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author | Igor Babaev <igor@askmonty.org> | 2019-05-27 19:08:00 -0700 |
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committer | Igor Babaev <igor@askmonty.org> | 2019-05-27 19:08:23 -0700 |
commit | 0955462d0aafab01def9c1a5ec131eb641cb9e68 (patch) | |
tree | f9224c83f1812b08b7977e111da9e1a34093f513 /sql/opt_subselect.cc | |
parent | 4584c186312a6e9b16271c5d863c76f939d4df53 (diff) | |
download | mariadb-git-0955462d0aafab01def9c1a5ec131eb641cb9e68.tar.gz |
MDEV-18479 Assertion `join->best_read < double(1.79769313486231570815e+308L)'
or server crashes in JOIN::fix_all_splittings_in_plan after EXPLAIN
This patch resolves the problem of overflowing when performing
calculations to estimate the cost of an evaluated query execution plan.
The overflowing in a non-debug build could cause different kind of
problems uncluding crashes of the server.
Diffstat (limited to 'sql/opt_subselect.cc')
-rw-r--r-- | sql/opt_subselect.cc | 69 |
1 files changed, 41 insertions, 28 deletions
diff --git a/sql/opt_subselect.cc b/sql/opt_subselect.cc index a0e19af3d4e..cb821325e57 100644 --- a/sql/opt_subselect.cc +++ b/sql/opt_subselect.cc @@ -27,6 +27,7 @@ #endif #include "sql_base.h" +#include "sql_const.h" #include "sql_select.h" #include "filesort.h" #include "opt_subselect.h" @@ -1380,8 +1381,8 @@ void get_delayed_table_estimates(TABLE *table, *startup_cost= item->jtbm_read_time; /* Calculate cost of scanning the temptable */ - double data_size= item->jtbm_record_count * - hash_sj_engine->tmp_table->s->reclength; + double data_size= COST_MULT(item->jtbm_record_count, + hash_sj_engine->tmp_table->s->reclength); /* Do like in handler::read_time */ *scan_time= data_size/IO_SIZE + 2; } @@ -2451,7 +2452,8 @@ bool optimize_semijoin_nests(JOIN *join, table_map all_table_map) int tableno; double rows= 1.0; while ((tableno = tm_it.next_bit()) != Table_map_iterator::BITMAP_END) - rows *= join->map2table[tableno]->table->quick_condition_rows; + rows= COST_MULT(rows, + join->map2table[tableno]->table->quick_condition_rows); sjm->rows= min(sjm->rows, rows); } memcpy(sjm->positions, join->best_positions + join->const_tables, @@ -2564,7 +2566,7 @@ static uint get_tmp_table_rec_length(Item **p_items, uint elements) static double get_tmp_table_lookup_cost(THD *thd, double row_count, uint row_size) { - if (row_count * row_size > thd->variables.max_heap_table_size) + if (row_count > thd->variables.max_heap_table_size / (double) row_size) return (double) DISK_TEMPTABLE_LOOKUP_COST; else return (double) HEAP_TEMPTABLE_LOOKUP_COST; @@ -2970,8 +2972,11 @@ bool Sj_materialization_picker::check_qep(JOIN *join, } double mat_read_time= prefix_cost.total_cost(); - mat_read_time += mat_info->materialization_cost.total_cost() + - prefix_rec_count * mat_info->lookup_cost.total_cost(); + mat_read_time= + COST_ADD(mat_read_time, + COST_ADD(mat_info->materialization_cost.total_cost(), + COST_MULT(prefix_rec_count, + mat_info->lookup_cost.total_cost()))); /* NOTE: When we pick to use SJM[-Scan] we don't memcpy its POSITION @@ -3011,9 +3016,12 @@ bool Sj_materialization_picker::check_qep(JOIN *join, } /* Add materialization cost */ - prefix_cost += mat_info->materialization_cost.total_cost() + - prefix_rec_count * mat_info->scan_cost.total_cost(); - prefix_rec_count *= mat_info->rows; + prefix_cost= + COST_ADD(prefix_cost, + COST_ADD(mat_info->materialization_cost.total_cost(), + COST_MULT(prefix_rec_count, + mat_info->scan_cost.total_cost()))); + prefix_rec_count= COST_MULT(prefix_rec_count, mat_info->rows); uint