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📄 relation.h

📁 PostgreSQL 8.1.4的源码 适用于Linux下的开源数据库系统
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										 * clauses */	List	   *index_inner_paths;		/* InnerIndexscanInfo nodes */	/*	 * Inner indexscans are not in the main pathlist because they are not	 * usable except in specific join contexts.  We use the index_inner_paths	 * list just to avoid recomputing the best inner indexscan repeatedly for	 * similar outer relations.  See comments for InnerIndexscanInfo.	 */} RelOptInfo;/* * IndexOptInfo *		Per-index information for planning/optimization * *		Prior to Postgres 7.0, RelOptInfo was used to describe both relations *		and indexes, but that created confusion without actually doing anything *		useful.  So now we have a separate IndexOptInfo struct for indexes. * *		classlist[], indexkeys[], and ordering[] have ncolumns entries. *		Zeroes in the indexkeys[] array indicate index columns that are *		expressions; there is one element in indexprs for each such column. * *		Note: for historical reasons, the classlist and ordering arrays have *		an extra entry that is always zero.  Some code scans until it sees a *		zero entry, rather than looking at ncolumns. * *		The indexprs and indpred expressions have been run through *		prepqual.c and eval_const_expressions() for ease of matching to *		WHERE clauses.	indpred is in implicit-AND form. */typedef struct IndexOptInfo{	NodeTag		type;	Oid			indexoid;		/* OID of the index relation */	RelOptInfo *rel;			/* back-link to index's table */	/* statistics from pg_class */	BlockNumber pages;			/* number of disk pages in index */	double		tuples;			/* number of index tuples in index */	/* index descriptor information */	int			ncolumns;		/* number of columns in index */	Oid		   *classlist;		/* OIDs of operator classes for columns */	int		   *indexkeys;		/* column numbers of index's keys, or 0 */	Oid		   *ordering;		/* OIDs of sort operators for each column */	Oid			relam;			/* OID of the access method (in pg_am) */	RegProcedure amcostestimate;	/* OID of the access method's cost fcn */	List	   *indexprs;		/* expressions for non-simple index columns */	List	   *indpred;		/* predicate if a partial index, else NIL */	bool		predOK;			/* true if predicate matches query */	bool		unique;			/* true if a unique index */	bool		amoptionalkey;	/* can query omit key for the first column? */} IndexOptInfo;/* * PathKeys * *	The sort ordering of a path is represented by a list of sublists of *	PathKeyItem nodes.	An empty list implies no known ordering.  Otherwise *	the first sublist represents the primary sort key, the second the *	first secondary sort key, etc.	Each sublist contains one or more *	PathKeyItem nodes, each of which can be taken as the attribute that *	appears at that sort position.	(See optimizer/README for more *	information.) */typedef struct PathKeyItem{	NodeTag		type;	Node	   *key;			/* the item that is ordered */	Oid			sortop;			/* the ordering operator ('<' op) */	/*	 * key typically points to a Var node, ie a relation attribute, but it can	 * also point to an arbitrary expression representing the value indexed by	 * an index expression.	 */} PathKeyItem;/* * Type "Path" is used as-is for sequential-scan paths.  For other * path types it is the first component of a larger struct. * * Note: "pathtype" is the NodeTag of the Plan node we could build from this * Path.  It is partially redundant with the Path's NodeTag, but allows us * to use the same Path type for multiple Plan types where there is no need * to distinguish the Plan type during path processing. */typedef struct Path{	NodeTag		type;	NodeTag		pathtype;		/* tag identifying scan/join method */	RelOptInfo *parent;			/* the relation this path can build */	/* estimated execution costs for path (see costsize.c for more info) */	Cost		startup_cost;	/* cost expended before fetching any tuples */	Cost		total_cost;		/* total cost (assuming all tuples fetched) */	List	   *pathkeys;		/* sort ordering of path's output */	/* pathkeys is a List of Lists of PathKeyItem nodes; see above */} Path;/*---------- * IndexPath represents an index scan over a single index. * * 'indexinfo' is the index to be scanned. * * 'indexclauses' is a list of index qualification clauses, with implicit * AND semantics across the list.  Each clause is a RestrictInfo node from * the query's WHERE or JOIN conditions. * * 'indexquals' has the same structure as 'indexclauses', but it contains * the actual indexqual conditions that can be used with the index. * In simple cases this is identical to 'indexclauses', but when special * indexable operators appear in 'indexclauses', they are replaced by the * derived indexscannable conditions in 'indexquals'. * * 'isjoininner' is TRUE if the path is a nestloop inner scan (that is, * some of the index conditions are join rather than restriction clauses). * * 'indexscandir' is one of: *		ForwardScanDirection: forward scan of an ordered index *		BackwardScanDirection: backward scan of an ordered index *		NoMovementScanDirection: scan of an unordered index, or don't care * (The executor doesn't care whether it gets ForwardScanDirection or * NoMovementScanDirection for an indexscan, but the planner wants to * distinguish ordered from unordered indexes for building pathkeys.) * * 'indextotalcost' and 'indexselectivity' are saved in the IndexPath so that * we need not recompute them when considering using the same index in a * bitmap index/heap scan (see BitmapHeapPath).  