root, Var *var, Form_pg_statistic stats)
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get_att_numdistinct(Query *root, Var *var, Form_pg_statistic stats)
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@ -2254,7 +2266,7 @@ get_att_numdistinct(Query *root, Var *var, Form_pg_statistic stats)
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if (stats->stadistinct > 0.0)
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if (stats->stadistinct > 0.0)
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return stats->stadistinct;
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return stats->stadistinct;
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if (stats->stadistinct < 0.0)
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if (stats->stadistinct < 0.0)
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return -stats->stadistinct * ntuples;
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return floor((-stats->stadistinct * ntuples) + 0.5);
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}
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}
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/*
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/*
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