plannodes.h

PostgreSQL7.4.6 for Linux

/*-------------------------------------------------------------------------
 *
 * plannodes.h
 *	  definitions for query plan nodes
 *
 *
 * Portions Copyright (c) 1996-2003, PostgreSQL Global Development Group
 * Portions Copyright (c) 1994, Regents of the University of California
 *
 * $Id: plannodes.h,v 1.68 2003/08/08 21:42:48 momjian Exp $
 *
 *-------------------------------------------------------------------------
 */
#ifndef PLANNODES_H
#define PLANNODES_H

#include "access/sdir.h"
#include "nodes/bitmapset.h"
#include "nodes/primnodes.h"


/* ----------------------------------------------------------------
 *						node definitions
 * ----------------------------------------------------------------
 */

/* ----------------
 *		Plan node
 *
 * All plan nodes "derive" from the Plan structure by having the
 * Plan structure as the first field.  This ensures that everything works
 * when nodes are cast to Plan's.  (node pointers are frequently cast to Plan*
 * when passed around generically in the executor)
 *
 * We never actually instantiate any Plan nodes; this is just the common
 * abstract superclass for all Plan-type nodes.
 * ----------------
 */
typedef struct Plan
{
	NodeTag		type;

	/*
	 * estimated execution costs for plan (see costsize.c for more info)
	 */
	Cost		startup_cost;	/* cost expended before fetching any
								 * tuples */
	Cost		total_cost;		/* total cost (assuming all tuples
								 * fetched) */

	/*
	 * planner's estimate of result size of this plan step
	 */
	double		plan_rows;		/* number of rows plan is expected to emit */
	int			plan_width;		/* average row width in bytes */

	/*
	 * Common structural data for all Plan types.
	 */
	List	   *targetlist;		/* target list to be computed at this node */
	List	   *qual;			/* implicitly-ANDed qual conditions */
	struct Plan *lefttree;		/* input plan tree(s) */
	struct Plan *righttree;
	List	   *initPlan;		/* Init Plan nodes (un-correlated expr
								 * subselects) */

	/*
	 * Information for management of parameter-change-driven rescanning
	 *
	 * extParam includes the paramIDs of all external PARAM_EXEC params
	 * affecting this plan node or its children.  setParam params from the
	 * node's initPlans are not included, but their extParams are.
	 *
	 * allParam includes all the extParam paramIDs, plus the IDs of local
	 * params that affect the node (i.e., the setParams of its initplans).
	 * These are _all_ the PARAM_EXEC params that affect this node.
	 */
	Bitmapset  *extParam;
	Bitmapset  *allParam;

	/*
	 * We really need in some TopPlan node to store range table and
	 * resultRelation from Query there and get rid of Query itself from
	 * Executor. Some other stuff like below could be put there, too.
	 */
	int			nParamExec;		/* Number of them in entire query. This is
								 * to get Executor know about how many
								 * param_exec there are in query plan. */
} Plan;

/* ----------------
 *	these are are defined to avoid confusion problems with "left"
 *	and "right" and "inner" and "outer".  The convention is that
 *	the "left" plan is the "outer" plan and the "right" plan is
 *	the inner plan, but these make the code more readable.
 * ----------------
 */
#define innerPlan(node)			(((Plan *)(node))->righttree)
#define outerPlan(node)			(((Plan *)(node))->lefttree)


/* ----------------
 *	 Result node -
 *		If no outer plan, evaluate a variable-free targetlist.
 *		If outer plan, return tuples from outer plan (after a level of
 *		projection as shown by targetlist).
 *
 * If resconstantqual isn't NULL, it represents a one-time qualification
 * test (i.e., one that doesn't depend on any variables from the outer plan,
 * so needs to be evaluated only once).
 * ----------------
 */
typedef struct Result
{
	Plan		plan;
	Node	   *resconstantqual;
} Result;

/* ----------------
 *	 Append node -
 *		Generate the concatenation of the results of sub-plans.
 *
 * Append nodes are sometimes used to switch between several result relations
 * (when the target of an UPDATE or DELETE is an inheritance set).	Such a
 * node will have isTarget true.  The Append executor is then responsible
 * for updating the executor state to point at the correct target relation
 * whenever it switches subplans.
 * ----------------
 */
typedef struct Append
{
	Plan		plan;
	List	   *appendplans;
	bool		isTarget;
} Append;

/*
 * ==========
 * Scan nodes
 * ==========
 */
typedef struct Scan
{
	Plan		plan;
	Index		scanrelid;		/* relid is index into the range table */
} Scan;

/* ----------------
 *		sequential scan node
 * ----------------
 */
typedef Scan SeqScan;

/* ----------------
 *		index scan node
 * ----------------
 */
typedef struct IndexScan
{
	Scan		scan;
	List	   *indxid;
	List	   *indxqual;
	List	   *indxqualorig;
	ScanDirection indxorderdir;
} IndexScan;

/* ----------------
 *				tid scan node
 * ----------------
 */
typedef struct TidScan
{
	Scan		scan;
	List	   *tideval;
} TidScan;

