* We generate a path for each ordering (pathkey list) appearing in
* all_child_pathkeys.
*
- * We consider both cheapest-startup and cheapest-total cases, ie, for each
- * interesting ordering, collect all the cheapest startup subpaths and all the
- * cheapest total paths, and build a suitable path for each case.
+ * We consider the cheapest-startup and cheapest-total cases, and also the
+ * cheapest-fractional case when not all tuples need to be retrieved. For each
+ * interesting ordering, we collect all the cheapest startup subpaths, all the
+ * cheapest total paths, and, if applicable, all the cheapest fractional paths,
+ * and build a suitable path for each case.
*
* We don't currently generate any parameterized ordered paths here. While
* it would not take much more code here to do so, it's very unclear that it
double path_fraction = root->tuple_fraction;
/*
- * Merge Append considers only live children relations. Dummy
- * relations must be filtered out before.
+ * We should not have a dummy child relation here. However,
+ * we cannot use childrel->rows to compute the tuple fraction,
+ * as childrel can be an upper relation with an unset row
+ * estimate. Instead, we use the row estimate from the
+ * cheapest_total path, which should already have been forced
+ * to a sane value.
*/
- Assert(childrel->rows > 0);
+ Assert(cheapest_total->rows > 0);
/* Convert absolute limit to a path fraction */
if (path_fraction >= 1.0)
- path_fraction /= childrel->rows;
+ path_fraction /= cheapest_total->rows;
cheapest_fractional =
get_cheapest_fractional_path_for_pathkeys(childrel->pathlist,
2
(3 rows)
+-- Test partitionwise aggregation with ordered append path built from fractional paths
+EXPLAIN (COSTS OFF)
+SELECT count(*) FROM pagg_tab GROUP BY c ORDER BY c LIMIT 1;
+ QUERY PLAN
+------------------------------------------------------------
+ Limit
+ -> Merge Append
+ Sort Key: pagg_tab.c
+ -> GroupAggregate
+ Group Key: pagg_tab.c
+ -> Sort
+ Sort Key: pagg_tab.c
+ -> Seq Scan on pagg_tab_p1 pagg_tab
+ -> GroupAggregate
+ Group Key: pagg_tab_1.c
+ -> Sort
+ Sort Key: pagg_tab_1.c
+ -> Seq Scan on pagg_tab_p2 pagg_tab_1
+ -> GroupAggregate
+ Group Key: pagg_tab_2.c
+ -> Sort
+ Sort Key: pagg_tab_2.c
+ -> Seq Scan on pagg_tab_p3 pagg_tab_2
+(18 rows)
+
+SELECT count(*) FROM pagg_tab GROUP BY c ORDER BY c LIMIT 1;
+ count
+-------
+ 250
+(1 row)
+
RESET enable_hashagg;
-- ROLLUP, partitionwise aggregation does not apply
EXPLAIN (COSTS OFF)
SELECT a FROM pagg_tab WHERE a < 3 GROUP BY a ORDER BY 1;
SELECT a FROM pagg_tab WHERE a < 3 GROUP BY a ORDER BY 1;
+-- Test partitionwise aggregation with ordered append path built from fractional paths
+EXPLAIN (COSTS OFF)
+SELECT count(*) FROM pagg_tab GROUP BY c ORDER BY c LIMIT 1;
+SELECT count(*) FROM pagg_tab GROUP BY c ORDER BY c LIMIT 1;
+
RESET enable_hashagg;
-- ROLLUP, partitionwise aggregation does not apply