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-rw-r--r--src/backend/optimizer/path/costsize.c72
1 files changed, 52 insertions, 20 deletions
diff --git a/src/backend/optimizer/path/costsize.c b/src/backend/optimizer/path/costsize.c
index 3d44815ed5a..344a3188317 100644
--- a/src/backend/optimizer/path/costsize.c
+++ b/src/backend/optimizer/path/costsize.c
@@ -2247,7 +2247,7 @@ append_nonpartial_cost(List *subpaths, int numpaths, int parallel_workers)
* Determines and returns the cost of an Append node.
*/
void
-cost_append(AppendPath *apath)
+cost_append(AppendPath *apath, PlannerInfo *root)
{
ListCell *l;
@@ -2309,26 +2309,52 @@ cost_append(AppendPath *apath)
foreach(l, apath->subpaths)
{
Path *subpath = (Path *) lfirst(l);
- Path sort_path; /* dummy for result of cost_sort */
+ int presorted_keys;
+ Path sort_path; /* dummy for result of
+ * cost_sort/cost_incremental_sort */
- if (!pathkeys_contained_in(pathkeys, subpath->pathkeys))
+ if (!pathkeys_count_contained_in(pathkeys, subpath->pathkeys,
+ &presorted_keys))
{
/*
* We'll need to insert a Sort node, so include costs for
- * that. We can use the parent's LIMIT if any, since we
+ * that. We choose to use incremental sort if it is
+ * enabled and there are presorted keys; otherwise we use
+ * full sort.
+ *
+ * We can use the parent's LIMIT if any, since we
* certainly won't pull more than that many tuples from
* any child.
*/
- cost_sort(&sort_path,
- NULL, /* doesn't currently need root */
- pathkeys,
- subpath->disabled_nodes,
- subpath->total_cost,
- subpath->rows,
- subpath->pathtarget->width,
- 0.0,
- work_mem,
- apath->limit_tuples);
+ if (enable_incremental_sort && presorted_keys > 0)
+ {
+ cost_incremental_sort(&sort_path,
+ root,
+ pathkeys,
+ presorted_keys,
+ subpath->disabled_nodes,
+ subpath->startup_cost,
+ subpath->total_cost,
+ subpath->rows,
+ subpath->pathtarget->width,
+ 0.0,
+ work_mem,
+ apath->limit_tuples);
+ }
+ else
+ {
+ cost_sort(&sort_path,
+ root,
+ pathkeys,
+ subpath->disabled_nodes,
+ subpath->total_cost,
+ subpath->rows,
+ subpath->pathtarget->width,
+ 0.0,
+ work_mem,
+ apath->limit_tuples);
+ }
+
subpath = &sort_path;
}
@@ -2546,13 +2572,13 @@ cost_memoize_rescan(PlannerInfo *root, MemoizePath *mpath,
Cost input_startup_cost = mpath->subpath->startup_cost;
Cost input_total_cost = mpath->subpath->total_cost;
double tuples = mpath->subpath->rows;
- double calls = mpath->calls;
+ Cardinality est_calls = mpath->est_calls;
int width = mpath->subpath->pathtarget->width;
double hash_mem_bytes;
double est_entry_bytes;
- double est_cache_entries;
- double ndistinct;
+ Cardinality est_cache_entries;
+ Cardinality ndistinct;
double evict_ratio;
double hit_ratio;
Cost startup_cost;
@@ -2578,7 +2604,7 @@ cost_memoize_rescan(PlannerInfo *root, MemoizePath *mpath,
est_cache_entries = floor(hash_mem_bytes / est_entry_bytes);
/* estimate on the distinct number of parameter values */
- ndistinct = estimate_num_groups(root, mpath->param_exprs, calls, NULL,
+ ndistinct = estimate_num_groups(root, mpath->param_exprs, est_calls, NULL,
&estinfo);
/*
@@ -2590,7 +2616,10 @@ cost_memoize_rescan(PlannerInfo *root, MemoizePath *mpath,
* certainly mean a MemoizePath will never survive add_path().
*/
if ((estinfo.flags & SELFLAG_USED_DEFAULT) != 0)
- ndistinct = calls;
+ ndistinct = est_calls;
+
+ /* Remember the ndistinct estimate for EXPLAIN */
+ mpath->est_unique_keys = ndistinct;
/*
* Since we've already estimated the maximum number of entries we can
@@ -2618,9 +2647,12 @@ cost_memoize_rescan(PlannerInfo *root, MemoizePath *mpath,
* must look at how many scans are estimated in total for this node and
* how many of those scans we expect to get a cache hit.
*/
- hit_ratio = ((calls - ndistinct) / calls) *
+ hit_ratio = ((est_calls - ndistinct) / est_calls) *
(est_cache_entries / Max(ndistinct, est_cache_entries));
+ /* Remember the hit ratio estimate for EXPLAIN */
+ mpath->est_hit_ratio = hit_ratio;
+
Assert(hit_ratio >= 0 && hit_ratio <= 1.0);
/*