/* ----------------
 *		subquery scan node
 *
 * SubqueryScan is for scanning the output of a sub-query in the range table.
 * We need a special plan node above the sub-query's plan as a place to switch
 * execution contexts.	Although we are not scanning a physical relation,
 * we make this a descendant of Scan anyway for code-sharing purposes.
 *
 * Note: we store the sub-plan in the type-specific subplan field, not in
 * the generic lefttree field as you might expect.	This is because we do
 * not want plan-tree-traversal routines to recurse into the subplan without
 * knowing that they are changing Query contexts.
 * ----------------
 */
typedef struct SubqueryScan
{
	Scan		scan;
	Plan	   *subplan;
} SubqueryScan;

/* ----------------
 *		FunctionScan node
 * ----------------
 */
typedef struct FunctionScan
{
	Scan		scan;
	/* no other fields needed at present */
} FunctionScan;

/*
 * ==========
 * Join nodes
 * ==========
 */

/* ----------------
 *		Join node
 *
 * jointype:	rule for joining tuples from left and right subtrees
 * joinqual:	qual conditions that came from JOIN/ON or JOIN/USING
 *				(plan.qual contains conditions that came from WHERE)
 *
 * When jointype is INNER, joinqual and plan.qual are semantically
 * interchangeable.  For OUTER jointypes, the two are *not* interchangeable;
 * only joinqual is used to determine whether a match has been found for
 * the purpose of deciding whether to generate null-extended tuples.
 * (But plan.qual is still applied before actually returning a tuple.)
 * For an outer join, only joinquals are allowed to be used as the merge
 * or hash condition of a merge or hash join.
 * ----------------
 */
typedef struct Join
{
	Plan		plan;
	JoinType	jointype;
	List	   *joinqual;		/* JOIN quals (in addition to plan.qual) */
} Join;

/* ----------------
 *		nest loop join node
 * ----------------
 */
typedef struct NestLoop
{
	Join		join;
} NestLoop;

/* ----------------
 *		merge join node
 * ----------------
 */
typedef struct MergeJoin
{
	Join		join;
	List	   *mergeclauses;
} MergeJoin;

/* ----------------
 *		hash join (probe) node
 * ----------------
 */
typedef struct HashJoin
{
	Join		join;
	List	   *hashclauses;
} HashJoin;

/* ----------------
 *		materialization node
 * ----------------
 */
typedef struct Material
{
	Plan		plan;
} Material;

/* ----------------
 *		sort node
 * ----------------
 */
typedef struct Sort
{
	Plan		plan;
	int			numCols;		/* number of sort-key columns */
	AttrNumber *sortColIdx;		/* their indexes in the target list */
	Oid		   *sortOperators;	/* OIDs of operators to sort them by */
} Sort;

/* ---------------
 *	 group node -
 *		Used for queries with GROUP BY (but no aggregates) specified.
 *		The input must be presorted according to the grouping columns.
 * ---------------
 */
typedef struct Group
{
	Plan		plan;
	int			numCols;		/* number of grouping columns */
	AttrNumber *grpColIdx;		/* their indexes in the target list */
} Group;

/* ---------------
 *		aggregate node
 *
 * An Agg node implements plain or grouped aggregation.  For grouped
 * aggregation, we can work with presorted input or unsorted input;
 * the latter strategy uses an internal hashtable.
 *
 * Notice the lack of any direct info about the aggregate functions to be
 * computed.  They are found by scanning the node's tlist and quals during
 * executor startup.  (It is possible that there are no aggregate functions;
 * this could happen if they get optimized away by constant-folding, or if
 * we are using the Agg node to implement hash-based grouping.)
 * ---------------
 */
typedef enum AggStrategy
{
	AGG_PLAIN,					/* simple agg across all input rows */
	AGG_SORTED,					/* grouped agg, input must be sorted */
	AGG_HASHED					/* grouped agg, use internal hashtable */
} AggStrategy;

typedef struct Agg
{
	Plan		plan;
	AggStrategy aggstrategy;
	int			numCols;		/* number of grouping columns */
	AttrNumber *grpColIdx;		/* their indexes in the target list */
	long		numGroups;		/* estimated number of groups in input */
} Agg;

/* ----------------
 *		unique node
 * ----------------
 */
typedef struct Unique
{
	Plan		plan;
	int			numCols;		/* number of columns to check for
								 * uniqueness */
	AttrNumber *uniqColIdx;		/* indexes into the target list */
} Unique;

/* ----------------
 *		hash build node
 * ----------------
 */
typedef struct Hash
{
	Plan		plan;
	List	   *hashkeys;
} Hash;

/* ----------------
 *		setop node
 * ----------------
 */
typedef enum SetOpCmd
{
	SETOPCMD_INTERSECT,
	SETOPCMD_INTERSECT_ALL,
	SETOPCMD_EXCEPT,
	SETOPCMD_EXCEPT_ALL
} SetOpCmd;

typedef struct SetOp
{
	Plan		plan;
	SetOpCmd	cmd;			/* what to do */
	int			numCols;		/* number of columns to check for
								 * duplicate-ness */
	AttrNumber *dupColIdx;		/* indexes into the target list */
	AttrNumber	flagColIdx;
} SetOp;

/* ----------------
 *		limit node
 * ----------------
 */
typedef struct Limit
{
	Plan		plan;
	Node	   *limitOffset;	/* OFFSET parameter, or NULL if none */
	Node	   *limitCount;		/* COUNT parameter, or NULL if none */
} Limit;

#endif   /* PLANNODES_H */