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Support parallel bitmap heap scans.
The index is scanned by a single process, but then all cooperating processes can iterate jointly over the resulting set of heap blocks. In the future, we might also want to support using a parallel bitmap index scan to set up for a parallel bitmap heap scan, but that's a job for another day. Dilip Kumar, with some corrections and cosmetic changes by me. The larger patch set of which this is a part has been reviewed and tested by (at least) Andres Freund, Amit Khandekar, Tushar Ahuja, Rafia Sabih, Haribabu Kommi, Thomas Munro, and me. Discussion: http://postgr.es/m/CAFiTN-uc4=0WxRGfCzs-xfkMYcSEWUC-Fon6thkJGjkh9i=13A@mail.gmail.com
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@ -2911,6 +2911,30 @@ remove_unused_subquery_outputs(Query *subquery, RelOptInfo *rel)
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}
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}
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/*
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* create_partial_bitmap_paths
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* Build partial bitmap heap path for the relation
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*/
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void
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create_partial_bitmap_paths(PlannerInfo *root, RelOptInfo *rel,
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Path *bitmapqual)
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{
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int parallel_workers;
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double pages_fetched;
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/* Compute heap pages for bitmap heap scan */
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pages_fetched = compute_bitmap_pages(root, rel, bitmapqual, 1.0,
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NULL, NULL);
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parallel_workers = compute_parallel_worker(rel, pages_fetched, 0);
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if (parallel_workers <= 0)
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return;
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add_partial_path(rel, (Path *) create_bitmap_heap_path(root, rel,
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bitmapqual, rel->lateral_relids, 1.0, parallel_workers));
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}
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/*
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* Compute the number of parallel workers that should be used to scan a
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* relation. We compute the parallel workers based on the size of the heap to
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@ -860,6 +860,7 @@ cost_bitmap_heap_scan(Path *path, PlannerInfo *root, RelOptInfo *baserel,
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QualCost qpqual_cost;
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Cost cpu_per_tuple;
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Cost cost_per_page;
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Cost cpu_run_cost;
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double tuples_fetched;
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double pages_fetched;
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double spc_seq_page_cost,
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@ -921,8 +922,21 @@ cost_bitmap_heap_scan(Path *path, PlannerInfo *root, RelOptInfo *baserel,
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startup_cost += qpqual_cost.startup;
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cpu_per_tuple = cpu_tuple_cost + qpqual_cost.per_tuple;
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cpu_run_cost = cpu_per_tuple * tuples_fetched;
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run_cost += cpu_per_tuple * tuples_fetched;
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/* Adjust costing for parallelism, if used. */
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if (path->parallel_workers > 0)
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{
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double parallel_divisor = get_parallel_divisor(path);
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/* The CPU cost is divided among all the workers. */
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cpu_run_cost /= parallel_divisor;
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path->rows = clamp_row_est(path->rows / parallel_divisor);
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}
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run_cost += cpu_run_cost;
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/* tlist eval costs are paid per output row, not per tuple scanned */
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startup_cost += path->pathtarget->cost.startup;
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@ -337,8 +337,12 @@ create_index_paths(PlannerInfo *root, RelOptInfo *rel)
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bitmapqual = choose_bitmap_and(root, rel, bitindexpaths);
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bpath = create_bitmap_heap_path(root, rel, bitmapqual,
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rel->lateral_relids, 1.0);
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rel->lateral_relids, 1.0, 0);
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add_path(rel, (Path *) bpath);
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/* create a partial bitmap heap path */
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if (rel->consider_parallel && rel->lateral_relids == NULL)
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create_partial_bitmap_paths(root, rel, bitmapqual);
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}
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/*
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@ -410,7 +414,7 @@ create_index_paths(PlannerInfo *root, RelOptInfo *rel)
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required_outer = get_bitmap_tree_required_outer(bitmapqual);
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loop_count = get_loop_count(root, rel->relid, required_outer);
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bpath = create_bitmap_heap_path(root, rel, bitmapqual,
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required_outer, loop_count);
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required_outer, loop_count, 0);
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add_path(rel, (Path *) bpath);
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}
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}
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@ -1617,6 +1621,11 @@ bitmap_scan_cost_est(PlannerInfo *root, RelOptInfo *rel, Path *ipath)
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bpath.path.pathkeys = NIL;
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bpath.bitmapqual = ipath;
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/*
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* Check the cost of temporary path without considering parallelism.
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* Parallel bitmap heap path will be considered at later stage.
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*/
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bpath.path.parallel_workers = 0;
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cost_bitmap_heap_scan(&bpath.path, root, rel,
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bpath.path.param_info,
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ipath,
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@ -1659,6 +1668,12 @@ bitmap_and_cost_est(PlannerInfo *root, RelOptInfo *rel, List *paths)
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bpath.path.pathkeys = NIL;
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bpath.bitmapqual = (Path *) &apath;
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/*
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* Check the cost of temporary path without considering parallelism.
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* Parallel bitmap heap path will be considered at later stage.
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*/
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bpath.path.parallel_workers = 0;
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/* Now we can do cost_bitmap_heap_scan */
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cost_bitmap_heap_scan(&bpath.path, root, rel,
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bpath.path.param_info,
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