The costs of the IndexPath * itself represent the costs of an IndexScan plan type. * * 'rows' is the estimated result tuple count for the indexscan.  This * is the same as path.parent->rows for a simple indexscan, but it is * different for a nestloop inner scan, because the additional indexquals * coming from join clauses make the scan more selective than the parent * rel's restrict clauses alone would do. *---------- */typedef struct IndexPath{	Path		path;	IndexOptInfo *indexinfo;	List	   *indexclauses;	List	   *indexquals;	bool		isjoininner;	ScanDirection indexscandir;	Cost		indextotalcost;	Selectivity indexselectivity;	double		rows;			/* estimated number of result tuples */} IndexPath;/* * BitmapHeapPath represents one or more indexscans that generate TID bitmaps * instead of directly accessing the heap, followed by AND/OR combinations * to produce a single bitmap, followed by a heap scan that uses the bitmap. * Note that the output is always considered unordered, since it will come * out in physical heap order no matter what the underlying indexes did. * * The individual indexscans are represented by IndexPath nodes, and any * logic on top of them is represented by a tree of BitmapAndPath and * BitmapOrPath nodes.	Notice that we can use the same IndexPath node both * to represent a regular IndexScan plan, and as the child of a BitmapHeapPath * that represents scanning the same index using a BitmapIndexScan.  The * startup_cost and total_cost figures of an IndexPath always represent the * costs to use it as a regular IndexScan.	The costs of a BitmapIndexScan * can be computed using the IndexPath's indextotalcost and indexselectivity. * * BitmapHeapPaths can be nestloop inner indexscans.  The isjoininner and * rows fields serve the same purpose as for plain IndexPaths. */typedef struct BitmapHeapPath{	Path		path;	Path	   *bitmapqual;		/* IndexPath, BitmapAndPath, BitmapOrPath */	bool		isjoininner;	/* T if it's a nestloop inner scan */	double		rows;			/* estimated number of result tuples */} BitmapHeapPath;/* * BitmapAndPath represents a BitmapAnd plan node; it can only appear as * part of the substructure of a BitmapHeapPath.  The Path structure is * a bit more heavyweight than we really need for this, but for simplicity * we make it a derivative of Path anyway. */typedef struct BitmapAndPath{	Path		path;	List	   *bitmapquals;	/* IndexPaths and BitmapOrPaths */	Selectivity bitmapselectivity;} BitmapAndPath;/* * BitmapOrPath represents a BitmapOr plan node; it can only appear as * part of the substructure of a BitmapHeapPath.  The Path structure is * a bit more heavyweight than we really need for this, but for simplicity * we make it a derivative of Path anyway. */typedef struct BitmapOrPath{	Path		path;	List	   *bitmapquals;	/* IndexPaths and BitmapAndPaths */	Selectivity bitmapselectivity;} BitmapOrPath;/* * TidPath represents a scan by TID * * tideval is an implicitly OR'ed list of quals of the form CTID = something. * Note they are bare quals, not RestrictInfos. */typedef struct TidPath{	Path		path;	List	   *tideval;		/* qual(s) involving CTID = something */} TidPath;/* * AppendPath represents an Append plan, ie, successive execution of * several member plans.  Currently it is only used to handle expansion * of inheritance trees. * * Note: it is possible for "subpaths" to contain only one, or even no, * elements.  These cases are optimized during create_append_plan. */typedef struct AppendPath{	Path		path;	List	   *subpaths;		/* list of component Paths */} AppendPath;/* * ResultPath represents use of a Result plan node.  There are several * applications for this: *	* To compute a variable-free targetlist (a "SELECT expressions" query). *	  In this case subpath and path.parent will both be NULL.  constantqual *	  might or might not be empty ("SELECT expressions WHERE something"). *	* To gate execution of a subplan with a one-time (variable-free) qual *	  condition.  path.parent is copied from the subpath. *	* To substitute for a scan plan when we have proven that no rows in *	  a table will satisfy the query.  subpath is NULL but path.parent *	  references the not-to-be-scanned relation, and constantqual is *	  a constant FALSE. * * Note that constantqual is a list of bare clauses, not RestrictInfos. */typedef struct ResultPath{	Path		path;	Path	   *subpath;	List	   *constantqual;} ResultPath;/* * MaterialPath represents use of a Material plan node, i.e., caching of * the output of its subpath.  This is used when the subpath is expensive * and needs to be scanned repeatedly, or when we need mark/restore ability * and the subpath doesn't have it. */typedef struct MaterialPath{	Path		path;	Path	   *subpath;} MaterialPath;/* * UniquePath represents elimination of distinct rows from the output of * its subpath. * * This is unlike the other Path nodes in that it can actually generate * different plans: either hash-based or sort-based implementation, or a * no-op if the input path can be proven distinct already.	The decision * is sufficiently localized that it's not worth having separate Path node

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