};

struct Fts3auxCursor {
  sqlite3_vtab_cursor base;       /* Base class used by SQLite core */
  Fts3SegReaderCursor csr;        /* Must be right after "base" */
  Fts3SegFilter filter;
  char *zStop;
  int nStop;
  int isEof;
  sqlite3_int64 iRowid;




  sqlite3_int64 nDoc;
  sqlite3_int64 nOcc;

};

/*
** Schema of the terms table.
*/
#define FTS3_TERMS_SCHEMA "CREATE TABLE x(term, documents, occurrences)"

/*
** This function does all the work for both the xConnect and xCreate methods.
** These tables have no persistent representation of their own, so xConnect
** and xCreate are identical operations.
*/
static int fts3auxConnectMethod(
................................................................................
  Fts3Table *pFts3 = ((Fts3auxTable *)pCursor->pVtab)->pFts3Tab;
  Fts3auxCursor *pCsr = (Fts3auxCursor *)pCursor;

  sqlite3Fts3SegmentsClose(pFts3);
  sqlite3Fts3SegReaderFinish(&pCsr->csr);
  sqlite3_free((void *)pCsr->filter.zTerm);
  sqlite3_free(pCsr->zStop);

  sqlite3_free(pCsr);
  return SQLITE_OK;
}

















/*
** xNext - Advance the cursor to the next row, if any.
*/
static int fts3auxNextMethod(sqlite3_vtab_cursor *pCursor){
  Fts3auxCursor *pCsr = (Fts3auxCursor *)pCursor;
  Fts3Table *pFts3 = ((Fts3auxTable *)pCursor->pVtab)->pFts3Tab;
  int rc;








  rc = sqlite3Fts3SegReaderStep(pFts3, &pCsr->csr);
  if( rc==SQLITE_ROW ){
    int i;
    int isIgnore = 1;
    int nDoclist = pCsr->csr.nDoclist;
    char *aDoclist = pCsr->csr.aDoclist;




    if( pCsr->zStop ){
      int n = (pCsr->nStop<pCsr->csr.nTerm) ? pCsr->nStop : pCsr->csr.nTerm;
      int mc = memcmp(pCsr->zStop, pCsr->csr.zTerm, n);
      if( mc<0 || (mc==0 && pCsr->csr.nTerm>pCsr->nStop) ){
        pCsr->isEof = 1;
        return SQLITE_OK;
      }
    }

    /* Now count the number of documents and positions in the doclist
    ** in pCsr->csr.aDoclist[]. Store the number of documents in pCsr->nDoc
    ** and the number of occurrences in pCsr->nOcc.  */
    pCsr->nDoc = 0;
    pCsr->nOcc = 0;
    i = 0;

    while( i<nDoclist ){
      sqlite3_int64 v = 0;

      i += sqlite3Fts3GetVarint(&aDoclist[i], &v);

      if( isIgnore ){



        isIgnore = 0;












      }else if( v>1 ){
        pCsr->nOcc++;
      }else{
        if( v==0 ) pCsr->nDoc++;
        isIgnore = 1;

      }


    }






















    rc = SQLITE_OK;
    pCsr->iRowid++;
  }else{
    pCsr->isEof = 1;
  }
  return rc;
}

/*
................................................................................
  );
  isScan = (idxNum!=FTS4AUX_EQ_CONSTRAINT);

  /* In case this cursor is being reused, close and zero it. */
  testcase(pCsr->filter.zTerm);
  sqlite3Fts3SegReaderFinish(&pCsr->csr);
  sqlite3_free((void *)pCsr->filter.zTerm);

  memset(&pCsr->csr, 0, ((u8*)&pCsr[1]) - (u8*)&pCsr->csr);

  pCsr->filter.flags = FTS3_SEGMENT_REQUIRE_POS|FTS3_SEGMENT_IGNORE_EMPTY;
  if( isScan ) pCsr->filter.flags |= FTS3_SEGMENT_SCAN;

  if( idxNum&(FTS4AUX_EQ_CONSTRAINT|FTS4AUX_GE_CONSTRAINT) ){
    const unsigned char *zStr = sqlite3_value_text(apVal[0]);
................................................................................
  int iCol                        /* Index of column to read value from */
){
  Fts3auxCursor *p = (Fts3auxCursor *)pCursor;

  assert( p->isEof==0 );
  if( iCol==0 ){        /* Column "term" */
    sqlite3_result_text(pContext, p->csr.zTerm, p->csr.nTerm, SQLITE_TRANSIENT);
  }else if( iCol==1 ){  /* Column "documents" */






    sqlite3_result_int64(pContext, p->nDoc);
  }else{                /* Column "occurrences" */
    sqlite3_result_int64(pContext, p->nOcc);
  }

  return SQLITE_OK;
}

/*
** xRowid - Return the current rowid for the cursor.

};

struct Fts3auxCursor {
  sqlite3_vtab_cursor base;       /* Base class used by SQLite core */
  Fts3SegReaderCursor csr;        /* Must be right after "base" */
  Fts3SegFilter filter;
  char *zStop;
  int nStop;                      /* Byte-length of string zStop */
  int isEof;                      /* True if cursor is at EOF */
  sqlite3_int64 iRowid;           /* Current rowid */

  int iCol;                       /* Current value of 'col' column */
  int nStat;                      /* Size of aStat[] array */
  struct Fts3auxColstats {
    sqlite3_int64 nDoc;           /* 'documents' values for current csr row */
    sqlite3_int64 nOcc;           /* 'occurrences' values for current csr row */
  } *aStat;
};

/*
** Schema of the terms table.
*/
#define FTS3_TERMS_SCHEMA "CREATE TABLE x(term, col, documents, occurrences)"

