JumbleExpr(jstate, (Node *) query->onConflict);
JumbleExpr(jstate, (Node *) query->returningList);
JumbleExpr(jstate, (Node *) query->groupClause);
+ JumbleExpr(jstate, (Node *) query->groupingSets);
JumbleExpr(jstate, query->havingQual);
JumbleExpr(jstate, (Node *) query->windowClause);
JumbleExpr(jstate, (Node *) query->distinctClause);
JumbleExpr(jstate, (Node *) expr->aggfilter);
}
break;
+ case T_GroupingFunc:
+ {
+ GroupingFunc *grpnode = (GroupingFunc *) node;
+
+ JumbleExpr(jstate, (Node *) grpnode->refs);
+ }
+ break;
case T_WindowFunc:
{
WindowFunc *expr = (WindowFunc *) node;
JumbleExpr(jstate, (Node *) lfirst(temp));
}
break;
+ case T_IntList:
+ foreach(temp, (List *) node)
+ {
+ APP_JUMB(lfirst_int(temp));
+ }
+ break;
case T_SortGroupClause:
{
SortGroupClause *sgc = (SortGroupClause *) node;
APP_JUMB(sgc->nulls_first);
}
break;
+ case T_GroupingSet:
+ {
+ GroupingSet *gsnode = (GroupingSet *) node;
+
+ JumbleExpr(jstate, (Node *) gsnode->content);
+ }
+ break;
case T_WindowClause:
{
WindowClause *wc = (WindowClause *) node;
<xref linkend="functions-aggregate-statistics-table">.
The built-in ordered-set aggregate functions
are listed in <xref linkend="functions-orderedset-table"> and
- <xref linkend="functions-hypothetical-table">.
+ <xref linkend="functions-hypothetical-table">. Grouping operations,
+ which are closely related to aggregate functions, are listed in
+ <xref linkend="functions-grouping-table">.
The special syntax considerations for aggregate
functions are explained in <xref linkend="syntax-aggregates">.
Consult <xref linkend="tutorial-agg"> for additional introductory
to the rule specified in the <literal>ORDER BY</> clause.
</para>
+ <table id="functions-grouping-table">
+ <title>Grouping Operations</title>
+
+ <tgroup cols="3">
+ <thead>
+ <row>
+ <entry>Function</entry>
+ <entry>Return Type</entry>
+ <entry>Description</entry>
+ </row>
+ </thead>
+
+ <tbody>
+
+ <row>
+ <entry>
+ <indexterm>
+ <primary>GROUPING</primary>
+ </indexterm>
+ <function>GROUPING(<replaceable class="parameter">args...</replaceable>)</function>
+ </entry>
+ <entry>
+ <type>integer</type>
+ </entry>
+ <entry>
+ Integer bitmask indicating which arguments are not being included in the current
+ grouping set
+ </entry>
+ </row>
+ </tbody>
+ </tgroup>
+ </table>
+
+ <para>
+ Grouping operations are used in conjunction with grouping sets (see
+ <xref linkend="queries-grouping-sets">) to distinguish result rows. The
+ arguments to the <literal>GROUPING</> operation are not actually evaluated,
+ but they must match exactly expressions given in the <literal>GROUP BY</>
+ clause of the associated query level. Bits are assigned with the rightmost
+ argument being the least-significant bit; each bit is 0 if the corresponding
+ expression is included in the grouping criteria of the grouping set generating
+ the result row, and 1 if it is not. For example:
+<screen>
+<prompt>=></> <userinput>SELECT * FROM items_sold;</>
+ make | model | sales
+-------+-------+-------
+ Foo | GT | 10
+ Foo | Tour | 20
+ Bar | City | 15
+ Bar | Sport | 5
+(4 rows)
+
+<prompt>=></> <userinput>SELECT make, model, GROUPING(make,model), sum(sales) FROM items_sold GROUP BY ROLLUP(make,model);</>
+ make | model | grouping | sum
+-------+-------+----------+-----
+ Foo | GT | 0 | 10
+ Foo | Tour | 0 | 20
+ Bar | City | 0 | 15
+ Bar | Sport | 0 | 5
+ Foo | | 1 | 30
+ Bar | | 1 | 20
+ | | 3 | 50
+(7 rows)
+</screen>
+ </para>
+
</sect1>
<sect1 id="functions-window">
</para>
</sect2>
+ <sect2 id="queries-grouping-sets">
+ <title><literal>GROUPING SETS</>, <literal>CUBE</>, and <literal>ROLLUP</></title>
+
+ <indexterm zone="queries-grouping-sets">
+ <primary>GROUPING SETS</primary>
+ </indexterm>
+ <indexterm zone="queries-grouping-sets">
+ <primary>CUBE</primary>
+ </indexterm>
+ <indexterm zone="queries-grouping-sets">
+ <primary>ROLLUP</primary>
+ </indexterm>
+
+ <para>
+ More complex grouping operations than those described above are possible
+ using the concept of <firstterm>grouping sets</>. The data selected by
+ the <literal>FROM</> and <literal>WHERE</> clauses is grouped separately
+ by each specified grouping set, aggregates computed for each group just as
+ for simple <literal>GROUP BY</> clauses, and then the results returned.
+ For example:
+<screen>
+<prompt>=></> <userinput>SELECT * FROM items_sold;</>
+ brand | size | sales
+-------+------+-------
+ Foo | L | 10
+ Foo | M | 20
+ Bar | M | 15
+ Bar | L | 5
+(4 rows)
+
+<prompt>=></> <userinput>SELECT brand, size, sum(sales) FROM items_sold GROUP BY GROUPING SETS ((brand), (size), ());</>
+ brand | size | sum
+-------+------+-----
+ Foo | | 30
+ Bar | | 20
+ | L | 15
+ | M | 35
+ | | 50
+(5 rows)
+</screen>
+ </para>
+
+ <para>
+ Each sublist of <literal>GROUPING SETS</> may specify zero or more columns
+ or expressions and is interpreted the same way as though it were directly
+ in the <literal>GROUP BY</> clause. An empty grouping set means that all
+ rows are aggregated down to a single group (which is output even if no
+ input rows were present), as described above for the case of aggregate
+ functions with no <literal>GROUP BY</> clause.
+ </para>
+
+ <para>
+ References to the grouping columns or expressions are replaced
+ by <literal>NULL</> values in result rows for grouping sets in which those
+ columns do not appear. To distinguish which grouping a particular output
+ row resulted from, see <xref linkend="functions-grouping-table">.
+ </para>
+
+ <para>
+ A shorthand notation is provided for specifying two common types of grouping set.
+ A clause of the form
+<programlisting>
+ROLLUP ( <replaceable>e1</>, <replaceable>e2</>, <replaceable>e3</>, ... )
+</programlisting>
+ represents the given list of expressions and all prefixes of the list including
+ the empty list; thus it is equivalent to
+<programlisting>
+GROUPING SETS (
+ ( <replaceable>e1</>, <replaceable>e2</>, <replaceable>e3</>, ... ),
+ ...
+ ( <replaceable>e1</>, <replaceable>e2</> )
+ ( <replaceable>e1</> )
+ ( )
+)
+</programlisting>
+ This is commonly used for analysis over hierarchical data; e.g. total
+ salary by department, division, and company-wide total.
+ </para>
+
+ <para>
+ A clause of the form
+<programlisting>
+CUBE ( <replaceable>e1</>, <replaceable>e2</>, ... )
+</programlisting>
+ represents the given list and all of its possible subsets (i.e. the power
+ set). Thus
+<programlisting>
+CUBE ( a, b, c )
+</programlisting>
+ is equivalent to
+<programlisting>
+GROUPING SETS (
+ ( a, b, c ),
+ ( a, b ),
+ ( a, c ),
+ ( a ),
+ ( b, c ),
+ ( b ),
+ ( c ),
+ ( ),
+)
+</programlisting>
+ </para>
+
+ <para>
+ The individual elements of a <literal>CUBE</> or <literal>ROLLUP</>
+ clause may be either individual expressions, or sub-lists of elements in
+ parentheses. In the latter case, the sub-lists are treated as single
+ units for the purposes of generating the individual grouping sets.
+ For example:
+<programlisting>
+CUBE ( (a,b), (c,d) )
+</programlisting>
+ is equivalent to
+<programlisting>
+GROUPING SETS (
+ ( a, b, c, d )
+ ( a, b )
+ ( c, d )
+ ( )
+)
+</programlisting>
+ and
+<programlisting>
+ROLLUP ( a, (b,c), d )
+</programlisting>
+ is equivalent to
+<programlisting>
+GROUPING SETS (
+ ( a, b, c, d )
+ ( a, b, c )
+ ( a )
+ ( )
+)
+</programlisting>
+ </para>
+
+ <para>
+ The <literal>CUBE</> and <literal>ROLLUP</> constructs can be used either
+ directly in the <literal>GROUP BY</> clause, or nested inside a
+ <literal>GROUPING SETS</> clause. If one <literal>GROUPING SETS</> clause
+ is nested inside another, the effect is the same as if all the elements of
+ the inner clause had been written directly in the outer clause.
+ </para>
+
+ <para>
+ If multiple grouping items are specified in a single <literal>GROUP BY</>
+ clause, then the final list of grouping sets is the cross product of the
+ individual items. For example:
+<programlisting>
+GROUP BY a, CUBE(b,c), GROUPING SETS ((d), (e))
+</programlisting>
+ is equivalent to
+<programlisting>
+GROUP BY GROUPING SETS (
+ (a,b,c,d), (a,b,c,e),
+ (a,b,d), (a,b,e),
+ (a,c,d), (a,c,e),
+ (a,d), (a,e)
+)
+</programlisting>
+ </para>
+
+ <note>
+ <para>
+ The construct <literal>(a,b)</> is normally recognized in expressions as
+ a <link linkend="sql-syntax-row-constructors">row constructor</link>.
+ Within the <literal>GROUP BY</> clause, this does not apply at the top
+ levels of expressions, and <literal>(a,b)</> is parsed as a list of
+ expressions as described above. If for some reason you <emphasis>need</>
+ a row constructor in a grouping expression, use <literal>ROW(a,b)</>.
+ </para>
+ </note>
+ </sect2>
+
<sect2 id="queries-window">
<title>Window Function Processing</title>
[ * | <replaceable class="parameter">expression</replaceable> [ [ AS ] <replaceable class="parameter">output_name</replaceable> ] [, ...] ]
[ FROM <replaceable class="parameter">from_item</replaceable> [, ...] ]
[ WHERE <replaceable class="parameter">condition</replaceable> ]
- [ GROUP BY <replaceable class="parameter">expression</replaceable> [, ...] ]
+ [ GROUP BY <replaceable class="parameter">grouping_element</replaceable> [, ...] ]
[ HAVING <replaceable class="parameter">condition</replaceable> [, ...] ]
[ WINDOW <replaceable class="parameter">window_name</replaceable> AS ( <replaceable class="parameter">window_definition</replaceable> ) [, ...] ]
[ { UNION | INTERSECT | EXCEPT } [ ALL | DISTINCT ] <replaceable class="parameter">select</replaceable> ]
[ WITH ORDINALITY ] [ [ AS ] <replaceable class="parameter">alias</replaceable> [ ( <replaceable class="parameter">column_alias</replaceable> [, ...] ) ] ]
<replaceable class="parameter">from_item</replaceable> [ NATURAL ] <replaceable class="parameter">join_type</replaceable> <replaceable class="parameter">from_item</replaceable> [ ON <replaceable class="parameter">join_condition</replaceable> | USING ( <replaceable class="parameter">join_column</replaceable> [, ...] ) ]
+<phrase>and <replaceable class="parameter">grouping_element</replaceable> can be one of:</phrase>
+
+ ( )
+ <replaceable class="parameter">expression</replaceable>
+ ( <replaceable class="parameter">expression</replaceable> [, ...] )
+ ROLLUP ( { <replaceable class="parameter">expression</replaceable> | ( <replaceable class="parameter">expression</replaceable> [, ...] ) } [, ...] )
+ CUBE ( { <replaceable class="parameter">expression</replaceable> | ( <replaceable class="parameter">expression</replaceable> [, ...] ) } [, ...] )
+ GROUPING SETS ( <replaceable class="parameter">grouping_element</replaceable> [, ...] )
+
<phrase>and <replaceable class="parameter">with_query</replaceable> is:</phrase>
<replaceable class="parameter">with_query_name</replaceable> [ ( <replaceable class="parameter">column_name</replaceable> [, ...] ) ] AS ( <replaceable class="parameter">select</replaceable> | <replaceable class="parameter">values</replaceable> | <replaceable class="parameter">insert</replaceable> | <replaceable class="parameter">update</replaceable> | <replaceable class="parameter">delete</replaceable> )
<para>
The optional <literal>GROUP BY</literal> clause has the general form
<synopsis>
-GROUP BY <replaceable class="parameter">expression</replaceable> [, ...]
+GROUP BY <replaceable class="parameter">grouping_element</replaceable> [, ...]
</synopsis>
</para>
<para>
<literal>GROUP BY</literal> will condense into a single row all
selected rows that share the same values for the grouped
- expressions. <replaceable
- class="parameter">expression</replaceable> can be an input column
- name, or the name or ordinal number of an output column
- (<command>SELECT</command> list item), or an arbitrary
+ expressions. An <replaceable
+ class="parameter">expression</replaceable> used inside a
+ <replaceable class="parameter">grouping_element</replaceable>
+ can be an input column name, or the name or ordinal number of an
+ output column (<command>SELECT</command> list item), or an arbitrary
expression formed from input-column values. In case of ambiguity,
a <literal>GROUP BY</literal> name will be interpreted as an
input-column name rather than an output column name.
</para>
+ <para>
+ If any of <literal>GROUPING SETS</>, <literal>ROLLUP</> or
+ <literal>CUBE</> are present as grouping elements, then the
+ <literal>GROUP BY</> clause as a whole defines some number of
+ independent <replaceable>grouping sets</>. The effect of this is
+ equivalent to constructing a <literal>UNION ALL</> between
+ subqueries with the individual grouping sets as their
+ <literal>GROUP BY</> clauses. For further details on the handling
+ of grouping sets see <xref linkend="queries-grouping-sets">.
+ </para>
+
<para>
Aggregate functions, if any are used, are computed across all rows
making up each group, producing a separate value for each group.
T332 Extended roles NO mostly supported
T341 Overloading of SQL-invoked functions and procedures YES
T351 Bracketed SQL comments (/*...*/ comments) YES
-T431 Extended grouping capabilities NO
-T432 Nested and concatenated GROUPING SETS NO
-T433 Multiargument GROUPING function NO
+T431 Extended grouping capabilities YES
+T432 Nested and concatenated GROUPING SETS YES
+T433 Multiargument GROUPING function YES
T434 GROUP BY DISTINCT NO
T441 ABS and MOD functions YES
T461 Symmetric BETWEEN predicate YES
ExplainState *es);
static void show_agg_keys(AggState *astate, List *ancestors,
ExplainState *es);
+static void show_grouping_sets(PlanState *planstate, Agg *agg,
+ List *ancestors, ExplainState *es);
+static void show_grouping_set_keys(PlanState *planstate,
+ Agg *aggnode, Sort *sortnode,
+ List *context, bool useprefix,
+ List *ancestors, ExplainState *es);
static void show_group_keys(GroupState *gstate, List *ancestors,
ExplainState *es);
static void show_sort_group_keys(PlanState *planstate, const char *qlabel,
{
Agg *plan = (Agg *) astate->ss.ps.plan;
- if (plan->numCols > 0)
+ if (plan->numCols > 0 || plan->groupingSets)
{
/* The key columns refer to the tlist of the child plan */
ancestors = lcons(astate, ancestors);
- show_sort_group_keys(outerPlanState(astate), "Group Key",
- plan->numCols, plan->grpColIdx,
- NULL, NULL, NULL,
- ancestors, es);
+
+ if (plan->groupingSets)
+ show_grouping_sets(outerPlanState(astate), plan, ancestors, es);
+ else
+ show_sort_group_keys(outerPlanState(astate), "Group Key",
+ plan->numCols, plan->grpColIdx,
+ NULL, NULL, NULL,
+ ancestors, es);
+
ancestors = list_delete_first(ancestors);
}
}
+static void
+show_grouping_sets(PlanState *planstate, Agg *agg,
+ List *ancestors, ExplainState *es)
+{
+ List *context;
+ bool useprefix;
+ ListCell *lc;
+
+ /* Set up deparsing context */
+ context = set_deparse_context_planstate(es->deparse_cxt,
+ (Node *) planstate,
+ ancestors);
+ useprefix = (list_length(es->rtable) > 1 || es->verbose);
+
+ ExplainOpenGroup("Grouping Sets", "Grouping Sets", false, es);
+
+ show_grouping_set_keys(planstate, agg, NULL,
+ context, useprefix, ancestors, es);
+
+ foreach(lc, agg->chain)
+ {
+ Agg *aggnode = lfirst(lc);
+ Sort *sortnode = (Sort *) aggnode->plan.lefttree;
+
+ show_grouping_set_keys(planstate, aggnode, sortnode,
+ context, useprefix, ancestors, es);
+ }
+
+ ExplainCloseGroup("Grouping Sets", "Grouping Sets", false, es);
+}
+
+static void
+show_grouping_set_keys(PlanState *planstate,
+ Agg *aggnode, Sort *sortnode,
+ List *context, bool useprefix,
+ List *ancestors, ExplainState *es)
+{
+ Plan *plan = planstate->plan;
+ char *exprstr;
+ ListCell *lc;
+ List *gsets = aggnode->groupingSets;
+ AttrNumber *keycols = aggnode->grpColIdx;
+
+ ExplainOpenGroup("Grouping Set", NULL, true, es);
+
+ if (sortnode)
+ {
+ show_sort_group_keys(planstate, "Sort Key",
+ sortnode->numCols, sortnode->sortColIdx,
+ sortnode->sortOperators, sortnode->collations,
+ sortnode->nullsFirst,
+ ancestors, es);
+ if (es->format == EXPLAIN_FORMAT_TEXT)
+ es->indent++;
+ }
+
+ ExplainOpenGroup("Group Keys", "Group Keys", false, es);
+
+ foreach(lc, gsets)
+ {
+ List *result = NIL;
+ ListCell *lc2;
+
+ foreach(lc2, (List *) lfirst(lc))
+ {
+ Index i = lfirst_int(lc2);
+ AttrNumber keyresno = keycols[i];
+ TargetEntry *target = get_tle_by_resno(plan->targetlist,
+ keyresno);
+
+ if (!target)
+ elog(ERROR, "no tlist entry for key %d", keyresno);
+ /* Deparse the expression, showing any top-level cast */
+ exprstr = deparse_expression((Node *) target->expr, context,
+ useprefix, true);
+
+ result = lappend(result, exprstr);
+ }
+
+ if (!result && es->format == EXPLAIN_FORMAT_TEXT)
+ ExplainPropertyText("Group Key", "()", es);
+ else
+ ExplainPropertyListNested("Group Key", result, es);
+ }
+
+ ExplainCloseGroup("Group Keys", "Group Keys", false, es);
+
+ if (sortnode && es->format == EXPLAIN_FORMAT_TEXT)
+ es->indent--;
+
+ ExplainCloseGroup("Grouping Set", NULL, true, es);
+}
+
/*
* Show the grouping keys for a Group node.
*/
}
}
+/*
+ * Explain a property that takes the form of a list of unlabeled items within
+ * another list. "data" is a list of C strings.
+ */
+void
+ExplainPropertyListNested(const char *qlabel, List *data, ExplainState *es)
+{
+ ListCell *lc;
+ bool first = true;
+
+ switch (es->format)
+ {
+ case EXPLAIN_FORMAT_TEXT:
+ case EXPLAIN_FORMAT_XML:
+ ExplainPropertyList(qlabel, data, es);
+ return;
+
+ case EXPLAIN_FORMAT_JSON:
+ ExplainJSONLineEnding(es);
+ appendStringInfoSpaces(es->str, es->indent * 2);
+ appendStringInfoChar(es->str, '[');
+ foreach(lc, data)
+ {
+ if (!first)
+ appendStringInfoString(es->str, ", ");
+ escape_json(es->str, (const char *) lfirst(lc));
+ first = false;
+ }
+ appendStringInfoChar(es->str, ']');
+ break;
+
+ case EXPLAIN_FORMAT_YAML:
+ ExplainYAMLLineStarting(es);
+ appendStringInfoString(es->str, "- [");
+ foreach(lc, data)
+ {
+ if (!first)
+ appendStringInfoString(es->str, ", ");
+ escape_yaml(es->str, (const char *) lfirst(lc));
+ first = false;
+ }
+ appendStringInfoChar(es->str, ']');
+ break;
+ }
+}
+
/*
* Explain a simple property.
*
bool *isNull, ExprDoneCond *isDone);
static Datum ExecEvalCurrentOfExpr(ExprState *exprstate, ExprContext *econtext,
bool *isNull, ExprDoneCond *isDone);
+static Datum ExecEvalGroupingFuncExpr(GroupingFuncExprState *gstate,
+ ExprContext *econtext,
+ bool *isNull, ExprDoneCond *isDone);
/* ----------------------------------------------------------------
return econtext->caseValue_datum;
}
+/*
+ * ExecEvalGroupingFuncExpr
+ *
+ * Return a bitmask with a bit for each (unevaluated) argument expression
+ * (rightmost arg is least significant bit).
+ *
+ * A bit is set if the corresponding expression is NOT part of the set of
+ * grouping expressions in the current grouping set.
+ */
+static Datum
+ExecEvalGroupingFuncExpr(GroupingFuncExprState *gstate,
+ ExprContext *econtext,
+ bool *isNull,
+ ExprDoneCond *isDone)
+{
+ int result = 0;
+ int attnum = 0;
+ Bitmapset *grouped_cols = gstate->aggstate->grouped_cols;
+ ListCell *lc;
+
+ if (isDone)
+ *isDone = ExprSingleResult;
+
+ *isNull = false;
+
+ foreach(lc, (gstate->clauses))
+ {
+ attnum = lfirst_int(lc);
+
+ result = result << 1;
+
+ if (!bms_is_member(attnum, grouped_cols))
+ result = result | 1;
+ }
+
+ return (Datum) result;
+}
+
/* ----------------------------------------------------------------
* ExecEvalArray - ARRAY[] expressions
* ----------------------------------------------------------------
state = (ExprState *) astate;
}
break;
+ case T_GroupingFunc:
+ {
+ GroupingFunc *grp_node = (GroupingFunc *) node;
+ GroupingFuncExprState *grp_state = makeNode(GroupingFuncExprState);
+ Agg *agg = NULL;
+
+ if (!parent || !IsA(parent, AggState) || !IsA(parent->plan, Agg))
+ elog(ERROR, "parent of GROUPING is not Agg node");
+
+ grp_state->aggstate = (AggState *) parent;
+
+ agg = (Agg *) (parent->plan);
+
+ if (agg->groupingSets)
+ grp_state->clauses = grp_node->cols;
+ else
+ grp_state->clauses = NIL;
+
+ state = (ExprState *) grp_state;
+ state->evalfunc = (ExprStateEvalFunc) ExecEvalGroupingFuncExpr;
+ }
+ break;
case T_WindowFunc:
{
WindowFunc *wfunc = (WindowFunc *) node;
/*
* Don't examine the arguments or filters of Aggrefs or WindowFuncs,
* because those do not represent expressions to be evaluated within the
- * overall targetlist's econtext.
+ * overall targetlist's econtext. GroupingFunc arguments are never
+ * evaluated at all.
*/
- if (IsA(node, Aggref))
+ if (IsA(node, Aggref) || IsA(node, GroupingFunc))
return false;
if (IsA(node, WindowFunc))
return false;
* needed to allow resolution of a polymorphic aggregate's result type.
*
* We compute aggregate input expressions and run the transition functions
- * in a temporary econtext (aggstate->tmpcontext). This is reset at
- * least once per input tuple, so when the transvalue datatype is
+ * in a temporary econtext (aggstate->tmpcontext). This is reset at least
+ * once per input tuple, so when the transvalue datatype is
* pass-by-reference, we have to be careful to copy it into a longer-lived
- * memory context, and free the prior value to avoid memory leakage.
- * We store transvalues in the memory context aggstate->aggcontext,
- * which is also used for the hashtable structures in AGG_HASHED mode.
- * The node's regular econtext (aggstate->ss.ps.ps_ExprContext)
- * is used to run finalize functions and compute the output tuple;
- * this context can be reset once per output tuple.
+ * memory context, and free the prior value to avoid memory leakage. We
+ * store transvalues in another set of econtexts, aggstate->aggcontexts
+ * (one per grouping set, see below), which are also used for the hashtable
+ * structures in AGG_HASHED mode. These econtexts are rescanned, not just
+ * reset, at group boundaries so that aggregate transition functions can
+ * register shutdown callbacks via AggRegisterCallback.
+ *
+ * The node's regular econtext (aggstate->ss.ps.ps_ExprContext) is used to
+ * run finalize functions and compute the output tuple; this context can be
+ * reset once per output tuple.
*
* The executor's AggState node is passed as the fmgr "context" value in
* all transfunc and finalfunc calls. It is not recommended that the
* need some fallback logic to use this, since there's no Aggref node
* for a window function.)
*
+ * Grouping sets:
+ *
+ * A list of grouping sets which is structurally equivalent to a ROLLUP
+ * clause (e.g. (a,b,c), (a,b), (a)) can be processed in a single pass over
+ * ordered data. We do this by keeping a separate set of transition values
+ * for each grouping set being concurrently processed; for each input tuple
+ * we update them all, and on group boundaries we reset those states
+ * (starting at the front of the list) whose grouping values have changed
+ * (the list of grouping sets is ordered from most specific to least
+ * specific).
+ *
+ * Where more complex grouping sets are used, we break them down into
+ * "phases", where each phase has a different sort order. During each
+ * phase but the last, the input tuples are additionally stored in a
+ * tuplesort which is keyed to the next phase's sort order; during each
+ * phase but the first, the input tuples are drawn from the previously
+ * sorted data. (The sorting of the data for the first phase is handled by
+ * the planner, as it might be satisfied by underlying nodes.)
+ *
+ * From the perspective of aggregate transition and final functions, the
+ * only issue regarding grouping sets is this: a single call site (flinfo)
+ * of an aggregate function may be used for updating several different
+ * transition values in turn. So the function must not cache in the flinfo
+ * anything which logically belongs as part of the transition value (most
+ * importantly, the memory context in which the transition value exists).
+ * The support API functions (AggCheckCallContext, AggRegisterCallback) are
+ * sensitive to the grouping set for which the aggregate function is
+ * currently being called.
+ *
+ * TODO: AGG_HASHED doesn't support multiple grouping sets yet.
*
* Portions Copyright (c) 1996-2015, PostgreSQL Global Development Group
* Portions Copyright (c) 1994, Regents of the University of California
* then at completion of the input tuple group, we scan the sorted values,
* eliminate duplicates if needed, and run the transition function on the
* rest.
+ *
+ * We need a separate tuplesort for each grouping set.
*/
- Tuplesortstate *sortstate; /* sort object, if DISTINCT or ORDER BY */
+ Tuplesortstate **sortstates; /* sort objects, if DISTINCT or ORDER BY */
/*
* This field is a pre-initialized FunctionCallInfo struct used for
*/
} AggStatePerGroupData;
+/*
+ * AggStatePerPhaseData - per-grouping-set-phase state
+ *
+ * Grouping sets are divided into "phases", where a single phase can be
+ * processed in one pass over the input. If there is more than one phase, then
+ * at the end of input from the current phase, state is reset and another pass
+ * taken over the data which has been re-sorted in the mean time.
+ *
+ * Accordingly, each phase specifies a list of grouping sets and group clause
+ * information, plus each phase after the first also has a sort order.
+ */
+typedef struct AggStatePerPhaseData
+{
+ int numsets; /* number of grouping sets (or 0) */
+ int *gset_lengths; /* lengths of grouping sets */
+ Bitmapset **grouped_cols; /* column groupings for rollup */
+ FmgrInfo *eqfunctions; /* per-grouping-field equality fns */
+ Agg *aggnode; /* Agg node for phase data */
+ Sort *sortnode; /* Sort node for input ordering for phase */
+} AggStatePerPhaseData;
+
/*
* To implement hashed aggregation, we need a hashtable that stores a
* representative tuple and an array of AggStatePerGroup structs for each
} AggHashEntryData;
+static void initialize_phase(AggState *aggstate, int newphase);
+static TupleTableSlot *fetch_input_tuple(AggState *aggstate);
static void initialize_aggregates(AggState *aggstate,
AggStatePerAgg peragg,
- AggStatePerGroup pergroup);
+ AggStatePerGroup pergroup,
+ int numReset);
static void advance_transition_function(AggState *aggstate,
AggStatePerAgg peraggstate,
AggStatePerGroup pergroupstate);
AggStatePerAgg peraggstate,
AggStatePerGroup pergroupstate,
Datum *resultVal, bool *resultIsNull);
+static void prepare_projection_slot(AggState *aggstate,
+ TupleTableSlot *slot,
+ int currentSet);
+static void finalize_aggregates(AggState *aggstate,
+ AggStatePerAgg peragg,
+ AggStatePerGroup pergroup,
+ int currentSet);
+static TupleTableSlot *project_aggregates(AggState *aggstate);
static Bitmapset *find_unaggregated_cols(AggState *aggstate);
static bool find_unaggregated_cols_walker(Node *node, Bitmapset **colnos);
static void build_hash_table(AggState *aggstate);
/*
- * Initialize all aggregates for a new group of input values.
- *
- * When called, CurrentMemoryContext should be the per-query context.
+ * Switch to phase "newphase", which must either be 0 (to reset) or
+ * current_phase + 1. Juggle the tuplesorts accordingly.
*/
static void
-initialize_aggregates(AggState *aggstate,
- AggStatePerAgg peragg,
- AggStatePerGroup pergroup)
+initialize_phase(AggState *aggstate, int newphase)
{
- int aggno;
+ Assert(newphase == 0 || newphase == aggstate->current_phase + 1);
- for (aggno = 0; aggno < aggstate->numaggs; aggno++)
+ /*
+ * Whatever the previous state, we're now done with whatever input
+ * tuplesort was in use.
+ */
+ if (aggstate->sort_in)
{
- AggStatePerAgg peraggstate = &peragg[aggno];
- AggStatePerGroup pergroupstate = &pergroup[aggno];
+ tuplesort_end(aggstate->sort_in);
+ aggstate->sort_in = NULL;
+ }
+ if (newphase == 0)
+ {
/*
- * Start a fresh sort operation for each DISTINCT/ORDER BY aggregate.
+ * Discard any existing output tuplesort.
*/
- if (peraggstate->numSortCols > 0)
+ if (aggstate->sort_out)
{
- /*
- * In case of rescan, maybe there could be an uncompleted sort
- * operation? Clean it up if so.
- */
- if (peraggstate->sortstate)
- tuplesort_end(peraggstate->sortstate);
+ tuplesort_end(aggstate->sort_out);
+ aggstate->sort_out = NULL;
+ }
+ }
+ else
+ {
+ /*
+ * The old output tuplesort becomes the new input one, and this is the
+ * right time to actually sort it.
+ */
+ aggstate->sort_in = aggstate->sort_out;
+ aggstate->sort_out = NULL;
+ Assert(aggstate->sort_in);
+ tuplesort_performsort(aggstate->sort_in);
+ }
- /*
- * We use a plain Datum sorter when there's a single input column;
- * otherwise sort the full tuple. (See comments for
- * process_ordered_aggregate_single.)
- */
- peraggstate->sortstate =
- (peraggstate->numInputs == 1) ?
+ /*
+ * If this isn't the last phase, we need to sort appropriately for the next
+ * phase in sequence.
+ */
+ if (newphase < aggstate->numphases - 1)
+ {
+ Sort *sortnode = aggstate->phases[newphase+1].sortnode;
+ PlanState *outerNode = outerPlanState(aggstate);
+ TupleDesc tupDesc = ExecGetResultType(outerNode);
+
+ aggstate->sort_out = tuplesort_begin_heap(tupDesc,
+ sortnode->numCols,
+ sortnode->sortColIdx,
+ sortnode->sortOperators,
+ sortnode->collations,
+ sortnode->nullsFirst,
+ work_mem,
+ false);
+ }
+
+ aggstate->current_phase = newphase;
+ aggstate->phase = &aggstate->phases[newphase];
+}
+
+/*
+ * Fetch a tuple from either the outer plan (for phase 0) or from the sorter
+ * populated by the previous phase. Copy it to the sorter for the next phase
+ * if any.
+ */
+static TupleTableSlot *
+fetch_input_tuple(AggState *aggstate)
+{
+ TupleTableSlot *slot;
+
+ if (aggstate->sort_in)
+ {
+ if (!tuplesort_gettupleslot(aggstate->sort_in, true, aggstate->sort_slot))
+ return NULL;
+ slot = aggstate->sort_slot;
+ }
+ else
+ slot = ExecProcNode(outerPlanState(aggstate));
+
+ if (!TupIsNull(slot) && aggstate->sort_out)
+ tuplesort_puttupleslot(aggstate->sort_out, slot);
+
+ return slot;
+}
+
+/*
+ * (Re)Initialize an individual aggregate.
+ *
+ * This function handles only one grouping set (already set in
+ * aggstate->current_set).
+ *
+ * When called, CurrentMemoryContext should be the per-query context.
