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📄 relation.h

📁 PostgreSQL7.4.6 for Linux
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 * join clauses when plans are built. * * '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.) * * '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;	List	   *indexinfo;	List	   *indexqual;	List	   *indexjoinclauses;	ScanDirection indexscandir;	double		rows;			/* estimated number of result tuples */} IndexPath;/* * TidPath represents a scan by TID */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. */typedef struct AppendPath{	Path		path;	List	   *subpaths;		/* list of component Paths */} AppendPath;/* * ResultPath represents use of a Result plan node, either to compute a * variable-free targetlist or to gate execution of a subplan with a * one-time (variable-free) qual condition.  Note that in the former case * path.parent will be NULL; in the latter case it is copied from the subpath. */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 * two different plans: either hash-based or sort-based implementation. * The decision is sufficiently localized that it's not worth having two * separate Path node types. */typedef struct UniquePath{	Path		path;	Path	   *subpath;	bool		use_hash;	double		rows;			/* estimated number of result tuples */} UniquePath;/* * All join-type paths share these fields. */typedef struct JoinPath{	Path		path;	JoinType	jointype;	Path	   *outerjoinpath;	/* path for the outer side of the join */	Path	   *innerjoinpath;	/* path for the inner side of the join */	List	   *joinrestrictinfo;		/* RestrictInfos to apply to join */	/*	 * See the notes for RelOptInfo to understand why joinrestrictinfo is	 * needed in JoinPath, and can't be merged into the parent RelOptInfo.	 */} JoinPath;/* * A nested-loop path needs no special fields. */typedef JoinPath NestPath;/* * A mergejoin path has these fields. * * path_mergeclauses lists the clauses (in the form of RestrictInfos) * that will be used in the merge.	(Before 7.0, this was a list of bare * clause expressions, but we can save on list memory and cost_qual_eval * work by leaving it in the form of a RestrictInfo list.) * * Note that the mergeclauses are a subset of the parent relation's * restriction-clause list.  Any join clauses that are not mergejoinable * appear only in the parent's restrict list, and must be checked by a * qpqual at execution time. * * outersortkeys (resp. innersortkeys) is NIL if the outer path * (resp. inner path) is already ordered appropriately for the * mergejoin.  If it is not NIL then it is a PathKeys list describing * the ordering that must be created by an explicit sort step. */typedef struct MergePath{	JoinPath	jpath;	List	   *path_mergeclauses;		/* join clauses to be used for										 * merge */	List	   *outersortkeys;	/* keys for explicit sort, if any */	List	   *innersortkeys;	/* keys for explicit sort, if any */} MergePath;/* * A hashjoin path has these fields. * * The remarks above for mergeclauses apply for hashclauses as well. * * Hashjoin does not care what order its inputs appear in, so we have * no need for sortkeys. */typedef struct HashPath{	JoinPath	jpath;	List	   *path_hashclauses;		/* join clauses used for hashing */} HashPath;/* * Restriction clause info. * * We create one of these for each AND sub-clause of a restriction condition * (WHERE or JOIN/ON clause).  Since the restriction clauses are logically * ANDed, we can use any one of them or any subset of them to filter out * tuples, without having to evaluate the rest.  The RestrictInfo node itself * stores data used by the optimizer while choosing the best query plan. * * If a restriction clause references a single base relation, it will appear * in the baserestrictinfo list of the RelOptInfo for that base rel. * * If a restriction clause references more than one base rel, it will * appear in the JoinInfo lists of every RelOptInfo that describes a strict * subset of the base rels mentioned in the clause.  The JoinInfo lists are * used to drive join tree building by selecting plausible join candidates. * The clause cannot actually be applied until we have built a join rel * containing all the base rels it references, however. * * When we construct a join rel that includes all the base rels referenced * in a multi-relation restriction clause, we place that clause into the * joinrestrictinfo lists of paths for the join rel, if neither left nor * right sub-path includes all base rels referenced in the clause.	The clause * will be applied at that join level, and will not propagate any further up * the join tree.  (Note: the "predicate migration" code was once intended to * push restriction clauses up and down the plan tree based on evaluation * costs, but it's dead code and is unlikely to be resurrected in the * foreseeable future.) * * Note that in the presence of more than two rels, a multi-rel restriction * might reach different heights in the join tree depending on the join * sequence we use.  So, these clauses cannot be associated directly with * the join RelOptInfo, but must be kept track of on a per-join-path basis. * * When dealing with outer joins we have to be very careful about pushing qual * clauses up and down the tree.  An outer join's own JOIN/ON conditions must * be evaluated exactly at that join node, and any quals appearing in WHERE or * in a JOIN above the outer join cannot be pushed down below the outer join. * Otherwise the outer join will produce wrong results because it will see the * wrong sets of input rows.  All quals are stored as RestrictInfo nodes * during planning, but there's a flag to indicate whether a qual has been * pushed down to a lower level than its original syntactic placement in the * join tree would suggest.  If an outer join prevents us from pushing a qual * down to its "natural" semantic level (the level associated with just the * base rels used in the qual) then the qual will appear in JoinInfo lists * that reference more than just the base rels it actually uses.  By * pretending that the qual references all the rels appearing in the outer * join, we prevent it from being evaluated below the outer join's joinrel. * When we do form the outer join's joinrel, we still need to distinguish * those quals that are actually in that join's JOIN/ON condition from those * that appeared higher in the tree and were pushed down to the join rel * because they used no other rels.  