/*
** This function does all the work for both the xConnect and xCreate methods.
** These tables have no persistent representation of their own, so xConnect
** and xCreate are identical operations.
*/
static int fts3auxConnectMethod(
................................................................................
  Fts3Table *pFts3 = ((Fts3auxTable *)pCursor->pVtab)->pFts3Tab;
  Fts3auxCursor *pCsr = (Fts3auxCursor *)pCursor;

  sqlite3Fts3SegmentsClose(pFts3);
  sqlite3Fts3SegReaderFinish(&pCsr->csr);
  sqlite3_free((void *)pCsr->filter.zTerm);
  sqlite3_free(pCsr->zStop);
  sqlite3_free(pCsr->aStat);
  sqlite3_free(pCsr);
  return SQLITE_OK;
}

static int fts3auxGrowStatArray(Fts3auxCursor *pCsr, int nSize){
  if( nSize>pCsr->nStat ){
    struct Fts3auxColstats *aNew;
    aNew = (struct Fts3auxColstats *)sqlite3_realloc(pCsr->aStat, 
        sizeof(struct Fts3auxColstats) * nSize
    );
    if( aNew==0 ) return SQLITE_NOMEM;
    memset(&aNew[pCsr->nStat], 0, 
        sizeof(struct Fts3auxColstats) * (nSize - pCsr->nStat)
    );
    pCsr->aStat = aNew;
    pCsr->nStat = nSize;
  }
  return SQLITE_OK;
}

/*
** xNext - Advance the cursor to the next row, if any.
*/
static int fts3auxNextMethod(sqlite3_vtab_cursor *pCursor){
  Fts3auxCursor *pCsr = (Fts3auxCursor *)pCursor;
  Fts3Table *pFts3 = ((Fts3auxTable *)pCursor->pVtab)->pFts3Tab;
  int rc;

  /* Increment our pretend rowid value. */
  pCsr->iRowid++;

  for(pCsr->iCol++; pCsr->iCol<pCsr->nStat; pCsr->iCol++){
    if( pCsr->aStat[pCsr->iCol].nDoc>0 ) return SQLITE_OK;
  }

  rc = sqlite3Fts3SegReaderStep(pFts3, &pCsr->csr);
  if( rc==SQLITE_ROW ){
    int i = 0;

    int nDoclist = pCsr->csr.nDoclist;
    char *aDoclist = pCsr->csr.aDoclist;
    int iCol;

    int eState = 0;

    if( pCsr->zStop ){
      int n = (pCsr->nStop<pCsr->csr.nTerm) ? pCsr->nStop : pCsr->csr.nTerm;
      int mc = memcmp(pCsr->zStop, pCsr->csr.zTerm, n);
      if( mc<0 || (mc==0 && pCsr->csr.nTerm>pCsr->nStop) ){
        pCsr->isEof = 1;
        return SQLITE_OK;
      }
    }

    if( fts3auxGrowStatArray(pCsr, 2) ) return SQLITE_NOMEM;
    memset(pCsr->aStat, 0, sizeof(struct Fts3auxColstats) * pCsr->nStat);



    iCol = 0;

    while( i<nDoclist ){
      sqlite3_int64 v = 0;

      i += sqlite3Fts3GetVarint(&aDoclist[i], &v);
      switch( eState ){
        /* State 0. In this state the integer just read was a docid. */
        case 0:
          pCsr->aStat[0].nDoc++;
          eState = 1;
          iCol = 0;
          break;

        /* State 1. In this state we are expecting either a 1, indicating
        ** that the following integer will be a column number, or the
        ** start of a position list for column 0.  
        ** 
        ** The only difference between state 1 and state 2 is that if the
        ** integer encountered in state 1 is not 0 or 1, then we need to
        ** increment the column 0 "nDoc" count for this term.
        */
        case 1:
          assert( iCol==0 );
          if( v>1 ){




            pCsr->aStat[1].nDoc++;
          }
          eState = 2;
          /* fall through */

        case 2:
          if( v==0 ){       /* 0x00. Next integer will be a docid. */
            eState = 0;
          }else if( v==1 ){ /* 0x01. Next integer will be a column number. */
            eState = 3;
          }else{            /* 2 or greater. A position. */
            pCsr->aStat[iCol+1].nOcc++;
            pCsr->aStat[0].nOcc++;
          }
          break;

        /* State 3. The integer just read is a column number. */
        case 3:
          iCol = (int)v;
          if( fts3auxGrowStatArray(pCsr, iCol+2) ) return SQLITE_NOMEM;
          pCsr->aStat[iCol+1].nDoc++;
          eState = 2;
          break;
      }
    }

    pCsr->iCol = 0;
    rc = SQLITE_OK;

  }else{
    pCsr->isEof = 1;
  }
  return rc;
}

/*
................................................................................
  );
  isScan = (idxNum!=FTS4AUX_EQ_CONSTRAINT);

