sql_planner.h

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#ifndef SQL_PLANNER_INCLUDED
#define SQL_PLANNER_INCLUDED
 
/* Copyright (c) 2000, 2025, Oracle and/or its affiliates.
 
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/**
  @file sql/sql_planner.h
  Join planner classes.
*/
 
#include <sys/types.h>
 
#include "my_inttypes.h"
#include "my_table_map.h"
#include "sql_optimizer.h"
 
class Cost_model_server;
class JOIN;
class JOIN_TAB;
class Key_use;
class Opt_trace_object;
class THD;
struct TABLE;
class Table_ref;
struct POSITION;
 
typedef ulonglong nested_join_map;
 
/**
   Find the lateral dependencies of 'tab'.
*/
inline table_map get_lateral_deps(const JOIN_TAB &tab) {
  return (tab.table_ref != nullptr && tab.table_ref->is_derived())
             ? tab.table_ref->derived_query_expression()->m_lateral_deps
             : 0;
}
 
/**
  This class determines the optimal join order for tables within
  a basic query block, ie a query specification clause, possibly extended
  with semi-joined tables from embedded subqueries.
 
  This class takes as prerequisite a join class where all dependencies among
  tables have been sorted out, all possible access paths have been
  sorted out, and all statistics information has been filled in.
 
  The class has a sole public function that will calculate the most
  optimal plan based on the inputs and the environment, such as prune level
  and greedy optimizer search depth. For more information, see the
  function headers for the private functions greedy_search(),
  best_extension_by_limited_search() and eq_ref_extension_by_limited_search().
*/
 
class Optimize_table_order {
 public:
  Optimize_table_order(THD *thd_arg, JOIN *join_arg, Table_ref *sjm_nest_arg);
  ~Optimize_table_order() = default;
  /**
    Entry point to table join order optimization.
    For further description, see class header and private function headers.
 
    @return false if successful, true if error
  */
  bool choose_table_order();
 
  void recalculate_lateral_deps(uint first_tab_no);
 
  void recalculate_lateral_deps_incrementally(uint first_tab_no);
 
 private:
  THD *const thd;           // Pointer to current THD
  JOIN *const join;         // Pointer to the current plan being developed
  const uint search_depth;  // Maximum search depth to apply in greedy search
  const uint prune_level;   // pruning heuristics to be applied
                            // (0 = EXHAUSTIVE, 1 = PRUNE_BY_TIME_OR_ROWS)
  /**
    Bitmap of all join nests embedding the last table appended to the current
    partial join.
  */
  nested_join_map cur_embedding_map;
  /**
    If non-NULL, we are optimizing a materialized semi-join nest.
    If NULL, we are optimizing a complete join plan.
  */
  const Table_ref *const emb_sjm_nest;
  /**
    When calculating a plan for a materialized semi-join nest,
    best_access_path() needs to know not only the remaining tables within the
    semi-join nest, but also all tables outside of this nest, because there may
    be key references between the semi-join nest and the outside tables
    that should not be considered when materializing the semi-join nest.
    @c excluded_tables tracks these tables.
  */
  const table_map excluded_tables;
  /*
    No need to call advance_sj_state() when
     1) there are no semijoin nests or
     2) we are optimizing a materialized semijoin nest.
  */
  const bool has_sj;
 
  /**
     If true, find_best_ref() must go through all keys, no shortcutting
     allowed.
  */
  bool test_all_ref_keys;
 
  /// True if we found a complete plan using only allowed semijoin strategies.
  bool found_plan_with_allowed_sj;
 
  /**
    False/true at start/end of choose_table_order().
    Helps member functions know if current plan is in join->positions or
    join->best_positions.
  */
  bool got_final_plan;
 
  /// Set true when we have decided to return with a "good enough" plan.
  bool use_best_so_far{false};
 
  inline Key_use *find_best_ref(const JOIN_TAB *tab,
                                const table_map remaining_tables,
                                const uint idx, const double prefix_rowcount,
                                bool *found_condition,
                                table_map *ref_depends_map,
                                uint *used_key_parts);
  double calculate_scan_cost(const JOIN_TAB *tab, const uint idx,
                             const Key_use *best_ref,
                             const double prefix_rowcount,
                             const bool found_condition,
                             const bool disable_jbuf,
                             double *rows_after_filtering,
                             Opt_trace_object *trace_access_scan);
  void best_access_path(JOIN_TAB *tab, const table_map remaining_tables,
                        const uint idx, bool disable_jbuf,
                        const double prefix_rowcount, POSITION *pos);
  bool semijoin_loosescan_fill_driving_table_position(
      const JOIN_TAB *s, table_map remaining_tables, uint idx,
      double prefix_rowcount, POSITION *loose_scan_pos);
  bool check_interleaving_with_nj(JOIN_TAB *next_tab);
  void advance_sj_state(table_map remaining_tables, const JOIN_TAB *tab,
                        uint idx);
  void backout_nj_state(const table_map remaining_tables, const JOIN_TAB *tab);
  void optimize_straight_join(table_map join_tables);
  bool greedy_search(table_map remaining_tables);
  bool best_extension_by_limited_search(table_map remaining_tables, uint idx,
                                        uint current_search_depth);
  table_map eq_ref_extension_by_limited_search(table_map remaining_tables,
                                               uint idx,
                                               uint current_search_depth);
  bool consider_plan(uint idx, Opt_trace_object *trace_obj);
  bool fix_semijoin_strategies();
  bool semijoin_firstmatch_loosescan_access_paths(uint first_tab, uint last_tab,
                                                  table_map remaining_tables,
                                                  bool loosescan,
                                                  double *newcount,
                                                  double *newcost);
  void semijoin_mat_scan_access_paths(uint last_inner_tab, uint last_outer_tab,
                                      table_map remaining_tables,
                                      Table_ref *sjm_nest, double *newcount,
                                      double *newcost);
  void semijoin_mat_lookup_access_paths(uint last_inner, Table_ref *sjm_nest,
                                        double *newcount, double *newcost);
  void semijoin_dupsweedout_access_paths(uint first_tab, uint last_tab,
                                         double *newcount, double *newcost);
 