+ */
+static void
+initialize_aggregate(AggState *aggstate, AggStatePerAgg peraggstate,
+ AggStatePerGroup pergroupstate)
+{
+ /*
+ * Start a fresh sort operation for each DISTINCT/ORDER BY aggregate.
+ */
+ if (peraggstate->numSortCols > 0)
+ {
+ /*
+ * In case of rescan, maybe there could be an uncompleted sort
+ * operation? Clean it up if so.
+ */
+ if (peraggstate->sortstates[aggstate->current_set])
+ tuplesort_end(peraggstate->sortstates[aggstate->current_set]);
+
+
+ /*
+ * We use a plain Datum sorter when there's a single input column;
+ * otherwise sort the full tuple. (See comments for
+ * process_ordered_aggregate_single.)
+ */
+ if (peraggstate->numInputs == 1)
+ peraggstate->sortstates[aggstate->current_set] =
tuplesort_begin_datum(peraggstate->evaldesc->attrs[0]->atttypid,
peraggstate->sortOperators[0],
peraggstate->sortCollations[0],
peraggstate->sortNullsFirst[0],
- work_mem, false) :
+ work_mem, false);
+ else
+ peraggstate->sortstates[aggstate->current_set] =
tuplesort_begin_heap(peraggstate->evaldesc,
peraggstate->numSortCols,
peraggstate->sortColIdx,
peraggstate->sortCollations,
peraggstate->sortNullsFirst,
work_mem, false);
- }
+ }
- /*
- * (Re)set transValue to the initial value.
- *
- * Note that when the initial value is pass-by-ref, we must copy it
- * (into the aggcontext) since we will pfree the transValue later.
- */
- if (peraggstate->initValueIsNull)
- pergroupstate->transValue = peraggstate->initValue;
- else
+ /*
+ * (Re)set transValue to the initial value.
+ *
+ * Note that when the initial value is pass-by-ref, we must copy
+ * it (into the aggcontext) since we will pfree the transValue
+ * later.
+ */
+ if (peraggstate->initValueIsNull)
+ pergroupstate->transValue = peraggstate->initValue;
+ else
+ {
+ MemoryContext oldContext;
+
+ oldContext = MemoryContextSwitchTo(
+ aggstate->aggcontexts[aggstate->current_set]->ecxt_per_tuple_memory);
+ pergroupstate->transValue = datumCopy(peraggstate->initValue,
+ peraggstate->transtypeByVal,
+ peraggstate->transtypeLen);
+ MemoryContextSwitchTo(oldContext);
+ }
+ pergroupstate->transValueIsNull = peraggstate->initValueIsNull;
+
+ /*
+ * If the initial value for the transition state doesn't exist in
+ * the pg_aggregate table then we will let the first non-NULL
+ * value returned from the outer procNode become the initial
+ * value. (This is useful for aggregates like max() and min().)
+ * The noTransValue flag signals that we still need to do this.
+ */
+ pergroupstate->noTransValue = peraggstate->initValueIsNull;
+}
+
+/*
+ * Initialize all aggregates for a new group of input values.
+ *
+ * If there are multiple grouping sets, we initialize only the first numReset
+ * of them (the grouping sets are ordered so that the most specific one, which
+ * is reset most often, is first). As a convenience, if numReset is < 1, we
+ * reinitialize all sets.
+ *
+ * When called, CurrentMemoryContext should be the per-query context.
+ */
+static void
+initialize_aggregates(AggState *aggstate,
+ AggStatePerAgg peragg,
+ AggStatePerGroup pergroup,
+ int numReset)
+{
+ int aggno;
+ int numGroupingSets = Max(aggstate->phase->numsets, 1);
+ int setno = 0;
+
+ if (numReset < 1)
+ numReset = numGroupingSets;
+
+ for (aggno = 0; aggno < aggstate->numaggs; aggno++)
+ {
+ AggStatePerAgg peraggstate = &peragg[aggno];
+
+ for (setno = 0; setno < numReset; setno++)
{
- MemoryContext oldContext;
+ AggStatePerGroup pergroupstate;
- oldContext = MemoryContextSwitchTo(aggstate->aggcontext);
- pergroupstate->transValue = datumCopy(peraggstate->initValue,
- peraggstate->transtypeByVal,
- peraggstate->transtypeLen);
- MemoryContextSwitchTo(oldContext);
- }
- pergroupstate->transValueIsNull = peraggstate->initValueIsNull;
+ pergroupstate = &pergroup[aggno + (setno * (aggstate->numaggs))];
- /*
- * If the initial value for the transition state doesn't exist in the
- * pg_aggregate table then we will let the first non-NULL value
- * returned from the outer procNode become the initial value. (This is
- * useful for aggregates like max() and min().) The noTransValue flag
- * signals that we still need to do this.
- */
- pergroupstate->noTransValue = peraggstate->initValueIsNull;
+ aggstate->current_set = setno;
+
+ initialize_aggregate(aggstate, peraggstate, pergroupstate);
+ }
}
}
/*
- * Given new input value(s), advance the transition function of an aggregate.
+ * Given new input value(s), advance the transition function of one aggregate
+ * within one grouping set only (already set in aggstate->current_set)
*
* The new values (and null flags) have been preloaded into argument positions
* 1 and up in peraggstate->transfn_fcinfo, so that we needn't copy them again
* We must copy the datum into aggcontext if it is pass-by-ref. We
* do not need to pfree the old transValue, since it's NULL.
*/
- oldContext = MemoryContextSwitchTo(aggstate->aggcontext);
+ oldContext = MemoryContextSwitchTo(
+ aggstate->aggcontexts[aggstate->current_set]->ecxt_per_tuple_memory);
pergroupstate->transValue = datumCopy(fcinfo->arg[1],
peraggstate->transtypeByVal,
peraggstate->transtypeLen);
{
if (!fcinfo->isnull)
{
- MemoryContextSwitchTo(aggstate->aggcontext);
+ MemoryContextSwitchTo(aggstate->aggcontexts[aggstate->current_set]->ecxt_per_tuple_memory);
newVal = datumCopy(newVal,
peraggstate->transtypeByVal,
peraggstate->transtypeLen);
advance_aggregates(AggState *aggstate, AggStatePerGroup pergroup)
{
int aggno;
+ int setno = 0;
+ int numGroupingSets = Max(aggstate->phase->numsets, 1);
+ int numAggs = aggstate->numaggs;
- for (aggno = 0; aggno < aggstate->numaggs; aggno++)
+ for (aggno = 0; aggno < numAggs; aggno++)
{
AggStatePerAgg peraggstate = &aggstate->peragg[aggno];
- AggStatePerGroup pergroupstate = &pergroup[aggno];
ExprState *filter = peraggstate->aggrefstate->aggfilter;
int numTransInputs = peraggstate->numTransInputs;
int i;
continue;
}
- /* OK, put the tuple into the tuplesort object */
- if (peraggstate->numInputs == 1)
- tuplesort_putdatum(peraggstate->sortstate,
- slot->tts_values[0],
- slot->tts_isnull[0]);
- else
- tuplesort_puttupleslot(peraggstate->sortstate, slot);
+ for (setno = 0; setno < numGroupingSets; setno++)
+ {
+ /* OK, put the tuple into the tuplesort object */
+ if (peraggstate->numInputs == 1)
+ tuplesort_putdatum(peraggstate->sortstates[setno],
+ slot->tts_values[0],
+ slot->tts_isnull[0]);
+ else
+ tuplesort_puttupleslot(peraggstate->sortstates[setno], slot);
+ }
}
else
{
fcinfo->argnull[i + 1] = slot->tts_isnull[i];
}
- advance_transition_function(aggstate, peraggstate, pergroupstate);
+ for (setno = 0; setno < numGroupingSets; setno++)
+ {
+ AggStatePerGroup pergroupstate = &pergroup[aggno + (setno * numAggs)];
+
+ aggstate->current_set = setno;
+
+ advance_transition_function(aggstate, peraggstate, pergroupstate);
+ }
}
}
}
* is around 300% faster. (The speedup for by-reference types is less
* but still noticeable.)
*
+ * This function handles only one grouping set (already set in
+ * aggstate->current_set).
+ *
* When called, CurrentMemoryContext should be the per-query context.
*/
static void
Assert(peraggstate->numDistinctCols < 2);
- tuplesort_performsort(peraggstate->sortstate);
+ tuplesort_performsort(peraggstate->sortstates[aggstate->current_set]);
/* Load the column into argument 1 (arg 0 will be transition value) */
newVal = fcinfo->arg + 1;
* pfree them when they are no longer needed.
*/
- while (tuplesort_getdatum(peraggstate->sortstate, true,
- newVal, isNull))
+ while (tuplesort_getdatum(peraggstate->sortstates[aggstate->current_set],
+ true, newVal, isNull))
{
/*
* Clear and select the working context for evaluation of the equality
if (!oldIsNull && !peraggstate->inputtypeByVal)
pfree(DatumGetPointer(oldVal));
- tuplesort_end(peraggstate->sortstate);
- peraggstate->sortstate = NULL;
+ tuplesort_end(peraggstate->sortstates[aggstate->current_set]);
+ peraggstate->sortstates[aggstate->current_set] = NULL;
}
/*
* sort, read out the values in sorted order, and run the transition
* function on each value (applying DISTINCT if appropriate).
*
+ * This function handles only one grouping set (already set in
+ * aggstate->current_set).
+ *
* When called, CurrentMemoryContext should be the per-query context.
*/
static void
bool haveOldValue = false;
int i;
- tuplesort_performsort(peraggstate->sortstate);
+ tuplesort_performsort(peraggstate->sortstates[aggstate->current_set]);
ExecClearTuple(slot1);
if (slot2)
ExecClearTuple(slot2);
- while (tuplesort_gettupleslot(peraggstate->sortstate, true, slot1))
+ while (tuplesort_gettupleslot(peraggstate->sortstates[aggstate->current_set],
+ true, slot1))
{
/*
* Extract the first numTransInputs columns as datums to pass to the
if (slot2)
ExecClearTuple(slot2);
- tuplesort_end(peraggstate->sortstate);
- peraggstate->sortstate = NULL;
+ tuplesort_end(peraggstate->sortstates[aggstate->current_set]);
+ peraggstate->sortstates[aggstate->current_set] = NULL;
}
/*
* Compute the final value of one aggregate.
*
+ * This function handles only one grouping set (already set in
+ * aggstate->current_set).
+ *
* The finalfunction will be run, and the result delivered, in the
* output-tuple context; caller's CurrentMemoryContext does not matter.
*/
/* set up aggstate->curperagg for AggGetAggref() */
aggstate->curperagg = peraggstate;
- InitFunctionCallInfoData(fcinfo, &(peraggstate->finalfn),
+ InitFunctionCallInfoData(fcinfo, &peraggstate->finalfn,
numFinalArgs,
peraggstate->aggCollation,
(void *) aggstate, NULL);
MemoryContextSwitchTo(oldContext);
}
+
+/*
+ * Prepare to finalize and project based on the specified representative tuple
+ * slot and grouping set.
+ *
+ * In the specified tuple slot, force to null all attributes that should be
+ * read as null in the context of the current grouping set. Also stash the
+ * current group bitmap where GroupingExpr can get at it.
+ *
+ * This relies on three conditions:
+ *
+ * 1) Nothing is ever going to try and extract the whole tuple from this slot,
+ * only reference it in evaluations, which will only access individual
+ * attributes.
+ *
+ * 2) No system columns are going to need to be nulled. (If a system column is
+ * referenced in a group clause, it is actually projected in the outer plan
+ * tlist.)
+ *
+ * 3) Within a given phase, we never need to recover the value of an attribute
+ * once it has been set to null.
+ *
+ * Poking into the slot this way is a bit ugly, but the consensus is that the
+ * alternative was worse.
+ */
+static void
+prepare_projection_slot(AggState *aggstate, TupleTableSlot *slot, int currentSet)
+{
+ if (aggstate->phase->grouped_cols)
+ {
+ Bitmapset *grouped_cols = aggstate->phase->grouped_cols[currentSet];
+
+ aggstate->grouped_cols = grouped_cols;
+
+ if (slot->tts_isempty)
+ {
+ /*
+ * Force all values to be NULL if working on an empty input tuple
+ * (i.e. an empty grouping set for which no input rows were
+ * supplied).
+ */
+ ExecStoreAllNullTuple(slot);
+ }
+ else if (aggstate->all_grouped_cols)
+ {
+ ListCell *lc;
+
+ /* all_grouped_cols is arranged in desc order */
+ slot_getsomeattrs(slot, linitial_int(aggstate->all_grouped_cols));
+
+ foreach(lc, aggstate->all_grouped_cols)
+ {
+ int attnum = lfirst_int(lc);
+
+ if (!bms_is_member(attnum, grouped_cols))
+ slot->tts_isnull[attnum - 1] = true;
+ }
+ }
+ }
+}
+
+/*
+ * Compute the final value of all aggregates for one group.
+ *
+ * This function handles only one grouping set at a time.
+ *
+ * Results are stored in the output econtext aggvalues/aggnulls.
+ */
+static void
+finalize_aggregates(AggState *aggstate,
+ AggStatePerAgg peragg,
+ AggStatePerGroup pergroup,
+ int currentSet)
+{
+ ExprContext *econtext = aggstate->ss.ps.ps_ExprContext;
+ Datum *aggvalues = econtext->ecxt_aggvalues;
+ bool *aggnulls = econtext->ecxt_aggnulls;
+ int aggno;
+
+ Assert(currentSet == 0 ||
+ ((Agg *) aggstate->ss.ps.plan)->aggstrategy != AGG_HASHED);
+
+ aggstate->current_set = currentSet;
+
+ for (aggno = 0; aggno < aggstate->numaggs; aggno++)
+ {
+ AggStatePerAgg peraggstate = &peragg[aggno];
+ AggStatePerGroup pergroupstate;
+
+ pergroupstate = &pergroup[aggno + (currentSet * (aggstate->numaggs))];
+
+ if (peraggstate->numSortCols > 0)
+ {
+ Assert(((Agg *) aggstate->ss.ps.plan)->aggstrategy != AGG_HASHED);
+
+ if (peraggstate->numInputs == 1)
+ process_ordered_aggregate_single(aggstate,
+ peraggstate,
+ pergroupstate);
+ else
+ process_ordered_aggregate_multi(aggstate,
+ peraggstate,
+ pergroupstate);
+ }
+
+ finalize_aggregate(aggstate, peraggstate, pergroupstate,
+ &aggvalues[aggno], &aggnulls[aggno]);
+ }
+}
+
+/*
+ * Project the result of a group (whose aggs have already been calculated by
+ * finalize_aggregates). Returns the result slot, or NULL if no row is
+ * projected (suppressed by qual or by an empty SRF).
+ */
+static TupleTableSlot *
+project_aggregates(AggState *aggstate)
+{
+ ExprContext *econtext = aggstate->ss.ps.ps_ExprContext;
+
+ /*
+ * Check the qual (HAVING clause); if the group does not match, ignore
+ * it.
+ */
+ if (ExecQual(aggstate->ss.ps.qual, econtext, false))
+ {
+ /*
+ * Form and return or store a projection tuple using the aggregate
+ * results and the representative input tuple.
+ */
+ ExprDoneCond isDone;
+ TupleTableSlot *result;
+
+ result = ExecProject(aggstate->ss.ps.ps_ProjInfo, &isDone);
+
+ if (isDone != ExprEndResult)
+ {
+ aggstate->ss.ps.ps_TupFromTlist =
+ (isDone == ExprMultipleResult);
+ return result;
+ }
+ }
+ else
+ InstrCountFiltered1(aggstate, 1);
+
+ return NULL;
+}
+
/*
* find_unaggregated_cols
* Construct a bitmapset of the column numbers of un-aggregated Vars
*colnos = bms_add_member(*colnos, var->varattno);
return false;
}
- if (IsA(node, Aggref)) /* do not descend into aggregate exprs */
+ if (IsA(node, Aggref) || IsA(node, GroupingFunc))
+ {
+ /* do not descend into aggregate exprs */
return false;
+ }
return expression_tree_walker(node, find_unaggregated_cols_walker,
(void *) colnos);
}
aggstate->hashtable = BuildTupleHashTable(node->numCols,
node->grpColIdx,
- aggstate->eqfunctions,
+ aggstate->phase->eqfunctions,
aggstate->hashfunctions,
node->numGroups,
entrysize,
- aggstate->aggcontext,
+ aggstate->aggcontexts[0]->ecxt_per_tuple_memory,
tmpmem);
}
if (isnew)
{
/* initialize aggregates for new tuple group */
- initialize_aggregates(aggstate, aggstate->peragg, entry->pergroup);
+ initialize_aggregates(aggstate, aggstate->peragg, entry->pergroup, 0);
}
return entry;
TupleTableSlot *
ExecAgg(AggState *node)
{
+ TupleTableSlot *result;
+
/*
* Check to see if we're still projecting out tuples from a previous agg
* tuple (because there is a function-returning-set in the projection
*/
if (node->ss.ps.ps_TupFromTlist)
{
- TupleTableSlot *result;
ExprDoneCond isDone;
result = ExecProject(node->ss.ps.ps_ProjInfo, &isDone);
}
/*
- * Exit if nothing left to do. (We must do the ps_TupFromTlist check
- * first, because in some cases agg_done gets set before we emit the final
- * aggregate tuple, and we have to finish running SRFs for it.)
+ * (We must do the ps_TupFromTlist check first, because in some cases
+ * agg_done gets set before we emit the final aggregate tuple, and we have
+ * to finish running SRFs for it.)
*/
- if (node->agg_done)
- return NULL;
-
- /* Dispatch based on strategy */
- if (((Agg *) node->ss.ps.plan)->aggstrategy == AGG_HASHED)
+ if (!node->agg_done)
{
- if (!node->table_filled)
- agg_fill_hash_table(node);
- return agg_retrieve_hash_table(node);
+ /* Dispatch based on strategy */
+ switch (node->phase->aggnode->aggstrategy)
+ {
+ case AGG_HASHED:
+ if (!node->table_filled)
+ agg_fill_hash_table(node);
+ result = agg_retrieve_hash_table(node);
+ break;
+ default:
+ result = agg_retrieve_direct(node);
+ break;
+ }
+
+ if (!TupIsNull(result))
+ return result;
}
- else
- return agg_retrieve_direct(node);
+
+ return NULL;
}
/*
static TupleTableSlot *
agg_retrieve_direct(AggState *aggstate)
{
- Agg *node = (Agg *) aggstate->ss.ps.plan;
- PlanState *outerPlan;
+ Agg *node = aggstate->phase->aggnode;
ExprContext *econtext;
ExprContext *tmpcontext;
- Datum *aggvalues;
- bool *aggnulls;
AggStatePerAgg peragg;
AggStatePerGroup pergroup;
TupleTableSlot *outerslot;
TupleTableSlot *firstSlot;
- int aggno;
+ TupleTableSlot *result;
+ bool hasGroupingSets = aggstate->phase->numsets > 0;
+ int numGroupingSets = Max(aggstate->phase->numsets, 1);
+ int currentSet;
+ int nextSetSize;
+ int numReset;
+ int i;
/*
* get state info from node
+ *
+ * econtext is the per-output-tuple expression context
+ * tmpcontext is the per-input-tuple expression context
*/
- outerPlan = outerPlanState(aggstate);
- /* econtext is the per-output-tuple expression context */
econtext = aggstate->ss.ps.ps_ExprContext;
- aggvalues = econtext->ecxt_aggvalues;
- aggnulls = econtext->ecxt_aggnulls;
- /* tmpcontext is the per-input-tuple expression context */
tmpcontext = aggstate->tmpcontext;
+
peragg = aggstate->peragg;
pergroup = aggstate->pergroup;
firstSlot = aggstate->ss.ss_ScanTupleSlot;
/*
* We loop retrieving groups until we find one matching
* aggstate->ss.ps.qual
+ *
+ * For grouping sets, we have the invariant that aggstate->projected_set
+ * is either -1 (initial call) or the index (starting from 0) in
+ * gset_lengths for the group we just completed (either by projecting a
+ * row or by discarding it in the qual).
*/
while (!aggstate->agg_done)
{
/*
- * If we don't already have the first tuple of the new group, fetch it
- * from the outer plan.
+ * Clear the per-output-tuple context for each group, as well as
+ * aggcontext (which contains any pass-by-ref transvalues of the old
+ * group). Some aggregate functions store working state in child
+ * contexts; those now get reset automatically without us needing to
+ * do anything special.
+ *
+ * We use ReScanExprContext not just ResetExprContext because we want
+ * any registered shutdown callbacks to be called. That allows
+ * aggregate functions to ensure they've cleaned up any non-memory
+ * resources.
+ */
+ ReScanExprContext(econtext);
+
+ /*
+ * Determine how many grouping sets need to be reset at this boundary.
*/
- if (aggstate->grp_firstTuple == NULL)
+ if (aggstate->projected_set >= 0 &&
+ aggstate->projected_set < numGroupingSets)
+ numReset = aggstate->projected_set + 1;
+ else
+ numReset = numGroupingSets;
+
+ /*
+ * numReset can change on a phase boundary, but that's OK; we want to
+ * reset the contexts used in _this_ phase, and later, after possibly
+ * changing phase, initialize the right number of aggregates for the
+ * _new_ phase.
+ */
+
+ for (i = 0; i < numReset; i++)
+ {
+ ReScanExprContext(aggstate->aggcontexts[i]);
+ }
+
+ /*
+ * Check if input is complete and there are no more groups to project
+ * in this phase; move to next phase or mark as done.
+ */
+ if (aggstate->input_done == true &&
+ aggstate->projected_set >= (numGroupingSets - 1))
{
- outerslot = ExecProcNode(outerPlan);
- if (!TupIsNull(outerslot))
+ if (aggstate->current_phase < aggstate->numphases - 1)
{
- /*
- * Make a copy of the first input tuple; we will use this for
- * comparisons (in group mode) and for projection.
- */
- aggstate->grp_firstTuple = ExecCopySlotTuple(outerslot);
+ initialize_phase(aggstate, aggstate->current_phase + 1);
+ aggstate->input_done = false;
+ aggstate->projected_set = -1;
+ numGroupingSets = Max(aggstate->phase->numsets, 1);
+ node = aggstate->phase->aggnode;
+ numReset = numGroupingSets;
}
else
{
- /* outer plan produced no tuples at all */
aggstate->agg_done = true;
- /* If we are grouping, we should produce no tuples too */
- if (node->aggstrategy != AGG_PLAIN)
- return NULL;
+ break;
}
}
/*
- * Clear the per-output-tuple context for each group, as well as
- * aggcontext (which contains any pass-by-ref transvalues of the old
- * group). We also clear any child contexts of the aggcontext; some
- * aggregate functions store working state in such contexts.
- *
- * We use ReScanExprContext not just ResetExprContext because we want
- * any registered shutdown callbacks to be called. That allows
- * aggregate functions to ensure they've cleaned up any non-memory
- * resources.
+ * Get the number of columns in the next grouping set after the last
+ * projected one (if any). This is the number of columns to compare to
+ * see if we reached the boundary of that set too.
*/
- ReScanExprContext(econtext);
-
- MemoryContextResetAndDeleteChildren(aggstate->aggcontext);
+ if (aggstate->projected_set >= 0 &&
+ aggstate->projected_set < (numGroupingSets - 1))
+ nextSetSize = aggstate->phase->gset_lengths[aggstate->projected_set + 1];
+ else
+ nextSetSize = 0;
- /*
- * Initialize working state for a new input tuple group
+ /*-
+ * If a subgroup for the current grouping set is present, project it.
+ *
+ * We have a new group if:
+ * - we're out of input but haven't projected all grouping sets
+ * (checked above)
+ * OR
+ * - we already projected a row that wasn't from the last grouping
+ * set
+ * AND
+ * - the next grouping set has at least one grouping column (since
+ * empty grouping sets project only once input is exhausted)
+ * AND
+ * - the previous and pending rows differ on the grouping columns
+ * of the next grouping set
*/
- initialize_aggregates(aggstate, peragg, pergroup);
+ if (aggstate->input_done ||
+ (node->aggstrategy == AGG_SORTED &&
+ aggstate->projected_set != -1 &&
+ aggstate->projected_set < (numGroupingSets - 1) &&
+ nextSetSize > 0 &&
+ !execTuplesMatch(econtext->ecxt_outertuple,
+ tmpcontext->ecxt_outertuple,
+ nextSetSize,
+ node->grpColIdx,
+ aggstate->phase->eqfunctions,
+ tmpcontext->ecxt_per_tuple_memory)))
+ {
+ aggstate->projected_set += 1;
- if (aggstate->grp_firstTuple != NULL)
+ Assert(aggstate->projected_set < numGroupingSets);
+ Assert(nextSetSize > 0 || aggstate->input_done);
+ }
+ else
{
/*
- * Store the copied first input tuple in the tuple table slot
- * reserved for it. The tuple will be deleted when it is cleared
- * from the slot.
+ * We no longer care what group we just projected, the next
+ * projection will always be the first (or only) grouping set
+ * (unless the input proves to be empty).
*/
- ExecStoreTuple(aggstate->grp_firstTuple,
- firstSlot,
- InvalidBuffer,
- true);
- aggstate->grp_firstTuple = NULL; /* don't keep two pointers */
-
- /* set up for first advance_aggregates call */
- tmpcontext->ecxt_outertuple = firstSlot;
+ aggstate->projected_set = 0;
/*
- * Process each outer-plan tuple, and then fetch the next one,
- * until we exhaust the outer plan or cross a group boundary.
+ * If we don't already have the first tuple of the new group,
+ * fetch it from the outer plan.
*/
- for (;;)
+ if (aggstate->grp_firstTuple == NULL)
{
- advance_aggregates(aggstate, pergroup);
-
- /* Reset per-input-tuple context after each tuple */
- ResetExprContext(tmpcontext);
-
- outerslot = ExecProcNode(outerPlan);
- if (TupIsNull(outerslot))
+ outerslot = fetch_input_tuple(aggstate);
+ if (!TupIsNull(outerslot))
{
- /* no more outer-plan tuples available */
- aggstate->agg_done = true;
- break;
+ /*
+ * Make a copy of the first input tuple; we will use this
+ * for comparisons (in group mode) and for projection.
+ */
+ aggstate->grp_firstTuple = ExecCopySlotTuple(outerslot);
}
- /* set up for next advance_aggregates call */
- tmpcontext->ecxt_outertuple = outerslot;
-
- /*
- * If we are grouping, check whether we've crossed a group
- * boundary.
- */
- if (node->aggstrategy == AGG_SORTED)
+ else
{
- if (!execTuplesMatch(firstSlot,
- outerslot,
- node->numCols, node->grpColIdx,
- aggstate->eqfunctions,
- tmpcontext->ecxt_per_tuple_memory))
+ /* outer plan produced no tuples at all */
+ if (hasGroupingSets)
{
/*
- * Save the first input tuple of the next group.
+ * If there was no input at all, we need to project
+ * rows only if there are grouping sets of size 0.
+ * Note that this implies that there can't be any
+ * references to ungrouped Vars, which would otherwise
+ * cause issues with the empty output slot.
+ *
+ * XXX: This is no longer true, we currently deal with
+ * this in finalize_aggregates().
*/
- aggstate->grp_firstTuple = ExecCopySlotTuple(outerslot);
- break;
+ aggstate->input_done = true;
+
+ while (aggstate->phase->gset_lengths[aggstate->projected_set] > 0)
+ {
+ aggstate->projected_set += 1;
+ if (aggstate->projected_set >= numGroupingSets)
+ {
+ /*
+ * We can't set agg_done here because we might
+ * have more phases to do, even though the
+ * input is empty. So we need to restart the
+ * whole outer loop.
+ */
+ break;
+ }
+ }
+
+ if (aggstate->projected_set >= numGroupingSets)
+ continue;
+ }
+ else
+ {
+ aggstate->agg_done = true;
+ /* If we are grouping, we should produce no tuples too */
+ if (node->aggstrategy != AGG_PLAIN)
+ return NULL;
}
}
}
- }
- /*
- * Use the representative input tuple for any references to
- * non-aggregated input columns in aggregate direct args, the node
- * qual, and the tlist. (If we are not grouping, and there are no
- * input rows at all, we will come here with an empty firstSlot ...
- * but if not grouping, there can't be any references to
- * non-aggregated input columns, so no problem.)
- */
- econtext->ecxt_outertuple = firstSlot;
-
- /*
- * Done scanning input tuple group. Finalize each aggregate
- * calculation, and stash results in the per-output-tuple context.
- */
- for (aggno = 0; aggno < aggstate->numaggs; aggno++)
- {
- AggStatePerAgg peraggstate = &peragg[aggno];
- AggStatePerGroup pergroupstate = &pergroup[aggno];
+ /*
+ * Initialize working state for a new input tuple group.
+ */
+ initialize_aggregates(aggstate, peragg, pergroup, numReset);
- if (peraggstate->numSortCols > 0)
+ if (aggstate->grp_firstTuple != NULL)
{
- if (peraggstate->numInputs == 1)
- process_ordered_aggregate_single(aggstate,
- peraggstate,
- pergroupstate);
- else
- process_ordered_aggregate_multi(aggstate,
- peraggstate,
- pergroupstate);
- }
+ /*
+ * Store the copied first input tuple in the tuple table slot
+ * reserved for it. The tuple will be deleted when it is
+ * cleared from the slot.
+ */
+ ExecStoreTuple(aggstate->grp_firstTuple,
+ firstSlot,
+ InvalidBuffer,
+ true);
+ aggstate->grp_firstTuple = NULL; /* don't keep two pointers */
- finalize_aggregate(aggstate, peraggstate, pergroupstate,
- &aggvalues[aggno], &aggnulls[aggno]);
- }
+ /* set up for first advance_aggregates call */
+ tmpcontext->ecxt_outertuple = firstSlot;
- /*
- * Check the qual (HAVING clause); if the group does not match, ignore
- * it and loop back to try to process another group.
- */
- if (ExecQual(aggstate->ss.ps.qual, econtext, false))
- {
- /*
- * Form and return a projection tuple using the aggregate results
- * and the representative input tuple.
- */
- TupleTableSlot *result;
- ExprDoneCond isDone;
+ /*
+ * Process each outer-plan tuple, and then fetch the next one,
+ * until we exhaust the outer plan or cross a group boundary.
+ */
+ for (;;)
+ {
+ advance_aggregates(aggstate, pergroup);
- result = ExecProject(aggstate->ss.ps.ps_ProjInfo, &isDone);
+ /* Reset per-input-tuple context after each tuple */
+ ResetExprContext(tmpcontext);
- if (isDone != ExprEndResult)
- {
- aggstate->ss.ps.ps_TupFromTlist =
- (isDone == ExprMultipleResult);
- return result;
+ outerslot = fetch_input_tuple(aggstate);
+ if (TupIsNull(outerslot))
+ {
+ /* no more outer-plan tuples available */
+ if (hasGroupingSets)
+ {
+ aggstate->input_done = true;
+ break;
+ }
+ else
+ {
+ aggstate->agg_done = true;
+ break;
+ }
+ }
+ /* set up for next advance_aggregates call */
+ tmpcontext->ecxt_outertuple = outerslot;
+
+ /*
+ * If we are grouping, check whether we've crossed a group
+ * boundary.
+ */
+ if (node->aggstrategy == AGG_SORTED)
+ {
+ if (!execTuplesMatch(firstSlot,
+ outerslot,
+ node->numCols,
+ node->grpColIdx,
+ aggstate->phase->eqfunctions,
+ tmpcontext->ecxt_per_tuple_memory))
+ {
+ aggstate->grp_firstTuple = ExecCopySlotTuple(outerslot);
+ break;
+ }
+ }
+ }
}
+
+ /*
+ * Use the representative input tuple for any references to
+ * non-aggregated input columns in aggregate direct args, the node
+ * qual, and the tlist. (If we are not grouping, and there are no
+ * input rows at all, we will come here with an empty firstSlot ...
+ * but if not grouping, there can't be any references to
+ * non-aggregated input columns, so no problem.)
+ */
+ econtext->ecxt_outertuple = firstSlot;
}
- else
- InstrCountFiltered1(aggstate, 1);
+
+ Assert(aggstate->projected_set >= 0);
+
+ currentSet = aggstate->projected_set;
+
+ prepare_projection_slot(aggstate, econtext->ecxt_outertuple, currentSet);
+
+ finalize_aggregates(aggstate, peragg, pergroup, currentSet);
+
+ /*
+ * If there's no row to project right now, we must continue rather than
+ * returning a null since there might be more groups.
+ */
+ result = project_aggregates(aggstate);
+ if (result)
+ return result;
}
/* No more groups */
static void
agg_fill_hash_table(AggState *aggstate)
{
- PlanState *outerPlan;
ExprContext *tmpcontext;
AggHashEntry entry;
TupleTableSlot *outerslot;
/*
* get state info from node
+ *
+ * tmpcontext is the per-input-tuple expression context
*/
- outerPlan = outerPlanState(aggstate);
- /* tmpcontext is the per-input-tuple expression context */
tmpcontext = aggstate->tmpcontext;
/*
*/
for (;;)
{
- outerslot = ExecProcNode(outerPlan);
+ outerslot = fetch_input_tuple(aggstate);
if (TupIsNull(outerslot))
break;
/* set up for advance_aggregates call */
agg_retrieve_hash_table(AggState *aggstate)
{
ExprContext *econtext;
- Datum *aggvalues;
- bool *aggnulls;
AggStatePerAgg peragg;
AggStatePerGroup pergroup;
AggHashEntry entry;
TupleTableSlot *firstSlot;
- int aggno;
+ TupleTableSlot *result;
/*
* get state info from node
*/
/* econtext is the per-output-tuple expression context */
econtext = aggstate->ss.ps.ps_ExprContext;
- aggvalues = econtext->ecxt_aggvalues;
- aggnulls = econtext->ecxt_aggnulls;
peragg = aggstate->peragg;
firstSlot = aggstate->ss.ss_ScanTupleSlot;
pergroup = entry->pergroup;
- /*
- * Finalize each aggregate calculation, and stash results in the
- * per-output-tuple context.