  /* In case this cursor is being reused, close and zero it. */
  testcase(pCsr->filter.zTerm);
  sqlite3Fts3SegReaderFinish(&pCsr->csr);
  sqlite3_free((void *)pCsr->filter.zTerm);
  sqlite3_free(pCsr->aStat);
  memset(&pCsr->csr, 0, ((u8*)&pCsr[1]) - (u8*)&pCsr->csr);

  pCsr->filter.flags = FTS3_SEGMENT_REQUIRE_POS|FTS3_SEGMENT_IGNORE_EMPTY;
  if( isScan ) pCsr->filter.flags |= FTS3_SEGMENT_SCAN;

  if( idxNum&(FTS4AUX_EQ_CONSTRAINT|FTS4AUX_GE_CONSTRAINT) ){
    const unsigned char *zStr = sqlite3_value_text(apVal[0]);
................................................................................
  int iCol                        /* Index of column to read value from */
){
  Fts3auxCursor *p = (Fts3auxCursor *)pCursor;

  assert( p->isEof==0 );
  if( iCol==0 ){        /* Column "term" */
    sqlite3_result_text(pContext, p->csr.zTerm, p->csr.nTerm, SQLITE_TRANSIENT);
  }else if( iCol==1 ){  /* Column "col" */
    if( p->iCol ){
      sqlite3_result_int(pContext, p->iCol-1);
    }else{
      sqlite3_result_text(pContext, "*", -1, SQLITE_STATIC);
    }
  }else if( iCol==2 ){  /* Column "documents" */
    sqlite3_result_int64(pContext, p->aStat[p->iCol].nDoc);
  }else{                /* Column "occurrences" */
    sqlite3_result_int64(pContext, p->aStat[p->iCol].nOcc);
  }

  return SQLITE_OK;
}

/*
** xRowid - Return the current rowid for the cursor.

** If this function is called with iLevel<0, but there is only one
** segment in the database, SQLITE_DONE is returned immediately. 
** Otherwise, if successful, SQLITE_OK is returned. If an error occurs, 
** an SQLite error code is returned.
*/
static int fts3SegmentMerge(Fts3Table *p, int iLevel){
  int rc;                         /* Return code */
  int iIdx;                       /* Index of new segment */
  int iNewLevel = 0;              /* Level to create new segment at */
  SegmentWriter *pWriter = 0;     /* Used to write the new, merged, segment */
  Fts3SegFilter filter;           /* Segment term filter condition */
  Fts3SegReaderCursor csr;        /* Cursor to iterate through level(s) */

  rc = sqlite3Fts3SegReaderCursor(p, iLevel, 0, 0, 1, 0, &csr);
  if( rc!=SQLITE_OK || csr.nSegment==0 ) goto finished;
................................................................................
    ** greatest segment level currently present in the database. The index
    ** of the new segment is always 0.  */
    int nDummy; /* TODO: Remove this */
    if( csr.nSegment==1 ){
      rc = SQLITE_DONE;
      goto finished;
    }
    iIdx = 0;
    rc = fts3SegmentCountMax(p, &nDummy, &iNewLevel);
  }else{
    /* This call is to merge all segments at level iLevel. Find the next
    ** available segment index at level iLevel+1. The call to
    ** fts3AllocateSegdirIdx() will merge the segments at level iLevel+1 to 
    ** a single iLevel+2 segment if necessary.  */
    iNewLevel = iLevel+1;

** If this function is called with iLevel<0, but there is only one
** segment in the database, SQLITE_DONE is returned immediately. 
** Otherwise, if successful, SQLITE_OK is returned. If an error occurs, 
** an SQLite error code is returned.
*/
static int fts3SegmentMerge(Fts3Table *p, int iLevel){
  int rc;                         /* Return code */
  int iIdx = 0;                   /* Index of new segment */
  int iNewLevel = 0;              /* Level to create new segment at */
  SegmentWriter *pWriter = 0;     /* Used to write the new, merged, segment */
  Fts3SegFilter filter;           /* Segment term filter condition */
  Fts3SegReaderCursor csr;        /* Cursor to iterate through level(s) */

  rc = sqlite3Fts3SegReaderCursor(p, iLevel, 0, 0, 1, 0, &csr);
  if( rc!=SQLITE_OK || csr.nSegment==0 ) goto finished;
................................................................................
    ** greatest segment level currently present in the database. The index
    ** of the new segment is always 0.  */
    int nDummy; /* TODO: Remove this */
    if( csr.nSegment==1 ){
      rc = SQLITE_DONE;
      goto finished;
    }

    rc = fts3SegmentCountMax(p, &nDummy, &iNewLevel);
  }else{
    /* This call is to merge all segments at level iLevel. Find the next
    ** available segment index at level iLevel+1. The call to
    ** fts3AllocateSegdirIdx() will merge the segments at level iLevel+1 to 
    ** a single iLevel+2 segment if necessary.  */
    iNewLevel = iLevel+1;

do_execsql_test 1.1 {
  CREATE VIRTUAL TABLE t1 USING fts4;
  INSERT INTO t1 VALUES('one two three four');
  INSERT INTO t1 VALUES('three four five six');
  INSERT INTO t1 VALUES('one three five seven');

  CREATE VIRTUAL TABLE terms USING fts4aux(t1);
  SELECT * FROM terms;
} {
  five  2 2     four  2 2     one   2 2     seven 1 1 
  six   1 1     three 3 3     two   1 1
}

do_execsql_test 1.2 {
  INSERT INTO t1 VALUES('one one one three three three');
  SELECT * FROM terms;
} { 
  five  2 2     four  2 2     one   3 5     seven 1 1 
  six   1 1     three 4 6     two   1 1
}

do_execsql_test 1.3 {
  DELETE FROM t1;
  SELECT * FROM terms;
} {}

do_execsql_test 1.4 {
  INSERT INTO t1 VALUES('a b a b a b a');
  INSERT INTO t1 SELECT * FROM t1;
  INSERT INTO t1 SELECT * FROM t1;
  INSERT INTO t1 SELECT * FROM t1;
  INSERT INTO t1 SELECT * FROM t1;
  INSERT INTO t1 SELECT * FROM t1;
  INSERT INTO t1 SELECT * FROM t1;
  INSERT INTO t1 SELECT * FROM t1;
  INSERT INTO t1 SELECT * FROM t1;
  SELECT * FROM terms;
} {a 256 1024    b 256 768}