  double lateral_derived_cost(const JOIN_TAB *tab, const uint idx,
                              const double prefix_rowcount,
                              const Cost_model_server *cost_model);
 
  table_map calculate_lateral_deps_of_final_plan(uint tab_no) const;
  bool plan_has_duplicate_tabs() const;
  static uint determine_search_depth(uint search_depth, uint table_count);
};
 
void get_partial_join_cost(JOIN *join, uint n_tables, double *cost_arg,
                           double *rowcount_arg);
 
/**
  Calculate 'Post read filtering' effect of JOIN::conds for table
  'tab'. Only conditions that are not directly involved in the chosen
  access method shall be included in the calculation of this 'Post
  read filtering' effect.
 
  The function first identifies fields that are directly used by the
  access method. This includes columns used by range and ref access types,
  and predicates on the identified columns (if any) will not be taken into
  account when the filtering effect is calculated.
 
  The function will then calculate the filtering effect of any predicate
  that applies to 'tab' and is not depending on the columns used by the
  access method. The source of information with highest accuracy is
  always preferred and is as follows:
    1) Row estimates from the range optimizer
    2) Row estimates from index statistics (records per key)
    3) Guesstimates
 
  Thus, after identifying columns that are used by the access method,
  the function will look for rows estimates made by the range optimizer.
  If found, the estimates from the range optimizer are calculated into
  the filtering effect.
 
  The function then goes through JOIN::conds to get estimates from any
  remaining predicate that applies to 'tab' and does not depend on any
  tables that come later in the join sequence. Predicates that depend on
  columns that are either used by the access method or used in the row
  estimate from the range optimizer will not be considered in this phase.
 
  @param tab          The table condition filtering effect is calculated
                      for
  @param keyuse       Describes the 'ref' access method (if any) that is
                      chosen
  @param used_tables  Tables earlier in the join sequence than 'tab'
  @param fanout       The number of rows read by the chosen access
                      method for each row combination of previous tables
  @param is_join_buffering  Whether or not condition filtering is about
                      to be calculated for an access method using join
                      buffering.
  @param write_to_trace Whether we should print the filtering effect calculated
                      by histogram statistics and the final aggregated filtering
                      effect to optimizer trace.
  @param parent_trace The parent trace object where the final aggregated
                      filtering effect will be printed if "write_to_trace" is
                      set to true.
 
  @return  the 'post read filtering' effect (between 0 and 1) of
           JOIN::conds
*/
float calculate_condition_filter(const JOIN_TAB *const tab,
                                 const Key_use *const keyuse,
                                 table_map used_tables, double fanout,
                                 bool is_join_buffering, bool write_to_trace,
                                 Opt_trace_object &parent_trace);
 
/**
  Find the cost for a ref lookup on the given index, assumed to return
  “num_rows” rows. The cost will be capped by “worst_seeks”
  (see find_worst_seeks()).
 */
double find_cost_for_ref(const THD *thd, TABLE *table, unsigned keyno,
                         double num_rows, double worst_seeks);
 
class Join_tab_compare_default {
 public:
  /**
    "Less than" comparison function object used to compare two JOIN_TAB
    objects based on a number of factors in this order:
 
     - table before another table that depends on it (straight join,
       outer join etc), then
     - table before another table that depends on it to use a key
       as access method, then
     - table with smallest number of records first, then
     - the table with lowest-value pointer (i.e., the one located
       in the lowest memory address) first.
 
    @param jt1  first JOIN_TAB object
    @param jt2  second JOIN_TAB object
 
    @note The order relation implemented by Join_tab_compare_default is not
      transitive, i.e. it is possible to choose a, b and c such that
      (a @< b) && (b @< c) but (c @< a). This is the case in the
      following example:
 
        a: dependent = @<none@> found_records = 3
        b: dependent = @<none@> found_records = 4
        c: dependent = b        found_records = 2
 
          a @< b: because a has fewer records
          b @< c: because c depends on b (e.g outer join dependency)
          c @< a: because c has fewer records
 
      This implies that the result of a sort using the relation
      implemented by Join_tab_compare_default () depends on the order in
      which elements are compared, i.e. the result is
      implementation-specific.
 
    @return
      true if jt1 is smaller than jt2, false otherwise
  */
  bool operator()(const JOIN_TAB *jt1, const JOIN_TAB *jt2) const;
};
 
#endif /* SQL_PLANNER_INCLUDED */