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Overview
Comment:Restructuring and generalizing analyze5.test. The whole script is currently disabled and will need to be reenabled prior to merging with trunk.
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SHA1: 31fcc7067bd76da4bf19232811b90cf8b76eed74
User & Date: drh 2011-01-24 17:46:35
Context
2011-01-28
01:57
Change the weighting of binary searches on tables to 1/10th the cost of a search on an index. Change the assumed reduction in search space from a indexed range constraint from 1/3rd to 1/4th. Do not let the estimated number of rows drop below 1. check-in: 4847c6cb user: drh tags: stat2-enhancement
2011-01-24
17:46
Restructuring and generalizing analyze5.test. The whole script is currently disabled and will need to be reenabled prior to merging with trunk. check-in: 31fcc706 user: drh tags: stat2-enhancement
15:11
Change the cost estimator in the query planner to take into account the logN rowid lookup cost when going from an index to a table. check-in: b442525b user: drh tags: stat2-enhancement
Changes
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Changes to test/analyze5.test.

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#
#***********************************************************************
#
# This file implements tests for SQLite library.  The focus of the tests
# in this file is the use of the sqlite_stat2 histogram data on tables
# with many repeated values and only a few distinct values.
#



set testdir [file dirname $argv0]
source $testdir/tester.tcl

ifcapable !stat2 {
  finish_test
  return
................................................................................

set testprefix analyze5

proc eqp {sql {db db}} {
  uplevel execsql [list "EXPLAIN QUERY PLAN $sql"] $db
}

do_test analyze5-1.0 {
  execsql { CREATE TABLE t1(x INTEGER PRIMARY KEY, y, z) }
  for {set i 0} {$i < 1000} {incr i} {
    set j [expr {$i>=25 && $i<=50}]
    set k [expr {($i>=400) + ($i>=700) + ($i>=875)}]
    execsql { INSERT INTO t1 VALUES($i,$j,$k) }
  }
  execsql { 
    CREATE INDEX t1y ON t1(y);
    CREATE INDEX t1z ON t1(z);
    ANALYZE;
    SELECT * FROM sqlite_stat2 ORDER BY 1, 2, 3;
  }
} [list t1 t1y 0 0 \
        t1 t1y 1 0 \
        t1 t1y 2 0 \
        t1 t1y 3 0 \
        t1 t1y 4 0 \
        t1 t1y 5 0 \
        t1 t1y 6 0 \
        t1 t1y 7 0 \
        t1 t1y 8 0 \
        t1 t1y 9 0 \
        t1 t1z 0 0 \
        t1 t1z 1 0 \
        t1 t1z 2 0 \
        t1 t1z 3 0 \
        t1 t1z 4 1 \
        t1 t1z 5 1 \
        t1 t1z 6 1 \
        t1 t1z 7 2 \
        t1 t1z 8 2 \
        t1 t1z 9 3]

# Verify that range queries generate the correct row count estimates
#
foreach {testid where rows} {
  1  {z>=0 AND z<=0}     400
  2  {z>=1 AND z<=1}     300
  3  {z>=2 AND z<=2}     200
  4  {z>=3 AND z<=3}     100
  5  {z>=4 AND z<=4}      50
  6  {z>=-1 AND z<=-1}    50
  7  {z>1 AND z<3}       200
  8  {z>0 AND z<100}     600
  9  {z>=1 AND z<100}    600
 10  {z>1 AND z<100}     300
 11  {z>=2 AND z<100}    300
 12  {z>2 AND z<100}     100
 13  {z>=3 AND z<100}    100
 14  {z>3 AND z<100}      50
 15  {z>=4 AND z<100}     50
 16  {z>=-100 AND z<=-1}  50
 17  {z>=-100 AND z<=0}  400
 18  {z>=-100 AND z<0}    50
 19  {z>=-100 AND z<=1}  700
 20  {z>=-100 AND z<2}   700
 21  {z>=-100 AND z<=2}  900
 22  {z>=-100 AND z<3}   900

