** generating the code that loops through a table looking for applicable
** rows.  Indices are selected and used to speed the search when doing
** so is applicable.  Because this module is responsible for selecting
** indices, you might also think of this module as the "query optimizer".
*/
#include "sqliteInt.h"




































/*
** Trace output macros
*/
#if defined(SQLITE_TEST) || defined(SQLITE_DEBUG)
int sqlite3WhereTrace = 0;
#endif
#if defined(SQLITE_TEST) && defined(SQLITE_DEBUG)
................................................................................
    return;
  }

  /* Search for any equality comparison term */
  pWCEnd = &pWC->a[pWC->nTerm];
  for(pTerm=pWC->a; pTerm<pWCEnd; pTerm++){
    if( termCanDriveIndex(pTerm, pSrc, notReady) ){
      WHERETRACE(("auto-index reduces cost from %.2f to %.2f\n",
                    pCost->rCost, costTempIdx));
      pCost->rCost = costTempIdx;
      pCost->plan.nRow = logN + 1;
      pCost->plan.wsFlags = WHERE_TEMP_INDEX;
      pCost->used = pTerm->prereqRight;
      break;
    }
................................................................................

  /* Loop over all indices looking for the best one to use
  */
  for(; pProbe; pIdx=pProbe=pProbe->pNext){
    const unsigned int * const aiRowEst = pProbe->aiRowEst;
    double cost;                /* Cost of using pProbe */
    double nRow;                /* Estimated number of rows in result set */


    int rev;                    /* True to scan in reverse order */
    double nSearch;             /* Estimated number of binary searches */
    int wsFlags = 0;
    Bitmask used = 0;

    /* The following variables are populated based on the properties of
    ** index being evaluated. They are then used to determine the expected
    ** cost and number of rows returned.
    **
................................................................................
    if( pIdx ){
      if( bLookup ){
        /* For an index lookup followed by a table lookup:
        **    nInMul index searches to find the start of each index range
        **  + nRow steps through the index
        **  + nRow table searches to lookup the table entry using the rowid
        */
        nSearch = nInMul + nRow/10;

      }else{
        /* For a covering index:
        **     nInMul binary searches to find the initial entry 
        **   + nRow steps through the index
        */
        nSearch = nInMul;

      }
    }else{
      /* For a rowid primary key lookup:
      **    nInMult binary searches to find the initial entry scaled by 1/10th
      **  + nRow steps through the table
      */

      nSearch = nInMul/10;
    }

    cost = nRow + nSearch*estLog(aiRowEst[0]);

    /* Add in the estimated cost of sorting the result.  This cost is expanded
    ** by a fudge factor of 3.0 to account for the fact that a sorting step 
    ** involves a write and is thus more expensive than a lookup step.
    */
    if( bSort ){
      cost += nRow*estLog(nRow)*(double)3;
    }

    /**** Cost of using this index has now been computed ****/

    /* If there are additional constraints on this table that cannot
    ** be used with the current index, but which might lower the number
    ** of output rows, adjust the nRow value accordingly.  This only 
................................................................................
      }
      if( nRow<2 ) nRow = 2;
    }


    WHERETRACE((
      "%s(%s): nEq=%d nInMul=%d estBound=%d bSort=%d bLookup=%d wsFlags=0x%x\n"
      "         notReady=0x%llx nRow=%.2f cost=%.2f used=0x%llx\n",

      pSrc->pTab->zName, (pIdx ? pIdx->zName : "ipk"), 
      nEq, nInMul, estBound, bSort, bLookup, wsFlags,
      notReady, nRow, cost, used

    ));

    /* If this index is the best we have seen so far, then record this
    ** index and its cost in the pCost structure.
    */
    if( (!pIdx || wsFlags)
     && (cost<pCost->rCost || (cost<=pCost->rCost && nRow<pCost->plan.nRow))

** generating the code that loops through a table looking for applicable
** rows.  Indices are selected and used to speed the search when doing
** so is applicable.  Because this module is responsible for selecting
** indices, you might also think of this module as the "query optimizer".
*/
#include "sqliteInt.h"