#-------------------------------------------------------------------------
# The following tests verify that the fts4aux module uses the full-text
# index to reduce the number of rows scanned in the following circumstances:
#
#   * when there is equality comparison against the term column using the 
................................................................................
  DROP TABLE t1;
  DROP TABLE terms;

  CREATE VIRTUAL TABLE x1 USING fts4(x);
  INSERT INTO x1(x1) VALUES('nodesize=24');
  CREATE VIRTUAL TABLE terms USING fts4aux(x1);




  INSERT INTO x1 VALUES('braes brag bragged bragger bragging');
  INSERT INTO x1 VALUES('brags braid braided braiding braids');
  INSERT INTO x1 VALUES('brain brainchild brained braining brains');
  INSERT INTO x1 VALUES('brainstem brainstems brainstorm brainstorms'); 
}

proc rec {varname x} {
................................................................................
} {0 0 0 {SCAN TABLE terms VIRTUAL TABLE INDEX 0: (~0 rows)}}

# Now show that using "term='braid'" means the virtual table returns
# only 1 row to SQLite, but "+term='braid'" means all 19 are returned.
#
do_test 2.1.2.1 {
  set cnt 0
  execsql { SELECT * FROM terms WHERE rec('cnt', term) AND term='braid' }
  set cnt
} {1}
do_test 2.1.2.2 {
  set cnt 0
  execsql { SELECT * FROM terms WHERE rec('cnt', term) AND +term='braid' }
  set cnt
} {19}

# Similar to the test immediately above, but using a term ("breakfast") that 
# is not featured in the dataset.
#
do_test 2.1.3.1 {
  set cnt 0
  execsql { SELECT * FROM terms WHERE rec('cnt', term) AND term='breakfast' }
  set cnt
} {0}
do_test 2.1.3.2 {
  set cnt 0
  execsql { SELECT * FROM terms WHERE rec('cnt', term) AND +term='breakfast' }
  set cnt
} {19}

do_execsql_test 2.1.4.1 { SELECT * FROM terms WHERE term='braid'  } {braid 1 1}
do_execsql_test 2.1.4.2 { SELECT * FROM terms WHERE +term='braid' } {braid 1 1}
do_execsql_test 2.1.4.3 { SELECT * FROM terms WHERE term='breakfast'  } {}
do_execsql_test 2.1.4.4 { SELECT * FROM terms WHERE +term='breakfast' } {}

do_execsql_test 2.1.4.5 { SELECT * FROM terms WHERE term='cba'  } {}
do_execsql_test 2.1.4.6 { SELECT * FROM terms WHERE +term='cba' } {}
do_execsql_test 2.1.4.7 { SELECT * FROM terms WHERE term='abc'  } {}
do_execsql_test 2.1.4.8 { SELECT * FROM terms WHERE +term='abc' } {}

# Special case: term=NULL
#
do_execsql_test 2.1.5 { SELECT * FROM terms WHERE term=NULL } {}

do_execsql_test 2.2.1.1 {
  EXPLAIN QUERY PLAN SELECT * FROM terms WHERE term>'brain'
................................................................................
  EXPLAIN QUERY PLAN SELECT * FROM terms WHERE +term BETWEEN 'brags' AND 'brain'
} { 0 0 0 {SCAN TABLE terms VIRTUAL TABLE INDEX 0: (~0 rows)} }

do_test 2.2.2.1 {
  set cnt 0
  execsql { SELECT * FROM terms WHERE rec('cnt', term) AND term>'brain' }
  set cnt
} {9}
do_test 2.2.2.2 {
  set cnt 0
  execsql { SELECT * FROM terms WHERE rec('cnt', term) AND +term>'brain' }
  set cnt
} {19}
do_execsql_test 2.2.2.3 {
  SELECT * FROM terms WHERE rec('cnt', term) AND term>'brain'
} {
  brainchild 1 1 brained 1 1 braining 1 1 brains 1 1 
  brainstem 1 1 brainstems 1 1 brainstorm 1 1 brainstorms 1 1
}
do_execsql_test 2.2.2.4 {
  SELECT * FROM terms WHERE rec('cnt', term) AND +term>'brain'
} {
  brainchild 1 1 brained 1 1 braining 1 1 brains 1 1 
  brainstem 1 1 brainstems 1 1 brainstorm 1 1 brainstorms 1 1
}
do_execsql_test 2.2.2.5 {
  SELECT * FROM terms WHERE rec('cnt', term) AND term>='brain'
} {
  brain 1 1
  brainchild 1 1 brained 1 1 braining 1 1 brains 1 1 
  brainstem 1 1 brainstems 1 1 brainstorm 1 1 brainstorms 1 1
}
do_execsql_test 2.2.2.6 {
  SELECT * FROM terms WHERE rec('cnt', term) AND +term>='brain'
} {
  brain 1 1
  brainchild 1 1 brained 1 1 braining 1 1 brains 1 1 
  brainstem 1 1 brainstems 1 1 brainstorm 1 1 brainstorms 1 1
}

do_execsql_test 2.2.2.7 {
  SELECT * FROM terms WHERE term>='abc'
} {
  braes 1 1 brag 1 1 bragged 1 1 bragger 1 1 
  bragging 1 1 brags 1 1 braid 1 1 braided 1 1 
  braiding 1 1 braids 1 1 brain 1 1 brainchild 1 1 
  brained 1 1 braining 1 1 brains 1 1 brainstem 1 1 
  brainstems 1 1 brainstorm 1 1 brainstorms 1 1
}
do_execsql_test 2.2.2.8 {
  SELECT * FROM terms WHERE +term>='abc'
} {
  braes 1 1 brag 1 1 bragged 1 1 bragger 1 1 
  bragging 1 1 brags 1 1 braid 1 1 braided 1 1 
  braiding 1 1 braids 1 1 brain 1 1 brainchild 1 1 
  brained 1 1 braining 1 1 brains 1 1 brainstem 1 1 
  brainstems 1 1 brainstorm 1 1 brainstorms 1 1
}