 31  {z>=0.0 AND z<=0.0}   400
 32  {z>=1.0 AND z<=1.0}   300
 33  {z>=2.0 AND z<=2.0}   200
 34  {z>=3.0 AND z<=3.0}   100
 35  {z>=4.0 AND z<=4.0}    50
 36  {z>=-1.0 AND z<=-1.0}  50
 37  {z>1.5 AND z<3.0}     200
 38  {z>0.5 AND z<100}     600
 39  {z>=1.0 AND z<100}    600
 40  {z>1.5 AND z<100}     300
 41  {z>=2.0 AND z<100}    300
 42  {z>2.1 AND z<100}     100
 43  {z>=3.0 AND z<100}    100
 44  {z>3.2 AND z<100}      50
 45  {z>=4.0 AND z<100}     50
 46  {z>=-100 AND z<=-1.0}  50
 47  {z>=-100 AND z<=0.0}  400
 48  {z>=-100 AND z<0.0}    50
 49  {z>=-100 AND z<=1.0}  700
 50  {z>=-100 AND z<2.0}   700
 51  {z>=-100 AND z<=2.0}  900
 52  {z>=-100 AND z<3.0}   900

} {
  do_test analyze5-1.$testid {
    eqp "SELECT * FROM t1 WHERE $where"
  } [format {0 0 0 {SEARCH TABLE t1 USING INDEX t1z (z>? AND z<?) (~%d rows)}} \
       $rows]
}
foreach {testid where rows} {
  101  {z=-1}            50
  102  {z=0}            400
  103  {z=1}            300
  104  {z=2}            200
  105  {z=3}            100
  106  {z=4}             50
  107  {z=-10.0}         50
  108  {z=0.0}          400
  109  {z=1.0}          300
  110  {z=2.0}          200
  111  {z=3.0}          100
  112  {z=4.0}           50
  113  {z=1.5}           50
  114  {z=2.5}           50
} {
  do_test analyze5-1.$testid {
    eqp "SELECT * FROM t1 WHERE $where"
  } [format {0 0 0 {SEARCH TABLE t1 USING INDEX t1z (z=?) (~%d rows)}} $rows]
}

# for the next sequence of tests a value of rows<=0 means a full-table scan
# is used.
#
#set sqlite_where_trace 1
foreach {testid where rows} {
  201  {z IN (-1)}            50
  202  {z IN (0)}            400
  203  {z IN (1)}            300
  204  {z IN (2)}            200
  205  {z IN (3)}            100
  206  {z IN (4)}             50
  207  {z IN (0.5)}           50
  208  {z IN (0,1)}          700
  209  {z IN (0,1,2)}        900
  210  {z IN (0,1,2,3)}        0
  211  {z IN (0,1,2,3,4,5)}    0
  212  {z IN (1,2)}          500
  213  {z IN (2,3)}          300
  214  {z=3 OR z=2}          300
  215  {z IN (-1,3)}         150
  216  {z=-1 OR z=3}         150
} {
  if {$rows<=0} {
    set ans {SCAN TABLE t1 (~100 rows)}
  } else {
    set ans [format {SEARCH TABLE t1 USING INDEX t1z (z=?) (~%d rows)} $rows]
  }
  do_test analyze5-1.$testid {
    lindex [eqp "SELECT * FROM t1 WHERE $where"] 3
  } $ans
}

# For the t1.y column, most entries are known to be zero.  So do a 
# full table scan for y=0 but use the index for any other constraint on
# y.
#
do_test analyze5-201 {
  eqp {SELECT * FROM t1 WHERE y=0}
} {0 0 0 {SCAN TABLE t1 (~100 rows)}}
do_test analyze5-202 {
  eqp {SELECT * FROM t1 WHERE y=1}
} {0 0 0 {SEARCH TABLE t1 USING INDEX t1y (y=?) (~50 rows)}}
do_test analyze5-203 {
  eqp {SELECT * FROM t1 WHERE y=0.1}
} {0 0 0 {SEARCH TABLE t1 USING INDEX t1y (y=?) (~50 rows)}}








