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Fix case of window function + aggregate + GROUP BY expression.
In commit 1bc16a9460
I added a minor
optimization to drop the component variables of a GROUP BY expression from
the target list computed at the aggregation level of a query, if those Vars
weren't referenced elsewhere in the tlist. However, I overlooked that the
window-function planning code would deconstruct such expressions and thus
need to have access to their component variables. Fix it to not do that.
While at it, I removed the distinction between volatile and nonvolatile
window partition/order expressions: the code now computes all of them
at the aggregation level. This saves a relatively expensive check for
volatility, and it's unclear that the resulting plan isn't better anyway.
Per bug #7535 from Louis-David Mitterrand. Back-patch to 9.2.
This commit is contained in:
parent
6b896f511f
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@ -90,8 +90,8 @@ static void locate_grouping_columns(PlannerInfo *root,
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AttrNumber *groupColIdx);
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static List *postprocess_setop_tlist(List *new_tlist, List *orig_tlist);
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static List *select_active_windows(PlannerInfo *root, WindowFuncLists *wflists);
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static List *add_volatile_sort_exprs(List *window_tlist, List *tlist,
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List *activeWindows);
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static List *make_windowInputTargetList(PlannerInfo *root,
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List *tlist, List *activeWindows);
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static List *make_pathkeys_for_window(PlannerInfo *root, WindowClause *wc,
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List *tlist, bool canonicalize);
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static void get_column_info_for_window(PlannerInfo *root, WindowClause *wc,
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@ -1555,31 +1555,25 @@ grouping_planner(PlannerInfo *root, double tuple_fraction)
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/*
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* The "base" targetlist for all steps of the windowing process is
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* a flat tlist of all Vars and Aggs needed in the result. (In
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* a flat tlist of all Vars and Aggs needed in the result. (In
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* some cases we wouldn't need to propagate all of these all the
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* way to the top, since they might only be needed as inputs to
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* WindowFuncs. It's probably not worth trying to optimize that
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* though.) We also need any volatile sort expressions, because
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* make_sort_from_pathkeys won't add those on its own, and anyway
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* we want them evaluated only once at the bottom of the stack. As
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* we climb up the stack, we add outputs for the WindowFuncs
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* computed at each level. Also, each input tlist has to present
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* all the columns needed to sort the data for the next WindowAgg
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* step. That's handled internally by make_sort_from_pathkeys,
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* but we need the copyObject steps here to ensure that each plan
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* node has a separately modifiable tlist.
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*
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* Note: it's essential here to use PVC_INCLUDE_AGGREGATES so that
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* Vars mentioned only in aggregate expressions aren't pulled out
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* as separate targetlist entries. Otherwise we could be putting
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* ungrouped Vars directly into an Agg node's tlist, resulting in
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* undefined behavior.
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* though.) We also add window partitioning and sorting
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* expressions to the base tlist, to ensure they're computed only
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* once at the bottom of the stack (that's critical for volatile
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* functions). As we climb up the stack, we'll add outputs for
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* the WindowFuncs computed at each level.
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*/
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window_tlist = make_windowInputTargetList(root,
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tlist,
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activeWindows);
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/*
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* The copyObject steps here are needed to ensure that each plan
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* node has a separately modifiable tlist. (XXX wouldn't a
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* shallow list copy do for that?)
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*/
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window_tlist = flatten_tlist(tlist,
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PVC_INCLUDE_AGGREGATES,
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PVC_INCLUDE_PLACEHOLDERS);
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window_tlist = add_volatile_sort_exprs(window_tlist, tlist,
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activeWindows);
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result_plan->targetlist = (List *) copyObject(window_tlist);
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foreach(l, activeWindows)
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@ -1603,9 +1597,11 @@ grouping_planner(PlannerInfo *root, double tuple_fraction)
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* really have to sort. Even when no explicit sort is needed,
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* we need to have suitable resjunk items added to the input
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* plan's tlist for any partitioning or ordering columns that
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* aren't plain Vars. Furthermore, this way we can use
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* existing infrastructure to identify which input columns are
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* the interesting ones.
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* aren't plain Vars. (In theory, make_windowInputTargetList
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* should have provided all such columns, but let's not assume
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* that here.) Furthermore, this way we can use existing
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* infrastructure to identify which input columns are the
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* interesting ones.
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*/
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if (window_pathkeys)
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{
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@ -3006,18 +3002,57 @@ select_active_windows(PlannerInfo *root, WindowFuncLists *wflists)
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}
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/*
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* add_volatile_sort_exprs
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* Identify any volatile sort/group expressions used by the active
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* windows, and add them to window_tlist if not already present.
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* Return the modified window_tlist.
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* make_windowInputTargetList
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* Generate appropriate target list for initial input to WindowAgg nodes.
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*
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* When grouping_planner inserts one or more WindowAgg nodes into the plan,
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* this function computes the initial target list to be computed by the node
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* just below the first WindowAgg. This list must contain all values needed
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* to evaluate the window functions, compute the final target list, and
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* perform any required final sort step. If multiple WindowAggs are needed,
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* each intermediate one adds its window function results onto this tlist;
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* only the topmost WindowAgg computes the actual desired target list.
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*
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* This function is much like make_subplanTargetList, though not quite enough
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* like it to share code. As in that function, we flatten most expressions
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* into their component variables. But we do not want to flatten window
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* PARTITION BY/ORDER BY clauses, since that might result in multiple
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* evaluations of them, which would be bad (possibly even resulting in
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* inconsistent answers, if they contain volatile functions). Also, we must
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* not flatten GROUP BY clauses that were left unflattened by
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* make_subplanTargetList, because we may no longer have access to the
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* individual Vars in them.