do_execsql_test 2.2.2.9 {
  SELECT * FROM terms WHERE term>='brainstorms'
} {brainstorms 1 1}
do_execsql_test 2.2.2.10 {
  SELECT * FROM terms WHERE term>='brainstorms'
} {brainstorms 1 1}
do_execsql_test 2.2.2.11 { SELECT * FROM terms WHERE term>'brainstorms' } {}
do_execsql_test 2.2.2.12 { SELECT * FROM terms WHERE term>'brainstorms' } {}

do_execsql_test 2.2.2.13 { SELECT * FROM terms WHERE term>'cba' } {}
do_execsql_test 2.2.2.14 { SELECT * FROM terms WHERE term>'cba' } {}

do_test 2.2.3.1 {
  set cnt 0
  execsql { SELECT * FROM terms WHERE rec('cnt', term) AND term<'brain' }
  set cnt
} {11}
do_test 2.2.3.2 {
  set cnt 0
  execsql { SELECT * FROM terms WHERE rec('cnt', term) AND +term<'brain' }
  set cnt
} {19}
do_execsql_test 2.2.3.3 {
  SELECT * FROM terms WHERE rec('cnt', term) AND term<'brain'
} {
  braes 1 1 brag 1 1 bragged 1 1 bragger 1 1 bragging 1 1 
  brags 1 1 braid 1 1 braided 1 1 braiding 1 1 braids 1 1
}
do_execsql_test 2.2.3.4 {
  SELECT * FROM terms WHERE rec('cnt', term) AND +term<'brain'
} {
  braes 1 1 brag 1 1 bragged 1 1 bragger 1 1 bragging 1 1 
  brags 1 1 braid 1 1 braided 1 1 braiding 1 1 braids 1 1
}
do_execsql_test 2.2.3.5 {
  SELECT * FROM terms WHERE rec('cnt', term) AND term<='brain'
} {
  braes 1 1 brag 1 1 bragged 1 1 bragger 1 1 bragging 1 1 
  brags 1 1 braid 1 1 braided 1 1 braiding 1 1 braids 1 1
  brain 1 1
}
do_execsql_test 2.2.3.6 {
  SELECT * FROM terms WHERE rec('cnt', term) AND +term<='brain'
} {
  braes 1 1 brag 1 1 bragged 1 1 bragger 1 1 bragging 1 1 
  brags 1 1 braid 1 1 braided 1 1 braiding 1 1 braids 1 1
  brain 1 1
}

do_test 2.2.4.1 {
  set cnt 0
  execsql { 
    SELECT * FROM terms 
    WHERE rec('cnt', term) AND term BETWEEN 'brags' AND 'brain' 
  }
  set cnt
} {6}
do_test 2.2.4.2 {
  set cnt 0
  execsql { 
    SELECT * FROM terms 
    WHERE rec('cnt', term) AND +term BETWEEN 'brags' AND 'brain' 
  }
  set cnt
} {19}
do_execsql_test 2.2.4.3 {
  SELECT * FROM terms 
  WHERE rec('cnt', term) AND term BETWEEN 'brags' AND 'brain' 
} {
  brags 1 1 braid 1 1 braided 1 1 braiding 1 1 braids 1 1 brain 1 1 
}
do_execsql_test 2.2.4.4 {
  SELECT * FROM terms 
  WHERE rec('cnt', term) AND +term BETWEEN 'brags' AND 'brain' 
} {
  brags 1 1 braid 1 1 braided 1 1 braiding 1 1 braids 1 1 brain 1 1 
}
do_execsql_test 2.2.4.5 {
  SELECT * FROM terms 
  WHERE rec('cnt', term) AND term > 'brags' AND term < 'brain' 
} {
  braid 1 1 braided 1 1 braiding 1 1 braids 1 1
}
do_execsql_test 2.2.4.6 {
  SELECT * FROM terms 
  WHERE rec('cnt', term) AND +term > 'brags' AND +term < 'brain' 
} {
  braid 1 1 braided 1 1 braiding 1 1 braids 1 1
}

# Check that "ORDER BY term ASC" and equivalents are sorted by the
# virtual table implementation. Any other ORDER BY clause requires
................................................................................
  CREATE TABLE x3(y);
  CREATE INDEX i1 ON x3(y);

  INSERT INTO x1 VALUES('a b c d e');
  INSERT INTO x1 VALUES('f g h i j');
  INSERT INTO x1 VALUES('k k l l a');