- */
- for (aggno = 0; aggno < aggstate->numaggs; aggno++)
- {
- AggStatePerAgg peraggstate = &peragg[aggno];
- AggStatePerGroup pergroupstate = &pergroup[aggno];
-
- Assert(peraggstate->numSortCols == 0);
- finalize_aggregate(aggstate, peraggstate, pergroupstate,
- &aggvalues[aggno], &aggnulls[aggno]);
- }
+ finalize_aggregates(aggstate, peragg, pergroup, 0);
/*
* Use the representative input tuple for any references to
*/
econtext->ecxt_outertuple = firstSlot;
- /*
- * Check the qual (HAVING clause); if the group does not match, ignore
- * it and loop back to try to process another group.
- */
- if (ExecQual(aggstate->ss.ps.qual, econtext, false))
- {
- /*
- * Form and return a projection tuple using the aggregate results
- * and the representative input tuple.
- */
- TupleTableSlot *result;
- ExprDoneCond isDone;
-
- result = ExecProject(aggstate->ss.ps.ps_ProjInfo, &isDone);
-
- if (isDone != ExprEndResult)
- {
- aggstate->ss.ps.ps_TupFromTlist =
- (isDone == ExprMultipleResult);
- return result;
- }
- }
- else
- InstrCountFiltered1(aggstate, 1);
+ result = project_aggregates(aggstate);
+ if (result)
+ return result;
}
/* No more groups */
ExprContext *econtext;
int numaggs,
aggno;
+ int phase;
ListCell *l;
+ Bitmapset *all_grouped_cols = NULL;
+ int numGroupingSets = 1;
+ int numPhases;
+ int currentsortno = 0;
+ int i = 0;
+ int j = 0;
/* check for unsupported flags */
Assert(!(eflags & (EXEC_FLAG_BACKWARD | EXEC_FLAG_MARK)));
aggstate->aggs = NIL;
aggstate->numaggs = 0;
- aggstate->eqfunctions = NULL;
+ aggstate->maxsets = 0;
aggstate->hashfunctions = NULL;
+ aggstate->projected_set = -1;
+ aggstate->current_set = 0;
aggstate->peragg = NULL;
aggstate->curperagg = NULL;
aggstate->agg_done = false;
+ aggstate->input_done = false;
aggstate->pergroup = NULL;
aggstate->grp_firstTuple = NULL;
aggstate->hashtable = NULL;
+ aggstate->sort_in = NULL;
+ aggstate->sort_out = NULL;
/*
- * Create expression contexts. We need two, one for per-input-tuple
- * processing and one for per-output-tuple processing. We cheat a little
- * by using ExecAssignExprContext() to build both.
+ * Calculate the maximum number of grouping sets in any phase; this
+ * determines the size of some allocations.
*/
- ExecAssignExprContext(estate, &aggstate->ss.ps);
- aggstate->tmpcontext = aggstate->ss.ps.ps_ExprContext;
- ExecAssignExprContext(estate, &aggstate->ss.ps);
+ if (node->groupingSets)
+ {
+ Assert(node->aggstrategy != AGG_HASHED);
+
+ numGroupingSets = list_length(node->groupingSets);
+
+ foreach(l, node->chain)
+ {
+ Agg *agg = lfirst(l);
+
+ numGroupingSets = Max(numGroupingSets,
+ list_length(agg->groupingSets));
+ }
+ }
+
+ aggstate->maxsets = numGroupingSets;
+ aggstate->numphases = numPhases = 1 + list_length(node->chain);
+
+ aggstate->aggcontexts = (ExprContext **)
+ palloc0(sizeof(ExprContext *) * numGroupingSets);
/*
- * We also need a long-lived memory context for holding hashtable data
- * structures and transition values. NOTE: the details of what is stored
- * in aggcontext and what is stored in the regular per-query memory
- * context are driven by a simple decision: we want to reset the
- * aggcontext at group boundaries (if not hashing) and in ExecReScanAgg to
- * recover no-longer-wanted space.
+ * Create expression contexts. We need three or more, one for
+ * per-input-tuple processing, one for per-output-tuple processing, and
+ * one for each grouping set. The per-tuple memory context of the
+ * per-grouping-set ExprContexts (aggcontexts) replaces the standalone
+ * memory context formerly used to hold transition values. We cheat a
+ * little by using ExecAssignExprContext() to build all of them.
+ *
+ * NOTE: the details of what is stored in aggcontexts and what is stored
+ * in the regular per-query memory context are driven by a simple
+ * decision: we want to reset the aggcontext at group boundaries (if not
+ * hashing) and in ExecReScanAgg to recover no-longer-wanted space.
*/
- aggstate->aggcontext =
- AllocSetContextCreate(CurrentMemoryContext,
- "AggContext",
- ALLOCSET_DEFAULT_MINSIZE,
- ALLOCSET_DEFAULT_INITSIZE,
- ALLOCSET_DEFAULT_MAXSIZE);
+ ExecAssignExprContext(estate, &aggstate->ss.ps);
+ aggstate->tmpcontext = aggstate->ss.ps.ps_ExprContext;
+
+ for (i = 0; i < numGroupingSets; ++i)
+ {
+ ExecAssignExprContext(estate, &aggstate->ss.ps);
+ aggstate->aggcontexts[i] = aggstate->ss.ps.ps_ExprContext;
+ }
+
+ ExecAssignExprContext(estate, &aggstate->ss.ps);
/*
* tuple table initialization
ExecInitScanTupleSlot(estate, &aggstate->ss);
ExecInitResultTupleSlot(estate, &aggstate->ss.ps);
aggstate->hashslot = ExecInitExtraTupleSlot(estate);
+ aggstate->sort_slot = ExecInitExtraTupleSlot(estate);
/*
* initialize child expressions
(PlanState *) aggstate);
/*
- * initialize child nodes
+ * Initialize child nodes.
*
* If we are doing a hashed aggregation then the child plan does not need
* to handle REWIND efficiently; see ExecReScanAgg.
* initialize source tuple type.
*/
ExecAssignScanTypeFromOuterPlan(&aggstate->ss);
+ if (node->chain)
+ ExecSetSlotDescriptor(aggstate->sort_slot,
+ aggstate->ss.ss_ScanTupleSlot->tts_tupleDescriptor);
/*
* Initialize result tuple type and projection info.
}
/*
- * If we are grouping, precompute fmgr lookup data for inner loop. We need
- * both equality and hashing functions to do it by hashing, but only
- * equality if not hashing.
+ * For each phase, prepare grouping set data and fmgr lookup data for
+ * compare functions. Accumulate all_grouped_cols in passing.
*/
- if (node->numCols > 0)
+
+ aggstate->phases = palloc0(numPhases * sizeof(AggStatePerPhaseData));
+
+ for (phase = 0; phase < numPhases; ++phase)
{
- if (node->aggstrategy == AGG_HASHED)
- execTuplesHashPrepare(node->numCols,
- node->grpOperators,
- &aggstate->eqfunctions,
- &aggstate->hashfunctions);
+ AggStatePerPhase phasedata = &aggstate->phases[phase];
+ Agg *aggnode;
+ Sort *sortnode;
+ int num_sets;
+
+ if (phase > 0)
+ {
+ aggnode = list_nth(node->chain, phase-1);
+ sortnode = (Sort *) aggnode->plan.lefttree;
+ Assert(IsA(sortnode, Sort));
+ }
+ else
+ {
+ aggnode = node;
+ sortnode = NULL;
+ }
+
+ phasedata->numsets = num_sets = list_length(aggnode->groupingSets);
+
+ if (num_sets)
+ {
+ phasedata->gset_lengths = palloc(num_sets * sizeof(int));
+ phasedata->grouped_cols = palloc(num_sets * sizeof(Bitmapset *));
+
+ i = 0;
+ foreach(l, aggnode->groupingSets)
+ {
+ int current_length = list_length(lfirst(l));
+ Bitmapset *cols = NULL;
+
+ /* planner forces this to be correct */
+ for (j = 0; j < current_length; ++j)
+ cols = bms_add_member(cols, aggnode->grpColIdx[j]);
+
+ phasedata->grouped_cols[i] = cols;
+ phasedata->gset_lengths[i] = current_length;
+ ++i;
+ }
+
+ all_grouped_cols = bms_add_members(all_grouped_cols,
+ phasedata->grouped_cols[0]);
+ }
else
- aggstate->eqfunctions =
- execTuplesMatchPrepare(node->numCols,
- node->grpOperators);
+ {
+ Assert(phase == 0);
+
+ phasedata->gset_lengths = NULL;
+ phasedata->grouped_cols = NULL;
+ }
+
+ /*
+ * If we are grouping, precompute fmgr lookup data for inner loop.
+ */
+ if (aggnode->aggstrategy == AGG_SORTED)
+ {
+ Assert(aggnode->numCols > 0);
+
+ phasedata->eqfunctions =
+ execTuplesMatchPrepare(aggnode->numCols,
+ aggnode->grpOperators);
+ }
+
+ phasedata->aggnode = aggnode;
+ phasedata->sortnode = sortnode;
}
+ /*
+ * Convert all_grouped_cols to a descending-order list.
+ */
+ i = -1;
+ while ((i = bms_next_member(all_grouped_cols, i)) >= 0)
+ aggstate->all_grouped_cols = lcons_int(i, aggstate->all_grouped_cols);
+
+ /*
+ * Hashing can only appear in the initial phase.
+ */
+
+ if (node->aggstrategy == AGG_HASHED)
+ execTuplesHashPrepare(node->numCols,
+ node->grpOperators,
+ &aggstate->phases[0].eqfunctions,
+ &aggstate->hashfunctions);
+
+ /*
+ * Initialize current phase-dependent values to initial phase
+ */
+
+ aggstate->current_phase = 0;
+ initialize_phase(aggstate, 0);
+
/*
* Set up aggregate-result storage in the output expr context, and also
* allocate my private per-agg working storage
{
AggStatePerGroup pergroup;
- pergroup = (AggStatePerGroup) palloc0(sizeof(AggStatePerGroupData) * numaggs);
+ pergroup = (AggStatePerGroup) palloc0(sizeof(AggStatePerGroupData)
+ * numaggs
+ * numGroupingSets);
+
aggstate->pergroup = pergroup;
}
/* Begin filling in the peraggstate data */
peraggstate->aggrefstate = aggrefstate;
peraggstate->aggref = aggref;
- peraggstate->sortstate = NULL;
+ peraggstate->sortstates =(Tuplesortstate**)
+ palloc0(sizeof(Tuplesortstate*) * numGroupingSets);
+
+ for (currentsortno = 0; currentsortno < numGroupingSets; currentsortno++)
+ peraggstate->sortstates[currentsortno] = NULL;
/* Fetch the pg_aggregate row */
aggTuple = SearchSysCache1(AGGFNOID,
{
PlanState *outerPlan;
int aggno;
+ int numGroupingSets = Max(node->maxsets, 1);
+ int setno;
/* Make sure we have closed any open tuplesorts */
+
+ if (node->sort_in)
+ tuplesort_end(node->sort_in);
+ if (node->sort_out)
+ tuplesort_end(node->sort_out);
+
for (aggno = 0; aggno < node->numaggs; aggno++)
{
AggStatePerAgg peraggstate = &node->peragg[aggno];
- if (peraggstate->sortstate)
- tuplesort_end(peraggstate->sortstate);
+ for (setno = 0; setno < numGroupingSets; setno++)
+ {
+ if (peraggstate->sortstates[setno])
+ tuplesort_end(peraggstate->sortstates[setno]);
+ }
}
/* And ensure any agg shutdown callbacks have been called */
- ReScanExprContext(node->ss.ps.ps_ExprContext);
+ for (setno = 0; setno < numGroupingSets; setno++)
+ ReScanExprContext(node->aggcontexts[setno]);
/*
- * Free both the expr contexts.
+ * We don't actually free any ExprContexts here (see comment in
+ * ExecFreeExprContext), just unlinking the output one from the plan node
+ * suffices.
*/
ExecFreeExprContext(&node->ss.ps);
- node->ss.ps.ps_ExprContext = node->tmpcontext;
- ExecFreeExprContext(&node->ss.ps);
/* clean up tuple table */
ExecClearTuple(node->ss.ss_ScanTupleSlot);
- MemoryContextDelete(node->aggcontext);
-
outerPlan = outerPlanState(node);
ExecEndNode(outerPlan);
}
{
ExprContext *econtext = node->ss.ps.ps_ExprContext;
PlanState *outerPlan = outerPlanState(node);
+ Agg *aggnode = (Agg *) node->ss.ps.plan;
int aggno;
+ int numGroupingSets = Max(node->maxsets, 1);
+ int setno;
node->agg_done = false;
node->ss.ps.ps_TupFromTlist = false;
- if (((Agg *) node->ss.ps.plan)->aggstrategy == AGG_HASHED)
+ if (aggnode->aggstrategy == AGG_HASHED)
{
/*
* In the hashed case, if we haven't yet built the hash table then we
/* Make sure we have closed any open tuplesorts */
for (aggno = 0; aggno < node->numaggs; aggno++)
{
- AggStatePerAgg peraggstate = &node->peragg[aggno];
+ for (setno = 0; setno < numGroupingSets; setno++)
+ {
+ AggStatePerAgg peraggstate = &node->peragg[aggno];
- if (peraggstate->sortstate)
- tuplesort_end(peraggstate->sortstate);
- peraggstate->sortstate = NULL;
+ if (peraggstate->sortstates[setno])
+ {
+ tuplesort_end(peraggstate->sortstates[setno]);
+ peraggstate->sortstates[setno] = NULL;
+ }
+ }
}
- /* We don't need to ReScanExprContext here; ExecReScan already did it */
+ /*
+ * We don't need to ReScanExprContext the output tuple context here;
+ * ExecReScan already did it. But we do need to reset our per-grouping-set
+ * contexts, which may have transvalues stored in them. (We use rescan
+ * rather than just reset because transfns may have registered callbacks
+ * that need to be run now.)
+ *
+ * Note that with AGG_HASHED, the hash table is allocated in a sub-context
+ * of the aggcontext. This used to be an issue, but now, resetting a
+ * context automatically deletes sub-contexts too.
+ */
+
+ for (setno = 0; setno < numGroupingSets; setno++)
+ {
+ ReScanExprContext(node->aggcontexts[setno]);
+ }
/* Release first tuple of group, if we have made a copy */
if (node->grp_firstTuple != NULL)
heap_freetuple(node->grp_firstTuple);
node->grp_firstTuple = NULL;
}
+ ExecClearTuple(node->ss.ss_ScanTupleSlot);
/* Forget current agg values */
MemSet(econtext->ecxt_aggvalues, 0, sizeof(Datum) * node->numaggs);
MemSet(econtext->ecxt_aggnulls, 0, sizeof(bool) * node->numaggs);
- /*
- * Release all temp storage. Note that with AGG_HASHED, the hash table is
- * allocated in a sub-context of the aggcontext. We're going to rebuild
- * the hash table from scratch, so we need to use
- * MemoryContextResetAndDeleteChildren() to avoid leaking the old hash
- * table's memory context header.
- */
- MemoryContextResetAndDeleteChildren(node->aggcontext);
-
- if (((Agg *) node->ss.ps.plan)->aggstrategy == AGG_HASHED)
+ if (aggnode->aggstrategy == AGG_HASHED)
{
/* Rebuild an empty hash table */
build_hash_table(node);
* Reset the per-group state (in particular, mark transvalues null)
*/
MemSet(node->pergroup, 0,
- sizeof(AggStatePerGroupData) * node->numaggs);
+ sizeof(AggStatePerGroupData) * node->numaggs * numGroupingSets);
+
+ /* reset to phase 0 */
+ initialize_phase(node, 0);
+
+ node->input_done = false;
+ node->projected_set = -1;
}
- /*
- * if chgParam of subnode is not null then plan will be re-scanned by
- * first ExecProcNode.
- */
if (outerPlan->chgParam == NULL)
ExecReScan(outerPlan);
}
* values could conceivably appear in future.)
*
* If aggcontext isn't NULL, the function also stores at *aggcontext the
- * identity of the memory context that aggregate transition values are
- * being stored in.
+ * identity of the memory context that aggregate transition values are being
+ * stored in. Note that the same aggregate call site (flinfo) may be called
+ * interleaved on different transition values in different contexts, so it's
+ * not kosher to cache aggcontext under fn_extra. It is, however, kosher to
+ * cache it in the transvalue itself (for internal-type transvalues).
*/
int
AggCheckCallContext(FunctionCallInfo fcinfo, MemoryContext *aggcontext)
if (fcinfo->context && IsA(fcinfo->context, AggState))
{
if (aggcontext)
- *aggcontext = ((AggState *) fcinfo->context)->aggcontext;
+ {
+ AggState *aggstate = ((AggState *) fcinfo->context);
+ ExprContext *cxt = aggstate->aggcontexts[aggstate->current_set];
+ *aggcontext = cxt->ecxt_per_tuple_memory;
+ }
return AGG_CONTEXT_AGGREGATE;
}
if (fcinfo->context && IsA(fcinfo->context, WindowAggState))
if (fcinfo->context && IsA(fcinfo->context, AggState))
{
AggState *aggstate = (AggState *) fcinfo->context;
+ ExprContext *cxt = aggstate->aggcontexts[aggstate->current_set];
- RegisterExprContextCallback(aggstate->ss.ps.ps_ExprContext, func, arg);
+ RegisterExprContextCallback(cxt, func, arg);
return;
}
top_builddir = ../../..
include $(top_builddir)/src/Makefile.global
-OBJS = ilist.o binaryheap.o hyperloglog.o pairingheap.o rbtree.o stringinfo.o
+OBJS = binaryheap.o bipartite_match.o hyperloglog.o ilist.o pairingheap.o \
+ rbtree.o stringinfo.o
include $(top_srcdir)/src/backend/common.mk
--- /dev/null
+/*-------------------------------------------------------------------------
+ *
+ * bipartite_match.c
+ * Hopcroft-Karp maximum cardinality algorithm for bipartite graphs
+ *
+ * This implementation is based on pseudocode found at:
+ *
+ * http://en.wikipedia.org/w/index.php?title=Hopcroft%E2%80%93Karp_algorithm&oldid=593898016
+ *
+ * Copyright (c) 2015, PostgreSQL Global Development Group
+ *
+ * IDENTIFICATION
+ * src/backend/lib/bipartite_match.c
+ *
+ *-------------------------------------------------------------------------
+ */
+#include "postgres.h"
+
+#include <math.h>
+#include <limits.h>
+
+#include "lib/bipartite_match.h"
+#include "miscadmin.h"
+#include "utils/palloc.h"
+
+static bool hk_breadth_search(BipartiteMatchState *state);
+static bool hk_depth_search(BipartiteMatchState *state, int u, int depth);
+
+/*
+ * Given the size of U and V, where each is indexed 1..size, and an adjacency
+ * list, perform the matching and return the resulting state.
+ */
+BipartiteMatchState *
+BipartiteMatch(int u_size, int v_size, short **adjacency)
+{
+ BipartiteMatchState *state = palloc(sizeof(BipartiteMatchState));
+
+ Assert(u_size < SHRT_MAX);
+ Assert(v_size < SHRT_MAX);
+
+ state->u_size = u_size;
+ state->v_size = v_size;
+ state->matching = 0;
+ state->adjacency = adjacency;
+ state->pair_uv = palloc0((u_size + 1) * sizeof(short));
+ state->pair_vu = palloc0((v_size + 1) * sizeof(short));
+ state->distance = palloc((u_size + 1) * sizeof(float));
+ state->queue = palloc((u_size + 2) * sizeof(short));
+
+ while (hk_breadth_search(state))
+ {
+ int u;
+
+ for (u = 1; u <= u_size; ++u)
+ if (state->pair_uv[u] == 0)
+ if (hk_depth_search(state, u, 1))
+ state->matching++;
+
+ CHECK_FOR_INTERRUPTS(); /* just in case */
+ }
+
+ return state;
+}
+
+/*
+ * Free a state returned by BipartiteMatch, except for the original adjacency
+ * list, which is owned by the caller. This only frees memory, so it's optional.
+ */
+void
+BipartiteMatchFree(BipartiteMatchState *state)
+{
+ /* adjacency matrix is treated as owned by the caller */
+ pfree(state->pair_uv);
+ pfree(state->pair_vu);
+ pfree(state->distance);
+ pfree(state->queue);
+ pfree(state);
+}
+
+static bool
+hk_breadth_search(BipartiteMatchState *state)
+{
+ int usize = state->u_size;
+ short *queue = state->queue;
+ float *distance = state->distance;
+ int qhead = 0; /* we never enqueue any node more than once */
+ int qtail = 0; /* so don't have to worry about wrapping */
+ int u;
+
+ distance[0] = INFINITY;
+
+ for (u = 1; u <= usize; ++u)
+ {
+ if (state->pair_uv[u] == 0)
+ {
+ distance[u] = 0;
+ queue[qhead++] = u;
+ }
+ else
+ distance[u] = INFINITY;
+ }
+
+ while (qtail < qhead)
+ {
+ u = queue[qtail++];
+
+ if (distance[u] < distance[0])
+ {
+ short *u_adj = state->adjacency[u];
+ int i = u_adj ? u_adj[0] : 0;
+
+ for (; i > 0; --i)
+ {
+ int u_next = state->pair_vu[u_adj[i]];
+
+ if (isinf(distance[u_next]))
+ {
+ distance[u_next] = 1 + distance[u];
+ queue[qhead++] = u_next;
+ Assert(qhead <= usize+2);
+ }
+ }
+ }
+ }
+
+ return !isinf(distance[0]);
+}
+
+static bool
+hk_depth_search(BipartiteMatchState *state, int u, int depth)
+{
+ float *distance = state->distance;
+ short *pair_uv = state->pair_uv;
+ short *pair_vu = state->pair_vu;
+ short *u_adj = state->adjacency[u];
+ int i = u_adj ? u_adj[0] : 0;
+
+ if (u == 0)
+ return true;
+
+ if ((depth % 8) == 0)
+ check_stack_depth();
+
+ for (; i > 0; --i)
+ {
+ int v = u_adj[i];
+
+ if (distance[pair_vu[v]] == distance[u] + 1)
+ {
+ if (hk_depth_search(state, pair_vu[v], depth+1))
+ {
+ pair_vu[v] = u;
+ pair_uv[u] = v;
+ return true;
+ }
+ }
+ }
+
+ distance[u] = INFINITY;
+ return false;
+}
COPY_POINTER_FIELD(grpOperators, from->numCols * sizeof(Oid));
}
COPY_SCALAR_FIELD(numGroups);
+ COPY_NODE_FIELD(groupingSets);
+ COPY_NODE_FIELD(chain);
return newnode;
}
return newnode;
}
+/*
+ * _copyGroupingFunc
+ */
+static GroupingFunc *
+_copyGroupingFunc(const GroupingFunc *from)
+{
+ GroupingFunc *newnode = makeNode(GroupingFunc);
+
+ COPY_NODE_FIELD(args);
+ COPY_NODE_FIELD(refs);
+ COPY_NODE_FIELD(cols);
+ COPY_SCALAR_FIELD(agglevelsup);
+ COPY_LOCATION_FIELD(location);
+
+ return newnode;
+}
+
/*
* _copyWindowFunc
*/
return newnode;
}
+static GroupingSet *
+_copyGroupingSet(const GroupingSet *from)
+{
+ GroupingSet *newnode = makeNode(GroupingSet);
+
+ COPY_SCALAR_FIELD(kind);
+ COPY_NODE_FIELD(content);
+ COPY_LOCATION_FIELD(location);
+
+ return newnode;
+}
+
static WindowClause *
_copyWindowClause(const WindowClause *from)
{
COPY_NODE_FIELD(onConflict);
COPY_NODE_FIELD(returningList);
COPY_NODE_FIELD(groupClause);
+ COPY_NODE_FIELD(groupingSets);
COPY_NODE_FIELD(havingQual);
COPY_NODE_FIELD(windowClause);
COPY_NODE_FIELD(distinctClause);
case T_Aggref:
retval = _copyAggref(from);
break;
+ case T_GroupingFunc:
+ retval = _copyGroupingFunc(from);
+ break;
case T_WindowFunc:
retval = _copyWindowFunc(from);
break;
case T_SortGroupClause:
retval = _copySortGroupClause(from);
break;
+ case T_GroupingSet:
+ retval = _copyGroupingSet(from);
+ break;
case T_WindowClause:
retval = _copyWindowClause(from);
break;
return true;
}
+static bool
+_equalGroupingFunc(const GroupingFunc *a, const GroupingFunc *b)
+{
+ COMPARE_NODE_FIELD(args);
+
+ /*
+ * We must not compare the refs or cols field
+ */
+
+ COMPARE_SCALAR_FIELD(agglevelsup);
+ COMPARE_LOCATION_FIELD(location);
+
+ return true;
+}
+
static bool
_equalWindowFunc(const WindowFunc *a, const WindowFunc *b)
{
COMPARE_NODE_FIELD(onConflict);
COMPARE_NODE_FIELD(returningList);
COMPARE_NODE_FIELD(groupClause);
+ COMPARE_NODE_FIELD(groupingSets);
COMPARE_NODE_FIELD(havingQual);
COMPARE_NODE_FIELD(windowClause);
COMPARE_NODE_FIELD(distinctClause);
return true;
}
+static bool
+_equalGroupingSet(const GroupingSet *a, const GroupingSet *b)
+{
+ COMPARE_SCALAR_FIELD(kind);
+ COMPARE_NODE_FIELD(content);
+ COMPARE_LOCATION_FIELD(location);
+
+ return true;
+}
+
static bool
_equalWindowClause(const WindowClause *a, const WindowClause *b)
{
case T_Aggref:
retval = _equalAggref(a, b);
break;
+ case T_GroupingFunc:
+ retval = _equalGroupingFunc(a, b);
+ break;
case T_WindowFunc:
retval = _equalWindowFunc(a, b);
break;
case T_SortGroupClause:
retval = _equalSortGroupClause(a, b);
break;
+ case T_GroupingSet:
+ retval = _equalGroupingSet(a, b);
+ break;
case T_WindowClause:
retval = _equalWindowClause(a, b);
break;
return result;
}
+/*
+ * As list_intersection but operates on lists of integers.
+ */
+List *
+list_intersection_int(const List *list1, const List *list2)
+{
+ List *result;
+ const ListCell *cell;
+
+ if (list1 == NIL || list2 == NIL)
+ return NIL;
+
+ Assert(IsIntegerList(list1));
+ Assert(IsIntegerList(list2));
+
+ result = NIL;
+ foreach(cell, list1)
+ {
+ if (list_member_int(list2, lfirst_int(cell)))
+ result = lappend_int(result, lfirst_int(cell));
+ }
+
+ check_list_invariants(result);
+ return result;
+}
+
/*
* Return a list that contains all the cells in list1 that are not in
* list2. The returned list is freshly allocated via palloc(), but the
n->location = location;
return n;
}
+
+/*
+ * makeGroupingSet
+ *
+ */
+GroupingSet *
+makeGroupingSet(GroupingSetKind kind, List *content, int location)
+{
+ GroupingSet *n = makeNode(GroupingSet);
+
+ n->kind = kind;
+ n->content = content;
+ n->location = location;
+ return n;
+}
case T_Aggref:
type = ((const Aggref *) expr)->aggtype;
break;
+ case T_GroupingFunc:
+ type = INT4OID;
+ break;
case T_WindowFunc:
type = ((const WindowFunc *) expr)->wintype;
break;
case T_Aggref:
coll = ((const Aggref *) expr)->aggcollid;
break;
+ case T_GroupingFunc:
+ coll = InvalidOid;
+ break;
case T_WindowFunc:
coll = ((const WindowFunc *) expr)->wincollid;
break;
case T_Aggref:
((Aggref *) expr)->aggcollid = collation;
break;
+ case T_GroupingFunc:
+ Assert(!OidIsValid(collation));
+ break;
case T_WindowFunc:
((WindowFunc *) expr)->wincollid = collation;
break;
/* function name should always be the first thing */
loc = ((const Aggref *) expr)->location;
break;
+ case T_GroupingFunc:
+ loc = ((const GroupingFunc *) expr)->location;
+ break;
case T_WindowFunc:
/* function name should always be the first thing */
loc = ((const WindowFunc *) expr)->location;
/* XMLSERIALIZE keyword should always be the first thing */
loc = ((const XmlSerialize *) expr)->location;
break;
+ case T_GroupingSet:
+ loc = ((const GroupingSet *) expr)->location;
+ break;
case T_WithClause:
loc = ((const WithClause *) expr)->location;
break;
return true;
}
break;
+ case T_GroupingFunc:
+ {
+ GroupingFunc *grouping = (GroupingFunc *) node;
+
+ if (expression_tree_walker((Node *) grouping->args,
+ walker, context))
+ return true;
+ }
+ break;
case T_WindowFunc:
{
WindowFunc *expr = (WindowFunc *) node;
return (Node *) newnode;
}
break;
+ case T_GroupingFunc:
+ {
+ GroupingFunc *grouping = (GroupingFunc *) node;
+ GroupingFunc *newnode;
+
+ FLATCOPY(newnode, grouping, GroupingFunc);
+ MUTATE(newnode->args, grouping->args, List *);
+
+ /*
+ * We assume here that mutating the arguments does not change
+ * the semantics, i.e. that the arguments are not mutated in a
+ * way that makes them semantically different from their
+ * previously matching expressions in the GROUP BY clause.
+ *
+ * If a mutator somehow wanted to do this, it would have to
+ * handle the refs and cols lists itself as appropriate.
+ */
+ newnode->refs = list_copy(grouping->refs);
+ newnode->cols = list_copy(grouping->cols);
+
+ return (Node *) newnode;
+ }
+ break;
case T_WindowFunc:
{
WindowFunc *wfunc = (WindowFunc *) node;
break;
case T_RangeVar:
return walker(((RangeVar *) node)->alias, context);
+ case T_GroupingFunc:
+ return walker(((GroupingFunc *) node)->args, context);
case T_SubLink:
{
SubLink *sublink = (SubLink *) node;
/* for now, constraints are ignored */
}
break;
+ case T_GroupingSet:
+ return walker(((GroupingSet *) node)->content, context);
case T_LockingClause:
return walker(((LockingClause *) node)->lockedRels, context);
case T_XmlSerialize:
appendStringInfo(str, " %u", node->grpOperators[i]);
WRITE_LONG_FIELD(numGroups);
+
+ WRITE_NODE_FIELD(groupingSets);
+ WRITE_NODE_FIELD(chain);
}
static void
WRITE_LOCATION_FIELD(location);
}
+static void
+_outGroupingFunc(StringInfo str, const GroupingFunc *node)
+{
+ WRITE_NODE_TYPE("GROUPINGFUNC");
+
+ WRITE_NODE_FIELD(args);
+ WRITE_NODE_FIELD(refs);
+ WRITE_NODE_FIELD(cols);
+ WRITE_INT_FIELD(agglevelsup);
+ WRITE_LOCATION_FIELD(location);
+}
+
static void
_outWindowFunc(StringInfo str, const WindowFunc *node)
{
WRITE_NODE_FIELD(onConflict);
WRITE_NODE_FIELD(returningList);
WRITE_NODE_FIELD(groupClause);
+ WRITE_NODE_FIELD(groupingSets);
WRITE_NODE_FIELD(havingQual);
WRITE_NODE_FIELD(windowClause);
WRITE_NODE_FIELD(distinctClause);
WRITE_BOOL_FIELD(hashable);
}
+static void
+_outGroupingSet(StringInfo str, const GroupingSet *node)
+{
+ WRITE_NODE_TYPE("GROUPINGSET");
+
+ WRITE_ENUM_FIELD(kind, GroupingSetKind);
+ WRITE_NODE_FIELD(content);
+ WRITE_LOCATION_FIELD(location);
+}
+
static void
_outWindowClause(StringInfo str, const WindowClause *node)
{
case T_Aggref:
_outAggref(str, obj);
break;
+ case T_GroupingFunc:
+ _outGroupingFunc(str, obj);
+ break;
case T_WindowFunc:
_outWindowFunc(str, obj);
break;
case T_SortGroupClause:
_outSortGroupClause(str, obj);
break;
+ case T_GroupingSet:
+ _outGroupingSet(str, obj);
+ break;
case T_WindowClause:
_outWindowClause(str, obj);
break;
READ_NODE_FIELD(onConflict);
READ_NODE_FIELD(returningList);
READ_NODE_FIELD(groupClause);
+ READ_NODE_FIELD(groupingSets);
READ_NODE_FIELD(havingQual);
READ_NODE_FIELD(windowClause);
READ_NODE_FIELD(distinctClause);
READ_DONE();
}
+/*
+ * _readGroupingSet
+ */
+static GroupingSet *
+_readGroupingSet(void)
+{
+ READ_LOCALS(GroupingSet);
+
+ READ_ENUM_FIELD(kind, GroupingSetKind);
+ READ_NODE_FIELD(content);
+ READ_LOCATION_FIELD(location);
+
+ READ_DONE();
+}
+
/*
* _readWindowClause
*/
READ_DONE();
}
+/*
+ * _readGroupingFunc
+ */
+static GroupingFunc *
+_readGroupingFunc(void)
+{
+ READ_LOCALS(GroupingFunc);
+
+ READ_NODE_FIELD(args);
+ READ_NODE_FIELD(refs);
+ READ_NODE_FIELD(cols);
+ READ_INT_FIELD(agglevelsup);
+ READ_LOCATION_FIELD(location);
+
+ READ_DONE();
+}
+
/*
* _readWindowFunc
*/
return_value = _readWithCheckOption();
else if (MATCH("SORTGROUPCLAUSE", 15))
return_value = _readSortGroupClause();
+ else if (MATCH("GROUPINGSET", 11))
+ return_value = _readGroupingSet();
else if (MATCH("WINDOWCLAUSE", 12))
return_value = _readWindowClause();
else if (MATCH("ROWMARKCLAUSE", 13))
return_value = _readParam();
else if (MATCH("AGGREF", 6))
return_value = _readAggref();
+ else if (MATCH("GROUPINGFUNC", 12))
+ return_value = _readGroupingFunc();
else if (MATCH("WINDOWFUNC", 10))
return_value = _readWindowFunc();
else if (MATCH("ARRAYREF", 8))
*/
if (parse->hasAggs ||
parse->groupClause ||
+ parse->groupingSets ||
parse->havingQual ||
parse->distinctClause ||
parse->sortClause ||
* subquery uses grouping or aggregation, put it in HAVING (since the
* qual really refers to the group-result rows).
