selfuncs.h

来自「PostgreSQL 8.2中增加了很多企业用户所需要的功能和性能上的提高,其开」· C头文件 代码 · 共 178 行

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/*------------------------------------------------------------------------- * * selfuncs.h *	  Selectivity functions and index cost estimation functions for *	  standard operators and index access methods. * * * Portions Copyright (c) 1996-2006, PostgreSQL Global Development Group * Portions Copyright (c) 1994, Regents of the University of California * * $PostgreSQL: pgsql/src/include/utils/selfuncs.h,v 1.36.2.2 2007/11/07 22:37:33 tgl Exp $ * *------------------------------------------------------------------------- */#ifndef SELFUNCS_H#define SELFUNCS_H#include "fmgr.h"#include "access/htup.h"#include "nodes/relation.h"/* * Note: the default selectivity estimates are not chosen entirely at random. * We want them to be small enough to ensure that indexscans will be used if * available, for typical table densities of ~100 tuples/page.	Thus, for * example, 0.01 is not quite small enough, since that makes it appear that * nearly all pages will be hit anyway.  Also, since we sometimes estimate * eqsel as 1/num_distinct, we probably want DEFAULT_NUM_DISTINCT to equal * 1/DEFAULT_EQ_SEL. *//* default selectivity estimate for equalities such as "A = b" */#define DEFAULT_EQ_SEL	0.005/* default selectivity estimate for inequalities such as "A < b" */#define DEFAULT_INEQ_SEL  0.3333333333333333/* default selectivity estimate for range inequalities "A > b AND A < c" */#define DEFAULT_RANGE_INEQ_SEL	0.005/* default selectivity estimate for pattern-match operators such as LIKE */#define DEFAULT_MATCH_SEL	0.005/* default number of distinct values in a table */#define DEFAULT_NUM_DISTINCT  200/* default selectivity estimate for boolean and null test nodes */#define DEFAULT_UNK_SEL			0.005#define DEFAULT_NOT_UNK_SEL		(1.0 - DEFAULT_UNK_SEL)/* * Clamp a computed probability estimate (which may suffer from roundoff or * estimation errors) to valid range.  Argument must be a float variable. */#define CLAMP_PROBABILITY(p) \	do { \		if (p < 0.0) \			p = 0.0; \		else if (p > 1.0) \			p = 1.0; \	} while (0)/* Return data from examine_variable and friends */typedef struct{	Node	   *var;			/* the Var or expression tree */	RelOptInfo *rel;			/* Relation, or NULL if not identifiable */	HeapTuple	statsTuple;		/* pg_statistic tuple, or NULL if none */	/* NB: if statsTuple!=NULL, it must be freed when caller is done */	Oid			vartype;		/* exposed type of expression */	Oid			atttype;		/* type to pass to get_attstatsslot */	int32		atttypmod;		/* typmod to pass to get_attstatsslot */	bool		isunique;		/* true if matched to a unique index */} VariableStatData;#define ReleaseVariableStats(vardata)  \	do { \		if (HeapTupleIsValid((vardata).statsTuple)) \			ReleaseSysCache((vardata).statsTuple); \	} while(0)typedef enum{	Pattern_Type_Like, Pattern_Type_Like_IC,	Pattern_Type_Regex, Pattern_Type_Regex_IC} Pattern_Type;typedef enum{	Pattern_Prefix_None, Pattern_Prefix_Partial, Pattern_Prefix_Exact} Pattern_Prefix_Status;/* selfuncs.c */extern void examine_variable(PlannerInfo *root, Node *node, int varRelid,				 VariableStatData *vardata);extern bool get_restriction_variable(PlannerInfo *root, List *args,						 int varRelid,						 VariableStatData *vardata, Node **other,						 bool *varonleft);extern void get_join_variables(PlannerInfo *root, List *args,				   VariableStatData *vardata1,				   VariableStatData *vardata2);extern double get_variable_numdistinct(VariableStatData *vardata);extern double mcv_selectivity(VariableStatData *vardata, FmgrInfo *opproc,				Datum constval, bool varonleft,				double *sumcommonp);extern double histogram_selectivity(VariableStatData *vardata, FmgrInfo *opproc,					  Datum constval, bool varonleft,					  int min_hist_size, int n_skip);extern Pattern_Prefix_Status pattern_fixed_prefix(Const *patt,					 Pattern_Type ptype,					 Const **prefix,					 Const **rest);extern Const *make_greater_string(const Const *str_const, FmgrInfo *ltproc);extern Datum eqsel(PG_FUNCTION_ARGS);extern Datum neqsel(PG_FUNCTION_ARGS);extern Datum scalarltsel(PG_FUNCTION_ARGS);extern Datum scalargtsel(PG_FUNCTION_ARGS);extern Datum regexeqsel(PG_FUNCTION_ARGS);extern Datum icregexeqsel(PG_FUNCTION_ARGS);extern Datum likesel(PG_FUNCTION_ARGS);extern Datum iclikesel(PG_FUNCTION_ARGS);extern Datum regexnesel(PG_FUNCTION_ARGS);extern Datum icregexnesel(PG_FUNCTION_ARGS);extern Datum nlikesel(PG_FUNCTION_ARGS);extern Datum icnlikesel(PG_FUNCTION_ARGS);extern Datum eqjoinsel(PG_FUNCTION_ARGS);extern Datum neqjoinsel(PG_FUNCTION_ARGS);extern Datum scalarltjoinsel(PG_FUNCTION_ARGS);extern Datum scalargtjoinsel(PG_FUNCTION_ARGS);extern Datum regexeqjoinsel(PG_FUNCTION_ARGS);extern Datum icregexeqjoinsel(PG_FUNCTION_ARGS);extern Datum likejoinsel(PG_FUNCTION_ARGS);extern Datum iclikejoinsel(PG_FUNCTION_ARGS);extern Datum regexnejoinsel(PG_FUNCTION_ARGS);extern Datum icregexnejoinsel(PG_FUNCTION_ARGS);extern Datum nlikejoinsel(PG_FUNCTION_ARGS);extern Datum icnlikejoinsel(PG_FUNCTION_ARGS);extern Selectivity booltestsel(PlannerInfo *root, BoolTestType booltesttype,			Node *arg, int varRelid, JoinType jointype);extern Selectivity nulltestsel(PlannerInfo *root, NullTestType nulltesttype,			Node *arg, int varRelid, JoinType jointype);extern Selectivity scalararraysel(PlannerInfo *root,			   ScalarArrayOpExpr *clause,			   bool is_join_clause,			   int varRelid, JoinType jointype);extern int	estimate_array_length(Node *arrayexpr);extern Selectivity rowcomparesel(PlannerInfo *root,			  RowCompareExpr *clause,			  int varRelid, JoinType jointype);extern void mergejoinscansel(PlannerInfo *root, Node *clause,				 Selectivity *leftscan,				 Selectivity *rightscan);extern double estimate_num_groups(PlannerInfo *root, List *groupExprs,					double input_rows);extern Selectivity estimate_hash_bucketsize(PlannerInfo *root, Node *hashkey,						 double nbuckets);extern Datum btcostestimate(PG_FUNCTION_ARGS);extern Datum hashcostestimate(PG_FUNCTION_ARGS);extern Datum gistcostestimate(PG_FUNCTION_ARGS);extern Datum gincostestimate(PG_FUNCTION_ARGS);#endif   /* SELFUNCS_H */

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