  INSERT INTO x2 SELECT term FROM terms;
  INSERT INTO x3 SELECT term FROM terms;
}

proc do_plansql_test {tn sql r} {
  uplevel do_execsql_test $tn [list "EXPLAIN QUERY PLAN $sql ; $sql"] [list $r]
}


do_plansql_test 4.2 {
  SELECT y FROM x2, terms WHERE y = term
} {
  0 0 0 {SCAN TABLE x2 (~1000000 rows)} 
  0 1 1 {SCAN TABLE terms VIRTUAL TABLE INDEX 1: (~0 rows)} 
  a b c d e f g h i j k l
}

do_plansql_test 4.3 {
  SELECT y FROM terms, x2 WHERE y = term
} {
  0 0 1 {SCAN TABLE x2 (~1000000 rows)} 
  0 1 0 {SCAN TABLE terms VIRTUAL TABLE INDEX 1: (~0 rows)} 
  a b c d e f g h i j k l
}

do_plansql_test 4.4 {
  SELECT y FROM x3, terms WHERE y = term
} {
  0 0 1 {SCAN TABLE terms VIRTUAL TABLE INDEX 0: (~0 rows)} 
  0 1 0 {SEARCH TABLE x3 USING COVERING INDEX i1 (y=?) (~10 rows)}
  a b c d e f g h i j k l
}

do_plansql_test 4.5 {
  SELECT y FROM terms, x3 WHERE y = term AND occurrences>1
} {
  0 0 0 {SCAN TABLE terms VIRTUAL TABLE INDEX 0: (~0 rows)} 
  0 1 1 {SEARCH TABLE x3 USING COVERING INDEX i1 (y=?) (~10 rows)}
  a k l
}


finish_test

do_execsql_test 1.1 {
  CREATE VIRTUAL TABLE t1 USING fts4;
  INSERT INTO t1 VALUES('one two three four');
  INSERT INTO t1 VALUES('three four five six');
  INSERT INTO t1 VALUES('one three five seven');

  CREATE VIRTUAL TABLE terms USING fts4aux(t1);
  SELECT term, documents, occurrences FROM terms WHERE col = '*';
} {
  five  2 2     four  2 2     one   2 2     seven 1 1 
  six   1 1     three 3 3     two   1 1
}

do_execsql_test 1.2 {
  INSERT INTO t1 VALUES('one one one three three three');
  SELECT term, documents, occurrences FROM terms WHERE col = '*';
} { 
  five  2 2     four  2 2     one   3 5     seven 1 1 
  six   1 1     three 4 6     two   1 1
}

do_execsql_test 1.3 {
  DELETE FROM t1;
  SELECT term, documents, occurrences FROM terms WHERE col = '*';
} {}

do_execsql_test 1.4 {
  INSERT INTO t1 VALUES('a b a b a b a');
  INSERT INTO t1 SELECT * FROM t1;
  INSERT INTO t1 SELECT * FROM t1;
  INSERT INTO t1 SELECT * FROM t1;
  INSERT INTO t1 SELECT * FROM t1;
  INSERT INTO t1 SELECT * FROM t1;
  INSERT INTO t1 SELECT * FROM t1;
  INSERT INTO t1 SELECT * FROM t1;
  INSERT INTO t1 SELECT * FROM t1;
  SELECT term, documents, occurrences FROM terms WHERE col = '*';
} {a 256 1024    b 256 768}

#-------------------------------------------------------------------------
# The following tests verify that the fts4aux module uses the full-text
# index to reduce the number of rows scanned in the following circumstances:
#
#   * when there is equality comparison against the term column using the 
................................................................................
  DROP TABLE t1;
  DROP TABLE terms;

  CREATE VIRTUAL TABLE x1 USING fts4(x);
  INSERT INTO x1(x1) VALUES('nodesize=24');
  CREATE VIRTUAL TABLE terms USING fts4aux(x1);

  CREATE VIEW terms_v AS 
  SELECT term, documents, occurrences FROM terms WHERE col = '*';

  INSERT INTO x1 VALUES('braes brag bragged bragger bragging');
  INSERT INTO x1 VALUES('brags braid braided braiding braids');
  INSERT INTO x1 VALUES('brain brainchild brained braining brains');
  INSERT INTO x1 VALUES('brainstem brainstems brainstorm brainstorms'); 
}

proc rec {varname x} {
................................................................................
} {0 0 0 {SCAN TABLE terms VIRTUAL TABLE INDEX 0: (~0 rows)}}

# Now show that using "term='braid'" means the virtual table returns
# only 1 row to SQLite, but "+term='braid'" means all 19 are returned.
#
do_test 2.1.2.1 {
  set cnt 0
  execsql { SELECT * FROM terms_v WHERE rec('cnt', term) AND term='braid' }
  set cnt
} {2}
do_test 2.1.2.2 {
  set cnt 0
  execsql { SELECT * FROM terms_v WHERE rec('cnt', term) AND +term='braid' }
  set cnt
} {38}

# Similar to the test immediately above, but using a term ("breakfast") that 
# is not featured in the dataset.
#
do_test 2.1.3.1 {
  set cnt 0
  execsql { SELECT * FROM terms_v WHERE rec('cnt', term) AND term='breakfast' }
  set cnt
} {0}
do_test 2.1.3.2 {
  set cnt 0
  execsql { SELECT * FROM terms_v WHERE rec('cnt', term) AND +term='breakfast' }
  set cnt
} {38}

do_execsql_test 2.1.4.1 { SELECT * FROM terms_v WHERE term='braid' } {braid 1 1}
do_execsql_test 2.1.4.2 { SELECT * FROM terms_v WHERE +term='braid'} {braid 1 1}
do_execsql_test 2.1.4.3 { SELECT * FROM terms_v WHERE term='breakfast'  } {}
do_execsql_test 2.1.4.4 { SELECT * FROM terms_v WHERE +term='breakfast' } {}

do_execsql_test 2.1.4.5 { SELECT * FROM terms_v WHERE term='cba'  } {}
do_execsql_test 2.1.4.6 { SELECT * FROM terms_v WHERE +term='cba' } {}
do_execsql_test 2.1.4.7 { SELECT * FROM terms_v WHERE term='abc'  } {}
do_execsql_test 2.1.4.8 { SELECT * FROM terms_v WHERE +term='abc' } {}