That's what the ispusheddown flag is for; * it tells us that a qual came from a point above the join of the specific * set of base rels that it uses (or that the JoinInfo structures claim it * uses).  A clause that originally came from WHERE will *always* have its * ispusheddown flag set; a clause that came from an INNER JOIN condition, * but doesn't use all the rels being joined, will also have ispusheddown set * because it will get attached to some lower joinrel. * * In general, the referenced clause might be arbitrarily complex.	The * kinds of clauses we can handle as indexscan quals, mergejoin clauses, * or hashjoin clauses are fairly limited --- the code for each kind of * path is responsible for identifying the restrict clauses it can use * and ignoring the rest.  Clauses not implemented by an indexscan, * mergejoin, or hashjoin will be placed in the plan qual or joinqual field * of the finished Plan node, where they will be enforced by general-purpose * qual-expression-evaluation code.  (But we are still entitled to count * their selectivity when estimating the result tuple count, if we * can guess what it is...) */typedef struct RestrictInfo{	NodeTag		type;	Expr	   *clause;			/* the represented clause of WHERE or JOIN */	bool		ispusheddown;	/* TRUE if clause was pushed down in level */	/* only used if clause is an OR clause: */	List	   *subclauseindices;		/* indexes matching subclauses */	/* subclauseindices is a List of Lists of IndexOptInfos */	/* cache space for costs (currently only used for join clauses) */	QualCost	eval_cost;		/* eval cost of clause; -1 if not yet set */	Selectivity this_selec;		/* selectivity; -1 if not yet set */	/*	 * If the clause looks useful for joining --- that is, it is a binary	 * opclause with nonoverlapping sets of relids referenced in the left	 * and right sides --- then these two fields are set to sets of the	 * referenced relids.  Otherwise they are both NULL.	 */	Relids		left_relids;	/* relids in left side of join clause */	Relids		right_relids;	/* relids in right side of join clause */	/* valid if clause is mergejoinable, else InvalidOid: */	Oid			mergejoinoperator;		/* copy of clause operator */	Oid			left_sortop;	/* leftside sortop needed for mergejoin */	Oid			right_sortop;	/* rightside sortop needed for mergejoin */	/* cache space for mergeclause processing; NIL if not yet set */	List	   *left_pathkey;	/* canonical pathkey for left side */	List	   *right_pathkey;	/* canonical pathkey for right side */	/* cache space for mergeclause processing; -1 if not yet set */	Selectivity left_mergescansel;		/* fraction of left side to scan */	Selectivity right_mergescansel;		/* fraction of right side to scan */	/* valid if clause is hashjoinable, else InvalidOid: */	Oid			hashjoinoperator;		/* copy of clause operator */	/* cache space for hashclause processing; -1 if not yet set */	Selectivity left_bucketsize;	/* avg bucketsize of left side */	Selectivity right_bucketsize;		/* avg bucketsize of right side */} RestrictInfo;/* * Join clause info. * * We make a list of these for each RelOptInfo, containing info about * all the join clauses this RelOptInfo participates in.  (For this * purpose, a "join clause" is a WHERE clause that mentions both vars * belonging to this relation and vars belonging to relations not yet * joined to it.)  We group these clauses according to the set of * other base relations (unjoined relations) mentioned in them. * There is one JoinInfo for each distinct set of unjoined_relids, * and its jinfo_restrictinfo lists the clause(s) that use that set * of other relations. */typedef struct JoinInfo{	NodeTag		type;	Relids		unjoined_relids;	/* some rels not yet part of my RelOptInfo */	List	   *jinfo_restrictinfo;		/* relevant RestrictInfos */} JoinInfo;/* * Inner indexscan info. * * An inner indexscan is one that uses one or more joinclauses as index * conditions (perhaps in addition to plain restriction clauses).  So it * can only be used as the inner path of a nestloop join where the outer * relation includes all other relids appearing in those joinclauses. * The set of usable joinclauses, and thus the best inner indexscan, * thus varies depending on which outer relation we consider; so we have * to recompute the best such path for every join.	To avoid lots of * redundant computation, we cache the results of such searches.  For * each index we compute the set of possible otherrelids (all relids * appearing in joinquals that could become indexquals for this index). * Two outer relations whose relids have the same intersection with this * set will have the same set of available joinclauses and thus the same * best inner indexscan for that index.  Similarly, for each base relation, * we form the union of the per-index otherrelids sets.  Two outer relations * with the same intersection with that set will have the same best overall * inner indexscan for the base relation.  We use lists of InnerIndexscanInfo * nodes to cache the results of these searches at both the index and * relation level. * * The search key also includes a bool showing whether the join being * considered is an outer join.  Since we constrain the join order for * outer joins, I believe that this bool can only have one possible value * for any particular base relation; but store it anyway to avoid confusion. */typedef struct InnerIndexscanInfo{	NodeTag		type;	/* The lookup key: */	Relids		other_relids;	/* a set of relevant other relids */	bool		isouterjoin;	/* true if join is outer */	/* Best path for this lookup key: */	Path	   *best_innerpath; /* best inner indexscan, or NULL if none */} InnerIndexscanInfo;/* * IN clause info. * * When we convert top-level IN quals into join operations, we must restrict * the order of joining and use special join methods at some join points. * We record information about each such IN clause in an InClauseInfo struct. * These structs are kept in the Query node's in_info_list. */typedef struct InClauseInfo{	NodeTag		type;	Relids		lefthand;		/* base relids in lefthand expressions */	Relids		righthand;		/* base relids coming from the subselect */	List	   *sub_targetlist; /* targetlist of original RHS subquery */	/*	 * Note: sub_targetlist is just a list of Vars or expressions; it does	 * not contain TargetEntry nodes.	 */} InClauseInfo;#endif   /* RELATION_H */

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