/*
** The following parameter define the relative cost of various
** search operations.  These parameters are used to estimate query
** plan costs and to select the query plan with the lowest estimated
** cost.
**
** Let the cost of moving from one row in a table or index to the next
** or previous row be SEEK_COST.
**
** Let the base-10 logarithm of the number of rows in a table or
** index be L.  The estLog() function below will estimate this
** numbmer given the number of rows in the table.
**
** The cost of doing a lookup of an index will be IDX_LKUP_COST*L.
**
** The cost of doing a lookup on a table is TBL_LKUP_COST*L.
**
** The cost of sorting a result set of N rows is assumed to be
** N*log10(N)*SORT_COST.
*/
#if defined(SEEK_COST)
  /* Assume that IDX_LKUP_COST, TBL_LKUP_COST, and SORT_COST are also defined */
#elif !defined(SQLITE_OMIT_FLOATING_POINT)
#  define SEEK_COST     1.0
#  define IDX_LKUP_COST 1.0
#  define TBL_LKUP_COST 0.1
#  define SORT_COST     3.0
#else
#  define SEEK_COST     10
#  define IDX_LKUP_COST 10
#  define TBL_LKUP_COST 1
#  define SORT_COST     30
#endif

/*
** Trace output macros
*/
#if defined(SQLITE_TEST) || defined(SQLITE_DEBUG)
int sqlite3WhereTrace = 0;
#endif
#if defined(SQLITE_TEST) && defined(SQLITE_DEBUG)
................................................................................
    return;
  }

  /* Search for any equality comparison term */
  pWCEnd = &pWC->a[pWC->nTerm];
  for(pTerm=pWC->a; pTerm<pWCEnd; pTerm++){
    if( termCanDriveIndex(pTerm, pSrc, notReady) ){
      WHERETRACE(("auto-index reduces cost from %.1f to %.1f\n",
                    pCost->rCost, costTempIdx));
      pCost->rCost = costTempIdx;
      pCost->plan.nRow = logN + 1;
      pCost->plan.wsFlags = WHERE_TEMP_INDEX;
      pCost->used = pTerm->prereqRight;
      break;
    }
................................................................................

  /* Loop over all indices looking for the best one to use
  */
  for(; pProbe; pIdx=pProbe=pProbe->pNext){
    const unsigned int * const aiRowEst = pProbe->aiRowEst;
    double cost;                /* Cost of using pProbe */
    double nRow;                /* Estimated number of rows in result set */
    double nTabSrch;            /* Est number of table searches */
    double nIdxSrch;            /* Est number of index searches */
    int rev;                    /* True to scan in reverse order */

    int wsFlags = 0;
    Bitmask used = 0;

    /* The following variables are populated based on the properties of
    ** index being evaluated. They are then used to determine the expected
    ** cost and number of rows returned.
    **
................................................................................
    if( pIdx ){
      if( bLookup ){
        /* For an index lookup followed by a table lookup:
        **    nInMul index searches to find the start of each index range
        **  + nRow steps through the index
        **  + nRow table searches to lookup the table entry using the rowid
        */
        nIdxSrch = nInMul;
        nTabSrch = nRow;
      }else{
        /* For a covering index:
        **     nInMul index searches to find the initial entry 
        **   + nRow steps through the index
        */
        nIdxSrch = nInMul;
        nTabSrch = 0;
      }
    }else{
      /* For a rowid primary key lookup:
      **    nInMult table searches to find the initial entry for each range
      **  + nRow steps through the table
      */
      nIdxSrch = 0;
      nTabSrch = nInMul;
    }
    cost = nRow + (nIdxSrch*IDX_LKUP_COST + nTabSrch*TBL_LKUP_COST)
                      *estLog(aiRowEst[0])/SEEK_COST;

    /* Add in the estimated cost of sorting the result.  This cost is expanded
    ** by a fudge factor of 3.0 to account for the fact that a sorting step 
    ** involves a write and is thus more expensive than a lookup step.
    */
    if( bSort ){
      cost += nRow*estLog(nRow)*SORT_COST/SEEK_COST;
    }

    /**** Cost of using this index has now been computed ****/

    /* If there are additional constraints on this table that cannot
    ** be used with the current index, but which might lower the number
    ** of output rows, adjust the nRow value accordingly.  This only 
................................................................................
      }
      if( nRow<2 ) nRow = 2;
    }


    WHERETRACE((
      "%s(%s): nEq=%d nInMul=%d estBound=%d bSort=%d bLookup=%d wsFlags=0x%x\n"
      "         notReady=0x%llx nTSrch=%.1f nISrch=%.1f nRow=%.1f\n"
      "         estLog=%.1f cost=%.1f used=0x%llx\n",
      pSrc->pTab->zName, (pIdx ? pIdx->zName : "ipk"), 
      nEq, nInMul, estBound, bSort, bLookup, wsFlags,

      notReady, nTabSrch, nIdxSrch, nRow, estLog(aiRowEst[0]), cost, used
    ));

    /* If this index is the best we have seen so far, then record this
    ** index and its cost in the pCost structure.
    */
    if( (!pIdx || wsFlags)
     && (cost<pCost->rCost || (cost<=pCost->rCost && nRow<pCost->plan.nRow))