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d3ff133390
The logic and the implementation scheme are similar with the MDEV-9197 Pushdown conditions into non-mergeable views/derived tables How the push down is made on the example: select * from t1 where a>3 and b>10 and (a,b) in (select x,max(y) from t2 group by x); --> select * from t1 where a>3 and b>10 and (a,b) in (select x,max(y) from t2 where x>3 group by x having max(y)>10); The implementation scheme: 1. Search for the condition cond that depends only on the fields from the left part of the IN subquery (left_part) 2. Find fields F_group in the select of the right part of the IN subquery (right_part) that are used in the GROUP BY 3. Extract from the cond condition cond_where that depends only on the fields from the left_part that stay at the same places in the left_part (have the same indexes) as the F_group fields in the projection of the right_part 4. Transform cond_where so it can be pushed into the WHERE clause of the right_part and delete cond_where from the cond 5. Transform cond so it can be pushed into the HAVING clause of the right_part The optimization is made in the Item_in_subselect::pushdown_cond_for_in_subquery() and is controlled by the variable condition_pushdown_for_subquery. New test file in_subq_cond_pushdown.test is created. There are also some changes made for setup_jtbm_semi_joins(). Now it is decomposed into the 2 procedures: setup_degenerate_jtbm_semi_joins() that is called before optimize_cond() for cond and setup_jtbm_semi_joins() that is called after optimize_cond(). New setup_jtbm_semi_joins() is made in the way so that the result of its work is the same as if it was called before optimize_cond(). The code that is common for pushdown into materialized derived and into materialized IN subqueries is factored out into pushdown_cond_for_derived(), Item_in_subselect::pushdown_cond_for_in_subquery() and st_select_lex::pushdown_cond_into_where_clause().
414 lines
14 KiB
C++
414 lines
14 KiB
C++
/*
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Copyright (c) 2010, 2015, MariaDB
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This program is free software; you can redistribute it and/or modify
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it under the terms of the GNU General Public License as published by
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the Free Software Foundation; version 2 of the License.
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This program is distributed in the hope that it will be useful,
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but WITHOUT ANY WARRANTY; without even the implied warranty of
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MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
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GNU General Public License for more details.
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You should have received a copy of the GNU General Public License
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along with this program; if not, write to the Free Software
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Foundation, Inc., 51 Franklin Street, Fifth Floor, Boston, MA 02111-1301 USA */
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/*
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Semi-join subquery optimization code definitions
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*/
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#ifdef USE_PRAGMA_INTERFACE
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#pragma interface /* gcc class implementation */
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#endif
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int check_and_do_in_subquery_rewrites(JOIN *join);
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bool convert_join_subqueries_to_semijoins(JOIN *join);
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int pull_out_semijoin_tables(JOIN *join);
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bool optimize_semijoin_nests(JOIN *join, table_map all_table_map);
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Item *and_new_conditions_to_optimized_cond(THD *thd, Item *cond,
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COND_EQUAL **cond_eq,
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List<Item> &new_conds,
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Item::cond_result *cond_value);
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bool setup_degenerate_jtbm_semi_joins(JOIN *join,
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List<TABLE_LIST> *join_list,
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List<Item> &eq_list);
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bool setup_jtbm_semi_joins(JOIN *join, List<TABLE_LIST> *join_list,
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List<Item> &eq_list);
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void cleanup_empty_jtbm_semi_joins(JOIN *join, List<TABLE_LIST> *join_list);
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// used by Loose_scan_opt
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ulonglong get_bound_sj_equalities(TABLE_LIST *sj_nest,
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table_map remaining_tables);
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/*
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This is a class for considering possible loose index scan optimizations.
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It's usage pattern is as follows:
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best_access_path()
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{
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Loose_scan_opt opt;
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opt.init()
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for each index we can do ref access with
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{
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opt.next_ref_key();
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for each keyuse
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opt.add_keyuse();
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opt.check_ref_access();
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}
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if (some criteria for range scans)
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opt.check_range_access();
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opt.get_best_option();
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}
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*/
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class Loose_scan_opt
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{
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/* All methods must check this before doing anything else */
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bool try_loosescan;
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/*
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If we consider (oe1, .. oeN) IN (SELECT ie1, .. ieN) then ieK=oeK is
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called sj-equality. If oeK depends only on preceding tables then such
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equality is called 'bound'.