*/
- if (subquery->hasAggs || subquery->groupClause || subquery->havingQual)
+ if (subquery->hasAggs || subquery->groupClause || subquery->groupingSets || subquery->havingQual)
subquery->havingQual = make_and_qual(subquery->havingQual, qual);
else
subquery->jointree->quals =
nraw = approximate_joinrel_size(root, sjinfo->syn_righthand);
nunique = estimate_num_groups(root,
sjinfo->semi_rhs_exprs,
- nraw);
+ nraw,
+ NULL);
if (rowcount > nunique)
rowcount = nunique;
}
{
if (query->distinctClause != NIL ||
query->groupClause != NIL ||
+ query->groupingSets != NIL ||
query->hasAggs ||
query->havingQual ||
query->setOperations)
}
/*
- * Similarly, GROUP BY guarantees uniqueness if all the grouped columns
- * appear in colnos and operator semantics match.
+ * Similarly, GROUP BY without GROUPING SETS guarantees uniqueness if all
+ * the grouped columns appear in colnos and operator semantics match.
*/
- if (query->groupClause)
+ if (query->groupClause && !query->groupingSets)
{
foreach(l, query->groupClause)
{
if (l == NULL) /* had matches for all? */
return true;
}
+ else if (query->groupingSets)
+ {
+ /*
+ * If we have grouping sets with expressions, we probably
+ * don't have uniqueness and analysis would be hard. Punt.
+ */
+ if (query->groupClause)
+ return false;
+
+ /*
+ * If we have no groupClause (therefore no grouping expressions),
+ * we might have one or many empty grouping sets. If there's just
+ * one, then we're returning only one row and are certainly unique.
+ * But otherwise, we know we're certainly not unique.
+ */
+ if (list_length(query->groupingSets) == 1 &&
+ ((GroupingSet *)linitial(query->groupingSets))->kind == GROUPING_SET_EMPTY)
+ return true;
+ else
+ return false;
+ }
else
{
/*
numGroupCols,
groupColIdx,
groupOperators,
+ NIL,
numGroups,
subplan);
}
make_agg(PlannerInfo *root, List *tlist, List *qual,
AggStrategy aggstrategy, const AggClauseCosts *aggcosts,
int numGroupCols, AttrNumber *grpColIdx, Oid *grpOperators,
+ List *groupingSets,
long numGroups,
Plan *lefttree)
{
* group otherwise.
*/
if (aggstrategy == AGG_PLAIN)
- plan->plan_rows = 1;
+ plan->plan_rows = groupingSets ? list_length(groupingSets) : 1;
else
plan->plan_rows = numGroups;
+ node->groupingSets = groupingSets;
+
/*
* We also need to account for the cost of evaluation of the qual (ie, the
* HAVING clause) and the tlist. Note that cost_qual_eval doesn't charge
plan->qual = qual;
plan->targetlist = tlist;
+
plan->lefttree = lefttree;
plan->righttree = NULL;
* performs assorted processing related to these features between calling
* preprocess_minmax_aggregates and optimize_minmax_aggregates.)
*/
- if (parse->groupClause || parse->hasWindowFuncs)
+ if (parse->groupClause || list_length(parse->groupingSets) > 1 || parse->hasWindowFuncs)
return;
/*
#include "postgres.h"
#include <limits.h>
+#include <math.h>
#include "access/htup_details.h"
#include "executor/executor.h"
#include "executor/nodeAgg.h"
#include "foreign/fdwapi.h"
#include "miscadmin.h"
+#include "lib/bipartite_match.h"
#include "nodes/makefuncs.h"
+#include "nodes/nodeFuncs.h"
#ifdef OPTIMIZER_DEBUG
#include "nodes/print.h"
#endif
#include "optimizer/tlist.h"
#include "parser/analyze.h"
#include "parser/parsetree.h"
+#include "parser/parse_agg.h"
#include "rewrite/rewriteManip.h"
#include "utils/rel.h"
#include "utils/selfuncs.h"
{
List *tlist; /* preprocessed query targetlist */
List *activeWindows; /* active windows, if any */
+ List *groupClause; /* overrides parse->groupClause */
} standard_qp_extra;
/* Local functions */
double tuple_fraction,
int64 *offset_est, int64 *count_est);
static bool limit_needed(Query *parse);
-static void preprocess_groupclause(PlannerInfo *root);
+static List *preprocess_groupclause(PlannerInfo *root, List *force);
+static List *extract_rollup_sets(List *groupingSets);
+static List *reorder_grouping_sets(List *groupingSets, List *sortclause);
static void standard_qp_callback(PlannerInfo *root, void *extra);
static bool choose_hashed_grouping(PlannerInfo *root,
double tuple_fraction, double limit_tuples,
int *ordNumCols,
AttrNumber **ordColIdx,
Oid **ordOperators);
-
+static Plan *build_grouping_chain(PlannerInfo *root,
+ Query *parse,
+ List *tlist,
+ bool need_sort_for_grouping,
+ List *rollup_groupclauses,
+ List *rollup_lists,
+ AttrNumber *groupColIdx,
+ AggClauseCosts *agg_costs,
+ long numGroups,
+ Plan *result_plan);
/*****************************************************************************
*
root->append_rel_list = NIL;
root->rowMarks = NIL;
root->hasInheritedTarget = false;
+ root->grouping_map = NULL;
root->hasRecursion = hasRecursion;
if (hasRecursion)
if (contain_agg_clause(havingclause) ||
contain_volatile_functions(havingclause) ||
- contain_subplans(havingclause))
+ contain_subplans(havingclause) ||
+ parse->groupingSets)
{
/* keep it in HAVING */
newHaving = lappend(newHaving, havingclause);
List *sub_tlist;
AttrNumber *groupColIdx = NULL;
bool need_tlist_eval = true;
- standard_qp_extra qp_extra;
- RelOptInfo *final_rel;
- Path *cheapest_path;
- Path *sorted_path;
- Path *best_path;
long numGroups = 0;
AggClauseCosts agg_costs;
int numGroupCols;
WindowFuncLists *wflists = NULL;
List *activeWindows = NIL;
OnConflictExpr *onconfl;
+ int maxref = 0;
+ int *tleref_to_colnum_map;
+ List *rollup_lists = NIL;
+ List *rollup_groupclauses = NIL;
+ standard_qp_extra qp_extra;
+ RelOptInfo *final_rel;
+ Path *cheapest_path;
+ Path *sorted_path;
+ Path *best_path;
MemSet(&agg_costs, 0, sizeof(AggClauseCosts));
/* A recursive query should always have setOperations */
Assert(!root->hasRecursion);
- /* Preprocess GROUP BY clause, if any */
+ /* Preprocess Grouping set, if any */
+ if (parse->groupingSets)
+ parse->groupingSets = expand_grouping_sets(parse->groupingSets, -1);
+
if (parse->groupClause)
- preprocess_groupclause(root);
+ {
+ ListCell *lc;
+
+ foreach(lc, parse->groupClause)
+ {
+ SortGroupClause *gc = lfirst(lc);
+ if (gc->tleSortGroupRef > maxref)
+ maxref = gc->tleSortGroupRef;
+ }
+ }
+
+ tleref_to_colnum_map = palloc((maxref + 1) * sizeof(int));
+
+ if (parse->groupingSets)
+ {
+ ListCell *lc;
+ ListCell *lc2;
+ ListCell *lc_set;
+ List *sets = extract_rollup_sets(parse->groupingSets);
+
+ foreach(lc_set, sets)
+ {
+ List *current_sets = reorder_grouping_sets(lfirst(lc_set),
+ (list_length(sets) == 1
+ ? parse->sortClause
+ : NIL));
+ List *groupclause = preprocess_groupclause(root, linitial(current_sets));
+ int ref = 0;
+
+ /*
+ * Now that we've pinned down an order for the groupClause for
+ * this list of grouping sets, we need to remap the entries in
+ * the grouping sets from sortgrouprefs to plain indices
+ * (0-based) into the groupClause for this collection of
+ * grouping sets.
+ */
+
+ foreach(lc, groupclause)
+ {
+ SortGroupClause *gc = lfirst(lc);
+ tleref_to_colnum_map[gc->tleSortGroupRef] = ref++;
+ }
+
+ foreach(lc, current_sets)
+ {
+ foreach(lc2, (List *) lfirst(lc))
+ {
+ lfirst_int(lc2) = tleref_to_colnum_map[lfirst_int(lc2)];
+ }
+ }
+
+ rollup_lists = lcons(current_sets, rollup_lists);
+ rollup_groupclauses = lcons(groupclause, rollup_groupclauses);
+ }
+ }
+ else
+ {
+ /* Preprocess GROUP BY clause, if any */
+ if (parse->groupClause)
+ parse->groupClause = preprocess_groupclause(root, NIL);
+ rollup_groupclauses = list_make1(parse->groupClause);
+ }
+
numGroupCols = list_length(parse->groupClause);
/* Preprocess targetlist */
* grouping/aggregation operations.
*/
if (parse->groupClause ||
+ parse->groupingSets ||
parse->distinctClause ||
parse->hasAggs ||
parse->hasWindowFuncs ||
/* Set up data needed by standard_qp_callback */
qp_extra.tlist = tlist;
qp_extra.activeWindows = activeWindows;
+ qp_extra.groupClause = llast(rollup_groupclauses);
/*
* Generate the best unsorted and presorted paths for this Query (but
{
List *groupExprs;
- groupExprs = get_sortgrouplist_exprs(parse->groupClause,
- parse->targetList);
- dNumGroups = estimate_num_groups(root, groupExprs, path_rows);
+ if (parse->groupingSets)
+ {
+ ListCell *lc,
+ *lc2;
+
+ dNumGroups = 0;
+
+ forboth(lc, rollup_groupclauses, lc2, rollup_lists)
+ {
+ ListCell *lc3;
+
+ groupExprs = get_sortgrouplist_exprs(lfirst(lc),
+ parse->targetList);
+
+ foreach(lc3, lfirst(lc2))
+ {
+ List *gset = lfirst(lc3);
+
+ dNumGroups += estimate_num_groups(root,
+ groupExprs,
+ path_rows,
+ &gset);
+ }
+ }
+ }
+ else
+ {
+ groupExprs = get_sortgrouplist_exprs(parse->groupClause,
+ parse->targetList);
+
+ dNumGroups = estimate_num_groups(root, groupExprs, path_rows,
+ NULL);
+ }
/*
* In GROUP BY mode, an absolute LIMIT is relative to the number
if (tuple_fraction >= 1.0)
tuple_fraction /= dNumGroups;
+ /*
+ * If there's more than one grouping set, we'll have to sort the
+ * entire input.
+ */
+ if (list_length(rollup_lists) > 1)
+ tuple_fraction = 0.0;
+
/*
* If both GROUP BY and ORDER BY are specified, we will need two
* levels of sort --- and, therefore, certainly need to read all
root->group_pathkeys))
tuple_fraction = 0.0;
}
- else if (parse->hasAggs || root->hasHavingQual)
+ else if (parse->hasAggs || root->hasHavingQual || parse->groupingSets)
{
/*
* Ungrouped aggregate will certainly want to read all the tuples,
- * and it will deliver a single result row (so leave dNumGroups
- * set to 1).
+ * and it will deliver a single result row per grouping set (or 1
+ * if no grouping sets were explicitly given, in which case leave
+ * dNumGroups as-is)
*/
tuple_fraction = 0.0;
+ if (parse->groupingSets)
+ dNumGroups = list_length(parse->groupingSets);
}
else if (parse->distinctClause)
{
distinctExprs = get_sortgrouplist_exprs(parse->distinctClause,
parse->targetList);
- dNumGroups = estimate_num_groups(root, distinctExprs, path_rows);
+ dNumGroups = estimate_num_groups(root, distinctExprs, path_rows, NULL);
/*
* Adjust tuple_fraction the same way as for GROUP BY, too.
{
/*
* If grouping, decide whether to use sorted or hashed grouping.
+ * If grouping sets are present, we can currently do only sorted
+ * grouping.
*/
- use_hashed_grouping =
- choose_hashed_grouping(root,
- tuple_fraction, limit_tuples,
- path_rows, path_width,
- cheapest_path, sorted_path,
- dNumGroups, &agg_costs);
+
+ if (parse->groupingSets)
+ {
+ use_hashed_grouping = false;
+ }
+ else
+ {
+ use_hashed_grouping =
+ choose_hashed_grouping(root,
+ tuple_fraction, limit_tuples,
+ path_rows, path_width,
+ cheapest_path, sorted_path,
+ dNumGroups, &agg_costs);
+ }
+
/* Also convert # groups to long int --- but 'ware overflow! */
numGroups = (long) Min(dNumGroups, (double) LONG_MAX);
}
/* Detect if we'll need an explicit sort for grouping */
if (parse->groupClause && !use_hashed_grouping &&
- !pathkeys_contained_in(root->group_pathkeys, current_pathkeys))
+ !pathkeys_contained_in(root->group_pathkeys, current_pathkeys))
{
need_sort_for_grouping = true;
groupColIdx);
}
+ /*
+ * groupColIdx is now cast in stone, so record a mapping from
+ * tleSortGroupRef to column index. setrefs.c needs this to
+ * finalize GROUPING() operations.
+ */
+
+ if (parse->groupingSets)
+ {
+ AttrNumber *grouping_map = palloc0(sizeof(AttrNumber) * (maxref + 1));
+ ListCell *lc;
+ int i = 0;
+
+ foreach(lc, parse->groupClause)
+ {
+ SortGroupClause *gc = lfirst(lc);
+ grouping_map[gc->tleSortGroupRef] = groupColIdx[i++];
+ }
+
+ root->grouping_map = grouping_map;
+ }
+
/*
* Insert AGG or GROUP node if needed, plus an explicit sort step
* if necessary.
&agg_costs,
numGroupCols,
groupColIdx,
- extract_grouping_ops(parse->groupClause),
+ extract_grouping_ops(parse->groupClause),
+ NIL,
numGroups,
result_plan);
/* Hashed aggregation produces randomly-ordered results */
current_pathkeys = NIL;
}
- else if (parse->hasAggs)
+ else if (parse->hasAggs || (parse->groupingSets && parse->groupClause))
{
- /* Plain aggregate plan --- sort if needed */
- AggStrategy aggstrategy;
-
- if (parse->groupClause)
- {
- if (need_sort_for_grouping)
- {
- result_plan = (Plan *)
- make_sort_from_groupcols(root,
- parse->groupClause,
- groupColIdx,
- result_plan);
- current_pathkeys = root->group_pathkeys;
- }
- aggstrategy = AGG_SORTED;
-
- /*
- * The AGG node will not change the sort ordering of its
- * groups, so current_pathkeys describes the result too.
- */
- }
+ /*
+ * Output is in sorted order by group_pathkeys if, and only if,
+ * there is a single rollup operation on a non-empty list of
+ * grouping expressions.
+ */
+ if (list_length(rollup_groupclauses) == 1
+ && list_length(linitial(rollup_groupclauses)) > 0)
+ current_pathkeys = root->group_pathkeys;
else
- {
- aggstrategy = AGG_PLAIN;
- /* Result will be only one row anyway; no sort order */
current_pathkeys = NIL;
- }
- result_plan = (Plan *) make_agg(root,
- tlist,
- (List *) parse->havingQual,
- aggstrategy,
- &agg_costs,
- numGroupCols,
- groupColIdx,
- extract_grouping_ops(parse->groupClause),
- numGroups,
- result_plan);
+ result_plan = build_grouping_chain(root,
+ parse,
+ tlist,
+ need_sort_for_grouping,
+ rollup_groupclauses,
+ rollup_lists,
+ groupColIdx,
+ &agg_costs,
+ numGroups,
+ result_plan);
+
+ /*
+ * these are destroyed by build_grouping_chain, so make sure we
+ * don't try and touch them again
+ */
+ rollup_groupclauses = NIL;
+ rollup_lists = NIL;
}
else if (parse->groupClause)
{
result_plan);
/* The Group node won't change sort ordering */
}
- else if (root->hasHavingQual)
+ else if (root->hasHavingQual || parse->groupingSets)
{
+ int nrows = list_length(parse->groupingSets);
+
/*
- * No aggregates, and no GROUP BY, but we have a HAVING qual.
+ * No aggregates, and no GROUP BY, but we have a HAVING qual or
+ * grouping sets (which by elimination of cases above must
+ * consist solely of empty grouping sets, since otherwise
+ * groupClause will be non-empty).
+ *
* This is a degenerate case in which we are supposed to emit
- * either 0 or 1 row depending on whether HAVING succeeds.
- * Furthermore, there cannot be any variables in either HAVING
- * or the targetlist, so we actually do not need the FROM
- * table at all! We can just throw away the plan-so-far and
- * generate a Result node. This is a sufficiently unusual
- * corner case that it's not worth contorting the structure of
- * this routine to avoid having to generate the plan in the
- * first place.
+ * either 0 or 1 row for each grouping set depending on whether
+ * HAVING succeeds. Furthermore, there cannot be any variables
+ * in either HAVING or the targetlist, so we actually do not
+ * need the FROM table at all! We can just throw away the
+ * plan-so-far and generate a Result node. This is a
+ * sufficiently unusual corner case that it's not worth
+ * contorting the structure of this routine to avoid having to
+ * generate the plan in the first place.
*/
result_plan = (Plan *) make_result(root,
tlist,
parse->havingQual,
NULL);
+
+ /*
+ * Doesn't seem worthwhile writing code to cons up a
+ * generate_series or a values scan to emit multiple rows.
+ * Instead just clone the result in an Append.
+ */
+ if (nrows > 1)
+ {
+ List *plans = list_make1(result_plan);
+
+ while (--nrows > 0)
+ plans = lappend(plans, copyObject(result_plan));
+
+ result_plan = (Plan *) make_append(plans, tlist);
+ }
}
} /* end of non-minmax-aggregate case */
* result was already mostly unique). If not, use the number of
* distinct-groups calculated previously.
*/
- if (parse->groupClause || root->hasHavingQual || parse->hasAggs)
+ if (parse->groupClause || parse->groupingSets || root->hasHavingQual || parse->hasAggs)
dNumDistinctRows = result_plan->plan_rows;
else
dNumDistinctRows = dNumGroups;
extract_grouping_cols(parse->distinctClause,
result_plan->targetlist),
extract_grouping_ops(parse->distinctClause),
+ NIL,
numDistinctRows,
result_plan);
/* Hashed aggregation produces randomly-ordered results */
return result_plan;
}
+
+/*
+ * Given a groupclause for a collection of grouping sets, produce the
+ * corresponding groupColIdx.
+ *
+ * root->grouping_map maps the tleSortGroupRef to the actual column position in
+ * the input tuple. So we get the ref from the entries in the groupclause and
+ * look them up there.
+ */
+static AttrNumber *
+remap_groupColIdx(PlannerInfo *root, List *groupClause)
+{
+ AttrNumber *grouping_map = root->grouping_map;
+ AttrNumber *new_grpColIdx;
+ ListCell *lc;
+ int i;
+
+ Assert(grouping_map);
+
+ new_grpColIdx = palloc0(sizeof(AttrNumber) * list_length(groupClause));
+
+ i = 0;
+ foreach(lc, groupClause)
+ {
+ SortGroupClause *clause = lfirst(lc);
+ new_grpColIdx[i++] = grouping_map[clause->tleSortGroupRef];
+ }
+
+ return new_grpColIdx;
+}
+
+/*
+ * Build Agg and Sort nodes to implement sorted grouping with one or more
+ * grouping sets. (A plain GROUP BY or just the presence of aggregates counts
+ * for this purpose as a single grouping set; the calling code is responsible
+ * for providing a non-empty rollup_groupclauses list for such cases, though
+ * rollup_lists may be null.)
+ *
+ * The last entry in rollup_groupclauses (which is the one the input is sorted
+ * on, if at all) is the one used for the returned Agg node. Any additional
+ * rollups are attached, with corresponding sort info, to subsidiary Agg and
+ * Sort nodes attached to the side of the real Agg node; these nodes don't
+ * participate in the plan directly, but they are both a convenient way to
+ * represent the required data and a convenient way to account for the costs
+ * of execution.
+ *
+ * rollup_groupclauses and rollup_lists are destroyed by this function.
+ */
+static Plan *
+build_grouping_chain(PlannerInfo *root,
+ Query *parse,
+ List *tlist,
+ bool need_sort_for_grouping,
+ List *rollup_groupclauses,
+ List *rollup_lists,
+ AttrNumber *groupColIdx,
+ AggClauseCosts *agg_costs,
+ long numGroups,
+ Plan *result_plan)
+{
+ AttrNumber *top_grpColIdx = groupColIdx;
+ List *chain = NIL;
+
+ /*
+ * Prepare the grpColIdx for the real Agg node first, because we may need
+ * it for sorting
+ */
+ if (list_length(rollup_groupclauses) > 1)
+ {
+ Assert(rollup_lists && llast(rollup_lists));
+
+ top_grpColIdx =
+ remap_groupColIdx(root, llast(rollup_groupclauses));
+ }
+
+ /*
+ * If we need a Sort operation on the input, generate that.
+ */
+ if (need_sort_for_grouping)
+ {
+ result_plan = (Plan *)
+ make_sort_from_groupcols(root,
+ llast(rollup_groupclauses),
+ top_grpColIdx,
+ result_plan);
+ }
+
+ /*
+ * Generate the side nodes that describe the other sort and group
+ * operations besides the top one.
+ */
+ while (list_length(rollup_groupclauses) > 1)
+ {
+ List *groupClause = linitial(rollup_groupclauses);
+ List *gsets = linitial(rollup_lists);
+ AttrNumber *new_grpColIdx;
+ Plan *sort_plan;
+ Plan *agg_plan;
+
+ Assert(groupClause);
+ Assert(gsets);
+
+ new_grpColIdx = remap_groupColIdx(root, groupClause);
+
+ sort_plan = (Plan *)
+ make_sort_from_groupcols(root,
+ groupClause,
+ new_grpColIdx,
+ result_plan);
+
+ /*
+ * sort_plan includes the cost of result_plan over again, which is not
+ * what we want (since it's not actually running that plan). So correct
+ * the cost figures.
+ */
+
+ sort_plan->startup_cost -= result_plan->total_cost;
+ sort_plan->total_cost -= result_plan->total_cost;
+
+ agg_plan = (Plan *) make_agg(root,
+ tlist,
+ (List *) parse->havingQual,
+ AGG_SORTED,
+ agg_costs,
+ list_length(linitial(gsets)),
+ new_grpColIdx,
+ extract_grouping_ops(groupClause),
+ gsets,
+ numGroups,
+ sort_plan);
+
+ sort_plan->lefttree = NULL;
+
+ chain = lappend(chain, agg_plan);
+
+ if (rollup_lists)
+ rollup_lists = list_delete_first(rollup_lists);
+
+ rollup_groupclauses = list_delete_first(rollup_groupclauses);
+ }
+
+ /*
+ * Now make the final Agg node
+ */
+ {
+ List *groupClause = linitial(rollup_groupclauses);
+ List *gsets = rollup_lists ? linitial(rollup_lists) : NIL;
+ int numGroupCols;
+ ListCell *lc;
+
+ if (gsets)
+ numGroupCols = list_length(linitial(gsets));
+ else
+ numGroupCols = list_length(parse->groupClause);
+
+ result_plan = (Plan *) make_agg(root,
+ tlist,
+ (List *) parse->havingQual,
+ (numGroupCols > 0) ? AGG_SORTED : AGG_PLAIN,
+ agg_costs,
+ numGroupCols,
+ top_grpColIdx,
+ extract_grouping_ops(groupClause),
+ gsets,
+ numGroups,
+ result_plan);
+
+ ((Agg *) result_plan)->chain = chain;
+
+ /*
+ * Add the additional costs. But only the total costs count, since the
+ * additional sorts aren't run on startup.
+ */
+ foreach(lc, chain)
+ {
+ Plan *subplan = lfirst(lc);
+
+ result_plan->total_cost += subplan->total_cost;
+
+ /*
+ * Nuke stuff we don't need to avoid bloating debug output.
+ */
+
+ subplan->targetlist = NIL;
+ subplan->qual = NIL;
+ subplan->lefttree->targetlist = NIL;
+ }
+ }
+
+ return result_plan;
+}
+
/*
* add_tlist_costs_to_plan
*
*
* Note: we need no comparable processing of the distinctClause because
* the parser already enforced that that matches ORDER BY.
+ *
+ * For grouping sets, the order of items is instead forced to agree with that
+ * of the grouping set (and items not in the grouping set are skipped). The
+ * work of sorting the order of grouping set elements to match the ORDER BY if
+ * possible is done elsewhere.
*/
-static void
-preprocess_groupclause(PlannerInfo *root)
+static List *
+preprocess_groupclause(PlannerInfo *root, List *force)
{
Query *parse = root->parse;
- List *new_groupclause;
+ List *new_groupclause = NIL;
bool partial_match;
ListCell *sl;
ListCell *gl;
+ /* For grouping sets, we need to force the ordering */
+ if (force)
+ {
+ foreach(sl, force)
+ {
+ Index ref = lfirst_int(sl);
+ SortGroupClause *cl = get_sortgroupref_clause(ref, parse->groupClause);
+
+ new_groupclause = lappend(new_groupclause, cl);
+ }
+
+ return new_groupclause;
+ }
+
/* If no ORDER BY, nothing useful to do here */
if (parse->sortClause == NIL)
- return;
+ return parse->groupClause;
/*
* Scan the ORDER BY clause and construct a list of matching GROUP BY
*
* This code assumes that the sortClause contains no duplicate items.
*/
- new_groupclause = NIL;
foreach(sl, parse->sortClause)
{
SortGroupClause *sc = (SortGroupClause *) lfirst(sl);
/* If no match at all, no point in reordering GROUP BY */
if (new_groupclause == NIL)
- return;
+ return parse->groupClause;
/*
* Add any remaining GROUP BY items to the new list, but only if we were
if (list_member_ptr(new_groupclause, gc))
continue; /* it matched an ORDER BY item */
if (partial_match)
- return; /* give up, no common sort possible */
+ return parse->groupClause; /* give up, no common sort possible */
if (!OidIsValid(gc->sortop))
- return; /* give up, GROUP BY can't be sorted */
+ return parse->groupClause; /* give up, GROUP BY can't be sorted */
new_groupclause = lappend(new_groupclause, gc);
}
/* Success --- install the rearranged GROUP BY list */
Assert(list_length(parse->groupClause) == list_length(new_groupclause));
- parse->groupClause = new_groupclause;
+ return new_groupclause;
+}
+
+/*
+ * Extract lists of grouping sets that can be implemented using a single
+ * rollup-type aggregate pass each. Returns a list of lists of grouping sets.
+ *
+ * Input must be sorted with smallest sets first. Result has each sublist
+ * sorted with smallest sets first.
+ *
+ * We want to produce the absolute minimum possible number of lists here to
+ * avoid excess sorts. Fortunately, there is an algorithm for this; the problem
+ * of finding the minimal partition of a partially-ordered set into chains
+ * (which is what we need, taking the list of grouping sets as a poset ordered
+ * by set inclusion) can be mapped to the problem of finding the maximum
+ * cardinality matching on a bipartite graph, which is solvable in polynomial
+ * time with a worst case of no worse than O(n^2.5) and usually much
+ * better. Since our N is at most 4096, we don't need to consider fallbacks to
+ * heuristic or approximate methods. (Planning time for a 12-d cube is under
+ * half a second on my modest system even with optimization off and assertions
+ * on.)
+ */
+static List *
+extract_rollup_sets(List *groupingSets)
+{
+ int num_sets_raw = list_length(groupingSets);
+ int num_empty = 0;
+ int num_sets = 0; /* distinct sets */
+ int num_chains = 0;
+ List *result = NIL;
+ List **results;
+ List **orig_sets;
+ Bitmapset **set_masks;
+ int *chains;
+ short **adjacency;
+ short *adjacency_buf;
+ BipartiteMatchState *state;
+ int i;
+ int j;
+ int j_size;
+ ListCell *lc1 = list_head(groupingSets);
+ ListCell *lc;
+
+ /*
+ * Start by stripping out empty sets. The algorithm doesn't require this,
+ * but the planner currently needs all empty sets to be returned in the
+ * first list, so we strip them here and add them back after.
+ */
+ while (lc1 && lfirst(lc1) == NIL)
+ {
+ ++num_empty;
+ lc1 = lnext(lc1);
+ }
+
+ /* bail out now if it turns out that all we had were empty sets. */
+ if (!lc1)
+ return list_make1(groupingSets);
+
+ /*
+ * We don't strictly need to remove duplicate sets here, but if we
+ * don't, they tend to become scattered through the result, which is
+ * a bit confusing (and irritating if we ever decide to optimize them
+ * out). So we remove them here and add them back after.
+ *
+ * For each non-duplicate set, we fill in the following:
+ *
+ * orig_sets[i] = list of the original set lists
+ * set_masks[i] = bitmapset for testing inclusion
+ * adjacency[i] = array [n, v1, v2, ... vn] of adjacency indices
+ *
+ * chains[i] will be the result group this set is assigned to.
+ *
+ * We index all of these from 1 rather than 0 because it is convenient
+ * to leave 0 free for the NIL node in the graph algorithm.
+ */
+ orig_sets = palloc0((num_sets_raw + 1) * sizeof(List*));
+ set_masks = palloc0((num_sets_raw + 1) * sizeof(Bitmapset *));
+ adjacency = palloc0((num_sets_raw + 1) * sizeof(short *));
+ adjacency_buf = palloc((num_sets_raw + 1) * sizeof(short));
+
+ j_size = 0;
+ j = 0;
+ i = 1;
+
+ for_each_cell(lc, lc1)
+ {
+ List *candidate = lfirst(lc);
+ Bitmapset *candidate_set = NULL;
+ ListCell *lc2;
+ int dup_of = 0;
+
+ foreach(lc2, candidate)
+ {
+ candidate_set = bms_add_member(candidate_set, lfirst_int(lc2));
+ }
+
+ /* we can only be a dup if we're the same length as a previous set */
+ if (j_size == list_length(candidate))
+ {
+ int k;
+ for (k = j; k < i; ++k)
+ {
+ if (bms_equal(set_masks[k], candidate_set))
+ {
+ dup_of = k;
+ break;
+ }
+ }
+ }
+ else if (j_size < list_length(candidate))
+ {
+ j_size = list_length(candidate);
+ j = i;
+ }
+
+ if (dup_of > 0)
+ {
+ orig_sets[dup_of] = lappend(orig_sets[dup_of], candidate);
+ bms_free(candidate_set);
+ }
+ else
+ {
+ int k;
+ int n_adj = 0;
+
+ orig_sets[i] = list_make1(candidate);
+ set_masks[i] = candidate_set;
+
+ /* fill in adjacency list; no need to compare equal-size sets */
+
+ for (k = j - 1; k > 0; --k)
+ {
+ if (bms_is_subset(set_masks[k], candidate_set))
+ adjacency_buf[++n_adj] = k;
+ }
+
+ if (n_adj > 0)
+ {
+ adjacency_buf[0] = n_adj;
+ adjacency[i] = palloc((n_adj + 1) * sizeof(short));
+ memcpy(adjacency[i], adjacency_buf, (n_adj + 1) * sizeof(short));
+ }
+ else
+ adjacency[i] = NULL;
+
+ ++i;
+ }
+ }
+
+ num_sets = i - 1;
+
+ /*
+ * Apply the graph matching algorithm to do the work.
