Tweak tsmatchsel() so that it examines the structure of the tsquery whenever

possible (ie, whenever the tsquery is a constant), even when no statistics
are available for the tsvector.  For example, foo @@ 'a & b'::tsquery
can be expected to be more selective than foo @@ 'a'::tsquery, whether
or not we know anything about foo.  We use DEFAULT_TS_MATCH_SEL as the assumed
selectivity of individual query terms when no stats are available, then
combine the terms according to the query's AND/OR structure as usual.

Per experimentation with Artur Dabrowski's example.  (The fact that there
are no stats available in that example is a problem in itself, but
nonetheless tsmatchsel should be smarter about the case.)

Back-patch to 8.4 to keep all versions of tsmatchsel() in sync.

diff --git a/src/backend/tsearch/ts_selfuncs.c b/src/backend/tsearch/ts_selfuncs.c
index a22dba55e5ecef350e7395fdca1056fec9af81a9..68d67c7a4e66cff45c4361ca67f751e4dce959e9 100644 (file)
--- a/src/backend/tsearch/ts_selfuncs.c
+++ b/src/backend/tsearch/ts_selfuncs.c
@@ -7,7 +7,7 @@
  *
  *
  * IDENTIFICATION
- *   $PostgreSQL: pgsql/src/backend/tsearch/ts_selfuncs.c,v 1.7 2010/01/04 02:44:39 tgl Exp $
+ *   $PostgreSQL: pgsql/src/backend/tsearch/ts_selfuncs.c,v 1.8 2010/07/31 03:27:40 tgl Exp $
  *
  *-------------------------------------------------------------------------
  */
@@ -52,6 +52,9 @@ static Selectivity tsquery_opr_selec(QueryItem *item, char *operand,
                  TextFreq *lookup, int length, float4 minfreq);
 static int compare_lexeme_textfreq(const void *e1, const void *e2);
 
+#define tsquery_opr_selec_no_stats(query) \
+   tsquery_opr_selec(GETQUERY(query), GETOPERAND(query), NULL, 0, 0)
+
 
 /*
  * tsmatchsel -- Selectivity of "@@"
@@ -101,21 +104,20 @@ tsmatchsel(PG_FUNCTION_ARGS)
    }
 
    /*
-    * OK, there's a Var and a Const we're dealing with here. We need the Var
-    * to be a TSVector (or else we don't have any useful statistic for it).
-    * We have to check this because the Var might be the TSQuery not the
-    * TSVector.
+    * OK, there's a Var and a Const we're dealing with here.  We need the
+    * Const to be a TSQuery, else we can't do anything useful.  We have to
+    * check this because the Var might be the TSQuery not the TSVector.
     */
-   if (vardata.vartype == TSVECTOROID)
+   if (((Const *) other)->consttype == TSQUERYOID)
    {
        /* tsvector @@ tsquery or the other way around */
-       Assert(((Const *) other)->consttype == TSQUERYOID);
+       Assert(vardata.vartype == TSVECTOROID);
 
        selec = tsquerysel(&vardata, ((Const *) other)->constvalue);
    }
    else
    {
-       /* The Var is something we don't have useful statistics for */
+       /* If we can't see the query structure, must punt */
        selec = DEFAULT_TS_MATCH_SEL;
    }
 
@@ -184,14 +186,14 @@ tsquerysel(VariableStatData *vardata, Datum constval)
        }
        else
        {
-           /* No most-common-elements info, so we must punt */
-           selec = (Selectivity) DEFAULT_TS_MATCH_SEL;
+           /* No most-common-elements info, so do without */
+           selec = tsquery_opr_selec_no_stats(query);
        }
    }
    else
    {
-       /* No stats at all, so we must punt */
-       selec = (Selectivity) DEFAULT_TS_MATCH_SEL;
+       /* No stats at all, so do without */
+       selec = tsquery_opr_selec_no_stats(query);
    }
 
    return selec;
@@ -214,7 +216,7 @@ mcelem_tsquery_selec(TSQuery query, Datum *mcelem, int nmcelem,
     * cells are taken for minimal and maximal frequency.  Punt if not.
     */
    if (nnumbers != nmcelem + 2)
-       return DEFAULT_TS_MATCH_SEL;
+       return tsquery_opr_selec_no_stats(query);
 
    /*
     * Transpose the data into a single array so we can use bsearch().
@@ -258,9 +260,12 @@ mcelem_tsquery_selec(TSQuery query, Datum *mcelem, int nmcelem,
  *  freq[val] in VAL nodes, if the value is in MCELEM
  *  min(freq[MCELEM]) / 2 in VAL nodes, if it is not
  *
- *
  * The MCELEM array is already sorted (see ts_typanalyze.c), so we can use
  * binary search for determining freq[MCELEM].
+ *
+ * If we don't have stats for the tsvector, we still use this logic,
+ * except we always use DEFAULT_TS_MATCH_SEL for VAL nodes.  This case
+ * is signaled by lookup == NULL.
  */
 static Selectivity
 tsquery_opr_selec(QueryItem *item, char *operand,
@@ -279,6 +284,10 @@ tsquery_opr_selec(QueryItem *item, char *operand,
    {
        QueryOperand *oper = (QueryOperand *) item;
 
+       /* If no stats for the variable, use DEFAULT_TS_MATCH_SEL */
+       if (lookup == NULL)
+           return (Selectivity) DEFAULT_TS_MATCH_SEL;
+
        /*
         * Prepare the key for bsearch().
         */
@@ -292,7 +301,7 @@ tsquery_opr_selec(QueryItem *item, char *operand,
        if (searchres)
        {
            /*
-            * The element is in MCELEM. Return precise selectivity (or at
+            * The element is in MCELEM.  Return precise selectivity (or at
             * least as precise as ANALYZE could find out).
             */
            return (Selectivity) searchres->frequency;
@@ -300,7 +309,7 @@ tsquery_opr_selec(QueryItem *item, char *operand,
        else
        {
            /*
-            * The element is not in MCELEM. Punt, but assert that the
+            * The element is not in MCELEM.  Punt, but assume that the
             * selectivity cannot be more than minfreq / 2.
             */
            return (Selectivity) Min(DEFAULT_TS_MATCH_SEL, minfreq / 2);