i; table_map rem_tables= remaining_tables; @@ -3027,8 +3035,8 @@ bool Sj_materialization_picker::check_qep(JOIN *join, { best_access_path(join, join->positions[i].table, rem_tables, i, disable_jbuf, prefix_rec_count, &curpos, &dummy); - prefix_rec_count *= curpos.records_read; - prefix_cost += curpos.read_time; + prefix_rec_count= COST_MULT(prefix_rec_count, curpos.records_read); + prefix_cost= COST_ADD(prefix_cost, curpos.read_time); } *strategy= SJ_OPT_MATERIALIZE_SCAN; @@ -3335,16 +3343,18 @@ bool Duplicate_weedout_picker::check_qep(JOIN *join, for (uint j= first_dupsweedout_table; j <= idx; j++) { POSITION *p= join->positions + j; - current_fanout *= p->records_read; - dups_cost += p->read_time + current_fanout / TIME_FOR_COMPARE; + current_fanout= COST_MULT(current_fanout, p->records_read); + dups_cost= COST_ADD(dups_cost, + COST_ADD(p->read_time, + current_fanout / TIME_FOR_COMPARE)); if (p->table->emb_sj_nest) { - sj_inner_fanout *= p->records_read; + sj_inner_fanout= COST_MULT(sj_inner_fanout, p->records_read); dups_removed_fanout |= p->table->table->map; } else { - sj_outer_fanout *= p->records_read; + sj_outer_fanout= COST_MULT(sj_outer_fanout, p->records_read); temptable_rec_size += p->table->table->file->ref_length; } } @@ -3363,12 +3373,13 @@ bool Duplicate_weedout_picker::check_qep(JOIN *join, sj_outer_fanout, temptable_rec_size); - double write_cost= join->positions[first_tab].prefix_record_count* - sj_outer_fanout * one_write_cost; - double full_lookup_cost= join->positions[first_tab].prefix_record_count* - sj_outer_fanout* sj_inner_fanout * - one_lookup_cost; - dups_cost += write_cost + full_lookup_cost; + double write_cost= COST_MULT(join->positions[first_tab].prefix_record_count, + sj_outer_fanout * one_write_cost); + double full_lookup_cost= + COST_MULT(join->positions[first_tab].prefix_record_count, + COST_MULT(sj_outer_fanout, + sj_inner_fanout * one_lookup_cost)); + dups_cost= COST_ADD(dups_cost, COST_ADD(write_cost, full_lookup_cost)); *read_time= dups_cost; *record_count= prefix_rec_count * sj_outer_fanout; @@ -3515,8 +3526,8 @@ static void recalculate_prefix_record_count(JOIN *join, uint start, uint end) if (j == join->const_tables) prefix_count= 1.0; else - prefix_count= join->best_positions[j-1].prefix_record_count * - join->best_positions[j-1].records_read; + prefix_count= COST_MULT(join->best_positions[j-1].prefix_record_count, + join->best_positions[j-1].records_read); join->best_positions[j].prefix_record_count= prefix_count; } @@ -5807,14 +5818,16 @@ bool JOIN::choose_subquery_plan(table_map join_tables) The cost of executing the subquery and storing its result in an indexed temporary table. */ - double materialization_cost= inner_read_time_1 + - write_cost * inner_record_count_1; + double materialization_cost= COST_ADD(inner_read_time_1, + COST_MULT(write_cost, + inner_record_count_1)); - materialize_strategy_cost= materialization_cost + - outer_lookup_keys * lookup_cost; + materialize_strategy_cost= COST_ADD(materialization_cost, + COST_MULT(outer_lookup_keys, + lookup_cost)); /* C.2 Compute the cost of the IN=>EXISTS strategy. */ - in_exists_strategy_cost= outer_lookup_keys * inner_read_time_2; + in_exists_strategy_cost= COST_MULT(outer_lookup_keys, inner_read_time_2); /* C.3 Compare the costs and choose the cheaper strategy. */ if (materialize_strategy_cost >= in_exists_strategy_cost) |