+ */
+ state = BipartiteMatch(num_sets, num_sets, adjacency);
+
+ /*
+ * Now, the state->pair* fields have the info we need to assign sets to
+ * chains. Two sets (u,v) belong to the same chain if pair_uv[u] = v or
+ * pair_vu[v] = u (both will be true, but we check both so that we can do
+ * it in one pass)
+ */
+ chains = palloc0((num_sets + 1) * sizeof(int));
+
+ for (i = 1; i <= num_sets; ++i)
+ {
+ int u = state->pair_vu[i];
+ int v = state->pair_uv[i];
+
+ if (u > 0 && u < i)
+ chains[i] = chains[u];
+ else if (v > 0 && v < i)
+ chains[i] = chains[v];
+ else
+ chains[i] = ++num_chains;
+ }
+
+ /* build result lists. */
+ results = palloc0((num_chains + 1) * sizeof(List*));
+
+ for (i = 1; i <= num_sets; ++i)
+ {
+ int c = chains[i];
+
+ Assert(c > 0);
+
+ results[c] = list_concat(results[c], orig_sets[i]);
+ }
+
+ /* push any empty sets back on the first list. */
+ while (num_empty-- > 0)
+ results[1] = lcons(NIL, results[1]);
+
+ /* make result list */
+ for (i = 1; i <= num_chains; ++i)
+ result = lappend(result, results[i]);
+
+ /*
+ * Free all the things.
+ *
+ * (This is over-fussy for small sets but for large sets we could have
+ * tied up a nontrivial amount of memory.)
+ */
+ BipartiteMatchFree(state);
+ pfree(results);
+ pfree(chains);
+ for (i = 1; i <= num_sets; ++i)
+ if (adjacency[i])
+ pfree(adjacency[i]);
+ pfree(adjacency);
+ pfree(adjacency_buf);
+ pfree(orig_sets);
+ for (i = 1; i <= num_sets; ++i)
+ bms_free(set_masks[i]);
+ pfree(set_masks);
+
+ return result;
+}
+
+/*
+ * Reorder the elements of a list of grouping sets such that they have correct
+ * prefix relationships.
+ *
+ * The input must be ordered with smallest sets first; the result is returned
+ * with largest sets first.
+ *
+ * If we're passed in a sortclause, we follow its order of columns to the
+ * extent possible, to minimize the chance that we add unnecessary sorts.
+ * (We're trying here to ensure that GROUPING SETS ((a,b,c),(c)) ORDER BY c,b,a
+ * gets implemented in one pass.)
+ */
+static List *
+reorder_grouping_sets(List *groupingsets, List *sortclause)
+{
+ ListCell *lc;
+ ListCell *lc2;
+ List *previous = NIL;
+ List *result = NIL;
+
+ foreach(lc, groupingsets)
+ {
+ List *candidate = lfirst(lc);
+ List *new_elems = list_difference_int(candidate, previous);
+
+ if (list_length(new_elems) > 0)
+ {
+ while (list_length(sortclause) > list_length(previous))
+ {
+ SortGroupClause *sc = list_nth(sortclause, list_length(previous));
+ int ref = sc->tleSortGroupRef;
+ if (list_member_int(new_elems, ref))
+ {
+ previous = lappend_int(previous, ref);
+ new_elems = list_delete_int(new_elems, ref);
+ }
+ else
+ {
+ /* diverged from the sortclause; give up on it */
+ sortclause = NIL;
+ break;
+ }
+ }
+
+ foreach(lc2, new_elems)
+ {
+ previous = lappend_int(previous, lfirst_int(lc2));
+ }
+ }
+
+ result = lcons(list_copy(previous), result);
+ list_free(new_elems);
+ }
+
+ list_free(previous);
+
+ return result;
}
/*
* sortClause is certainly sort-able, but GROUP BY and DISTINCT might not
* be, in which case we just leave their pathkeys empty.
*/
- if (parse->groupClause &&
- grouping_is_sortable(parse->groupClause))
+ if (qp_extra->groupClause &&
+ grouping_is_sortable(qp_extra->groupClause))
root->group_pathkeys =
make_pathkeys_for_sortclauses(root,
- parse->groupClause,
+ qp_extra->groupClause,
tlist);
else
root->group_pathkeys = NIL;
* If we're not grouping or aggregating, there's nothing to do here;
* query_planner should receive the unmodified target list.
*/
- if (!parse->hasAggs && !parse->groupClause && !root->hasHavingQual &&
+ if (!parse->hasAggs && !parse->groupClause && !parse->groupingSets && !root->hasHavingQual &&
!parse->hasWindowFuncs)
{
*need_tlist_eval = true;
static bool extract_query_dependencies_walker(Node *node,
PlannerInfo *context);
-
/*****************************************************************************
*
* SUBPLAN REFERENCES
}
break;
case T_Agg:
+ set_upper_references(root, plan, rtoffset);
+ break;
case T_Group:
set_upper_references(root, plan, rtoffset);
break;
* We must look up operator opcode info for OpExpr and related nodes,
* add OIDs from regclass Const nodes into root->glob->relationOids, and
* add catalog TIDs for user-defined functions into root->glob->invalItems.
+ * We also fill in column index lists for GROUPING() expressions.
*
* We assume it's okay to update opcode info in-place. So this could possibly
* scribble on the planner's input data structures, but it's OK.
lappend_oid(root->glob->relationOids,
DatumGetObjectId(con->constvalue));
}
+ else if (IsA(node, GroupingFunc))
+ {
+ GroupingFunc *g = (GroupingFunc *) node;
+ AttrNumber *grouping_map = root->grouping_map;
+
+ /* If there are no grouping sets, we don't need this. */
+
+ Assert(grouping_map || g->cols == NIL);
+
+ if (grouping_map)
+ {
+ ListCell *lc;
+ List *cols = NIL;
+
+ foreach(lc, g->refs)
+ {
+ cols = lappend_int(cols, grouping_map[lfirst_int(lc)]);
+ }
+
+ Assert(!g->cols || equal(cols, g->cols));
+
+ if (!g->cols)
+ g->cols = cols;
+ }
+ }
}
/*
return rlist;
}
+
/*****************************************************************************
* OPERATOR REGPROC LOOKUP
*****************************************************************************/
return retval;
}
+/*
+ * Generate a Param node to replace the given GroupingFunc expression which is
+ * expected to have agglevelsup > 0 (ie, it is not local).
+ */
+static Param *
+replace_outer_grouping(PlannerInfo *root, GroupingFunc *grp)
+{
+ Param *retval;
+ PlannerParamItem *pitem;
+ Index levelsup;
+
+ Assert(grp->agglevelsup > 0 && grp->agglevelsup < root->query_level);
+
+ /* Find the query level the GroupingFunc belongs to */
+ for (levelsup = grp->agglevelsup; levelsup > 0; levelsup--)
+ root = root->parent_root;
+
+ /*
+ * It does not seem worthwhile to try to match duplicate outer aggs. Just
+ * make a new slot every time.
+ */
+ grp = (GroupingFunc *) copyObject(grp);
+ IncrementVarSublevelsUp((Node *) grp, -((int) grp->agglevelsup), 0);
+ Assert(grp->agglevelsup == 0);
+
+ pitem = makeNode(PlannerParamItem);
+ pitem->item = (Node *) grp;
+ pitem->paramId = root->glob->nParamExec++;
+
+ root->plan_params = lappend(root->plan_params, pitem);
+
+ retval = makeNode(Param);
+ retval->paramkind = PARAM_EXEC;
+ retval->paramid = pitem->paramId;
+ retval->paramtype = exprType((Node *) grp);
+ retval->paramtypmod = -1;
+ retval->paramcollid = InvalidOid;
+ retval->location = grp->location;
+
+ return retval;
+}
+
/*
* Generate a new Param node that will not conflict with any other.
*
{
/*
* We don't try to simplify at all if the query uses set operations,
- * aggregates, modifying CTEs, HAVING, OFFSET, or FOR UPDATE/SHARE; none
- * of these seem likely in normal usage and their possible effects are
- * complex. (Note: we could ignore an "OFFSET 0" clause, but that
- * traditionally is used as an optimization fence, so we don't.)
+ * aggregates, grouping sets, modifying CTEs, HAVING, OFFSET, or FOR
+ * UPDATE/SHARE; none of these seem likely in normal usage and their
+ * possible effects are complex. (Note: we could ignore an "OFFSET 0"
+ * clause, but that traditionally is used as an optimization fence, so we
+ * don't.)
*/
if (query->commandType != CMD_SELECT ||
query->setOperations ||
query->hasAggs ||
+ query->groupingSets ||
query->hasWindowFuncs ||
query->hasModifyingCTE ||
query->havingQual ||
if (((Aggref *) node)->agglevelsup > 0)
return (Node *) replace_outer_agg(root, (Aggref *) node);
}
+ if (IsA(node, GroupingFunc))
+ {
+ if (((GroupingFunc *) node)->agglevelsup > 0)
+ return (Node *) replace_outer_grouping(root, (GroupingFunc *) node);
+ }
return expression_tree_mutator(node,
replace_correlation_vars_mutator,
(void *) root);
if (subquery->hasAggs ||
subquery->hasWindowFuncs ||
subquery->groupClause ||
+ subquery->groupingSets ||
subquery->havingQual ||
subquery->sortClause ||
subquery->distinctClause ||
*/
if (pNumGroups)
{
- if (subquery->groupClause || subquery->distinctClause ||
+ if (subquery->groupClause || subquery->groupingSets ||
+ subquery->distinctClause ||
subroot->hasHavingQual || subquery->hasAggs)
*pNumGroups = subplan->plan_rows;
else
*pNumGroups = estimate_num_groups(subroot,
get_tlist_exprs(subquery->targetList, false),
- subplan->plan_rows);
+ subplan->plan_rows,
+ NULL);
}
/*
extract_grouping_cols(groupList,
plan->targetlist),
extract_grouping_ops(groupList),
+ NIL,
numGroups,
plan);
/* Hashed aggregation produces randomly-ordered results */
querytree->jointree->fromlist ||
querytree->jointree->quals ||
querytree->groupClause ||
+ querytree->groupingSets ||
querytree->havingQual ||
querytree->windowClause ||
querytree->distinctClause ||
/* Estimate number of output rows */
pathnode->path.rows = estimate_num_groups(root,
sjinfo->semi_rhs_exprs,
- rel->rows);
+ rel->rows,
+ NULL);
numCols = list_length(sjinfo->semi_rhs_exprs);
if (sjinfo->semi_can_btree)
* functions just above, and they don't seem to deserve their own file.
*****************************************************************************/
+/*
+ * get_sortgroupref_clause
+ * Find the SortGroupClause matching the given SortGroupRef index,
+ * and return it.
+ */
+SortGroupClause *
+get_sortgroupref_clause(Index sortref, List *clauses)
+{
+ ListCell *l;
+
+ foreach(l, clauses)
+ {
+ SortGroupClause *cl = (SortGroupClause *) lfirst(l);
+
+ if (cl->tleSortGroupRef == sortref)
+ return cl;
+ }
+
+ elog(ERROR, "ORDER/GROUP BY expression not found in list");
+ return NULL; /* keep compiler quiet */
+}
+
/*
* extract_grouping_ops - make an array of the equality operator OIDs
* for a SortGroupClause list
break;
}
}
+ else if (IsA(node, GroupingFunc))
+ {
+ if (((GroupingFunc *) node)->agglevelsup != 0)
+ elog(ERROR, "Upper-level GROUPING found where not expected");
+ switch (context->aggbehavior)
+ {
+ case PVC_REJECT_AGGREGATES:
+ elog(ERROR, "GROUPING found where not expected");
+ break;
+ case PVC_INCLUDE_AGGREGATES:
+ context->varlist = lappend(context->varlist, node);
+ /* we do NOT descend into the contained expression */
+ return false;
+ case PVC_RECURSE_AGGREGATES:
+ /*
+ * we do NOT descend into the contained expression,
+ * even if the caller asked for it, because we never
+ * actually evaluate it - the result is driven entirely
+ * off the associated GROUP BY clause, so we never need
+ * to extract the actual Vars here.
+ */
+ return false;
+ }
+ }
else if (IsA(node, PlaceHolderVar))
{
if (((PlaceHolderVar *) node)->phlevelsup != 0)
qry->groupClause = transformGroupClause(pstate,
stmt->groupClause,
+ &qry->groupingSets,
&qry->targetList,
qry->sortClause,
EXPR_KIND_GROUP_BY,
qry->hasSubLinks = pstate->p_hasSubLinks;
qry->hasWindowFuncs = pstate->p_hasWindowFuncs;
qry->hasAggs = pstate->p_hasAggs;
- if (pstate->p_hasAggs || qry->groupClause || qry->havingQual)
+ if (pstate->p_hasAggs || qry->groupClause || qry->groupingSets || qry->havingQual)
parseCheckAggregates(pstate, qry);
foreach(l, stmt->lockingClause)
qry->hasSubLinks = pstate->p_hasSubLinks;
qry->hasWindowFuncs = pstate->p_hasWindowFuncs;
qry->hasAggs = pstate->p_hasAggs;
- if (pstate->p_hasAggs || qry->groupClause || qry->havingQual)
+ if (pstate->p_hasAggs || qry->groupClause || qry->groupingSets || qry->havingQual)
parseCheckAggregates(pstate, qry);
foreach(l, lockingClause)
relation_expr_list dostmt_opt_list
transform_element_list transform_type_list
+%type <list> group_by_list
+%type <node> group_by_item empty_grouping_set rollup_clause cube_clause
+%type <node> grouping_sets_clause
+
%type <list> opt_fdw_options fdw_options
%type <defelt> fdw_option
%type <list> ExclusionConstraintList ExclusionConstraintElem
%type <list> func_arg_list
%type <node> func_arg_expr
-%type <list> row type_list array_expr_list
+%type <list> row explicit_row implicit_row type_list array_expr_list
%type <node> case_expr case_arg when_clause case_default
%type <list> when_clause_list
%type <ival> sub_type
CLUSTER COALESCE COLLATE COLLATION COLUMN COMMENT COMMENTS COMMIT
COMMITTED CONCURRENTLY CONFIGURATION CONFLICT CONNECTION CONSTRAINT
CONSTRAINTS CONTENT_P CONTINUE_P CONVERSION_P COPY COST CREATE
- CROSS CSV CURRENT_P
+ CROSS CSV CUBE CURRENT_P
CURRENT_CATALOG CURRENT_DATE CURRENT_ROLE CURRENT_SCHEMA
CURRENT_TIME CURRENT_TIMESTAMP CURRENT_USER CURSOR CYCLE
FALSE_P FAMILY FETCH FILTER FIRST_P FLOAT_P FOLLOWING FOR
FORCE FOREIGN FORWARD FREEZE FROM FULL FUNCTION FUNCTIONS
- GLOBAL GRANT GRANTED GREATEST GROUP_P
+ GLOBAL GRANT GRANTED GREATEST GROUP_P GROUPING
HANDLER HAVING HEADER_P HOLD HOUR_P
RANGE READ REAL REASSIGN RECHECK RECURSIVE REF REFERENCES REFRESH REINDEX
RELATIVE_P RELEASE RENAME REPEATABLE REPLACE REPLICA
- RESET RESTART RESTRICT RETURNING RETURNS REVOKE RIGHT ROLE ROLLBACK
+ RESET RESTART RESTRICT RETURNING RETURNS REVOKE RIGHT ROLE ROLLBACK ROLLUP
ROW ROWS RULE
SAVEPOINT SCHEMA SCROLL SEARCH SECOND_P SECURITY SELECT SEQUENCE SEQUENCES
- SERIALIZABLE SERVER SESSION SESSION_USER SET SETOF SHARE
- SHOW SIMILAR SIMPLE SKIP SMALLINT SNAPSHOT SOME SQL_P STABLE STANDALONE_P START
+ SERIALIZABLE SERVER SESSION SESSION_USER SET SETS SETOF SHARE SHOW
+ SIMILAR SIMPLE SKIP SMALLINT SNAPSHOT SOME SQL_P STABLE STANDALONE_P START
STATEMENT STATISTICS STDIN STDOUT STORAGE STRICT_P STRIP_P SUBSTRING
SYMMETRIC SYSID SYSTEM_P
* and for NULL so that it can follow b_expr in ColQualList without creating
* postfix-operator problems.
*
+ * To support CUBE and ROLLUP in GROUP BY without reserving them, we give them
+ * an explicit priority lower than '(', so that a rule with CUBE '(' will shift
+ * rather than reducing a conflicting rule that takes CUBE as a function name.
+ * Using the same precedence as IDENT seems right for the reasons given above.
+ *
* The frame_bound productions UNBOUNDED PRECEDING and UNBOUNDED FOLLOWING
* are even messier: since UNBOUNDED is an unreserved keyword (per spec!),
* there is no principled way to distinguish these from the productions
* blame any funny behavior of UNBOUNDED on the SQL standard, though.
*/
%nonassoc UNBOUNDED /* ideally should have same precedence as IDENT */
-%nonassoc IDENT NULL_P PARTITION RANGE ROWS PRECEDING FOLLOWING
+%nonassoc IDENT NULL_P PARTITION RANGE ROWS PRECEDING FOLLOWING CUBE ROLLUP
%left Op OPERATOR /* multi-character ops and user-defined operators */
%left '+' '-'
%left '*' '/' '%'
;
+/*
+ * This syntax for group_clause tries to follow the spec quite closely.
+ * However, the spec allows only column references, not expressions,
+ * which introduces an ambiguity between implicit row constructors
+ * (a,b) and lists of column references.
+ *
+ * We handle this by using the a_expr production for what the spec calls
+ * <ordinary grouping set>, which in the spec represents either one column
+ * reference or a parenthesized list of column references. Then, we check the
+ * top node of the a_expr to see if it's an implicit RowExpr, and if so, just
+ * grab and use the list, discarding the node. (this is done in parse analysis,
+ * not here)
+ *
+ * (we abuse the row_format field of RowExpr to distinguish implicit and
+ * explicit row constructors; it's debatable if anyone sanely wants to use them
+ * in a group clause, but if they have a reason to, we make it possible.)
+ *
+ * Each item in the group_clause list is either an expression tree or a
+ * GroupingSet node of some type.
+ */
group_clause:
- GROUP_P BY expr_list { $$ = $3; }
+ GROUP_P BY group_by_list { $$ = $3; }
| /*EMPTY*/ { $$ = NIL; }
;
+group_by_list:
+ group_by_item { $$ = list_make1($1); }
+ | group_by_list ',' group_by_item { $$ = lappend($1,$3); }
+ ;
+
+group_by_item:
+ a_expr { $$ = $1; }
+ | empty_grouping_set { $$ = $1; }
+ | cube_clause { $$ = $1; }
+ | rollup_clause { $$ = $1; }
+ | grouping_sets_clause { $$ = $1; }
+ ;
+
+empty_grouping_set:
+ '(' ')'
+ {
+ $$ = (Node *) makeGroupingSet(GROUPING_SET_EMPTY, NIL, @1);
+ }
+ ;
+
+/*
+ * These hacks rely on setting precedence of CUBE and ROLLUP below that of '(',
+ * so that they shift in these rules rather than reducing the conflicting
+ * unreserved_keyword rule.
+ */
+
+rollup_clause:
+ ROLLUP '(' expr_list ')'
+ {
+ $$ = (Node *) makeGroupingSet(GROUPING_SET_ROLLUP, $3, @1);
+ }
+ ;
+
+cube_clause:
+ CUBE '(' expr_list ')'
+ {
+ $$ = (Node *) makeGroupingSet(GROUPING_SET_CUBE, $3, @1);
+ }
+ ;
+
+grouping_sets_clause:
+ GROUPING SETS '(' group_by_list ')'
+ {
+ $$ = (Node *) makeGroupingSet(GROUPING_SET_SETS, $4, @1);
+ }
+ ;
+
having_clause:
HAVING a_expr { $$ = $2; }
| /*EMPTY*/ { $$ = NULL; }
n->location = @1;
$$ = (Node *)n;
}
- | row
+ | explicit_row
+ {
+ RowExpr *r = makeNode(RowExpr);
+ r->args = $1;
+ r->row_typeid = InvalidOid; /* not analyzed yet */
+ r->colnames = NIL; /* to be filled in during analysis */
+ r->row_format = COERCE_EXPLICIT_CALL; /* abuse */
+ r->location = @1;
+ $$ = (Node *)r;
+ }
+ | implicit_row
{
RowExpr *r = makeNode(RowExpr);
r->args = $1;
r->row_typeid = InvalidOid; /* not analyzed yet */
r->colnames = NIL; /* to be filled in during analysis */
+ r->row_format = COERCE_IMPLICIT_CAST; /* abuse */
r->location = @1;
$$ = (Node *)r;
}
+ | GROUPING '(' expr_list ')'
+ {
+ GroupingFunc *g = makeNode(GroupingFunc);
+ g->args = $3;
+ g->location = @1;
+ $$ = (Node *)g;
+ }
;
func_application: func_name '(' ')'
| '(' expr_list ',' a_expr ')' { $$ = lappend($2, $4); }
;
+explicit_row: ROW '(' expr_list ')' { $$ = $3; }
+ | ROW '(' ')' { $$ = NIL; }
+ ;
+
+implicit_row: '(' expr_list ',' a_expr ')' { $$ = lappend($2, $4); }
+ ;
+
sub_type: ANY { $$ = ANY_SUBLINK; }
| SOME { $$ = ANY_SUBLINK; }
| ALL { $$ = ALL_SUBLINK; }
| COPY
| COST
| CSV
+ | CUBE
| CURRENT_P
| CURSOR
| CYCLE
| REVOKE
| ROLE
| ROLLBACK
+ | ROLLUP
| ROWS
| RULE
| SAVEPOINT
| SERVER
| SESSION
| SET
+ | SETS
| SHARE
| SHOW
| SIMPLE
| EXTRACT
| FLOAT_P
| GREATEST
+ | GROUPING
| INOUT
| INT_P
| INTEGER
{
ParseState *pstate;
Query *qry;
+ PlannerInfo *root;
List *groupClauses;
+ List *groupClauseCommonVars;
bool have_non_var_grouping;
List **func_grouped_rels;
int sublevels_up;
static bool check_agg_arguments_walker(Node *node,
check_agg_arguments_context *context);
static void check_ungrouped_columns(Node *node, ParseState *pstate, Query *qry,
- List *groupClauses, bool have_non_var_grouping,
+ List *groupClauses, List *groupClauseVars,
+ bool have_non_var_grouping,
List **func_grouped_rels);
static bool check_ungrouped_columns_walker(Node *node,
check_ungrouped_columns_context *context);
-
+static void finalize_grouping_exprs(Node *node, ParseState *pstate, Query *qry,
+ List *groupClauses, PlannerInfo *root,
+ bool have_non_var_grouping);
+static bool finalize_grouping_exprs_walker(Node *node,
+ check_ungrouped_columns_context *context);
+static void check_agglevels_and_constraints(ParseState *pstate,Node *expr);
+static List *expand_groupingset_node(GroupingSet *gs);
/*
* transformAggregateCall -
List *tdistinct = NIL;
AttrNumber attno = 1;
int save_next_resno;
- int min_varlevel;
ListCell *lc;
- const char *err;
- bool errkind;
if (AGGKIND_IS_ORDERED_SET(agg->aggkind))
{
agg->aggorder = torder;
agg->aggdistinct = tdistinct;
+ check_agglevels_and_constraints(pstate, (Node *) agg);
+}
+
+/*
+ * transformGroupingFunc
+ * Transform a GROUPING expression
+ *
+ * GROUPING() behaves very like an aggregate. Processing of levels and nesting
+ * is done as for aggregates. We set p_hasAggs for these expressions too.
+ */
+Node *
+transformGroupingFunc(ParseState *pstate, GroupingFunc *p)
+{
+ ListCell *lc;
+ List *args = p->args;
+ List *result_list = NIL;
+ GroupingFunc *result = makeNode(GroupingFunc);
+
+ if (list_length(args) > 31)
+ ereport(ERROR,
+ (errcode(ERRCODE_TOO_MANY_ARGUMENTS),
+ errmsg("GROUPING must have fewer than 32 arguments"),
+ parser_errposition(pstate, p->location)));
+
+ foreach(lc, args)
+ {
+ Node *current_result;
+
+ current_result = transformExpr(pstate, (Node*) lfirst(lc), pstate->p_expr_kind);
+
+ /* acceptability of expressions is checked later */
+
+ result_list = lappend(result_list, current_result);
+ }
+
+ result->args = result_list;
+ result->location = p->location;
+
+ check_agglevels_and_constraints(pstate, (Node *) result);
+
+ return (Node *) result;
+}
+
+/*
+ * Aggregate functions and grouping operations (which are combined in the spec
+ * as <set function specification>) are very similar with regard to level and
+ * nesting restrictions (though we allow a lot more things than the spec does).
+ * Centralise those restrictions here.
+ */
+static void
+check_agglevels_and_constraints(ParseState *pstate, Node *expr)
+{
+ List *directargs = NIL;
+ List *args = NIL;
+ Expr *filter = NULL;
+ int min_varlevel;
+ int location = -1;
+ Index *p_levelsup;
+ const char *err;
+ bool errkind;
+ bool isAgg = IsA(expr, Aggref);
+
+ if (isAgg)
+ {
+ Aggref *agg = (Aggref *) expr;
+
+ directargs = agg->aggdirectargs;
+ args = agg->args;
+ filter = agg->aggfilter;
+ location = agg->location;
+ p_levelsup = &agg->agglevelsup;
+ }
+ else
+ {
+ GroupingFunc *grp = (GroupingFunc *) expr;
+
+ args = grp->args;
+ location = grp->location;
+ p_levelsup = &grp->agglevelsup;
+ }
+
/*
* Check the arguments to compute the aggregate's level and detect
* improper nesting.
*/
min_varlevel = check_agg_arguments(pstate,
- agg->aggdirectargs,
- agg->args,
- agg->aggfilter);
- agg->agglevelsup = min_varlevel;
+ directargs,
+ args,
+ filter);
+
+ *p_levelsup = min_varlevel;
/* Mark the correct pstate level as having aggregates */
while (min_varlevel-- > 0)
Assert(false); /* can't happen */
break;
case EXPR_KIND_OTHER:
- /* Accept aggregate here; caller must throw error if wanted */
+ /* Accept aggregate/grouping here; caller must throw error if wanted */
break;
case EXPR_KIND_JOIN_ON:
case EXPR_KIND_JOIN_USING:
- err = _("aggregate functions are not allowed in JOIN conditions");
+ if (isAgg)
+ err = _("aggregate functions are not allowed in JOIN conditions");
+ else
+ err = _("grouping operations are not allowed in JOIN conditions");
+
break;
case EXPR_KIND_FROM_SUBSELECT:
/* Should only be possible in a LATERAL subquery */
Assert(pstate->p_lateral_active);
- /* Aggregate scope rules make it worth being explicit here */
- err = _("aggregate functions are not allowed in FROM clause of their own query level");
+ /* Aggregate/grouping scope rules make it worth being explicit here */
+ if (isAgg)
+ err = _("aggregate functions are not allowed in FROM clause of their own query level");
+ else
+ err = _("grouping operations are not allowed in FROM clause of their own query level");
+
break;
case EXPR_KIND_FROM_FUNCTION:
- err = _("aggregate functions are not allowed in functions in FROM");
+ if (isAgg)
+ err = _("aggregate functions are not allowed in functions in FROM");
+ else
+ err = _("grouping operations are not allowed in functions in FROM");
+
break;
case EXPR_KIND_WHERE:
errkind = true;
/* okay */
break;
case EXPR_KIND_WINDOW_FRAME_RANGE:
- err = _("aggregate functions are not allowed in window RANGE");
+ if (isAgg)
+ err = _("aggregate functions are not allowed in window RANGE");
+ else
+ err = _("grouping operations are not allowed in window RANGE");
+
break;
case EXPR_KIND_WINDOW_FRAME_ROWS:
- err = _("aggregate functions are not allowed in window ROWS");
+ if (isAgg)
+ err = _("aggregate functions are not allowed in window ROWS");
+ else
+ err = _("grouping operations are not allowed in window ROWS");
+
break;
case EXPR_KIND_SELECT_TARGET:
/* okay */
break;
case EXPR_KIND_CHECK_CONSTRAINT:
case EXPR_KIND_DOMAIN_CHECK:
- err = _("aggregate functions are not allowed in check constraints");
+ if (isAgg)
+ err = _("aggregate functions are not allowed in check constraints");
+ else
+ err = _("grouping operations are not allowed in check constraints");
+
break;
case EXPR_KIND_COLUMN_DEFAULT:
case EXPR_KIND_FUNCTION_DEFAULT:
- err = _("aggregate functions are not allowed in DEFAULT expressions");
+
+ if (isAgg)
+ err = _("aggregate functions are not allowed in DEFAULT expressions");
+ else
+ err = _("grouping operations are not allowed in DEFAULT expressions");
+
break;
case EXPR_KIND_INDEX_EXPRESSION:
- err = _("aggregate functions are not allowed in index expressions");
+ if (isAgg)
+ err = _("aggregate functions are not allowed in index expressions");
+ else
+ err = _("grouping operations are not allowed in index expressions");
+
break;
case EXPR_KIND_INDEX_PREDICATE:
- err = _("aggregate functions are not allowed in index predicates");
+ if (isAgg)
+ err = _("aggregate functions are not allowed in index predicates");
+ else
+ err = _("grouping operations are not allowed in index predicates");
+
break;
case EXPR_KIND_ALTER_COL_TRANSFORM:
- err = _("aggregate functions are not allowed in transform expressions");
+ if (isAgg)
+ err = _("aggregate functions are not allowed in transform expressions");
+ else
+ err = _("grouping operations are not allowed in transform expressions");
+
break;
case EXPR_KIND_EXECUTE_PARAMETER:
- err = _("aggregate functions are not allowed in EXECUTE parameters");
+ if (isAgg)
+ err = _("aggregate functions are not allowed in EXECUTE parameters");
+ else
+ err = _("grouping operations are not allowed in EXECUTE parameters");
+
break;
case EXPR_KIND_TRIGGER_WHEN:
- err = _("aggregate functions are not allowed in trigger WHEN conditions");
+ if (isAgg)
+ err = _("aggregate functions are not allowed in trigger WHEN conditions");
+ else
+ err = _("grouping operations are not allowed in trigger WHEN conditions");
+
break;
/*
* which is sane anyway.
*/
}
+
if (err)
ereport(ERROR,
(errcode(ERRCODE_GROUPING_ERROR),
errmsg_internal("%s", err),
- parser_errposition(pstate, agg->location)));
+ parser_errposition(pstate, location)));
+
if (errkind)
+ {
+ if (isAgg)
+ /* translator: %s is name of a SQL construct, eg GROUP BY */
+ err = _("aggregate functions are not allowed in %s");
+ else
+ /* translator: %s is name of a SQL construct, eg GROUP BY */
+ err = _("grouping operations are not allowed in %s");
+
ereport(ERROR,
(errcode(ERRCODE_GROUPING_ERROR),
- /* translator: %s is name of a SQL construct, eg GROUP BY */
- errmsg("aggregate functions are not allowed in %s",
- ParseExprKindName(pstate->p_expr_kind)),
- parser_errposition(pstate, agg->location)));
+ errmsg_internal(err,
+ ParseExprKindName(pstate->p_expr_kind)),
+ parser_errposition(pstate, location)));
+ }
}
/*
locate_agg_of_level((Node *) directargs,
context.min_agglevel))));
}
-
return agglevel;
}
/* no need to examine args of the inner aggregate */
return false;
}
+ if (IsA(node, GroupingFunc))
+ {
+ int agglevelsup = ((GroupingFunc *) node)->agglevelsup;
+
+ /* convert levelsup to frame of reference of original query */
+ agglevelsup -= context->sublevels_up;
+ /* ignore local aggs of subqueries */
+ if (agglevelsup >= 0)
+ {
+ if (context->min_agglevel < 0 ||
+ context->min_agglevel > agglevelsup)
+ context->min_agglevel = agglevelsup;
+ }
+ /* Continue and descend into subtree */
+ }
/* We can throw error on sight for a window function */
if (IsA(node, WindowFunc))
ereport(ERROR,
context->sublevels_up--;
return result;
}
+
return expression_tree_walker(node,
check_agg_arguments_walker,
(void *) context);
void
parseCheckAggregates(ParseState *pstate, Query *qry)
{
+ List *gset_common = NIL;
List *groupClauses = NIL;
+ List *groupClauseCommonVars = NIL;
bool have_non_var_grouping;
List *func_grouped_rels = NIL;
ListCell *l;
bool hasJoinRTEs;
bool hasSelfRefRTEs;
- PlannerInfo *root;
+ PlannerInfo *root = NULL;
Node *clause;
/* This should only be called if we found aggregates or grouping */
- Assert(pstate->p_hasAggs || qry->groupClause || qry->havingQual);
+ Assert(pstate->p_hasAggs || qry->groupClause || qry->havingQual || qry->groupingSets);
+
+ /*
+ * If we have grouping sets, expand them and find the intersection of all
+ * sets.
+ */
+ if (qry->groupingSets)
+ {
+ /*
+ * The limit of 4096 is arbitrary and exists simply to avoid resource
+ * issues from pathological constructs.
+ */
+ List *gsets = expand_grouping_sets(qry->groupingSets, 4096);
+
+ if (!gsets)
+ ereport(ERROR,
+ (errcode(ERRCODE_STATEMENT_TOO_COMPLEX),
+ errmsg("too many grouping sets present (max 4096)"),
+ parser_errposition(pstate,
+ qry->groupClause
+ ? exprLocation((Node *) qry->groupClause)
+ : exprLocation((Node *) qry->groupingSets))));
+
+ /*
+ * The intersection will often be empty, so help things along by
+ * seeding the intersect with the smallest set.