# Special case: term=NULL
#
do_execsql_test 2.1.5 { SELECT * FROM terms WHERE term=NULL } {}

do_execsql_test 2.2.1.1 {
  EXPLAIN QUERY PLAN SELECT * FROM terms WHERE term>'brain'
................................................................................
  EXPLAIN QUERY PLAN SELECT * FROM terms WHERE +term BETWEEN 'brags' AND 'brain'
} { 0 0 0 {SCAN TABLE terms VIRTUAL TABLE INDEX 0: (~0 rows)} }

do_test 2.2.2.1 {
  set cnt 0
  execsql { SELECT * FROM terms WHERE rec('cnt', term) AND term>'brain' }
  set cnt
} {18}
do_test 2.2.2.2 {
  set cnt 0
  execsql { SELECT * FROM terms WHERE rec('cnt', term) AND +term>'brain' }
  set cnt
} {38}
do_execsql_test 2.2.2.3 {
  SELECT term, documents, occurrences FROM terms_v WHERE term>'brain'
} {
  brainchild 1 1 brained 1 1 braining 1 1 brains 1 1 
  brainstem 1 1 brainstems 1 1 brainstorm 1 1 brainstorms 1 1
}
do_execsql_test 2.2.2.4 {
  SELECT term, documents, occurrences FROM terms_v WHERE +term>'brain'
} {
  brainchild 1 1 brained 1 1 braining 1 1 brains 1 1 
  brainstem 1 1 brainstems 1 1 brainstorm 1 1 brainstorms 1 1
}
do_execsql_test 2.2.2.5 {
  SELECT term, documents, occurrences FROM terms_v WHERE term>='brain'
} {
  brain 1 1
  brainchild 1 1 brained 1 1 braining 1 1 brains 1 1 
  brainstem 1 1 brainstems 1 1 brainstorm 1 1 brainstorms 1 1
}
do_execsql_test 2.2.2.6 {
  SELECT term, documents, occurrences FROM terms_v WHERE +term>='brain'
} {
  brain 1 1
  brainchild 1 1 brained 1 1 braining 1 1 brains 1 1 
  brainstem 1 1 brainstems 1 1 brainstorm 1 1 brainstorms 1 1
}

do_execsql_test 2.2.2.7 {
  SELECT term, documents, occurrences FROM terms_v WHERE term>='abc'
} {
  braes 1 1 brag 1 1 bragged 1 1 bragger 1 1 
  bragging 1 1 brags 1 1 braid 1 1 braided 1 1 
  braiding 1 1 braids 1 1 brain 1 1 brainchild 1 1 
  brained 1 1 braining 1 1 brains 1 1 brainstem 1 1 
  brainstems 1 1 brainstorm 1 1 brainstorms 1 1
}
do_execsql_test 2.2.2.8 {
  SELECT term, documents, occurrences FROM terms_v WHERE +term>='abc'
} {
  braes 1 1 brag 1 1 bragged 1 1 bragger 1 1 
  bragging 1 1 brags 1 1 braid 1 1 braided 1 1 
  braiding 1 1 braids 1 1 brain 1 1 brainchild 1 1 
  brained 1 1 braining 1 1 brains 1 1 brainstem 1 1 
  brainstems 1 1 brainstorm 1 1 brainstorms 1 1
}

do_execsql_test 2.2.2.9 {
  SELECT term, documents, occurrences FROM terms_v WHERE term>='brainstorms'
} {brainstorms 1 1}
do_execsql_test 2.2.2.10 {
  SELECT term, documents, occurrences FROM terms_v WHERE term>='brainstorms'
} {brainstorms 1 1}
do_execsql_test 2.2.2.11 { SELECT * FROM terms_v WHERE term>'brainstorms' } {}
do_execsql_test 2.2.2.12 { SELECT * FROM terms_v WHERE term>'brainstorms' } {}

do_execsql_test 2.2.2.13 { SELECT * FROM terms_v WHERE term>'cba' } {}
do_execsql_test 2.2.2.14 { SELECT * FROM terms_v WHERE term>'cba' } {}

do_test 2.2.3.1 {
  set cnt 0
  execsql { SELECT * FROM terms WHERE rec('cnt', term) AND term<'brain' }
  set cnt
} {22}
do_test 2.2.3.2 {
  set cnt 0
  execsql { SELECT * FROM terms WHERE rec('cnt', term) AND +term<'brain' }
  set cnt
} {38}
do_execsql_test 2.2.3.3 {
  SELECT term, documents, occurrences FROM terms_v WHERE term<'brain'
} {
  braes 1 1 brag 1 1 bragged 1 1 bragger 1 1 bragging 1 1 
  brags 1 1 braid 1 1 braided 1 1 braiding 1 1 braids 1 1
}
do_execsql_test 2.2.3.4 {
  SELECT term, documents, occurrences FROM terms_v WHERE +term<'brain'
} {
  braes 1 1 brag 1 1 bragged 1 1 bragger 1 1 bragging 1 1 
  brags 1 1 braid 1 1 braided 1 1 braiding 1 1 braids 1 1
}
do_execsql_test 2.2.3.5 {
  SELECT term, documents, occurrences FROM terms_v WHERE term<='brain'
} {
  braes 1 1 brag 1 1 bragged 1 1 bragger 1 1 bragging 1 1 
  brags 1 1 braid 1 1 braided 1 1 braiding 1 1 braids 1 1
  brain 1 1
}
do_execsql_test 2.2.3.6 {
  SELECT term, documents, occurrences FROM terms_v WHERE +term<='brain'
} {
  braes 1 1 brag 1 1 bragged 1 1 bragger 1 1 bragging 1 1 
  brags 1 1 braid 1 1 braided 1 1 braiding 1 1 braids 1 1
  brain 1 1
}