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*
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* Another key difference from make_subplanTargetList is that we don't flatten
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* Aggref expressions, since those are to be computed below the window
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* functions and just referenced like Vars above that.
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*
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* 'tlist' is the query's final target list.
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* 'activeWindows' is the list of active windows previously identified by
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* select_active_windows.
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*
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* The result is the targetlist to be computed by the plan node immediately
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* below the first WindowAgg node.
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*/
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static List *
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add_volatile_sort_exprs(List *window_tlist, List *tlist, List *activeWindows)
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make_windowInputTargetList(PlannerInfo *root,
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List *tlist,
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List *activeWindows)
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{
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Bitmapset *sgrefs = NULL;
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Query *parse = root->parse;
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Bitmapset *sgrefs;
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List *new_tlist;
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List *flattenable_cols;
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List *flattenable_vars;
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ListCell *lc;
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/* First, collect the sortgrouprefs of the windows into a bitmapset */
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Assert(parse->hasWindowFuncs);
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/*
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* Collect the sortgroupref numbers of window PARTITION/ORDER BY clauses
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* into a bitmapset for convenient reference below.
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*/
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sgrefs = NULL;
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foreach(lc, activeWindows)
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{
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WindowClause *wc = (WindowClause *) lfirst(lc);
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@ -3037,34 +3072,74 @@ add_volatile_sort_exprs(List *window_tlist, List *tlist, List *activeWindows)
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}
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}
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/* Add in sortgroupref numbers of GROUP BY clauses, too */
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foreach(lc, parse->groupClause)
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{
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SortGroupClause *grpcl = (SortGroupClause *) lfirst(lc);
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sgrefs = bms_add_member(sgrefs, grpcl->tleSortGroupRef);
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}
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/*
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* Now scan the original tlist to find the referenced expressions. Any
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* that are volatile must be added to window_tlist.
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*
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* Note: we know that the input window_tlist contains no items marked with
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* ressortgrouprefs, so we don't have to worry about collisions of the
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* reference numbers.
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* Construct a tlist containing all the non-flattenable tlist items, and
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* save aside the others for a moment.
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*/
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new_tlist = NIL;
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flattenable_cols = NIL;
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foreach(lc, tlist)
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{
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TargetEntry *tle = (TargetEntry *) lfirst(lc);
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/*
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* Don't want to deconstruct window clauses or GROUP BY items. (Note
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* that such items can't contain window functions, so it's okay to
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* compute them below the WindowAgg nodes.)
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*/
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if (tle->ressortgroupref != 0 &&
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bms_is_member(tle->ressortgroupref, sgrefs) &&
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contain_volatile_functions((Node *) tle->expr))
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bms_is_member(tle->ressortgroupref, sgrefs))
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{
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/* Don't want to deconstruct this value, so add to new_tlist */
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TargetEntry *newtle;
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newtle = makeTargetEntry(tle->expr,
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list_length(window_tlist) + 1,
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list_length(new_tlist) + 1,
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NULL,
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false);
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/* Preserve its sortgroupref marking, in case it's volatile */
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newtle->ressortgroupref = tle->ressortgroupref;
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window_tlist = lappend(window_tlist, newtle);
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new_tlist = lappend(new_tlist, newtle);
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}
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else
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{
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/*
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* Column is to be flattened, so just remember the expression for
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* later call to pull_var_clause. There's no need for
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* pull_var_clause to examine the TargetEntry node itself.
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*/
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flattenable_cols = lappend(flattenable_cols, tle->expr);
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}
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}
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return window_tlist;
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/*
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* Pull out all the Vars and Aggrefs mentioned in flattenable columns, and
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* add them to the result tlist if not already present. (Some might be
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* there already because they're used directly as window/group clauses.)
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*
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* Note: it's essential to use PVC_INCLUDE_AGGREGATES here, so that the
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* Aggrefs are placed in the Agg node's tlist and not left to be computed
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* at higher levels.
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*/
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flattenable_vars = pull_var_clause((Node *) flattenable_cols,
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PVC_INCLUDE_AGGREGATES,
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PVC_INCLUDE_PLACEHOLDERS);
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new_tlist = add_to_flat_tlist(new_tlist, flattenable_vars);
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/* clean up cruft */
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list_free(flattenable_vars);
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list_free(flattenable_cols);
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return new_tlist;
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}
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/*
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@ -614,6 +614,18 @@ group by ten order by ten;
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9 | 10040184 | 7
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(10 rows)
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-- window and aggregate with GROUP BY expression (9.2 bug)
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explain (costs off)
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select first_value(max(x)) over (), y
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from (select unique1 as x, ten+four as y from tenk1) ss
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group by y;
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QUERY PLAN
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-------------------------------
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WindowAgg
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-> HashAggregate
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-> Seq Scan on tenk1
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(3 rows)
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-- test non-default frame specifications
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SELECT four, ten,
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sum(ten) over (partition by four order by ten),
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@ -145,6 +145,12 @@ select ten,
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from tenk1
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group by ten order by ten;
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-- window and aggregate with GROUP BY expression (9.2 bug)
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explain (costs off)
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select first_value(max(x)) over (), y
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from (select unique1 as x, ten+four as y from tenk1) ss
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group by y;
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-- test non-default frame specifications
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SELECT four, ten,
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sum(ten) over (partition by four order by ten),
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