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*/
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ulonglong bound_sj_equalities;
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/* Accumulated properties of ref access we're now considering: */
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ulonglong handled_sj_equalities;
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key_part_map loose_scan_keyparts;
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uint max_loose_keypart;
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bool part1_conds_met;
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/*
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Use of quick select is a special case. Some of its properties:
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*/
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uint quick_uses_applicable_index;
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uint quick_max_loose_keypart;
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/* Best loose scan method so far */
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uint best_loose_scan_key;
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double best_loose_scan_cost;
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double best_loose_scan_records;
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KEYUSE *best_loose_scan_start_key;
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uint best_max_loose_keypart;
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public:
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Loose_scan_opt():
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try_loosescan(FALSE),
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bound_sj_equalities(0),
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quick_uses_applicable_index(FALSE)
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{
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/* Protected by quick_uses_applicable_index */
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LINT_INIT(quick_max_loose_keypart);
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/* The following are protected by best_loose_scan_cost!= DBL_MAX */
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LINT_INIT(best_loose_scan_key);
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LINT_INIT(best_loose_scan_records);
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LINT_INIT(best_max_loose_keypart);
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LINT_INIT(best_loose_scan_start_key);
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}
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void init(JOIN *join, JOIN_TAB *s, table_map remaining_tables)
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{
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/*
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Discover the bound equalities. We need to do this if
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1. The next table is an SJ-inner table, and
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2. It is the first table from that semijoin, and
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3. We're not within a semi-join range (i.e. all semi-joins either have
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all or none of their tables in join_table_map), except
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s->emb_sj_nest (which we've just entered, see #2).
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4. All non-IN-equality correlation references from this sj-nest are
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bound
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5. But some of the IN-equalities aren't (so this can't be handled by
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FirstMatch strategy)
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*/
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best_loose_scan_cost= DBL_MAX;
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if (!join->emb_sjm_nest && s->emb_sj_nest && // (1)
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s->emb_sj_nest->sj_in_exprs < 64 &&
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((remaining_tables & s->emb_sj_nest->sj_inner_tables) == // (2)
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s->emb_sj_nest->sj_inner_tables) && // (2)
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join->cur_sj_inner_tables == 0 && // (3)
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!(remaining_tables &
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s->emb_sj_nest->nested_join->sj_corr_tables) && // (4)
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remaining_tables & s->emb_sj_nest->nested_join->sj_depends_on &&// (5)
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optimizer_flag(join->thd, OPTIMIZER_SWITCH_LOOSE_SCAN))
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{
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/* This table is an LooseScan scan candidate */
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bound_sj_equalities= get_bound_sj_equalities(s->emb_sj_nest,
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remaining_tables);
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try_loosescan= TRUE;
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DBUG_PRINT("info", ("Will try LooseScan scan, bound_map=%llx",
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(longlong)bound_sj_equalities));
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}
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}
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void next_ref_key()
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{
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handled_sj_equalities=0;
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loose_scan_keyparts= 0;
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max_loose_keypart= 0;
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part1_conds_met= FALSE;
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}
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void add_keyuse(table_map remaining_tables, KEYUSE *keyuse)
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{
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if (try_loosescan && keyuse->sj_pred_no != UINT_MAX &&
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(keyuse->table->file->index_flags(keyuse->key, 0, 1 ) & HA_READ_ORDER))
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{
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if (!(remaining_tables & keyuse->used_tables))
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{
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/*
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This allows to use equality propagation to infer that some
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sj-equalities are bound.
