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Merge 5.5 into 10.1

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This commit is contained in:
Marko Mäkelä
2019-05-28 11:25:45 +03:00
parent 626f2a1c17 0955462d0a
commit bf8fe324d2
12 changed files with 802 additions and 91 deletions
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73
sql/opt_subselect.cc
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@@ -1,5 +1,5 @@
/*
Copyright (c) 2010, 2015, MariaDB
Copyright (c) 2010, 2019, MariaDB
This program is free software; you can redistribute it and/or modify
it under the terms of the GNU General Public License as published by
@@ -28,6 +28,7 @@
#include <my_global.h>
#include "sql_base.h"
#include "sql_const.h"
#include "sql_select.h"
#include "filesort.h"
#include "opt_subselect.h"
@@ -522,7 +523,7 @@ bool is_materialization_applicable(THD *thd, Item_in_subselect *in_subs,
if (optimizer_flag(thd, OPTIMIZER_SWITCH_MATERIALIZATION) && // 0
!child_select->is_part_of_union() && // 1
parent_unit->first_select()->leaf_tables.elements && // 2
child_select->outer_select()->leaf_tables.elements && // 2A
child_select->outer_select()->table_list.first && // 2A
subquery_types_allow_materialization(in_subs) &&
(in_subs->is_top_level_item() || //3
optimizer_flag(thd,
@@ -1383,8 +1384,8 @@ 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;
}
@@ -2467,7 +2468,8 @@ 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= MY_MIN(sjm->rows, rows);
}
memcpy((uchar*) sjm->positions,
@@ -2581,7 +2583,7 @@ 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;
@@ -2987,8 +2989,11 @@ 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
@@ -3028,9 +3033,12 @@ 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;
@@ -3044,8 +3052,8 @@ 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;
@@ -3352,16 +3360,18 @@ 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;
}
}
@@ -3380,12 +3390,13 @@ 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;
@@ -3532,8 +3543,8 @@ 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;
}
@@ -5882,14 +5893,16 @@ 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)