#ifndef SQL_PLANNER_INCLUDED
#define SQL_PLANNER_INCLUDED

/* Copyright (c) 2000, 2013, Oracle and/or its affiliates. All rights reserved.

   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
   the Free Software Foundation; version 2 of the License.

   This program is distributed in the hope that it will be useful,
   but WITHOUT ANY WARRANTY; without even the implied warranty of
   MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
   GNU General Public License for more details.

   You should have received a copy of the GNU General Public License
   along with this program; if not, write to the Free Software
   Foundation, Inc., 51 Franklin St, Fifth Floor, Boston, MA 02110-1301  USA */

/** @file Join planner classes */

#include "sql_class.h"
#include "sql_select.h"
#include "sql_test.h"
#include "sql_optimizer.h"

class Opt_trace_object;

/**
  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_LIST *sjm_nest_arg)
  : thd(thd_arg), join(join_arg),
    search_depth(determine_search_depth(thd->variables.optimizer_search_depth,
                                        join->tables - join->const_tables)),
    prune_level(thd->variables.optimizer_prune_level),
    cur_embedding_map(0), emb_sjm_nest(sjm_nest_arg),
    excluded_tables((emb_sjm_nest ?
                     (join->all_table_map & ~emb_sjm_nest->sj_inner_tables) : 0) |
                    (join->allow_outer_refs ? 0 : OUTER_REF_TABLE_BIT)),
    has_sj(!(join->select_lex->sj_nests.is_empty() || emb_sjm_nest)),
    test_all_ref_keys(false)
  {}
  ~Optimize_table_order()
  {}
  /**
    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();

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_LIST *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;

  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,
                                                      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);
  void 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, bool final,
                double *newcount, double *newcost);
  void semijoin_mat_scan_access_paths(
                uint last_inner_tab, uint last_outer_tab, 
                table_map remaining_tables, TABLE_LIST *sjm_nest, bool final,
                double *newcount, double *newcost);
  void semijoin_mat_lookup_access_paths(
                uint last_inner, TABLE_LIST *sjm_nest,
                double *newcount, double *newcost);
  void semijoin_dupsweedout_access_paths(
                uint first_tab, uint last_tab, 
                table_map remaining_tables, 
                double *newcount, double *newcost);

  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.
  @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);
#endif /* SQL_PLANNER_INCLUDED */