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*/
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bound_sj_equalities |= 1ULL << keyuse->sj_pred_no;
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}
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else
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{
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handled_sj_equalities |= 1ULL << keyuse->sj_pred_no;
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loose_scan_keyparts |= ((key_part_map)1) << keyuse->keypart;
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set_if_bigger(max_loose_keypart, keyuse->keypart);
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}
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}
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}
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bool have_a_case() { return MY_TEST(handled_sj_equalities); }
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void check_ref_access_part1(JOIN_TAB *s, uint key, KEYUSE *start_key,
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table_map found_part)
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{
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/*
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Check if we can use LooseScan semi-join strategy. We can if
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1. This is the right table at right location
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2. All IN-equalities are either
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- "bound", ie. the outer_expr part refers to the preceding tables
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- "handled", ie. covered by the index we're considering
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3. Index order allows to enumerate subquery's duplicate groups in
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order. This happens when the index definition matches this
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pattern:
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(handled_col|bound_col)* (other_col|bound_col)
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*/
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if (try_loosescan && // (1)
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(handled_sj_equalities | bound_sj_equalities) == // (2)
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PREV_BITS(ulonglong, s->emb_sj_nest->sj_in_exprs) && // (2)
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(PREV_BITS(key_part_map, max_loose_keypart+1) & // (3)
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(found_part | loose_scan_keyparts)) == // (3)
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PREV_BITS(key_part_map, max_loose_keypart+1) && // (3)
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!key_uses_partial_cols(s->table->s, key))
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{
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if (s->quick && s->quick->index == key &&
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s->quick->get_type() == QUICK_SELECT_I::QS_TYPE_RANGE)
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{
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quick_uses_applicable_index= TRUE;
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quick_max_loose_keypart= max_loose_keypart;
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}
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DBUG_PRINT("info", ("Can use LooseScan scan"));
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if (found_part & 1)
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{
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/* Can use LooseScan on ref access if the first key part is bound */
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part1_conds_met= TRUE;
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}
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/*
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Check if this is a special case where there are no usable bound
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IN-equalities, i.e. we have
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outer_expr IN (SELECT innertbl.key FROM ...)
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and outer_expr cannot be evaluated yet, so it's actually full
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index scan and not a ref access.
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We can do full index scan if it uses index-only.
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*/
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if (!(found_part & 1 ) && /* no usable ref access for 1st key part */
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s->table->covering_keys.is_set(key))
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{
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part1_conds_met= TRUE;
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DBUG_PRINT("info", ("Can use full index scan for LooseScan"));
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/* Calculate the cost of complete loose index scan. */
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double records= rows2double(s->table->file->stats.records);
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/* The cost is entire index scan cost (divided by 2) */
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double read_time= s->table->file->keyread_time(key, 1,
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(ha_rows) records);
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/*
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Now find out how many different keys we will get (for now we
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ignore the fact that we have "keypart_i=const" restriction for
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some key components, that may make us think think that loose
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scan will produce more distinct records than it actually will)
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*/
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ulong rpc;
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if ((rpc= s->table->key_info[key].rec_per_key[max_loose_keypart]))
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records= records / rpc;
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// TODO: previous version also did /2
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if (read_time < best_loose_scan_cost)
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{
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best_loose_scan_key= key;
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best_loose_scan_cost= read_time;
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best_loose_scan_records= records;
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best_max_loose_keypart= max_loose_keypart;
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best_loose_scan_start_key= start_key;
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}
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}
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}
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}
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void check_ref_access_part2(uint key, KEYUSE *start_key, double records,
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double read_time)
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{
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if (part1_conds_met && read_time < best_loose_scan_cost)
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{
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/* TODO use rec-per-key-based fanout calculations */
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best_loose_scan_key= key;
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best_loose_scan_cost= read_time;
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best_loose_scan_records= records;
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best_max_loose_keypart= max_loose_keypart;
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best_loose_scan_start_key= start_key;
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}
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}
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void check_range_access(JOIN *join, uint idx, QUICK_SELECT_I *quick)
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{
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/* TODO: this the right part restriction: */
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if (quick_uses_applicable_index && idx == join->const_tables &&
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quick->read_time < best_loose_scan_cost)
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{
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best_loose_scan_key= quick->index;
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best_loose_scan_cost= quick->read_time;
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/* this is ok because idx == join->const_tables */
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best_loose_scan_records= rows2double(quick->records);
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best_max_loose_keypart= quick_max_loose_keypart;
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best_loose_scan_start_key= NULL;
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}
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}
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void save_to_position(JOIN_TAB *tab, POSITION *pos)
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{
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pos->read_time= best_loose_scan_cost;
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if (best_loose_scan_cost != DBL_MAX)
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{
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pos->records_read= best_loose_scan_records;
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pos->key= best_loose_scan_start_key;
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pos->cond_selectivity= 1.0;
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pos->loosescan_picker.loosescan_key= best_loose_scan_key;
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pos->loosescan_picker.loosescan_parts= best_max_loose_keypart + 1;
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pos->use_join_buffer= FALSE;
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pos->table= tab;
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// todo need ref_depend_map ?
