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-rw-r--r--sql/sql_select.cc60
1 files changed, 55 insertions, 5 deletions
diff --git a/sql/sql_select.cc b/sql/sql_select.cc
index 9c89225d1e6..669a1de8d60 100644
--- a/sql/sql_select.cc
+++ b/sql/sql_select.cc
@@ -1351,6 +1351,15 @@ JOIN::prepare(TABLE_LIST *tables_init, COND *conds_init, uint og_num,
/* Fix items that requires the join structure to exist */
fix_items_after_optimize(thd, select_lex);
+ /*
+ It is hack which force creating EXPLAIN object always on runt-time arena
+ (because very top JOIN::prepare executes always with runtime arena, but
+ constant subquery like (SELECT 'x') can be called with statement arena
+ during prepare phase of top SELECT).
+ */
+ if (!(thd->lex->context_analysis_only & CONTEXT_ANALYSIS_ONLY_PREPARE))
+ create_explain_query_if_not_exists(thd->lex, thd->mem_root);
+
if (select_lex->handle_derived(thd->lex, DT_PREPARE))
DBUG_RETURN(-1);
@@ -1838,7 +1847,6 @@ bool JOIN::build_explain()
int JOIN::optimize()
{
int res= 0;
- create_explain_query_if_not_exists(thd->lex, thd->mem_root);
join_optimization_state init_state= optimization_state;
if (select_lex->pushdown_select)
{
@@ -7838,6 +7846,7 @@ best_access_path(JOIN *join,
double best= DBL_MAX;
double best_time= DBL_MAX;
double records= DBL_MAX;
+ ha_rows records_for_key= 0;
table_map best_ref_depends_map= 0;
/*
key_dependent is 0 if all key parts could be used or if there was an
@@ -7848,6 +7857,7 @@ best_access_path(JOIN *join,
table_map key_dependent= 0;
Range_rowid_filter_cost_info *best_filter= 0;
double tmp;
+ double keyread_tmp= 0;
ha_rows rec;
bool best_uses_jbuf= FALSE;
MY_BITMAP *eq_join_set= &s->table->eq_join_set;
@@ -8133,8 +8143,12 @@ best_access_path(JOIN *join,
/* Limit the number of matched rows */
tmp= cost_for_index_read(thd, table, key, (ha_rows) records,
(ha_rows) s->worst_seeks);
+ records_for_key= (ha_rows) records;
+ set_if_smaller(records_for_key, thd->variables.max_seeks_for_key);
+ keyread_tmp= table->file->keyread_time(key, 1, records_for_key);
got_cost:
tmp= COST_MULT(tmp, record_count);
+ keyread_tmp= COST_MULT(keyread_tmp, record_count);
}
}
else
@@ -8308,12 +8322,14 @@ best_access_path(JOIN *join,
}
/* Limit the number of matched rows */
- tmp= records;
- set_if_smaller(tmp, (double) thd->variables.max_seeks_for_key);
- tmp= cost_for_index_read(thd, table, key, (ha_rows) tmp,
+ tmp= cost_for_index_read(thd, table, key, (ha_rows) records,
(ha_rows) s->worst_seeks);
+ records_for_key= (ha_rows) records;
+ set_if_smaller(records_for_key, thd->variables.max_seeks_for_key);
+ keyread_tmp= table->file->keyread_time(key, 1, records_for_key);
got_cost2:
tmp= COST_MULT(tmp, record_count);
+ keyread_tmp= COST_MULT(keyread_tmp, record_count);
}
else
{
@@ -8332,7 +8348,35 @@ best_access_path(JOIN *join,
(found_part & 1)) // start_key->key can be used for index access
{
double rows= record_count * records;
- double access_cost_factor= MY_MIN(tmp / rows, 1.0);
+
+ /*
+ If we use filter F with selectivity s the the cost of fetching data
+ by key using this filter will be
+ cost_of_fetching_1_row * rows * s +
+ cost_of_fetching_1_key_tuple * rows * (1 - s) +
+ cost_of_1_lookup_into_filter * rows
+ Without using any filter the cost would be just
+ cost_of_fetching_1_row * rows
+
+ So the gain in access cost per row will be
+ cost_of_fetching_1_row * (1 - s) -
+ cost_of_fetching_1_key_tuple * (1 - s) -
+ cost_of_1_lookup_into_filter
+ =
+ (cost_of_fetching_1_row - cost_of_fetching_1_key_tuple) * (1 - s)
+ - cost_of_1_lookup_into_filter
+
+ Here we have:
+ cost_of_fetching_1_row = tmp/rows
+ cost_of_fetching_1_key_tuple = keyread_tmp/rows
+
+ Note that access_cost_factor may be greater than 1.0. In this case
+ we still can expect a gain of using rowid filter due to smaller number
+ of checks for conditions pushed to the joined table.
+ */
+ double rows_access_cost= MY_MIN(rows, s->worst_seeks);
+ double access_cost_factor= MY_MIN((rows_access_cost - keyread_tmp) /
+ rows, 1.0);
filter=
table->best_range_rowid_filter_for_partial_join(start_key->key, rows,
access_cost_factor);
@@ -8520,6 +8564,10 @@ best_access_path(JOIN *join,
double rows= record_count * s->found_records;
double access_cost_factor= MY_MIN(tmp / rows, 1.0);
uint key_no= s->quick->index;
+
+ /* See the comment concerning using rowid filter for with ref access */
+ keyread_tmp= s->table->opt_range[key_no].index_only_cost;
+ access_cost_factor= MY_MIN((rows - keyread_tmp) / rows, 1.0);
filter=
s->table->best_range_rowid_filter_for_partial_join(key_no, rows,
access_cost_factor);
@@ -21729,6 +21777,8 @@ sub_select(JOIN *join,JOIN_TAB *join_tab,bool end_of_records)
DBUG_RETURN(NESTED_LOOP_ERROR);
join_tab->build_range_rowid_filter_if_needed();
+ if (join_tab->rowid_filter && join_tab->rowid_filter->is_empty())
+ rc= NESTED_LOOP_NO_MORE_ROWS;
join->return_tab= join_tab;