Cost startup_cost = 0;
Cost run_cost = 0;
Cost indexTotalCost;
- Selectivity indexSelectivity;
QualCost qpqual_cost;
Cost cpu_per_tuple;
Cost cost_per_page;
if (!enable_bitmapscan)
startup_cost += disable_cost;
- /*
- * Fetch total cost of obtaining the bitmap, as well as its total
- * selectivity.
- */
- cost_bitmap_tree_node(bitmapqual, &indexTotalCost, &indexSelectivity);
+ pages_fetched = compute_bitmap_pages(root, baserel, bitmapqual,
+ loop_count, &indexTotalCost,
+ &tuples_fetched);
startup_cost += indexTotalCost;
+ T = (baserel->pages > 1) ? (double) baserel->pages : 1.0;
/* Fetch estimated page costs for tablespace containing table. */
get_tablespace_page_costs(baserel->reltablespace,
&spc_random_page_cost,
&spc_seq_page_cost);
- /*
- * Estimate number of main-table pages fetched.
- */
- tuples_fetched = clamp_row_est(indexSelectivity * baserel->tuples);
-
- T = (baserel->pages > 1) ? (double) baserel->pages : 1.0;
-
- if (loop_count > 1)
- {
- /*
- * For repeated bitmap scans, scale up the number of tuples fetched in
- * the Mackert and Lohman formula by the number of scans, so that we
- * estimate the number of pages fetched by all the scans. Then
- * pro-rate for one scan.
- */
- pages_fetched = index_pages_fetched(tuples_fetched * loop_count,
- baserel->pages,
- get_indexpath_pages(bitmapqual),
- root);
- pages_fetched /= loop_count;
- }
- else
- {
- /*
- * For a single scan, the number of heap pages that need to be fetched
- * is the same as the Mackert and Lohman formula for the case T <= b
- * (ie, no re-reads needed).
- */
- pages_fetched = (2.0 * T * tuples_fetched) / (2.0 * T + tuples_fetched);
- }
- if (pages_fetched >= T)
- pages_fetched = T;
- else
- pages_fetched = ceil(pages_fetched);
-
/*
* For small numbers of pages we should charge spc_random_page_cost
* apiece, while if nearly all the table's pages are being read, it's more
return parallel_divisor;
}
+
+/*
+ * compute_bitmap_pages
+ *
+ * compute number of pages fetched from heap in bitmap heap scan.
+ */
+double
+compute_bitmap_pages(PlannerInfo *root, RelOptInfo *baserel, Path *bitmapqual,
+ int loop_count, Cost *cost, double *tuple)
+{
+ Cost indexTotalCost;
+ Selectivity indexSelectivity;
+ double T;
+ double pages_fetched;
+ double tuples_fetched;
+
+ /*
+ * Fetch total cost of obtaining the bitmap, as well as its total
+ * selectivity.
+ */
+ cost_bitmap_tree_node(bitmapqual, &indexTotalCost, &indexSelectivity);
+
+ /*
+ * Estimate number of main-table pages fetched.
+ */
+ tuples_fetched = clamp_row_est(indexSelectivity * baserel->tuples);
+
+ T = (baserel->pages > 1) ? (double) baserel->pages : 1.0;
+
+ if (loop_count > 1)
+ {
+ /*
+ * For repeated bitmap scans, scale up the number of tuples fetched in
+ * the Mackert and Lohman formula by the number of scans, so that we
+ * estimate the number of pages fetched by all the scans. Then
+ * pro-rate for one scan.
+ */
+ pages_fetched = index_pages_fetched(tuples_fetched * loop_count,
+ baserel->pages,
+ get_indexpath_pages(bitmapqual),
+ root);
+ pages_fetched /= loop_count;
+ }
+ else
+ {
+ /*
+ * For a single scan, the number of heap pages that need to be fetched
+ * is the same as the Mackert and Lohman formula for the case T <= b
+ * (ie, no re-reads needed).
+ */
+ pages_fetched =
+ (2.0 * T * tuples_fetched) / (2.0 * T + tuples_fetched);
+ }
+
+ if (pages_fetched >= T)
+ pages_fetched = T;
+ else
+ pages_fetched = ceil(pages_fetched);
+
+ if (cost)
+ *cost = indexTotalCost;
+ if (tuple)
+ *tuple = tuples_fetched;
+
+ return pages_fetched;
+}