+ */
+ gset_common = linitial(gsets);
+
+ if (gset_common)
+ {
+ for_each_cell(l, lnext(list_head(gsets)))
+ {
+ gset_common = list_intersection_int(gset_common, lfirst(l));
+ if (!gset_common)
+ break;
+ }
+ }
+
+ /*
+ * If there was only one grouping set in the expansion, AND if the
+ * groupClause is non-empty (meaning that the grouping set is not empty
+ * either), then we can ditch the grouping set and pretend we just had
+ * a normal GROUP BY.
+ */
+ if (list_length(gsets) == 1 && qry->groupClause)
+ qry->groupingSets = NIL;
+ }
/*
* Scan the range table to see if there are JOIN or self-reference CTE
/*
* Build a list of the acceptable GROUP BY expressions for use by
* check_ungrouped_columns().
+ *
+ * We get the TLE, not just the expr, because GROUPING wants to know
+ * the sortgroupref.
*/
foreach(l, qry->groupClause)
{
SortGroupClause *grpcl = (SortGroupClause *) lfirst(l);
- Node *expr;
+ TargetEntry *expr;
- expr = get_sortgroupclause_expr(grpcl, qry->targetList);
+ expr = get_sortgroupclause_tle(grpcl, qry->targetList);
if (expr == NULL)
continue; /* probably cannot happen */
+
groupClauses = lcons(expr, groupClauses);
}
groupClauses = (List *) flatten_join_alias_vars(root,
(Node *) groupClauses);
}
- else
- root = NULL; /* keep compiler quiet */
/*
* Detect whether any of the grouping expressions aren't simple Vars; if
* they're all Vars then we don't have to work so hard in the recursive
* scans. (Note we have to flatten aliases before this.)
+ *
+ * Track Vars that are included in all grouping sets separately in
+ * groupClauseCommonVars, since these are the only ones we can use to check
+ * for functional dependencies.
*/
have_non_var_grouping = false;
foreach(l, groupClauses)
{
- if (!IsA((Node *) lfirst(l), Var))
+ TargetEntry *tle = lfirst(l);
+ if (!IsA(tle->expr, Var))
{
have_non_var_grouping = true;
- break;
+ }
+ else if (!qry->groupingSets ||
+ list_member_int(gset_common, tle->ressortgroupref))
+ {
+ groupClauseCommonVars = lappend(groupClauseCommonVars, tle->expr);
}
}
* this will also find ungrouped variables that came from ORDER BY and
* WINDOW clauses. For that matter, it's also going to examine the
* grouping expressions themselves --- but they'll all pass the test ...
+ *
+ * We also finalize GROUPING expressions, but for that we need to traverse
+ * the original (unflattened) clause in order to modify nodes.
*/
clause = (Node *) qry->targetList;
+ finalize_grouping_exprs(clause, pstate, qry,
+ groupClauses, root,
+ have_non_var_grouping);
if (hasJoinRTEs)
clause = flatten_join_alias_vars(root, clause);
check_ungrouped_columns(clause, pstate, qry,
- groupClauses, have_non_var_grouping,
+ groupClauses, groupClauseCommonVars,
+ have_non_var_grouping,
&func_grouped_rels);
clause = (Node *) qry->havingQual;
+ finalize_grouping_exprs(clause, pstate, qry,
+ groupClauses, root,
+ have_non_var_grouping);
if (hasJoinRTEs)
clause = flatten_join_alias_vars(root, clause);
check_ungrouped_columns(clause, pstate, qry,
- groupClauses, have_non_var_grouping,
+ groupClauses, groupClauseCommonVars,
+ have_non_var_grouping,
&func_grouped_rels);
/*
*/
static void
check_ungrouped_columns(Node *node, ParseState *pstate, Query *qry,
- List *groupClauses, bool have_non_var_grouping,
+ List *groupClauses, List *groupClauseCommonVars,
+ bool have_non_var_grouping,
List **func_grouped_rels)
{
check_ungrouped_columns_context context;
context.pstate = pstate;
context.qry = qry;
+ context.root = NULL;
context.groupClauses = groupClauses;
+ context.groupClauseCommonVars = groupClauseCommonVars;
context.have_non_var_grouping = have_non_var_grouping;
context.func_grouped_rels = func_grouped_rels;
context.sublevels_up = 0;
return false;
}
+ if (IsA(node, GroupingFunc))
+ {
+ GroupingFunc *grp = (GroupingFunc *) node;
+
+ /* handled GroupingFunc separately, no need to recheck at this level */
+
+ if ((int) grp->agglevelsup >= context->sublevels_up)
+ return false;
+ }
+
/*
* If we have any GROUP BY items that are not simple Vars, check to see if
* subexpression as a whole matches any GROUP BY item. We need to do this
{
foreach(gl, context->groupClauses)
{
- if (equal(node, lfirst(gl)))
+ TargetEntry *tle = lfirst(gl);
+
+ if (equal(node, tle->expr))
return false; /* acceptable, do not descend more */
}
}
{
foreach(gl, context->groupClauses)
{
- Var *gvar = (Var *) lfirst(gl);
+ Var *gvar = (Var *) ((TargetEntry *) lfirst(gl))->expr;
if (IsA(gvar, Var) &&
gvar->varno == var->varno &&
if (check_functional_grouping(rte->relid,
var->varno,
0,
- context->groupClauses,
+ context->groupClauseCommonVars,
&context->qry->constraintDeps))
{
*context->func_grouped_rels =
(void *) context);
}
+/*
+ * finalize_grouping_exprs -
+ * Scan the given expression tree for GROUPING() and related calls,
+ * and validate and process their arguments.
+ *
+ * This is split out from check_ungrouped_columns above because it needs
+ * to modify the nodes (which it does in-place, not via a mutator) while
+ * check_ungrouped_columns may see only a copy of the original thanks to
+ * flattening of join alias vars. So here, we flatten each individual
+ * GROUPING argument as we see it before comparing it.
+ */
+static void
+finalize_grouping_exprs(Node *node, ParseState *pstate, Query *qry,
+ List *groupClauses, PlannerInfo *root,
+ bool have_non_var_grouping)
+{
+ check_ungrouped_columns_context context;
+
+ context.pstate = pstate;
+ context.qry = qry;
+ context.root = root;
+ context.groupClauses = groupClauses;
+ context.groupClauseCommonVars = NIL;
+ context.have_non_var_grouping = have_non_var_grouping;
+ context.func_grouped_rels = NULL;
+ context.sublevels_up = 0;
+ context.in_agg_direct_args = false;
+ finalize_grouping_exprs_walker(node, &context);
+}
+
+static bool
+finalize_grouping_exprs_walker(Node *node,
+ check_ungrouped_columns_context *context)
+{
+ ListCell *gl;
+
+ if (node == NULL)
+ return false;
+ if (IsA(node, Const) ||
+ IsA(node, Param))
+ return false; /* constants are always acceptable */
+
+ if (IsA(node, Aggref))
+ {
+ Aggref *agg = (Aggref *) node;
+
+ if ((int) agg->agglevelsup == context->sublevels_up)
+ {
+ /*
+ * If we find an aggregate call of the original level, do not
+ * recurse into its normal arguments, ORDER BY arguments, or
+ * filter; GROUPING exprs of this level are not allowed there. But
+ * check direct arguments as though they weren't in an aggregate.
+ */
+ bool result;
+
+ Assert(!context->in_agg_direct_args);
+ context->in_agg_direct_args = true;
+ result = finalize_grouping_exprs_walker((Node *) agg->aggdirectargs,
+ context);
+ context->in_agg_direct_args = false;
+ return result;
+ }
+
+ /*
+ * We can skip recursing into aggregates of higher levels altogether,
+ * since they could not possibly contain exprs of concern to us (see
+ * transformAggregateCall). We do need to look at aggregates of lower
+ * levels, however.
+ */
+ if ((int) agg->agglevelsup > context->sublevels_up)
+ return false;
+ }
+
+ if (IsA(node, GroupingFunc))
+ {
+ GroupingFunc *grp = (GroupingFunc *) node;
+
+ /*
+ * We only need to check GroupingFunc nodes at the exact level to which
+ * they belong, since they cannot mix levels in arguments.
+ */
+
+ if ((int) grp->agglevelsup == context->sublevels_up)
+ {
+ ListCell *lc;
+ List *ref_list = NIL;
+
+ foreach(lc, grp->args)
+ {
+ Node *expr = lfirst(lc);
+ Index ref = 0;
+
+ if (context->root)
+ expr = flatten_join_alias_vars(context->root, expr);
+
+ /*
+ * Each expression must match a grouping entry at the current
+ * query level. Unlike the general expression case, we don't
+ * allow functional dependencies or outer references.
+ */
+
+ if (IsA(expr, Var))
+ {
+ Var *var = (Var *) expr;
+
+ if (var->varlevelsup == context->sublevels_up)
+ {
+ foreach(gl, context->groupClauses)
+ {
+ TargetEntry *tle = lfirst(gl);
+ Var *gvar = (Var *) tle->expr;
+
+ if (IsA(gvar, Var) &&
+ gvar->varno == var->varno &&
+ gvar->varattno == var->varattno &&
+ gvar->varlevelsup == 0)
+ {
+ ref = tle->ressortgroupref;
+ break;
+ }
+ }
+ }
+ }
+ else if (context->have_non_var_grouping &&
+ context->sublevels_up == 0)
+ {
+ foreach(gl, context->groupClauses)
+ {
+ TargetEntry *tle = lfirst(gl);
+
+ if (equal(expr, tle->expr))
+ {
+ ref = tle->ressortgroupref;
+ break;
+ }
+ }
+ }
+
+ if (ref == 0)
+ ereport(ERROR,
+ (errcode(ERRCODE_GROUPING_ERROR),
+ errmsg("arguments to GROUPING must be grouping expressions of the associated query level"),
+ parser_errposition(context->pstate,
+ exprLocation(expr))));
+
+ ref_list = lappend_int(ref_list, ref);
+ }
+
+ grp->refs = ref_list;
+ }
+
+ if ((int) grp->agglevelsup > context->sublevels_up)
+ return false;
+ }
+
+ if (IsA(node, Query))
+ {
+ /* Recurse into subselects */
+ bool result;
+
+ context->sublevels_up++;
+ result = query_tree_walker((Query *) node,
+ finalize_grouping_exprs_walker,
+ (void *) context,
+ 0);
+ context->sublevels_up--;
+ return result;
+ }
+ return expression_tree_walker(node, finalize_grouping_exprs_walker,
+ (void *) context);
+}
+
+
+/*
+ * Given a GroupingSet node, expand it and return a list of lists.
+ *
+ * For EMPTY nodes, return a list of one empty list.
+ *
+ * For SIMPLE nodes, return a list of one list, which is the node content.
+ *
+ * For CUBE and ROLLUP nodes, return a list of the expansions.
+ *
+ * For SET nodes, recursively expand contained CUBE and ROLLUP.
+ */
+static List*
+expand_groupingset_node(GroupingSet *gs)
+{
+ List * result = NIL;
+
+ switch (gs->kind)
+ {
+ case GROUPING_SET_EMPTY:
+ result = list_make1(NIL);
+ break;
+
+ case GROUPING_SET_SIMPLE:
+ result = list_make1(gs->content);
+ break;
+
+ case GROUPING_SET_ROLLUP:
+ {
+ List *rollup_val = gs->content;
+ ListCell *lc;
+ int curgroup_size = list_length(gs->content);
+
+ while (curgroup_size > 0)
+ {
+ List *current_result = NIL;
+ int i = curgroup_size;
+
+ foreach(lc, rollup_val)
+ {
+ GroupingSet *gs_current = (GroupingSet *) lfirst(lc);
+
+ Assert(gs_current->kind == GROUPING_SET_SIMPLE);
+
+ current_result
+ = list_concat(current_result,
+ list_copy(gs_current->content));
+
+ /* If we are done with making the current group, break */
+ if (--i == 0)
+ break;
+ }
+
+ result = lappend(result, current_result);
+ --curgroup_size;
+ }
+
+ result = lappend(result, NIL);
+ }
+ break;
+
+ case GROUPING_SET_CUBE:
+ {
+ List *cube_list = gs->content;
+ int number_bits = list_length(cube_list);
+ uint32 num_sets;
+ uint32 i;
+
+ /* parser should cap this much lower */
+ Assert(number_bits < 31);
+
+ num_sets = (1U << number_bits);
+
+ for (i = 0; i < num_sets; i++)
+ {
+ List *current_result = NIL;
+ ListCell *lc;
+ uint32 mask = 1U;
+
+ foreach(lc, cube_list)
+ {
+ GroupingSet *gs_current = (GroupingSet *) lfirst(lc);
+
+ Assert(gs_current->kind == GROUPING_SET_SIMPLE);
+
+ if (mask & i)
+ {
+ current_result
+ = list_concat(current_result,
+ list_copy(gs_current->content));
+ }
+
+ mask <<= 1;
+ }
+
+ result = lappend(result, current_result);
+ }
+ }
+ break;
+
+ case GROUPING_SET_SETS:
+ {
+ ListCell *lc;
+
+ foreach(lc, gs->content)
+ {
+ List *current_result = expand_groupingset_node(lfirst(lc));
+
+ result = list_concat(result, current_result);
+ }
+ }
+ break;
+ }
+
+ return result;
+}
+
+static int
+cmp_list_len_asc(const void *a, const void *b)
+{
+ int la = list_length(*(List*const*)a);
+ int lb = list_length(*(List*const*)b);
+ return (la > lb) ? 1 : (la == lb) ? 0 : -1;
+}
+
+/*
+ * Expand a groupingSets clause to a flat list of grouping sets.
+ * The returned list is sorted by length, shortest sets first.
+ *
+ * This is mainly for the planner, but we use it here too to do
+ * some consistency checks.
+ */
+List *
+expand_grouping_sets(List *groupingSets, int limit)
+{
+ List *expanded_groups = NIL;
+ List *result = NIL;
+ double numsets = 1;
+ ListCell *lc;
+
+ if (groupingSets == NIL)
+ return NIL;
+
+ foreach(lc, groupingSets)
+ {
+ List *current_result = NIL;
+ GroupingSet *gs = lfirst(lc);
+
+ current_result = expand_groupingset_node(gs);
+
+ Assert(current_result != NIL);
+
+ numsets *= list_length(current_result);
+
+ if (limit >= 0 && numsets > limit)
+ return NIL;
+
+ expanded_groups = lappend(expanded_groups, current_result);
+ }
+
+ /*
+ * Do cartesian product between sublists of expanded_groups.
+ * While at it, remove any duplicate elements from individual
+ * grouping sets (we must NOT change the number of sets though)
+ */
+
+ foreach(lc, (List *) linitial(expanded_groups))
+ {
+ result = lappend(result, list_union_int(NIL, (List *) lfirst(lc)));
+ }
+
+ for_each_cell(lc, lnext(list_head(expanded_groups)))
+ {
+ List *p = lfirst(lc);
+ List *new_result = NIL;
+ ListCell *lc2;
+
+ foreach(lc2, result)
+ {
+ List *q = lfirst(lc2);
+ ListCell *lc3;
+
+ foreach(lc3, p)
+ {
+ new_result = lappend(new_result,
+ list_union_int(q, (List *) lfirst(lc3)));
+ }
+ }
+ result = new_result;
+ }
+
+ if (list_length(result) > 1)
+ {
+ int result_len = list_length(result);
+ List **buf = palloc(sizeof(List*) * result_len);
+ List **ptr = buf;
+
+ foreach(lc, result)
+ {
+ *ptr++ = lfirst(lc);
+ }
+
+ qsort(buf, result_len, sizeof(List*), cmp_list_len_asc);
+
+ result = NIL;
+ ptr = buf;
+
+ while (result_len-- > 0)
+ result = lappend(result, *ptr++);
+
+ pfree(buf);
+ }
+
+ return result;
+}
+
/*
* get_aggregate_argtypes
* Identify the specific datatypes passed to an aggregate call.
#include "postgres.h"
+#include "miscadmin.h"
+
#include "access/heapam.h"
#include "catalog/catalog.h"
#include "access/htup_details.h"
#include "utils/rel.h"
#include "utils/syscache.h"
-
/* Convenience macro for the most common makeNamespaceItem() case */
#define makeDefaultNSItem(rte) makeNamespaceItem(rte, true, true, false, true)
return target_result;
}
+/*-------------------------------------------------------------------------
+ * Flatten out parenthesized sublists in grouping lists, and some cases
+ * of nested grouping sets.
+ *
+ * Inside a grouping set (ROLLUP, CUBE, or GROUPING SETS), we expect the
+ * content to be nested no more than 2 deep: i.e. ROLLUP((a,b),(c,d)) is
+ * ok, but ROLLUP((a,(b,c)),d) is flattened to ((a,b,c),d), which we then
+ * normalize to ((a,b,c),(d)).
+ *
+ * CUBE or ROLLUP can be nested inside GROUPING SETS (but not the reverse),
+ * and we leave that alone if we find it. But if we see GROUPING SETS inside
+ * GROUPING SETS, we can flatten and normalize as follows:
+ * GROUPING SETS (a, (b,c), GROUPING SETS ((c,d),(e)), (f,g))
+ * becomes
+ * GROUPING SETS ((a), (b,c), (c,d), (e), (f,g))
+ *
+ * This is per the spec's syntax transformations, but these are the only such
+ * transformations we do in parse analysis, so that queries retain the
+ * originally specified grouping set syntax for CUBE and ROLLUP as much as
+ * possible when deparsed. (Full expansion of the result into a list of
+ * grouping sets is left to the planner.)
+ *
+ * When we're done, the resulting list should contain only these possible
+ * elements:
+ * - an expression
+ * - a CUBE or ROLLUP with a list of expressions nested 2 deep
+ * - a GROUPING SET containing any of:
+ * - expression lists
+ * - empty grouping sets
+ * - CUBE or ROLLUP nodes with lists nested 2 deep
+ * The return is a new list, but doesn't deep-copy the old nodes except for
+ * GroupingSet nodes.
+ *
+ * As a side effect, flag whether the list has any GroupingSet nodes.
+ *-------------------------------------------------------------------------
+ */
+static Node *
+flatten_grouping_sets(Node *expr, bool toplevel, bool *hasGroupingSets)
+{
+ /* just in case of pathological input */
+ check_stack_depth();
+
+ if (expr == (Node *) NIL)
+ return (Node *) NIL;
+
+ switch (expr->type)
+ {
+ case T_RowExpr:
+ {
+ RowExpr *r = (RowExpr *) expr;
+ if (r->row_format == COERCE_IMPLICIT_CAST)
+ return flatten_grouping_sets((Node *) r->args,
+ false, NULL);
+ }
+ break;
+ case T_GroupingSet:
+ {
+ GroupingSet *gset = (GroupingSet *) expr;
+ ListCell *l2;
+ List *result_set = NIL;
+
+ if (hasGroupingSets)
+ *hasGroupingSets = true;
+
+ /*
+ * at the top level, we skip over all empty grouping sets; the
+ * caller can supply the canonical GROUP BY () if nothing is left.
+ */
+
+ if (toplevel && gset->kind == GROUPING_SET_EMPTY)
+ return (Node *) NIL;
+
+ foreach(l2, gset->content)
+ {
+ Node *n2 = flatten_grouping_sets(lfirst(l2), false, NULL);
+
+ result_set = lappend(result_set, n2);
+ }
+
+ /*
+ * At top level, keep the grouping set node; but if we're in a nested
+ * grouping set, then we need to concat the flattened result into the
+ * outer list if it's simply nested.
+ */
+
+ if (toplevel || (gset->kind != GROUPING_SET_SETS))
+ {
+ return (Node *) makeGroupingSet(gset->kind, result_set, gset->location);
+ }
+ else
+ return (Node *) result_set;
+ }
+ case T_List:
+ {
+ List *result = NIL;
+ ListCell *l;
+
+ foreach(l, (List *)expr)
+ {
+ Node *n = flatten_grouping_sets(lfirst(l), toplevel, hasGroupingSets);
+ if (n != (Node *) NIL)
+ {
+ if (IsA(n,List))
+ result = list_concat(result, (List *) n);
+ else
+ result = lappend(result, n);
+ }
+ }
+
+ return (Node *) result;
+ }
+ default:
+ break;
+ }
+
+ return expr;
+}
+
/*
- * transformGroupClause -
- * transform a GROUP BY clause
+ * Transform a single expression within a GROUP BY clause or grouping set.
*
- * GROUP BY items will be added to the targetlist (as resjunk columns)
- * if not already present, so the targetlist must be passed by reference.
+ * The expression is added to the targetlist if not already present, and to the
+ * flatresult list (which will become the groupClause) if not already present
+ * there. The sortClause is consulted for operator and sort order hints.
*
- * This is also used for window PARTITION BY clauses (which act almost the
- * same, but are always interpreted per SQL99 rules).
+ * Returns the ressortgroupref of the expression.
+ *
+ * flatresult reference to flat list of SortGroupClause nodes
+ * seen_local bitmapset of sortgrouprefs already seen at the local level
+ * pstate ParseState
+ * gexpr node to transform
+ * targetlist reference to TargetEntry list
+ * sortClause ORDER BY clause (SortGroupClause nodes)
+ * exprKind expression kind
+ * useSQL99 SQL99 rather than SQL92 syntax
+ * toplevel false if within any grouping set
*/
-List *
-transformGroupClause(ParseState *pstate, List *grouplist,
- List **targetlist, List *sortClause,
- ParseExprKind exprKind, bool useSQL99)
+static Index
+transformGroupClauseExpr(List **flatresult, Bitmapset *seen_local,
+ ParseState *pstate, Node *gexpr,
+ List **targetlist, List *sortClause,
+ ParseExprKind exprKind, bool useSQL99, bool toplevel)
{
- List *result = NIL;
- ListCell *gl;
+ TargetEntry *tle;
+ bool found = false;
+
+ if (useSQL99)
+ tle = findTargetlistEntrySQL99(pstate, gexpr,
+ targetlist, exprKind);
+ else
+ tle = findTargetlistEntrySQL92(pstate, gexpr,
+ targetlist, exprKind);
- foreach(gl, grouplist)
+ if (tle->ressortgroupref > 0)
{
- Node *gexpr = (Node *) lfirst(gl);
- TargetEntry *tle;
- bool found = false;
+ ListCell *sl;
- if (useSQL99)
- tle = findTargetlistEntrySQL99(pstate, gexpr,
- targetlist, exprKind);
- else
- tle = findTargetlistEntrySQL92(pstate, gexpr,
- targetlist, exprKind);
+ /*
+ * Eliminate duplicates (GROUP BY x, x) but only at local level.
+ * (Duplicates in grouping sets can affect the number of returned
+ * rows, so can't be dropped indiscriminately.)
+ *
+ * Since we don't care about anything except the sortgroupref,
+ * we can use a bitmapset rather than scanning lists.
+ */
+ if (bms_is_member(tle->ressortgroupref,seen_local))
+ return 0;
- /* Eliminate duplicates (GROUP BY x, x) */
- if (targetIsInSortList(tle, InvalidOid, result))
- continue;
+ /*
+ * If we're already in the flat clause list, we don't need
+ * to consider adding ourselves again.
+ */
+ found = targetIsInSortList(tle, InvalidOid, *flatresult);
+ if (found)
+ return tle->ressortgroupref;
/*
* If the GROUP BY tlist entry also appears in ORDER BY, copy operator
* sort step, and it allows the user to choose the equality semantics
* used by GROUP BY, should she be working with a datatype that has
* more than one equality operator.
+ *
+ * If we're in a grouping set, though, we force our requested ordering
+ * to be NULLS LAST, because if we have any hope of using a sorted agg
+ * for the job, we're going to be tacking on generated NULL values
+ * after the corresponding groups. If the user demands nulls first,
+ * another sort step is going to be inevitable, but that's the
+ * planner's problem.
*/
- if (tle->ressortgroupref > 0)
+
+ foreach(sl, sortClause)
{
- ListCell *sl;
+ SortGroupClause *sc = (SortGroupClause *) lfirst(sl);
- foreach(sl, sortClause)
+ if (sc->tleSortGroupRef == tle->ressortgroupref)
{
- SortGroupClause *sc = (SortGroupClause *) lfirst(sl);
+ SortGroupClause *grpc = copyObject(sc);
+ if (!toplevel)
+ grpc->nulls_first = false;
+ *flatresult = lappend(*flatresult, grpc);
+ found = true;
+ break;
+ }
+ }
+ }
- if (sc->tleSortGroupRef == tle->ressortgroupref)
- {
- result = lappend(result, copyObject(sc));
- found = true;
+ /*
+ * If no match in ORDER BY, just add it to the result using default
+ * sort/group semantics.
+ */
+ if (!found)
+ *flatresult = addTargetToGroupList(pstate, tle,
+ *flatresult, *targetlist,
+ exprLocation(gexpr),
+ true);
+
+ /*
+ * _something_ must have assigned us a sortgroupref by now...
+ */
+
+ return tle->ressortgroupref;
+}
+
+/*
+ * Transform a list of expressions within a GROUP BY clause or grouping set.
+ *
+ * The list of expressions belongs to a single clause within which duplicates
+ * can be safely eliminated.
+ *
+ * Returns an integer list of ressortgroupref values.
+ *
+ * flatresult reference to flat list of SortGroupClause nodes
+ * pstate ParseState
+ * list nodes to transform
+ * targetlist reference to TargetEntry list
+ * sortClause ORDER BY clause (SortGroupClause nodes)
+ * exprKind expression kind
+ * useSQL99 SQL99 rather than SQL92 syntax
+ * toplevel false if within any grouping set
+ */
+static List *
+transformGroupClauseList(List **flatresult,
+ ParseState *pstate, List *list,
+ List **targetlist, List *sortClause,
+ ParseExprKind exprKind, bool useSQL99, bool toplevel)
+{
+ Bitmapset *seen_local = NULL;
+ List *result = NIL;
+ ListCell *gl;
+
+ foreach(gl, list)
+ {
+ Node *gexpr = (Node *) lfirst(gl);
+
+ Index ref = transformGroupClauseExpr(flatresult,
+ seen_local,
+ pstate,
+ gexpr,
+ targetlist,
+ sortClause,
+ exprKind,
+ useSQL99,
+ toplevel);
+ if (ref > 0)
+ {
+ seen_local = bms_add_member(seen_local, ref);
+ result = lappend_int(result, ref);
+ }
+ }
+
+ return result;
+}
+
+/*
+ * Transform a grouping set and (recursively) its content.
+ *
+ * The grouping set might be a GROUPING SETS node with other grouping sets
+ * inside it, but SETS within SETS have already been flattened out before
+ * reaching here.
+ *
+ * Returns the transformed node, which now contains SIMPLE nodes with lists
+ * of ressortgrouprefs rather than expressions.
+ *
+ * flatresult reference to flat list of SortGroupClause nodes
+ * pstate ParseState
+ * gset grouping set to transform
+ * targetlist reference to TargetEntry list
+ * sortClause ORDER BY clause (SortGroupClause nodes)
+ * exprKind expression kind
+ * useSQL99 SQL99 rather than SQL92 syntax
+ * toplevel false if within any grouping set
+ */
+static Node *
+transformGroupingSet(List **flatresult,
+ ParseState *pstate, GroupingSet *gset,
+ List **targetlist, List *sortClause,
+ ParseExprKind exprKind, bool useSQL99, bool toplevel)
+{
+ ListCell *gl;
+ List *content = NIL;
+
+ Assert(toplevel || gset->kind != GROUPING_SET_SETS);
+
+ foreach(gl, gset->content)
+ {
+ Node *n = lfirst(gl);
+
+ if (IsA(n, List))
+ {
+ List *l = transformGroupClauseList(flatresult,
+ pstate, (List *) n,
+ targetlist, sortClause,
+ exprKind, useSQL99, false);
+
+ content = lappend(content, makeGroupingSet(GROUPING_SET_SIMPLE,
+ l,
+ exprLocation(n)));
+ }
+ else if (IsA(n, GroupingSet))
+ {
+ GroupingSet *gset2 = (GroupingSet *) lfirst(gl);
+
+ content = lappend(content, transformGroupingSet(flatresult,
+ pstate, gset2,
+ targetlist, sortClause,
+ exprKind, useSQL99, false));
+ }
+ else
+ {
+ Index ref = transformGroupClauseExpr(flatresult,
+ NULL,
+ pstate,
+ n,
+ targetlist,
+ sortClause,
+ exprKind,
+ useSQL99,
+ false);
+
+ content = lappend(content, makeGroupingSet(GROUPING_SET_SIMPLE,
+ list_make1_int(ref),
+ exprLocation(n)));
+ }
+ }
+
+ /* Arbitrarily cap the size of CUBE, which has exponential growth */
+ if (gset->kind == GROUPING_SET_CUBE)
+ {
+ if (list_length(content) > 12)
+ ereport(ERROR,
+ (errcode(ERRCODE_TOO_MANY_COLUMNS),
+ errmsg("CUBE is limited to 12 elements"),
+ parser_errposition(pstate, gset->location)));
+ }
+
+ return (Node *) makeGroupingSet(gset->kind, content, gset->location);
+}
+
+
+/*
+ * transformGroupClause -
+ * transform a GROUP BY clause
+ *
+ * GROUP BY items will be added to the targetlist (as resjunk columns)
+ * if not already present, so the targetlist must be passed by reference.
+ *
+ * This is also used for window PARTITION BY clauses (which act almost the
+ * same, but are always interpreted per SQL99 rules).
+ *
+ * Grouping sets make this a lot more complex than it was. Our goal here is
+ * twofold: we make a flat list of SortGroupClause nodes referencing each
+ * distinct expression used for grouping, with those expressions added to the
+ * targetlist if needed. At the same time, we build the groupingSets tree,
+ * which stores only ressortgrouprefs as integer lists inside GroupingSet nodes
+ * (possibly nested, but limited in depth: a GROUPING_SET_SETS node can contain
+ * nested SIMPLE, CUBE or ROLLUP nodes, but not more sets - we flatten that
+ * out; while CUBE and ROLLUP can contain only SIMPLE nodes).
+ *
+ * We skip much of the hard work if there are no grouping sets.
+ *
+ * One subtlety is that the groupClause list can end up empty while the
+ * groupingSets list is not; this happens if there are only empty grouping
+ * sets, or an explicit GROUP BY (). This has the same effect as specifying
+ * aggregates or a HAVING clause with no GROUP BY; the output is one row per
+ * grouping set even if the input is empty.
+ *
+ * Returns the transformed (flat) groupClause.
+ *
+ * pstate ParseState
+ * grouplist clause to transform
+ * groupingSets reference to list to contain the grouping set tree
+ * targetlist reference to TargetEntry list
+ * sortClause ORDER BY clause (SortGroupClause nodes)
+ * exprKind expression kind
+ * useSQL99 SQL99 rather than SQL92 syntax
+ */
+List *
+transformGroupClause(ParseState *pstate, List *grouplist, List **groupingSets,
+ List **targetlist, List *sortClause,
+ ParseExprKind exprKind, bool useSQL99)
+{
+ List *result = NIL;
+ List *flat_grouplist;
+ List *gsets = NIL;
+ ListCell *gl;
+ bool hasGroupingSets = false;
+ Bitmapset *seen_local = NULL;
+
+ /*
+ * Recursively flatten implicit RowExprs. (Technically this is only
+ * needed for GROUP BY, per the syntax rules for grouping sets, but
+ * we do it anyway.)
+ */
+ flat_grouplist = (List *) flatten_grouping_sets((Node *) grouplist,
+ true,
+ &hasGroupingSets);
+
+ /*
+ * If the list is now empty, but hasGroupingSets is true, it's because
+ * we elided redundant empty grouping sets. Restore a single empty
+ * grouping set to leave a canonical form: GROUP BY ()
+ */
+
+ if (flat_grouplist == NIL && hasGroupingSets)
+ {
+ flat_grouplist = list_make1(makeGroupingSet(GROUPING_SET_EMPTY,
+ NIL,
+ exprLocation((Node *) grouplist)));
+ }
+
+ foreach(gl, flat_grouplist)
+ {
+ Node *gexpr = (Node *) lfirst(gl);
+
+ if (IsA(gexpr, GroupingSet))
+ {
+ GroupingSet *gset = (GroupingSet *) gexpr;
+
+ switch (gset->kind)
+ {
+ case GROUPING_SET_EMPTY:
+ gsets = lappend(gsets, gset);
+ break;
+ case GROUPING_SET_SIMPLE:
+ /* can't happen */
+ Assert(false);
+ break;
+ case GROUPING_SET_SETS:
+ case GROUPING_SET_CUBE:
+ case GROUPING_SET_ROLLUP:
+ gsets = lappend(gsets,
+ transformGroupingSet(&result,
+ pstate, gset,
+ targetlist, sortClause,
+ exprKind, useSQL99, true));
break;
- }
}
}
+ else
+ {
+ Index ref = transformGroupClauseExpr(&result, seen_local,
+ pstate, gexpr,
+ targetlist, sortClause,
+ exprKind, useSQL99, true);
- /*
- * If no match in ORDER BY, just add it to the result using default
- * sort/group semantics.
