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-rw-r--r--src/include/nodes/execnodes.h45
1 files changed, 28 insertions, 17 deletions
diff --git a/src/include/nodes/execnodes.h b/src/include/nodes/execnodes.h
index 6cc43342997..8e5404b5078 100644
--- a/src/include/nodes/execnodes.h
+++ b/src/include/nodes/execnodes.h
@@ -7,7 +7,7 @@
* Portions Copyright (c) 1996-2005, PostgreSQL Global Development Group
* Portions Copyright (c) 1994, Regents of the University of California
*
- * $PostgreSQL: pgsql/src/include/nodes/execnodes.h,v 1.123 2005/03/06 22:15:05 tgl Exp $
+ * $PostgreSQL: pgsql/src/include/nodes/execnodes.h,v 1.124 2005/03/16 21:38:10 tgl Exp $
*
*-------------------------------------------------------------------------
*/
@@ -175,20 +175,28 @@ typedef struct ReturnSetInfo
* This is all the information needed to perform projections ---
* that is, form new tuples by evaluation of targetlist expressions.
* Nodes which need to do projections create one of these.
- * In theory, when a node wants to perform a projection
- * it should just update this information as necessary and then
- * call ExecProject(). -cim 6/3/91
*
* ExecProject() evaluates the tlist, forms a tuple, and stores it
- * in the given slot. As a side-effect, the actual datum values and
- * null indicators are placed in the work arrays tupValues/tupNulls.
+ * in the given slot. Note that the result will be a "virtual" tuple
+ * unless ExecMaterializeSlot() is then called to force it to be
+ * converted to a physical tuple. The slot must have a tupledesc
+ * that matches the output of the tlist!
+ *
+ * The planner very often produces tlists that consist entirely of
+ * simple Var references (lower levels of a plan tree almost always
+ * look like that). So we have an optimization to handle that case
+ * with minimum overhead.
*
* targetlist target list for projection
* exprContext expression context in which to evaluate targetlist
* slot slot to place projection result in
- * tupValues array of computed values
- * tupNull array of null indicators
* itemIsDone workspace for ExecProject
+ * isVarList TRUE if simple-Var-list optimization applies
+ * varSlotOffsets array indicating which slot each simple Var is from
+ * varNumbers array indicating attr numbers of simple Vars
+ * lastInnerVar highest attnum from inner tuple slot (0 if none)
+ * lastOuterVar highest attnum from outer tuple slot (0 if none)
+ * lastScanVar highest attnum from scan tuple slot (0 if none)
* ----------------
*/
typedef struct ProjectionInfo
@@ -197,9 +205,13 @@ typedef struct ProjectionInfo
List *pi_targetlist;
ExprContext *pi_exprContext;
TupleTableSlot *pi_slot;
- Datum *pi_tupValues;
- char *pi_tupNulls;
ExprDoneCond *pi_itemIsDone;
+ bool pi_isVarList;
+ int *pi_varSlotOffsets;
+ int *pi_varNumbers;
+ int pi_lastInnerVar;
+ int pi_lastOuterVar;
+ int pi_lastScanVar;
} ProjectionInfo;
/* ----------------
@@ -222,7 +234,7 @@ typedef struct ProjectionInfo
* cleanMap: A map with the correspondence between the non-junk
* attribute numbers of the "original" tuple and the
* attribute numbers of the "clean" tuple.
- * resultSlot: tuple slot that can be used to hold cleaned tuple.
+ * resultSlot: tuple slot used to hold cleaned tuple.
* ----------------
*/
typedef struct JunkFilter
@@ -354,7 +366,8 @@ typedef struct TupleHashTableData
MemoryContext tablecxt; /* memory context containing table */
MemoryContext tempcxt; /* context for function evaluations */
Size entrysize; /* actual size to make each hash entry */
- TupleDesc tupdesc; /* tuple descriptor */
+ TupleTableSlot *tableslot; /* slot for referencing table entries */
+ TupleTableSlot *inputslot; /* current input tuple's slot */
} TupleHashTableData;
typedef HASH_SEQ_STATUS TupleHashIterator;
@@ -589,9 +602,9 @@ typedef struct ConvertRowtypeExprState
TupleDesc outdesc; /* tupdesc for result rowtype */
AttrNumber *attrMap; /* indexes of input fields, or 0 for null */
Datum *invalues; /* workspace for deconstructing source */
- char *innulls;
+ bool *inisnull;
Datum *outvalues; /* workspace for constructing result */
- char *outnulls;
+ bool *outisnull;
} ConvertRowtypeExprState;
/* ----------------
@@ -1065,7 +1078,6 @@ typedef struct GroupState
{
ScanState ss; /* its first field is NodeTag */
FmgrInfo *eqfunctions; /* per-field lookup data for equality fns */
- HeapTuple grp_firstTuple; /* copy of first tuple of current group */
bool grp_done; /* indicates completion of Group scan */
} GroupState;
@@ -1111,7 +1123,7 @@ typedef struct AggState
* Unique nodes are used "on top of" sort nodes to discard
* duplicate tuples returned from the sort phase. Basically
* all it does is compare the current tuple from the subplan
- * with the previously fetched tuple stored in priorTuple.
+ * with the previously fetched tuple (stored in its result slot).
* If the two are identical in all interesting fields, then
* we just fetch another tuple from the sort and try again.
* ----------------
@@ -1120,7 +1132,6 @@ typedef struct UniqueState
{
PlanState ps; /* its first field is NodeTag */
FmgrInfo *eqfunctions; /* per-field lookup data for equality fns */
- HeapTuple priorTuple; /* most recently returned tuple, or NULL */
MemoryContext tempContext; /* short-term context for comparisons */
} UniqueState;