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DBUG_PRINT("info", ("Produced a LooseScan plan, key %s, %s",
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tab->table->key_info[best_loose_scan_key].name.str,
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best_loose_scan_start_key? "(ref access)":
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"(range/index access)"));
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}
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}
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};
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void advance_sj_state(JOIN *join, table_map remaining_tables, uint idx,
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double *current_record_count, double *current_read_time,
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POSITION *loose_scan_pos);
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void restore_prev_sj_state(const table_map remaining_tables,
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const JOIN_TAB *tab, uint idx);
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void fix_semijoin_strategies_for_picked_join_order(JOIN *join);
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bool setup_sj_materialization_part1(JOIN_TAB *sjm_tab);
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bool setup_sj_materialization_part2(JOIN_TAB *sjm_tab);
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/*
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Temporary table used by semi-join DuplicateElimination strategy
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This consists of the temptable itself and data needed to put records
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into it. The table's DDL is as follows:
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CREATE TABLE tmptable (col VARCHAR(n) BINARY, PRIMARY KEY(col));
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where the primary key can be replaced with unique constraint if n exceeds
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the limit (as it is always done for query execution-time temptables).
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The record value is a concatenation of rowids of tables from the join we're
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executing. If a join table is on the inner side of the outer join, we
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assume that its rowid can be NULL and provide means to store this rowid in
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the tuple.
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*/
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class SJ_TMP_TABLE : public Sql_alloc
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{
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public:
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/*
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Array of pointers to tables whose rowids compose the temporary table
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record.
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*/
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class TAB
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{
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public:
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JOIN_TAB *join_tab;
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uint rowid_offset;
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ushort null_byte;
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uchar null_bit;
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};
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TAB *tabs;
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TAB *tabs_end;
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/*
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is_degenerate==TRUE means this is a special case where the temptable record
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has zero length (and presence of a unique key means that the temptable can
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have either 0 or 1 records).
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In this case we don't create the physical temptable but instead record
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its state in SJ_TMP_TABLE::have_degenerate_row.
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*/
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bool is_degenerate;
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/*
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When is_degenerate==TRUE: the contents of the table (whether it has the
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record or not).
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*/
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bool have_degenerate_row;
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/* table record parameters */
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uint null_bits;
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uint null_bytes;
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uint rowid_len;
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/* The temporary table itself (NULL means not created yet) */
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TABLE *tmp_table;
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/*
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These are the members we got from temptable creation code. We'll need
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them if we'll need to convert table from HEAP to MyISAM/Maria.
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*/
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TMP_ENGINE_COLUMNDEF *start_recinfo;
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TMP_ENGINE_COLUMNDEF *recinfo;
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SJ_TMP_TABLE *next_flush_table;
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int sj_weedout_delete_rows();
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int sj_weedout_check_row(THD *thd);
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bool create_sj_weedout_tmp_table(THD *thd);
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};
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int setup_semijoin_loosescan(JOIN *join);
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int setup_semijoin_dups_elimination(JOIN *join, ulonglong options,
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uint no_jbuf_after);
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void destroy_sj_tmp_tables(JOIN *join);
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int clear_sj_tmp_tables(JOIN *join);
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int rewrite_to_index_subquery_engine(JOIN *join);
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void get_delayed_table_estimates(TABLE *table,
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ha_rows *out_rows,
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double *scan_time,
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double *startup_cost);
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enum_nested_loop_state join_tab_execution_startup(JOIN_TAB *tab);
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