- */
- if (!found)
- result = addTargetToGroupList(pstate, tle,
- result, *targetlist,
- exprLocation(gexpr),
- true);
+ if (ref > 0)
+ {
+ seen_local = bms_add_member(seen_local, ref);
+ if (hasGroupingSets)
+ gsets = lappend(gsets,
+ makeGroupingSet(GROUPING_SET_SIMPLE,
+ list_make1_int(ref),
+ exprLocation(gexpr)));
+ }
+ }
}
+ /* parser should prevent this */
+ Assert(gsets == NIL || groupingSets != NULL);
+
+ if (groupingSets)
+ *groupingSets = gsets;
+
return result;
}
true /* force SQL99 rules */ );
partitionClause = transformGroupClause(pstate,
windef->partitionClause,
+ NULL,
targetlist,
orderClause,
EXPR_KIND_WINDOW_PARTITION,
#include "parser/parse_relation.h"
#include "parser/parse_target.h"
#include "parser/parse_type.h"
+#include "parser/parse_agg.h"
#include "utils/builtins.h"
#include "utils/lsyscache.h"
#include "utils/xml.h"
result = transformMultiAssignRef(pstate, (MultiAssignRef *) expr);
break;
+ case T_GroupingFunc:
+ result = transformGroupingFunc(pstate, (GroupingFunc *) expr);
+ break;
+
case T_NamedArgExpr:
{
NamedArgExpr *na = (NamedArgExpr *) expr;
break;
case T_CollateClause:
return FigureColnameInternal(((CollateClause *) node)->arg, name);
+ case T_GroupingFunc:
+ /* make GROUPING() act like a regular function */
+ *name = "grouping";
+ return 2;
case T_SubLink:
switch (((SubLink *) node)->subLinkType)
{
if (viewquery->distinctClause != NIL)
return gettext_noop("Views containing DISTINCT are not automatically updatable.");
- if (viewquery->groupClause != NIL)
+ if (viewquery->groupClause != NIL || viewquery->groupingSets)
return gettext_noop("Views containing GROUP BY are not automatically updatable.");
if (viewquery->havingQual != NULL)
return true; /* abort the tree traversal and return true */
/* else fall through to examine argument */
}
+ if (IsA(node, GroupingFunc))
+ {
+ if (((GroupingFunc *) node)->agglevelsup == context->sublevels_up)
+ return true;
+ /* else fall through to examine argument */
+ }
if (IsA(node, Query))
{
/* Recurse into subselects */
}
/* else fall through to examine argument */
}
+ if (IsA(node, GroupingFunc))
+ {
+ if (((GroupingFunc *) node)->agglevelsup == context->sublevels_up &&
+ ((GroupingFunc *) node)->location >= 0)
+ {
+ context->agg_location = ((GroupingFunc *) node)->location;
+ return true; /* abort the tree traversal and return true */
+ }
+ }
if (IsA(node, Query))
{
/* Recurse into subselects */
agg->agglevelsup += context->delta_sublevels_up;
/* fall through to recurse into argument */
}
+ if (IsA(node, GroupingFunc))
+ {
+ GroupingFunc *grp = (GroupingFunc *) node;
+
+ if (grp->agglevelsup >= context->min_sublevels_up)
+ grp->agglevelsup += context->delta_sublevels_up;
+ /* fall through to recurse into argument */
+ }
if (IsA(node, PlaceHolderVar))
{
PlaceHolderVar *phv = (PlaceHolderVar *) node;
#include "nodes/nodeFuncs.h"
#include "optimizer/tlist.h"
#include "parser/keywords.h"
+#include "parser/parse_node.h"
#include "parser/parse_agg.h"
#include "parser/parse_func.h"
#include "parser/parse_oper.h"
int wrapColumn; /* max line length, or -1 for no limit */
int indentLevel; /* current indent level for prettyprint */
bool varprefix; /* TRUE to print prefixes on Vars */
+ ParseExprKind special_exprkind; /* set only for exprkinds needing */
+ /* special handling */
} deparse_context;
/*
static void get_setop_query(Node *setOp, Query *query,
deparse_context *context,
TupleDesc resultDesc);
-static Node *get_rule_sortgroupclause(SortGroupClause *srt, List *tlist,
+static Node *get_rule_sortgroupclause(Index ref, List *tlist,
bool force_colno,
deparse_context *context);
+static void get_rule_groupingset(GroupingSet *gset, List *targetlist,
+ bool omit_parens, deparse_context *context);
static void get_rule_orderby(List *orderList, List *targetList,
bool force_colno, deparse_context *context);
static void get_rule_windowclause(Query *query, deparse_context *context);
static char *get_relation_name(Oid relid);
static char *generate_relation_name(Oid relid, List *namespaces);
static char *generate_function_name(Oid funcid, int nargs,
- List *argnames, Oid *argtypes,
- bool has_variadic, bool *use_variadic_p);
+ List *argnames, Oid *argtypes,
+ bool has_variadic, bool *use_variadic_p,
+ ParseExprKind special_exprkind);
static char *generate_operator_name(Oid operid, Oid arg1, Oid arg2);
static text *string_to_text(char *str);
static char *flatten_reloptions(Oid relid);
context.prettyFlags = pretty ? PRETTYFLAG_PAREN | PRETTYFLAG_INDENT : PRETTYFLAG_INDENT;
context.wrapColumn = WRAP_COLUMN_DEFAULT;
context.indentLevel = PRETTYINDENT_STD;
+ context.special_exprkind = EXPR_KIND_NONE;
get_rule_expr(qual, &context, false);
appendStringInfo(&buf, "EXECUTE PROCEDURE %s(",
generate_function_name(trigrec->tgfoid, 0,
NIL, NULL,
- false, NULL));
+ false, NULL, EXPR_KIND_NONE));
if (trigrec->tgnargs > 0)
{
context.prettyFlags = prettyFlags;
context.wrapColumn = WRAP_COLUMN_DEFAULT;
context.indentLevel = startIndent;
+ context.special_exprkind = EXPR_KIND_NONE;
get_rule_expr(expr, &context, showimplicit);
context.prettyFlags = prettyFlags;
context.wrapColumn = WRAP_COLUMN_DEFAULT;
context.indentLevel = PRETTYINDENT_STD;
+ context.special_exprkind = EXPR_KIND_NONE;
set_deparse_for_query(&dpns, query, NIL);
context.prettyFlags = prettyFlags;
context.wrapColumn = wrapColumn;
context.indentLevel = startIndent;
+ context.special_exprkind = EXPR_KIND_NONE;
set_deparse_for_query(&dpns, query, parentnamespace);
SortGroupClause *srt = (SortGroupClause *) lfirst(l);
appendStringInfoString(buf, sep);
- get_rule_sortgroupclause(srt, query->targetList,
+ get_rule_sortgroupclause(srt->tleSortGroupRef, query->targetList,
false, context);
sep = ", ";
}
}
/* Add the GROUP BY clause if given */
- if (query->groupClause != NULL)
+ if (query->groupClause != NULL || query->groupingSets != NULL)
{
+ ParseExprKind save_exprkind;
+
appendContextKeyword(context, " GROUP BY ",
-PRETTYINDENT_STD, PRETTYINDENT_STD, 1);
- sep = "";
- foreach(l, query->groupClause)
+
+ save_exprkind = context->special_exprkind;
+ context->special_exprkind = EXPR_KIND_GROUP_BY;
+
+ if (query->groupingSets == NIL)
{
- SortGroupClause *grp = (SortGroupClause *) lfirst(l);
+ sep = "";
+ foreach(l, query->groupClause)
+ {
+ SortGroupClause *grp = (SortGroupClause *) lfirst(l);
- appendStringInfoString(buf, sep);
- get_rule_sortgroupclause(grp, query->targetList,
- false, context);
- sep = ", ";
+ appendStringInfoString(buf, sep);
+ get_rule_sortgroupclause(grp->tleSortGroupRef, query->targetList,
+ false, context);
+ sep = ", ";
+ }
}
+ else
+ {
+ sep = "";
+ foreach(l, query->groupingSets)
+ {
+ GroupingSet *grp = lfirst(l);
+
+ appendStringInfoString(buf, sep);
+ get_rule_groupingset(grp, query->targetList, true, context);
+ sep = ", ";
+ }
+ }
+
+ context->special_exprkind = save_exprkind;
}
/* Add the HAVING clause if given */
* different from a whole-row Var). We need to call get_variable
* directly so that we can tell it to do the right thing.
*/
- if (tle->expr && IsA(tle->expr, Var))
+ if (tle->expr && (IsA(tle->expr, Var)))
{
attname = get_variable((Var *) tle->expr, 0, true, context);
}
* Also returns the expression tree, so caller need not find it again.
*/
static Node *
-get_rule_sortgroupclause(SortGroupClause *srt, List *tlist, bool force_colno,
+get_rule_sortgroupclause(Index ref, List *tlist, bool force_colno,
deparse_context *context)
{
StringInfo buf = context->buf;
TargetEntry *tle;
Node *expr;
- tle = get_sortgroupclause_tle(srt, tlist);
+ tle = get_sortgroupref_tle(ref, tlist);
expr = (Node *) tle->expr;
/*
- * Use column-number form if requested by caller. Otherwise, if
- * expression is a constant, force it to be dumped with an explicit cast
- * as decoration --- this is because a simple integer constant is
- * ambiguous (and will be misinterpreted by findTargetlistEntry()) if we
- * dump it without any decoration. Otherwise, just dump the expression
- * normally.
+ * Use column-number form if requested by caller. Otherwise, if expression
+ * is a constant, force it to be dumped with an explicit cast as decoration
+ * --- this is because a simple integer constant is ambiguous (and will be
+ * misinterpreted by findTargetlistEntry()) if we dump it without any
+ * decoration. If it's anything more complex than a simple Var, then force
+ * extra parens around it, to ensure it can't be misinterpreted as a cube()
+ * or rollup() construct.
*/
if (force_colno)
{
}
else if (expr && IsA(expr, Const))
get_const_expr((Const *) expr, context, 1);
+ else if (!expr || IsA(expr, Var))
+ get_rule_expr(expr, context, true);
else
+ {
+ /*
+ * We must force parens for function-like expressions even if
+ * PRETTY_PAREN is off, since those are the ones in danger of
+ * misparsing. For other expressions we need to force them
+ * only if PRETTY_PAREN is on, since otherwise the expression
+ * will output them itself. (We can't skip the parens.)
+ */
+ bool need_paren = (PRETTY_PAREN(context)
+ || IsA(expr, FuncExpr)
+ || IsA(expr, Aggref)
+ || IsA(expr, WindowFunc));
+ if (need_paren)
+ appendStringInfoString(context->buf, "(");
get_rule_expr(expr, context, true);
+ if (need_paren)
+ appendStringInfoString(context->buf, ")");
+ }
return expr;
}
+/*
+ * Display a GroupingSet
+ */
+static void
+get_rule_groupingset(GroupingSet *gset, List *targetlist,
+ bool omit_parens, deparse_context *context)
+{
+ ListCell *l;
+ StringInfo buf = context->buf;
+ bool omit_child_parens = true;
+ char *sep = "";
+
+ switch (gset->kind)
+ {
+ case GROUPING_SET_EMPTY:
+ appendStringInfoString(buf, "()");
+ return;
+
+ case GROUPING_SET_SIMPLE:
+ {
+ if (!omit_parens || list_length(gset->content) != 1)
+ appendStringInfoString(buf, "(");
+
+ foreach(l, gset->content)
+ {
+ Index ref = lfirst_int(l);
+
+ appendStringInfoString(buf, sep);
+ get_rule_sortgroupclause(ref, targetlist,
+ false, context);
+ sep = ", ";
+ }
+
+ if (!omit_parens || list_length(gset->content) != 1)
+ appendStringInfoString(buf, ")");
+ }
+ return;
+
+ case GROUPING_SET_ROLLUP:
+ appendStringInfoString(buf, "ROLLUP(");
+ break;
+ case GROUPING_SET_CUBE:
+ appendStringInfoString(buf, "CUBE(");
+ break;
+ case GROUPING_SET_SETS:
+ appendStringInfoString(buf, "GROUPING SETS (");
+ omit_child_parens = false;
+ break;
+ }
+
+ foreach(l, gset->content)
+ {
+ appendStringInfoString(buf, sep);
+ get_rule_groupingset(lfirst(l), targetlist, omit_child_parens, context);
+ sep = ", ";
+ }
+
+ appendStringInfoString(buf, ")");
+}
+
/*
* Display an ORDER BY list.
*/
TypeCacheEntry *typentry;
appendStringInfoString(buf, sep);
- sortexpr = get_rule_sortgroupclause(srt, targetList,
+ sortexpr = get_rule_sortgroupclause(srt->tleSortGroupRef, targetList,
force_colno, context);
sortcoltype = exprType(sortexpr);
/* See whether operator is default < or > for datatype */
SortGroupClause *grp = (SortGroupClause *) lfirst(l);
appendStringInfoString(buf, sep);
- get_rule_sortgroupclause(grp, targetList,
+ get_rule_sortgroupclause(grp->tleSortGroupRef, targetList,
false, context);
sep = ", ";
}
get_agg_expr((Aggref *) node, context);
break;
+ case T_GroupingFunc:
+ {
+ GroupingFunc *gexpr = (GroupingFunc *) node;
+
+ appendStringInfoString(buf, "GROUPING(");
+ get_rule_expr((Node *) gexpr->args, context, true);
+ appendStringInfoChar(buf, ')');
+ }
+ break;
+
case T_WindowFunc:
get_windowfunc_expr((WindowFunc *) node, context);
break;
generate_function_name(funcoid, nargs,
argnames, argtypes,
expr->funcvariadic,
- &use_variadic));
+ &use_variadic,
+ context->special_exprkind));
nargs = 0;
foreach(l, expr->args)
{
generate_function_name(aggref->aggfnoid, nargs,
NIL, argtypes,
aggref->aggvariadic,
- &use_variadic),
+ &use_variadic,
+ context->special_exprkind),
(aggref->aggdistinct != NIL) ? "DISTINCT " : "");
if (AGGKIND_IS_ORDERED_SET(aggref->aggkind))
appendStringInfo(buf, "%s(",
generate_function_name(wfunc->winfnoid, nargs,
argnames, argtypes,
- false, NULL));
+ false, NULL,
+ context->special_exprkind));
/* winstar can be set only in zero-argument aggregates */
if (wfunc->winstar)
appendStringInfoChar(buf, '*');
*/
static char *
generate_function_name(Oid funcid, int nargs, List *argnames, Oid *argtypes,
- bool has_variadic, bool *use_variadic_p)
+ bool has_variadic, bool *use_variadic_p,
+ ParseExprKind special_exprkind)
{
char *result;
HeapTuple proctup;
int p_nvargs;
Oid p_vatype;
Oid *p_true_typeids;
+ bool force_qualify = false;
proctup = SearchSysCache1(PROCOID, ObjectIdGetDatum(funcid));
if (!HeapTupleIsValid(proctup))
procform = (Form_pg_proc) GETSTRUCT(proctup);
proname = NameStr(procform->proname);
+ /*
+ * Due to parser hacks to avoid needing to reserve CUBE, we need to force
+ * qualification in some special cases.
+ */
+ if (special_exprkind == EXPR_KIND_GROUP_BY)
+ {
+ if (strcmp(proname, "cube") == 0 || strcmp(proname, "rollup") == 0)
+ force_qualify = true;
+ }
+
/*
* Determine whether VARIADIC should be printed. We must do this first
* since it affects the lookup rules in func_get_detail().
/*
* The idea here is to schema-qualify only if the parser would fail to
* resolve the correct function given the unqualified func name with the
- * specified argtypes and VARIADIC flag.
+ * specified argtypes and VARIADIC flag. But if we already decided to
+ * force qualification, then we can skip the lookup and pretend we didn't
+ * find it.
*/
- p_result = func_get_detail(list_make1(makeString(proname)),
- NIL, argnames, nargs, argtypes,
- !use_variadic, true,
- &p_funcid, &p_rettype,
- &p_retset, &p_nvargs, &p_vatype,
- &p_true_typeids, NULL);
+ if (!force_qualify)
+ p_result = func_get_detail(list_make1(makeString(proname)),
+ NIL, argnames, nargs, argtypes,
+ !use_variadic, true,
+ &p_funcid, &p_rettype,
+ &p_retset, &p_nvargs, &p_vatype,
+ &p_true_typeids, NULL);
+ else
+ {
+ p_result = FUNCDETAIL_NOTFOUND;
+ p_funcid = InvalidOid;
+ }
+
if ((p_result == FUNCDETAIL_NORMAL ||
p_result == FUNCDETAIL_AGGREGATE ||
p_result == FUNCDETAIL_WINDOWFUNC) &&
* groupExprs - list of expressions being grouped by
* input_rows - number of rows estimated to arrive at the group/unique
* filter step
+ * pgset - NULL, or a List** pointing to a grouping set to filter the
+ * groupExprs against
*
* Given the lack of any cross-correlation statistics in the system, it's
* impossible to do anything really trustworthy with GROUP BY conditions
* but we don't have the info to do better).
*/
double
-estimate_num_groups(PlannerInfo *root, List *groupExprs, double input_rows)
+estimate_num_groups(PlannerInfo *root, List *groupExprs, double input_rows,
+ List **pgset)
{
List *varinfos = NIL;
double numdistinct;
ListCell *l;
+ int i;
/*
* We don't ever want to return an estimate of zero groups, as that tends
* for normal cases with GROUP BY or DISTINCT, but it is possible for
* corner cases with set operations.)
*/
- if (groupExprs == NIL)
+ if (groupExprs == NIL || (pgset && list_length(*pgset) < 1))
return 1.0;
/*
*/
numdistinct = 1.0;
+ i = 0;
foreach(l, groupExprs)
{
Node *groupexpr = (Node *) lfirst(l);
List *varshere;
ListCell *l2;
+ /* is expression in this grouping set? */
+ if (pgset && !list_member_int(*pgset, i++))
+ continue;
+
/* Short-circuit for expressions returning boolean */
if (exprType(groupexpr) == BOOLOID)
{
*/
/* yyyymmddN */
-#define CATALOG_VERSION_NO 201505152
+#define CATALOG_VERSION_NO 201505153
#endif
extern void ExplainPropertyList(const char *qlabel, List *data,
ExplainState *es);
+extern void ExplainPropertyListNested(const char *qlabel, List *data,
+ ExplainState *es);
extern void ExplainPropertyText(const char *qlabel, const char *value,
ExplainState *es);
extern void ExplainPropertyInteger(const char *qlabel, int value,
--- /dev/null
+/*
+ * bipartite_match.h
+ *
+ * Copyright (c) 2015, PostgreSQL Global Development Group
+ *
+ * src/include/lib/bipartite_match.h
+ */
+#ifndef BIPARTITE_MATCH_H
+#define BIPARTITE_MATCH_H
+
+/*
+ * Given a bipartite graph consisting of nodes U numbered 1..nU, nodes V
+ * numbered 1..nV, and an adjacency map of undirected edges in the form
+ * adjacency[u] = [n, v1, v2, v3, ... vn], we wish to find a "maximum
+ * cardinality matching", which is defined as follows: a matching is a subset
+ * of the original edges such that no node has more than one edge, and a
+ * matching has maximum cardinality if there exists no other matching with a
+ * greater number of edges.
+ *
+ * This matching has various applications in graph theory, but the motivating
+ * example here is Dilworth's theorem: a partially-ordered set can be divided
+ * into the minimum number of chains (i.e. subsets X where x1 < x2 < x3 ...) by
+ * a bipartite graph construction. This gives us a polynomial-time solution to
+ * the problem of planning a collection of grouping sets with the provably
+ * minimal number of sort operations.
+ */
+typedef struct bipartite_match_state
+{
+ int u_size; /* size of U */
+ int v_size; /* size of V */
+ int matching; /* number of edges in matching */
+ short **adjacency; /* adjacency[u] = [n, v1,v2,v3,...,vn] */
+ short *pair_uv; /* pair_uv[u] -> v */
+ short *pair_vu; /* pair_vu[v] -> u */
+
+ float *distance; /* distance[u], float so we can have +inf */
+ short *queue; /* queue storage for breadth search */
+} BipartiteMatchState;
+
+BipartiteMatchState *BipartiteMatch(int u_size, int v_size, short **adjacency);
+
+void BipartiteMatchFree(BipartiteMatchState *state);
+
+#endif /* BIPARTITE_MATCH_H */
#include "utils/reltrigger.h"
#include "utils/sortsupport.h"
#include "utils/tuplestore.h"
+#include "utils/tuplesort.h"
/* ----------------
int aggno; /* ID number for agg within its plan node */
} AggrefExprState;
+/* ----------------
+ * GroupingFuncExprState node
+ *
+ * The list of column numbers refers to the input tuples of the Agg node to
+ * which the GroupingFunc belongs, and may contain 0 for references to columns
+ * that are only present in grouping sets processed by different Agg nodes (and
+ * which are therefore always considered "grouping" here).
+ * ----------------
+ */
+typedef struct GroupingFuncExprState
+{
+ ExprState xprstate;
+ struct AggState *aggstate;
+ List *clauses; /* integer list of column numbers */
+} GroupingFuncExprState;
+
/* ----------------
* WindowFuncExprState node
* ----------------
/* these structs are private in nodeAgg.c: */
typedef struct AggStatePerAggData *AggStatePerAgg;
typedef struct AggStatePerGroupData *AggStatePerGroup;
+typedef struct AggStatePerPhaseData *AggStatePerPhase;
typedef struct AggState
{
ScanState ss; /* its first field is NodeTag */
List *aggs; /* all Aggref nodes in targetlist & quals */
int numaggs; /* length of list (could be zero!) */
- FmgrInfo *eqfunctions; /* per-grouping-field equality fns */
+ AggStatePerPhase phase; /* pointer to current phase data */
+ int numphases; /* number of phases */
+ int current_phase; /* current phase number */
FmgrInfo *hashfunctions; /* per-grouping-field hash fns */
AggStatePerAgg peragg; /* per-Aggref information */
- MemoryContext aggcontext; /* memory context for long-lived data */
+ ExprContext **aggcontexts; /* econtexts for long-lived data (per GS) */
ExprContext *tmpcontext; /* econtext for input expressions */
AggStatePerAgg curperagg; /* identifies currently active aggregate */
+ bool input_done; /* indicates end of input */
bool agg_done; /* indicates completion of Agg scan */
+ int projected_set; /* The last projected grouping set */
+ int current_set; /* The current grouping set being evaluated */
+ Bitmapset *grouped_cols; /* grouped cols in current projection */
+ List *all_grouped_cols; /* list of all grouped cols in DESC order */
+ /* These fields are for grouping set phase data */
+ int maxsets; /* The max number of sets in any phase */
+ AggStatePerPhase phases; /* array of all phases */
+ Tuplesortstate *sort_in; /* sorted input to phases > 0 */
+ Tuplesortstate *sort_out; /* input is copied here for next phase */
+ TupleTableSlot *sort_slot; /* slot for sort results */
/* these fields are used in AGG_PLAIN and AGG_SORTED modes: */
AggStatePerGroup pergroup; /* per-Aggref-per-group working state */
HeapTuple grp_firstTuple; /* copy of first tuple of current group */
extern DefElem *makeDefElemExtended(char *nameSpace, char *name, Node *arg,
DefElemAction defaction);
+extern GroupingSet *makeGroupingSet(GroupingSetKind kind, List *content, int location);
+
#endif /* MAKEFUNC_H */
T_Const,
T_Param,
T_Aggref,
+ T_GroupingFunc,
T_WindowFunc,
T_ArrayRef,
T_FuncExpr,
T_GenericExprState,
T_WholeRowVarExprState,
T_AggrefExprState,
+ T_GroupingFuncExprState,
T_WindowFuncExprState,
T_ArrayRefExprState,
T_FuncExprState,
T_RangeTblFunction,
T_WithCheckOption,
T_SortGroupClause,
+ T_GroupingSet,
T_WindowClause,
T_PrivGrantee,
T_FuncWithArgs,
List *groupClause; /* a list of SortGroupClause's */
+ List *groupingSets; /* a list of GroupingSet's if present */
+
Node *havingQual; /* qualifications applied to groups */
List *windowClause; /* a list of WindowClause's */
bool hashable; /* can eqop be implemented by hashing? */
} SortGroupClause;
+/*
+ * GroupingSet -
+ * representation of CUBE, ROLLUP and GROUPING SETS clauses
+ *
+ * In a Query with grouping sets, the groupClause contains a flat list of
+ * SortGroupClause nodes for each distinct expression used. The actual
+ * structure of the GROUP BY clause is given by the groupingSets tree.
+ *
+ * In the raw parser output, GroupingSet nodes (of all types except SIMPLE
+ * which is not used) are potentially mixed in with the expressions in the
+ * groupClause of the SelectStmt. (An expression can't contain a GroupingSet,
+ * but a list may mix GroupingSet and expression nodes.) At this stage, the
+ * content of each node is a list of expressions, some of which may be RowExprs
+ * which represent sublists rather than actual row constructors, and nested
+ * GroupingSet nodes where legal in the grammar. The structure directly
+ * reflects the query syntax.
+ *
+ * In parse analysis, the transformed expressions are used to build the tlist
+ * and groupClause list (of SortGroupClause nodes), and the groupingSets tree
+ * is eventually reduced to a fixed format:
+ *
+ * EMPTY nodes represent (), and obviously have no content
+ *
+ * SIMPLE nodes represent a list of one or more expressions to be treated as an
+ * atom by the enclosing structure; the content is an integer list of
+ * ressortgroupref values (see SortGroupClause)
+ *
+ * CUBE and ROLLUP nodes contain a list of one or more SIMPLE nodes.
+ *
+ * SETS nodes contain a list of EMPTY, SIMPLE, CUBE or ROLLUP nodes, but after
+ * parse analysis they cannot contain more SETS nodes; enough of the syntactic
+ * transforms of the spec have been applied that we no longer have arbitrarily
+ * deep nesting (though we still preserve the use of cube/rollup).
+ *
+ * Note that if the groupingSets tree contains no SIMPLE nodes (only EMPTY
+ * nodes at the leaves), then the groupClause will be empty, but this is still
+ * an aggregation query (similar to using aggs or HAVING without GROUP BY).
+ *
+ * As an example, the following clause:
+ *
+ * GROUP BY GROUPING SETS ((a,b), CUBE(c,(d,e)))
+ *
+ * looks like this after raw parsing:
+ *
+ * SETS( RowExpr(a,b) , CUBE( c, RowExpr(d,e) ) )
+ *
+ * and parse analysis converts it to:
+ *
+ * SETS( SIMPLE(1,2), CUBE( SIMPLE(3), SIMPLE(4,5) ) )
+ */
+typedef enum
+{
+ GROUPING_SET_EMPTY,
+ GROUPING_SET_SIMPLE,
+ GROUPING_SET_ROLLUP,
+ GROUPING_SET_CUBE,
+ GROUPING_SET_SETS
+} GroupingSetKind;
+
+typedef struct GroupingSet
+{
+ NodeTag type;
+ GroupingSetKind kind;
+ List *content;
+ int location;
+} GroupingSet;
+
/*
* WindowClause -
* transformed representation of WINDOW and OVER clauses
extern List *list_union_oid(const List *list1, const List *list2);
extern List *list_intersection(const List *list1, const List *list2);
+extern List *list_intersection_int(const List *list1, const List *list2);
-/* currently, there's no need for list_intersection_int etc */
+/* currently, there's no need for list_intersection_ptr etc */
extern List *list_difference(const List *list1, const List *list2);
extern List *list_difference_ptr(const List *list1, const List *list2);
AttrNumber *grpColIdx; /* their indexes in the target list */
Oid *grpOperators; /* equality operators to compare with */
long numGroups; /* estimated number of groups in input */
+ List *groupingSets; /* grouping sets to use */
+ List *chain; /* chained Agg/Sort nodes */
} Agg;
/* ----------------
int location; /* token location, or -1 if unknown */
} Aggref;
+/*
+ * GroupingFunc
+ *
+ * A GroupingFunc is a GROUPING(...) expression, which behaves in many ways
+ * like an aggregate function (e.g. it "belongs" to a specific query level,
+ * which might not be the one immediately containing it), but also differs in
+ * an important respect: it never evaluates its arguments, they merely
+ * designate expressions from the GROUP BY clause of the query level to which
+ * it belongs.
+ *
+ * The spec defines the evaluation of GROUPING() purely by syntactic
+ * replacement, but we make it a real expression for optimization purposes so
+ * that one Agg node can handle multiple grouping sets at once. Evaluating the
+ * result only needs the column positions to check against the grouping set
+ * being projected. However, for EXPLAIN to produce meaningful output, we have
+ * to keep the original expressions around, since expression deparse does not
+ * give us any feasible way to get at the GROUP BY clause.
+ *
+ * Also, we treat two GroupingFunc nodes as equal if they have equal arguments
+ * lists and agglevelsup, without comparing the refs and cols annotations.
+ *
+ * In raw parse output we have only the args list; parse analysis fills in the
+ * refs list, and the planner fills in the cols list.