do_test 2.2.4.1 {
  set cnt 0
  execsql { 
    SELECT term, documents, occurrences FROM terms 
    WHERE rec('cnt', term) AND term BETWEEN 'brags' AND 'brain' 
  }
  set cnt
} {12}
do_test 2.2.4.2 {
  set cnt 0
  execsql { 
    SELECT term, documents, occurrences FROM terms 
    WHERE rec('cnt', term) AND +term BETWEEN 'brags' AND 'brain' 
  }
  set cnt
} {38}
do_execsql_test 2.2.4.3 {
  SELECT term, documents, occurrences FROM terms_v 
  WHERE rec('cnt', term) AND term BETWEEN 'brags' AND 'brain' 
} {
  brags 1 1 braid 1 1 braided 1 1 braiding 1 1 braids 1 1 brain 1 1 
}
do_execsql_test 2.2.4.4 {
  SELECT term, documents, occurrences FROM terms_v 
  WHERE rec('cnt', term) AND +term BETWEEN 'brags' AND 'brain' 
} {
  brags 1 1 braid 1 1 braided 1 1 braiding 1 1 braids 1 1 brain 1 1 
}
do_execsql_test 2.2.4.5 {
  SELECT term, documents, occurrences FROM terms_v 
  WHERE rec('cnt', term) AND term > 'brags' AND term < 'brain' 
} {
  braid 1 1 braided 1 1 braiding 1 1 braids 1 1
}
do_execsql_test 2.2.4.6 {
  SELECT term, documents, occurrences FROM terms_v 
  WHERE rec('cnt', term) AND +term > 'brags' AND +term < 'brain' 
} {
  braid 1 1 braided 1 1 braiding 1 1 braids 1 1
}

# Check that "ORDER BY term ASC" and equivalents are sorted by the
# virtual table implementation. Any other ORDER BY clause requires
................................................................................
  CREATE TABLE x3(y);
  CREATE INDEX i1 ON x3(y);

  INSERT INTO x1 VALUES('a b c d e');
  INSERT INTO x1 VALUES('f g h i j');
  INSERT INTO x1 VALUES('k k l l a');

  INSERT INTO x2 SELECT term FROM terms WHERE col = '*';
  INSERT INTO x3 SELECT term FROM terms WHERE col = '*';
}

proc do_plansql_test {tn sql r} {
  uplevel do_execsql_test $tn [list "EXPLAIN QUERY PLAN $sql ; $sql"] [list $r]
}


do_plansql_test 4.2 {
  SELECT y FROM x2, terms WHERE y = term AND col = '*'
} {
  0 0 0 {SCAN TABLE x2 (~1000000 rows)} 
  0 1 1 {SCAN TABLE terms VIRTUAL TABLE INDEX 1: (~0 rows)} 
  a b c d e f g h i j k l
}

do_plansql_test 4.3 {
  SELECT y FROM terms, x2 WHERE y = term AND col = '*'
} {
  0 0 1 {SCAN TABLE x2 (~1000000 rows)} 
  0 1 0 {SCAN TABLE terms VIRTUAL TABLE INDEX 1: (~0 rows)} 
  a b c d e f g h i j k l
}

do_plansql_test 4.4 {
  SELECT y FROM x3, terms WHERE y = term AND col = '*'
} {
  0 0 1 {SCAN TABLE terms VIRTUAL TABLE INDEX 0: (~0 rows)} 
  0 1 0 {SEARCH TABLE x3 USING COVERING INDEX i1 (y=?) (~10 rows)}
  a b c d e f g h i j k l
}

do_plansql_test 4.5 {
  SELECT y FROM terms, x3 WHERE y = term AND occurrences>1 AND col = '*'
} {
  0 0 0 {SCAN TABLE terms VIRTUAL TABLE INDEX 0: (~0 rows)} 
  0 1 1 {SEARCH TABLE x3 USING COVERING INDEX i1 (y=?) (~10 rows)}
  a k l
}


finish_test

  } {{one two three} {two four six}}
  
  # Delete a row and check that the full-text index is correctly updated.
  # Inspect the full-text index using an fts4aux table.
  #
  do_execsql_test 1.$tn.7 {
    CREATE VIRTUAL TABLE terms USING fts4aux(t1);
    SELECT * FROM terms;
  } {
    eight 1 1    four 2 2    nine 1 1    one 1 1 
    six 2 2      three 2 2   twelve 1 1  two 1 2
  }
  do_execsql_test 1.$tn.8 {
    DELETE FROM t1 WHERE docid = 1;
    SELECT * FROM terms;
  } {
    eight 1 1   four 1 1    nine 1 1 
    six 1 1     three 1 1   twelve 1 1
  }
  do_execsql_test 1.$tn.9 { SELECT c0a, c1b FROM t1_content } {3 4}
}

  } {{one two three} {two four six}}
  
  # Delete a row and check that the full-text index is correctly updated.
  # Inspect the full-text index using an fts4aux table.
  #
  do_execsql_test 1.$tn.7 {
    CREATE VIRTUAL TABLE terms USING fts4aux(t1);
    SELECT term, documents, occurrences FROM terms WHERE col = '*';
  } {
    eight 1 1    four 2 2    nine 1 1    one 1 1 
    six 2 2      three 2 2   twelve 1 1  two 1 2
  }
  do_execsql_test 1.$tn.8 {
    DELETE FROM t1 WHERE docid = 1;
    SELECT term, documents, occurrences FROM terms WHERE col = '*';
  } {
    eight 1 1   four 1 1    nine 1 1 
    six 1 1     three 1 1   twelve 1 1
  }
  do_execsql_test 1.$tn.9 { SELECT c0a, c1b FROM t1_content } {3 4}
}