+ */
+typedef struct GroupingFunc
+{
+ Expr xpr;
+ List *args; /* arguments, not evaluated but kept for
+ * benefit of EXPLAIN etc. */
+ List *refs; /* ressortgrouprefs of arguments */
+ List *cols; /* actual column positions set by planner */
+ Index agglevelsup; /* same as Aggref.agglevelsup */
+ int location; /* token location */
+} GroupingFunc;
+
/*
* WindowFunc
*/
/* optional private data for join_search_hook, e.g., GEQO */
void *join_search_private;
+
+ /* for GroupingFunc fixup in setrefs */
+ AttrNumber *grouping_map;
} PlannerInfo;
extern Agg *make_agg(PlannerInfo *root, List *tlist, List *qual,
AggStrategy aggstrategy, const AggClauseCosts *aggcosts,
int numGroupCols, AttrNumber *grpColIdx, Oid *grpOperators,
+ List *groupingSets,
long numGroups,
Plan *lefttree);
extern WindowAgg *make_windowagg(PlannerInfo *root, List *tlist,
extern List *get_sortgrouplist_exprs(List *sgClauses,
List *targetList);
+extern SortGroupClause *get_sortgroupref_clause(Index sortref,
+ List *clauses);
+
extern Oid *extract_grouping_ops(List *groupClause);
extern AttrNumber *extract_grouping_cols(List *groupClause, List *tlist);
extern bool grouping_is_sortable(List *groupClause);
PG_KEYWORD("create", CREATE, RESERVED_KEYWORD)
PG_KEYWORD("cross", CROSS, TYPE_FUNC_NAME_KEYWORD)
PG_KEYWORD("csv", CSV, UNRESERVED_KEYWORD)
+PG_KEYWORD("cube", CUBE, UNRESERVED_KEYWORD)
PG_KEYWORD("current", CURRENT_P, UNRESERVED_KEYWORD)
PG_KEYWORD("current_catalog", CURRENT_CATALOG, RESERVED_KEYWORD)
PG_KEYWORD("current_date", CURRENT_DATE, RESERVED_KEYWORD)
PG_KEYWORD("granted", GRANTED, UNRESERVED_KEYWORD)
PG_KEYWORD("greatest", GREATEST, COL_NAME_KEYWORD)
PG_KEYWORD("group", GROUP_P, RESERVED_KEYWORD)
+PG_KEYWORD("grouping", GROUPING, COL_NAME_KEYWORD)
PG_KEYWORD("handler", HANDLER, UNRESERVED_KEYWORD)
PG_KEYWORD("having", HAVING, RESERVED_KEYWORD)
PG_KEYWORD("header", HEADER_P, UNRESERVED_KEYWORD)
PG_KEYWORD("right", RIGHT, TYPE_FUNC_NAME_KEYWORD)
PG_KEYWORD("role", ROLE, UNRESERVED_KEYWORD)
PG_KEYWORD("rollback", ROLLBACK, UNRESERVED_KEYWORD)
+PG_KEYWORD("rollup", ROLLUP, UNRESERVED_KEYWORD)
PG_KEYWORD("row", ROW, COL_NAME_KEYWORD)
PG_KEYWORD("rows", ROWS, UNRESERVED_KEYWORD)
PG_KEYWORD("rule", RULE, UNRESERVED_KEYWORD)
PG_KEYWORD("session_user", SESSION_USER, RESERVED_KEYWORD)
PG_KEYWORD("set", SET, UNRESERVED_KEYWORD)
PG_KEYWORD("setof", SETOF, COL_NAME_KEYWORD)
+PG_KEYWORD("sets", SETS, UNRESERVED_KEYWORD)
PG_KEYWORD("share", SHARE, UNRESERVED_KEYWORD)
PG_KEYWORD("show", SHOW, UNRESERVED_KEYWORD)
PG_KEYWORD("similar", SIMILAR, TYPE_FUNC_NAME_KEYWORD)
extern void transformAggregateCall(ParseState *pstate, Aggref *agg,
List *args, List *aggorder,
bool agg_distinct);
+
+extern Node *transformGroupingFunc(ParseState *pstate, GroupingFunc *g);
+
extern void transformWindowFuncCall(ParseState *pstate, WindowFunc *wfunc,
WindowDef *windef);
extern void parseCheckAggregates(ParseState *pstate, Query *qry);
+extern List *expand_grouping_sets(List *groupingSets, int limit);
+
extern int get_aggregate_argtypes(Aggref *aggref, Oid *inputTypes);
extern Oid resolve_aggregate_transtype(Oid aggfuncid,
extern Node *transformLimitClause(ParseState *pstate, Node *clause,
ParseExprKind exprKind, const char *constructName);
extern List *transformGroupClause(ParseState *pstate, List *grouplist,
+ List **groupingSets,
List **targetlist, List *sortClause,
ParseExprKind exprKind, bool useSQL99);
extern List *transformSortClause(ParseState *pstate, List *orderlist,
Selectivity *rightstart, Selectivity *rightend);
extern double estimate_num_groups(PlannerInfo *root, List *groupExprs,
- double input_rows);
+ double input_rows, List **pgset);
extern Selectivity estimate_hash_bucketsize(PlannerInfo *root, Node *hashkey,
double nbuckets);
--- /dev/null
+--
+-- grouping sets
+--
+-- test data sources
+create temp view gstest1(a,b,v)
+ as values (1,1,10),(1,1,11),(1,2,12),(1,2,13),(1,3,14),
+ (2,3,15),
+ (3,3,16),(3,4,17),
+ (4,1,18),(4,1,19);
+create temp table gstest2 (a integer, b integer, c integer, d integer,
+ e integer, f integer, g integer, h integer);
+copy gstest2 from stdin;
+create temp table gstest3 (a integer, b integer, c integer, d integer);
+copy gstest3 from stdin;
+alter table gstest3 add primary key (a);
+create temp table gstest_empty (a integer, b integer, v integer);
+create function gstest_data(v integer, out a integer, out b integer)
+ returns setof record
+ as $f$
+ begin
+ return query select v, i from generate_series(1,3) i;
+ end;
+ $f$ language plpgsql;
+-- basic functionality
+-- simple rollup with multiple plain aggregates, with and without ordering
+-- (and with ordering differing from grouping)
+select a, b, grouping(a,b), sum(v), count(*), max(v)
+ from gstest1 group by rollup (a,b);
+ a | b | grouping | sum | count | max
+---+---+----------+-----+-------+-----
+ 1 | 1 | 0 | 21 | 2 | 11
+ 1 | 2 | 0 | 25 | 2 | 13
+ 1 | 3 | 0 | 14 | 1 | 14
+ 1 | | 1 | 60 | 5 | 14
+ 2 | 3 | 0 | 15 | 1 | 15
+ 2 | | 1 | 15 | 1 | 15
+ 3 | 3 | 0 | 16 | 1 | 16
+ 3 | 4 | 0 | 17 | 1 | 17
+ 3 | | 1 | 33 | 2 | 17
+ 4 | 1 | 0 | 37 | 2 | 19
+ 4 | | 1 | 37 | 2 | 19
+ | | 3 | 145 | 10 | 19
+(12 rows)
+
+select a, b, grouping(a,b), sum(v), count(*), max(v)
+ from gstest1 group by rollup (a,b) order by a,b;
+ a | b | grouping | sum | count | max
+---+---+----------+-----+-------+-----
+ 1 | 1 | 0 | 21 | 2 | 11
+ 1 | 2 | 0 | 25 | 2 | 13
+ 1 | 3 | 0 | 14 | 1 | 14
+ 1 | | 1 | 60 | 5 | 14
+ 2 | 3 | 0 | 15 | 1 | 15
+ 2 | | 1 | 15 | 1 | 15
+ 3 | 3 | 0 | 16 | 1 | 16
+ 3 | 4 | 0 | 17 | 1 | 17
+ 3 | | 1 | 33 | 2 | 17
+ 4 | 1 | 0 | 37 | 2 | 19
+ 4 | | 1 | 37 | 2 | 19
+ | | 3 | 145 | 10 | 19
+(12 rows)
+
+select a, b, grouping(a,b), sum(v), count(*), max(v)
+ from gstest1 group by rollup (a,b) order by b desc, a;
+ a | b | grouping | sum | count | max
+---+---+----------+-----+-------+-----
+ 1 | | 1 | 60 | 5 | 14
+ 2 | | 1 | 15 | 1 | 15
+ 3 | | 1 | 33 | 2 | 17
+ 4 | | 1 | 37 | 2 | 19
+ | | 3 | 145 | 10 | 19
+ 3 | 4 | 0 | 17 | 1 | 17
+ 1 | 3 | 0 | 14 | 1 | 14
+ 2 | 3 | 0 | 15 | 1 | 15
+ 3 | 3 | 0 | 16 | 1 | 16
+ 1 | 2 | 0 | 25 | 2 | 13
+ 1 | 1 | 0 | 21 | 2 | 11
+ 4 | 1 | 0 | 37 | 2 | 19
+(12 rows)
+
+select a, b, grouping(a,b), sum(v), count(*), max(v)
+ from gstest1 group by rollup (a,b) order by coalesce(a,0)+coalesce(b,0);
+ a | b | grouping | sum | count | max
+---+---+----------+-----+-------+-----
+ | | 3 | 145 | 10 | 19
+ 1 | | 1 | 60 | 5 | 14
+ 1 | 1 | 0 | 21 | 2 | 11
+ 2 | | 1 | 15 | 1 | 15
+ 3 | | 1 | 33 | 2 | 17
+ 1 | 2 | 0 | 25 | 2 | 13
+ 1 | 3 | 0 | 14 | 1 | 14
+ 4 | | 1 | 37 | 2 | 19
+ 4 | 1 | 0 | 37 | 2 | 19
+ 2 | 3 | 0 | 15 | 1 | 15
+ 3 | 3 | 0 | 16 | 1 | 16
+ 3 | 4 | 0 | 17 | 1 | 17
+(12 rows)
+
+-- various types of ordered aggs
+select a, b, grouping(a,b),
+ array_agg(v order by v),
+ string_agg(v::text, ':' order by v desc),
+ percentile_disc(0.5) within group (order by v),
+ rank(1,2,12) within group (order by a,b,v)
+ from gstest1 group by rollup (a,b) order by a,b;
+ a | b | grouping | array_agg | string_agg | percentile_disc | rank
+---+---+----------+---------------------------------+-------------------------------+-----------------+------
+ 1 | 1 | 0 | {10,11} | 11:10 | 10 | 3
+ 1 | 2 | 0 | {12,13} | 13:12 | 12 | 1
+ 1 | 3 | 0 | {14} | 14 | 14 | 1
+ 1 | | 1 | {10,11,12,13,14} | 14:13:12:11:10 | 12 | 3
+ 2 | 3 | 0 | {15} | 15 | 15 | 1
+ 2 | | 1 | {15} | 15 | 15 | 1
+ 3 | 3 | 0 | {16} | 16 | 16 | 1
+ 3 | 4 | 0 | {17} | 17 | 17 | 1
+ 3 | | 1 | {16,17} | 17:16 | 16 | 1
+ 4 | 1 | 0 | {18,19} | 19:18 | 18 | 1
+ 4 | | 1 | {18,19} | 19:18 | 18 | 1
+ | | 3 | {10,11,12,13,14,15,16,17,18,19} | 19:18:17:16:15:14:13:12:11:10 | 14 | 3
+(12 rows)
+
+-- test usage of grouped columns in direct args of aggs
+select grouping(a), a, array_agg(b),
+ rank(a) within group (order by b nulls first),
+ rank(a) within group (order by b nulls last)
+ from (values (1,1),(1,4),(1,5),(3,1),(3,2)) v(a,b)
+ group by rollup (a) order by a;
+ grouping | a | array_agg | rank | rank
+----------+---+-------------+------+------
+ 0 | 1 | {1,4,5} | 1 | 1
+ 0 | 3 | {1,2} | 3 | 3
+ 1 | | {1,4,5,1,2} | 1 | 6
+(3 rows)
+
+-- nesting with window functions
+select a, b, sum(c), sum(sum(c)) over (order by a,b) as rsum
+ from gstest2 group by rollup (a,b) order by rsum, a, b;
+ a | b | sum | rsum
+---+---+-----+------
+ 1 | 1 | 8 | 8
+ 1 | 2 | 2 | 10
+ 1 | | 10 | 20
+ 2 | 2 | 2 | 22
+ 2 | | 2 | 24
+ | | 12 | 36
+(6 rows)
+
+-- empty input: first is 0 rows, second 1, third 3 etc.
+select a, b, sum(v), count(*) from gstest_empty group by grouping sets ((a,b),a);
+ a | b | sum | count
+---+---+-----+-------
+(0 rows)
+
+select a, b, sum(v), count(*) from gstest_empty group by grouping sets ((a,b),());
+ a | b | sum | count
+---+---+-----+-------
+ | | | 0
+(1 row)
+
+select a, b, sum(v), count(*) from gstest_empty group by grouping sets ((a,b),(),(),());
+ a | b | sum | count
+---+---+-----+-------
+ | | | 0
+ | | | 0
+ | | | 0
+(3 rows)
+
+select sum(v), count(*) from gstest_empty group by grouping sets ((),(),());
+ sum | count
+-----+-------
+ | 0
+ | 0
+ | 0
+(3 rows)
+
+-- empty input with joins tests some important code paths
+select t1.a, t2.b, sum(t1.v), count(*) from gstest_empty t1, gstest_empty t2
+ group by grouping sets ((t1.a,t2.b),());
+ a | b | sum | count
+---+---+-----+-------
+ | | | 0
+(1 row)
+
+-- simple joins, var resolution, GROUPING on join vars
+select t1.a, t2.b, grouping(t1.a, t2.b), sum(t1.v), max(t2.a)
+ from gstest1 t1, gstest2 t2
+ group by grouping sets ((t1.a, t2.b), ());
+ a | b | grouping | sum | max
+---+---+----------+------+-----
+ 1 | 1 | 0 | 420 | 1
+ 1 | 2 | 0 | 120 | 2
+ 2 | 1 | 0 | 105 | 1
+ 2 | 2 | 0 | 30 | 2
+ 3 | 1 | 0 | 231 | 1
+ 3 | 2 | 0 | 66 | 2
+ 4 | 1 | 0 | 259 | 1
+ 4 | 2 | 0 | 74 | 2
+ | | 3 | 1305 | 2
+(9 rows)
+
+select t1.a, t2.b, grouping(t1.a, t2.b), sum(t1.v), max(t2.a)
+ from gstest1 t1 join gstest2 t2 on (t1.a=t2.a)
+ group by grouping sets ((t1.a, t2.b), ());
+ a | b | grouping | sum | max
+---+---+----------+-----+-----
+ 1 | 1 | 0 | 420 | 1
+ 1 | 2 | 0 | 60 | 1
+ 2 | 2 | 0 | 15 | 2
+ | | 3 | 495 | 2
+(4 rows)
+
+select a, b, grouping(a, b), sum(t1.v), max(t2.c)
+ from gstest1 t1 join gstest2 t2 using (a,b)
+ group by grouping sets ((a, b), ());
+ a | b | grouping | sum | max
+---+---+----------+-----+-----
+ 1 | 1 | 0 | 147 | 2
+ 1 | 2 | 0 | 25 | 2
+ | | 3 | 172 | 2
+(3 rows)
+
+-- check that functionally dependent cols are not nulled
+select a, d, grouping(a,b,c)
+ from gstest3
+ group by grouping sets ((a,b), (a,c));
+ a | d | grouping
+---+---+----------
+ 1 | 1 | 1
+ 2 | 2 | 1
+ 1 | 1 | 2
+ 2 | 2 | 2
+(4 rows)
+
+-- simple rescan tests
+select a, b, sum(v.x)
+ from (values (1),(2)) v(x), gstest_data(v.x)
+ group by rollup (a,b);
+ a | b | sum
+---+---+-----
+ 1 | 1 | 1
+ 1 | 2 | 1
+ 1 | 3 | 1
+ 1 | | 3
+ 2 | 1 | 2
+ 2 | 2 | 2
+ 2 | 3 | 2
+ 2 | | 6
+ | | 9
+(9 rows)
+
+select *
+ from (values (1),(2)) v(x),
+ lateral (select a, b, sum(v.x) from gstest_data(v.x) group by rollup (a,b)) s;
+ERROR: aggregate functions are not allowed in FROM clause of their own query level
+LINE 3: lateral (select a, b, sum(v.x) from gstest_data(v.x) ...
+ ^
+-- min max optimisation should still work with GROUP BY ()
+explain (costs off)
+ select min(unique1) from tenk1 GROUP BY ();
+ QUERY PLAN
+------------------------------------------------------------
+ Result
+ InitPlan 1 (returns $0)
+ -> Limit
+ -> Index Only Scan using tenk1_unique1 on tenk1
+ Index Cond: (unique1 IS NOT NULL)
+(5 rows)
+
+-- Views with GROUPING SET queries
+CREATE VIEW gstest_view AS select a, b, grouping(a,b), sum(c), count(*), max(c)
+ from gstest2 group by rollup ((a,b,c),(c,d));
+NOTICE: view "gstest_view" will be a temporary view
+select pg_get_viewdef('gstest_view'::regclass, true);
+ pg_get_viewdef
+-------------------------------------------------------------------------------
+ SELECT gstest2.a, +
+ gstest2.b, +
+ GROUPING(gstest2.a, gstest2.b) AS "grouping", +
+ sum(gstest2.c) AS sum, +
+ count(*) AS count, +
+ max(gstest2.c) AS max +
+ FROM gstest2 +
+ GROUP BY ROLLUP((gstest2.a, gstest2.b, gstest2.c), (gstest2.c, gstest2.d));
+(1 row)
+
+-- Nested queries with 3 or more levels of nesting
+select(select (select grouping(a,b) from (values (1)) v2(c)) from (values (1,2)) v1(a,b) group by (a,b)) from (values(6,7)) v3(e,f) GROUP BY ROLLUP(e,f);
+ grouping
+----------
+ 0
+ 0
+ 0
+(3 rows)
+
+select(select (select grouping(e,f) from (values (1)) v2(c)) from (values (1,2)) v1(a,b) group by (a,b)) from (values(6,7)) v3(e,f) GROUP BY ROLLUP(e,f);
+ grouping
+----------
+ 0
+ 1
+ 3
+(3 rows)
+
+select(select (select grouping(c) from (values (1)) v2(c) GROUP BY c) from (values (1,2)) v1(a,b) group by (a,b)) from (values(6,7)) v3(e,f) GROUP BY ROLLUP(e,f);
+ grouping
+----------
+ 0
+ 0
+ 0
+(3 rows)
+
+-- Combinations of operations
+select a, b, c, d from gstest2 group by rollup(a,b),grouping sets(c,d);
+ a | b | c | d
+---+---+---+---
+ 1 | 1 | 1 |
+ 1 | | 1 |
+ | | 1 |
+ 1 | 1 | 2 |
+ 1 | 2 | 2 |
+ 1 | | 2 |
+ 2 | 2 | 2 |
+ 2 | | 2 |
+ | | 2 |
+ 1 | 1 | | 1
+ 1 | | | 1
+ | | | 1
+ 1 | 1 | | 2
+ 1 | 2 | | 2
+ 1 | | | 2
+ 2 | 2 | | 2
+ 2 | | | 2
+ | | | 2
+(18 rows)
+
+select a, b from (values (1,2),(2,3)) v(a,b) group by a,b, grouping sets(a);
+ a | b
+---+---
+ 1 | 2
+ 2 | 3
+(2 rows)
+
+-- Tests for chained aggregates
+select a, b, grouping(a,b), sum(v), count(*), max(v)
+ from gstest1 group by grouping sets ((a,b),(a+1,b+1),(a+2,b+2));
+ a | b | grouping | sum | count | max
+---+---+----------+-----+-------+-----
+ 1 | 1 | 0 | 21 | 2 | 11
+ 1 | 2 | 0 | 25 | 2 | 13
+ 1 | 3 | 0 | 14 | 1 | 14
+ 2 | 3 | 0 | 15 | 1 | 15
+ 3 | 3 | 0 | 16 | 1 | 16
+ 3 | 4 | 0 | 17 | 1 | 17
+ 4 | 1 | 0 | 37 | 2 | 19
+ | | 3 | 21 | 2 | 11
+ | | 3 | 25 | 2 | 13
+ | | 3 | 14 | 1 | 14
+ | | 3 | 15 | 1 | 15
+ | | 3 | 16 | 1 | 16
+ | | 3 | 17 | 1 | 17
+ | | 3 | 37 | 2 | 19
+ | | 3 | 21 | 2 | 11
+ | | 3 | 25 | 2 | 13
+ | | 3 | 14 | 1 | 14
+ | | 3 | 15 | 1 | 15
+ | | 3 | 16 | 1 | 16
+ | | 3 | 17 | 1 | 17
+ | | 3 | 37 | 2 | 19
+(21 rows)
+
+select(select (select grouping(a,b) from (values (1)) v2(c)) from (values (1,2)) v1(a,b) group by (a,b)) from (values(6,7)) v3(e,f) GROUP BY ROLLUP((e+1),(f+1));
+ grouping
+----------
+ 0
+ 0
+ 0
+(3 rows)
+
+select(select (select grouping(a,b) from (values (1)) v2(c)) from (values (1,2)) v1(a,b) group by (a,b)) from (values(6,7)) v3(e,f) GROUP BY CUBE((e+1),(f+1)) ORDER BY (e+1),(f+1);
+ grouping
+----------
+ 0
+ 0
+ 0
+ 0
+(4 rows)
+
+select a, b, sum(c), sum(sum(c)) over (order by a,b) as rsum
+ from gstest2 group by cube (a,b) order by rsum, a, b;
+ a | b | sum | rsum
+---+---+-----+------
+ 1 | 1 | 8 | 8
+ 1 | 2 | 2 | 10
+ 1 | | 10 | 20
+ 2 | 2 | 2 | 22
+ 2 | | 2 | 24
+ | 1 | 8 | 32
+ | 2 | 4 | 36
+ | | 12 | 48
+(8 rows)
+
+select a, b, sum(c) from (values (1,1,10),(1,1,11),(1,2,12),(1,2,13),(1,3,14),(2,3,15),(3,3,16),(3,4,17),(4,1,18),(4,1,19)) v(a,b,c) group by rollup (a,b);
+ a | b | sum
+---+---+-----
+ 1 | 1 | 21
+ 1 | 2 | 25
+ 1 | 3 | 14
+ 1 | | 60
+ 2 | 3 | 15
+ 2 | | 15
+ 3 | 3 | 16
+ 3 | 4 | 17
+ 3 | | 33
+ 4 | 1 | 37
+ 4 | | 37
+ | | 145
+(12 rows)
+
+select a, b, sum(v.x)
+ from (values (1),(2)) v(x), gstest_data(v.x)
+ group by cube (a,b) order by a,b;
+ a | b | sum
+---+---+-----
+ 1 | 1 | 1
+ 1 | 2 | 1
+ 1 | 3 | 1
+ 1 | | 3
+ 2 | 1 | 2
+ 2 | 2 | 2
+ 2 | 3 | 2
+ 2 | | 6
+ | 1 | 3
+ | 2 | 3
+ | 3 | 3
+ | | 9
+(12 rows)
+
+-- Agg level check. This query should error out.
+select (select grouping(a,b) from gstest2) from gstest2 group by a,b;
+ERROR: arguments to GROUPING must be grouping expressions of the associated query level
+LINE 1: select (select grouping(a,b) from gstest2) from gstest2 grou...
+ ^
+--Nested queries
+select a, b, sum(c), count(*) from gstest2 group by grouping sets (rollup(a,b),a);
+ a | b | sum | count
+---+---+-----+-------
+ 1 | 1 | 8 | 7
+ 1 | 2 | 2 | 1
+ 1 | | 10 | 8
+ 1 | | 10 | 8
+ 2 | 2 | 2 | 1
+ 2 | | 2 | 1
+ 2 | | 2 | 1
+ | | 12 | 9
+(8 rows)
+
+-- HAVING queries
+select ten, sum(distinct four) from onek a
+group by grouping sets((ten,four),(ten))
+having exists (select 1 from onek b where sum(distinct a.four) = b.four);
+ ten | sum
+-----+-----
+ 0 | 0
+ 0 | 2
+ 0 | 2
+ 1 | 1
+ 1 | 3
+ 2 | 0
+ 2 | 2
+ 2 | 2
+ 3 | 1
+ 3 | 3
+ 4 | 0
+ 4 | 2
+ 4 | 2
+ 5 | 1
+ 5 | 3
+ 6 | 0
+ 6 | 2
+ 6 | 2
+ 7 | 1
+ 7 | 3
+ 8 | 0
+ 8 | 2
+ 8 | 2
+ 9 | 1
+ 9 | 3
+(25 rows)
+
+-- FILTER queries
+select ten, sum(distinct four) filter (where four::text ~ '123') from onek a
+group by rollup(ten);
+ ten | sum
+-----+-----
+ 0 |
+ 1 |
+ 2 |
+ 3 |
+ 4 |
+ 5 |
+ 6 |
+ 7 |
+ 8 |
+ 9 |
+ |
+(11 rows)
+
+-- More rescan tests
+select * from (values (1),(2)) v(a) left join lateral (select v.a, four, ten, count(*) from onek group by cube(four,ten)) s on true order by v.a,four,ten;
+ a | a | four | ten | count
+---+---+------+-----+-------
+ 1 | 1 | 0 | 0 | 50
+ 1 | 1 | 0 | 2 | 50
+ 1 | 1 | 0 | 4 | 50
+ 1 | 1 | 0 | 6 | 50
+ 1 | 1 | 0 | 8 | 50
+ 1 | 1 | 0 | | 250
+ 1 | 1 | 1 | 1 | 50
+ 1 | 1 | 1 | 3 | 50
+ 1 | 1 | 1 | 5 | 50
+ 1 | 1 | 1 | 7 | 50
+ 1 | 1 | 1 | 9 | 50
+ 1 | 1 | 1 | | 250
+ 1 | 1 | 2 | 0 | 50
+ 1 | 1 | 2 | 2 | 50
+ 1 | 1 | 2 | 4 | 50
+ 1 | 1 | 2 | 6 | 50
+ 1 | 1 | 2 | 8 | 50
+ 1 | 1 | 2 | | 250
+ 1 | 1 | 3 | 1 | 50
+ 1 | 1 | 3 | 3 | 50
+ 1 | 1 | 3 | 5 | 50
+ 1 | 1 | 3 | 7 | 50
+ 1 | 1 | 3 | 9 | 50
+ 1 | 1 | 3 | | 250
+ 1 | 1 | | 0 | 100
+ 1 | 1 | | 1 | 100
+ 1 | 1 | | 2 | 100
+ 1 | 1 | | 3 | 100
+ 1 | 1 | | 4 | 100
+ 1 | 1 | | 5 | 100
+ 1 | 1 | | 6 | 100
+ 1 | 1 | | 7 | 100
+ 1 | 1 | | 8 | 100
+ 1 | 1 | | 9 | 100
+ 1 | 1 | | | 1000
+ 2 | 2 | 0 | 0 | 50
+ 2 | 2 | 0 | 2 | 50
+ 2 | 2 | 0 | 4 | 50
+ 2 | 2 | 0 | 6 | 50
+ 2 | 2 | 0 | 8 | 50
+ 2 | 2 | 0 | | 250
+ 2 | 2 | 1 | 1 | 50
+ 2 | 2 | 1 | 3 | 50
+ 2 | 2 | 1 | 5 | 50
+ 2 | 2 | 1 | 7 | 50
+ 2 | 2 | 1 | 9 | 50
+ 2 | 2 | 1 | | 250
+ 2 | 2 | 2 | 0 | 50
+ 2 | 2 | 2 | 2 | 50
+ 2 | 2 | 2 | 4 | 50
+ 2 | 2 | 2 | 6 | 50
+ 2 | 2 | 2 | 8 | 50
+ 2 | 2 | 2 | | 250
+ 2 | 2 | 3 | 1 | 50
+ 2 | 2 | 3 | 3 | 50
+ 2 | 2 | 3 | 5 | 50
+ 2 | 2 | 3 | 7 | 50
+ 2 | 2 | 3 | 9 | 50
+ 2 | 2 | 3 | | 250
+ 2 | 2 | | 0 | 100
+ 2 | 2 | | 1 | 100
+ 2 | 2 | | 2 | 100
+ 2 | 2 | | 3 | 100
+ 2 | 2 | | 4 | 100
+ 2 | 2 | | 5 | 100
+ 2 | 2 | | 6 | 100
+ 2 | 2 | | 7 | 100
+ 2 | 2 | | 8 | 100
+ 2 | 2 | | 9 | 100
+ 2 | 2 | | | 1000
+(70 rows)
+
+select array(select row(v.a,s1.*) from (select two,four, count(*) from onek group by cube(two,four) order by two,four) s1) from (values (1),(2)) v(a);
+ array
+------------------------------------------------------------------------------------------------------------------------------------------------------
+ {"(1,0,0,250)","(1,0,2,250)","(1,0,,500)","(1,1,1,250)","(1,1,3,250)","(1,1,,500)","(1,,0,250)","(1,,1,250)","(1,,2,250)","(1,,3,250)","(1,,,1000)"}
+ {"(2,0,0,250)","(2,0,2,250)","(2,0,,500)","(2,1,1,250)","(2,1,3,250)","(2,1,,500)","(2,,0,250)","(2,,1,250)","(2,,2,250)","(2,,3,250)","(2,,,1000)"}
+(2 rows)
+
+-- end
# ----------
# Another group of parallel tests
# ----------
-test: brin gin gist spgist privileges security_label collate matview lock replica_identity rowsecurity object_address tablesample
+test: brin gin gist spgist privileges security_label collate matview lock replica_identity rowsecurity object_address tablesample groupingsets
# ----------
# Another group of parallel tests
test: case
test: join
test: aggregates
+test: groupingsets
test: transactions
ignore: random
test: random
--- /dev/null
+--
+-- grouping sets
+--
+
+-- test data sources
+
+create temp view gstest1(a,b,v)
+ as values (1,1,10),(1,1,11),(1,2,12),(1,2,13),(1,3,14),
+ (2,3,15),
+ (3,3,16),(3,4,17),
+ (4,1,18),(4,1,19);
+
+create temp table gstest2 (a integer, b integer, c integer, d integer,
+ e integer, f integer, g integer, h integer);
+copy gstest2 from stdin;
+1 1 1 1 1 1 1 1
+1 1 1 1 1 1 1 2
+1 1 1 1 1 1 2 2
+1 1 1 1 1 2 2 2
+1 1 1 1 2 2 2 2
+1 1 1 2 2 2 2 2
+1 1 2 2 2 2 2 2
+1 2 2 2 2 2 2 2
+2 2 2 2 2 2 2 2
+\.
+
+create temp table gstest3 (a integer, b integer, c integer, d integer);
+copy gstest3 from stdin;
+1 1 1 1
+2 2 2 2
+\.
+alter table gstest3 add primary key (a);
+
+create temp table gstest_empty (a integer, b integer, v integer);
+
+create function gstest_data(v integer, out a integer, out b integer)
+ returns setof record
+ as $f$
+ begin
+ return query select v, i from generate_series(1,3) i;
+ end;
+ $f$ language plpgsql;
+
+-- basic functionality
+
+-- simple rollup with multiple plain aggregates, with and without ordering
+-- (and with ordering differing from grouping)
+select a, b, grouping(a,b), sum(v), count(*), max(v)
+ from gstest1 group by rollup (a,b);
+select a, b, grouping(a,b), sum(v), count(*), max(v)
+ from gstest1 group by rollup (a,b) order by a,b;
+select a, b, grouping(a,b), sum(v), count(*), max(v)
+ from gstest1 group by rollup (a,b) order by b desc, a;
+select a, b, grouping(a,b), sum(v), count(*), max(v)
+ from gstest1 group by rollup (a,b) order by coalesce(a,0)+coalesce(b,0);
+
+-- various types of ordered aggs
+select a, b, grouping(a,b),
+ array_agg(v order by v),
+ string_agg(v::text, ':' order by v desc),
+ percentile_disc(0.5) within group (order by v),
+ rank(1,2,12) within group (order by a,b,v)
+ from gstest1 group by rollup (a,b) order by a,b;
+
+-- test usage of grouped columns in direct args of aggs
+select grouping(a), a, array_agg(b),
+ rank(a) within group (order by b nulls first),
+ rank(a) within group (order by b nulls last)
+ from (values (1,1),(1,4),(1,5),(3,1),(3,2)) v(a,b)
+ group by rollup (a) order by a;
+
+-- nesting with window functions
+select a, b, sum(c), sum(sum(c)) over (order by a,b) as rsum
+ from gstest2 group by rollup (a,b) order by rsum, a, b;
+
+-- empty input: first is 0 rows, second 1, third 3 etc.
+select a, b, sum(v), count(*) from gstest_empty group by grouping sets ((a,b),a);
+select a, b, sum(v), count(*) from gstest_empty group by grouping sets ((a,b),());
+select a, b, sum(v), count(*) from gstest_empty group by grouping sets ((a,b),(),(),());
+select sum(v), count(*) from gstest_empty group by grouping sets ((),(),());
+
+-- empty input with joins tests some important code paths
+select t1.a, t2.b, sum(t1.v), count(*) from gstest_empty t1, gstest_empty t2
+ group by grouping sets ((t1.a,t2.b),());
+
+-- simple joins, var resolution, GROUPING on join vars
+select t1.a, t2.b, grouping(t1.a, t2.b), sum(t1.v), max(t2.a)
+ from gstest1 t1, gstest2 t2
+ group by grouping sets ((t1.a, t2.b), ());
+
+select t1.a, t2.b, grouping(t1.a, t2.b), sum(t1.v), max(t2.a)
+ from gstest1 t1 join gstest2 t2 on (t1.a=t2.a)
+ group by grouping sets ((t1.a, t2.b), ());
+
+select a, b, grouping(a, b), sum(t1.v), max(t2.c)
+ from gstest1 t1 join gstest2 t2 using (a,b)
+ group by grouping sets ((a, b), ());
+
+-- check that functionally dependent cols are not nulled
+select a, d, grouping(a,b,c)
+ from gstest3
+ group by grouping sets ((a,b), (a,c));
+
+-- simple rescan tests
+
+select a, b, sum(v.x)
+ from (values (1),(2)) v(x), gstest_data(v.x)
+ group by rollup (a,b);
+
+select *
+ from (values (1),(2)) v(x),
+ lateral (select a, b, sum(v.x) from gstest_data(v.x) group by rollup (a,b)) s;
+
+-- min max optimisation should still work with GROUP BY ()
+explain (costs off)
+ select min(unique1) from tenk1 GROUP BY ();
+
+-- Views with GROUPING SET queries
+CREATE VIEW gstest_view AS select a, b, grouping(a,b), sum(c), count(*), max(c)
+ from gstest2 group by rollup ((a,b,c),(c,d));
+
+select pg_get_viewdef('gstest_view'::regclass, true);
+
+-- Nested queries with 3 or more levels of nesting
+select(select (select grouping(a,b) from (values (1)) v2(c)) from (values (1,2)) v1(a,b) group by (a,b)) from (values(6,7)) v3(e,f) GROUP BY ROLLUP(e,f);
+select(select (select grouping(e,f) from (values (1)) v2(c)) from (values (1,2)) v1(a,b) group by (a,b)) from (values(6,7)) v3(e,f) GROUP BY ROLLUP(e,f);
+select(select (select grouping(c) from (values (1)) v2(c) GROUP BY c) from (values (1,2)) v1(a,b) group by (a,b)) from (values(6,7)) v3(e,f) GROUP BY ROLLUP(e,f);
+
+-- Combinations of operations
+select a, b, c, d from gstest2 group by rollup(a,b),grouping sets(c,d);
+select a, b from (values (1,2),(2,3)) v(a,b) group by a,b, grouping sets(a);
+
+-- Tests for chained aggregates
+select a, b, grouping(a,b), sum(v), count(*), max(v)
+ from gstest1 group by grouping sets ((a,b),(a+1,b+1),(a+2,b+2));
+select(select (select grouping(a,b) from (values (1)) v2(c)) from (values (1,2)) v1(a,b) group by (a,b)) from (values(6,7)) v3(e,f) GROUP BY ROLLUP((e+1),(f+1));
+select(select (select grouping(a,b) from (values (1)) v2(c)) from (values (1,2)) v1(a,b) group by (a,b)) from (values(6,7)) v3(e,f) GROUP BY CUBE((e+1),(f+1)) ORDER BY (e+1),(f+1);
+select a, b, sum(c), sum(sum(c)) over (order by a,b) as rsum
+ from gstest2 group by cube (a,b) order by rsum, a, b;
+select a, b, sum(c) from (values (1,1,10),(1,1,11),(1,2,12),(1,2,13),(1,3,14),(2,3,15),(3,3,16),(3,4,17),(4,1,18),(4,1,19)) v(a,b,c) group by rollup (a,b);
+select a, b, sum(v.x)
+ from (values (1),(2)) v(x), gstest_data(v.x)
+ group by cube (a,b) order by a,b;
+
+
+-- Agg level check. This query should error out.
+select (select grouping(a,b) from gstest2) from gstest2 group by a,b;
+
+--Nested queries
+select a, b, sum(c), count(*) from gstest2 group by grouping sets (rollup(a,b),a);
+
+-- HAVING queries
+select ten, sum(distinct four) from onek a
+group by grouping sets((ten,four),(ten))
+having exists (select 1 from onek b where sum(distinct a.four) = b.four);
+
+-- FILTER queries
+select ten, sum(distinct four) filter (where four::text ~ '123') from onek a
+group by rollup(ten);
+
+-- More rescan tests
+select * from (values (1),(2)) v(a) left join lateral (select v.a, four, ten, count(*) from onek group by cube(four,ten)) s on true order by v.a,four,ten;
+select array(select row(v.a,s1.*) from (select two,four, count(*) from onek group by cube(two,four) order by two,four) s1) from (values (1),(2)) v(a);
+
+-- end
projects / postgresql / commitdiff