# Change the table values from integer to floating point and then
# repeat the same sequence of tests.  We should get the same results.
#
do_test analyze5-2.0 {
  db eval {
    UPDATE t1 SET z=z+0.0;







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#
#***********************************************************************
#
# This file implements tests for SQLite library.  The focus of the tests
# in this file is the use of the sqlite_stat2 histogram data on tables
# with many repeated values and only a few distinct values.
#

return

set testdir [file dirname $argv0]
source $testdir/tester.tcl

ifcapable !stat2 {
  finish_test
  return
................................................................................

set testprefix analyze5

proc eqp {sql {db db}} {
  uplevel execsql [list "EXPLAIN QUERY PLAN $sql"] $db
}

unset -nocomplain i t u v w x y z
do_test analyze5-1.0 {
  db eval {CREATE TABLE t1(t,u,v TEXT COLLATE nocase,w,x,y,z)}
  for {set i 0} {$i < 1000} {incr i} {
    set y [expr {$i>=25 && $i<=50}]
    set z [expr {($i>=400) + ($i>=700) + ($i>=875)}]
    set x $z
    set w $z
    set t [expr {$z+0.5}]
    switch $z {
      0 {set u "alpha"; unset x}
      1 {set u "bravo"}
      2 {set u "charlie"}
      3 {set u "delta"; unset w}
    }
    if {$i%2} {set v $u} {set v [string toupper $u]}
    db eval {INSERT INTO t1 VALUES($t,$u,$v,$w,$x,$y,$z)}
  }
  db eval { 
    CREATE INDEX t1t ON t1(t);  -- 0.5, 1.5, 2.5, and 3.5
    CREATE INDEX t1u ON t1(u);  -- text
    CREATE INDEX t1v ON t1(v);  -- mixed case text
    CREATE INDEX t1w ON t1(w);  -- integers 0, 1, 2 and a few NULLs
    CREATE INDEX t1x ON t1(x);  -- integers 1, 2, 3 and many NULLs
    CREATE INDEX t1y ON t1(y);  -- integers 0 and very few 1s
    CREATE INDEX t1z ON t1(z);  -- integers 0, 1, 2, and 3
    ANALYZE;
    SELECT sample FROM sqlite_stat2 WHERE idx='t1u' ORDER BY sampleno;
  }
} {alpha alpha alpha alpha bravo bravo bravo charlie charlie delta}
do_test analyze5-1.1 {
  string tolower \
   [db eval {SELECT sample from sqlite_stat2 WHERE idx='t1v' ORDER BY sampleno}]
} {alpha alpha alpha alpha bravo bravo bravo charlie charlie delta}
do_test analyze5-1.2 {
  db eval {SELECT sample from sqlite_stat2 WHERE idx='t1w' ORDER BY sampleno}
} {{} 0 0 0 0 1 1 1 2 2}
do_test analyze5-1.3 {
  db eval {SELECT sample from sqlite_stat2 WHERE idx='t1x' ORDER BY sampleno}
} {{} {} {} {} 1 1 1 2 2 3}
do_test analyze5-1.4 {
  db eval {SELECT sample from sqlite_stat2 WHERE idx='t1y' ORDER BY sampleno}
} {0 0 0 0 0 0 0 0 0 0}
do_test analyze5-1.5 {
  db eval {SELECT sample from sqlite_stat2 WHERE idx='t1z' ORDER BY sampleno}
} {0 0 0 0 1 1 1 2 2 3}
do_test analyze5-1.6 {
  db eval {SELECT sample from sqlite_stat2 WHERE idx='t1t' ORDER BY sampleno}
} {0.5 0.5 0.5 0.5 1.5 1.5 1.5 2.5 2.5 3.5}


# Verify that range queries generate the correct row count estimates
#
foreach {testid where index rows} {
    1  {z>=0 AND z<=0}       t1z  400
    2  {z>=1 AND z<=1}       t1z  300
    3  {z>=2 AND z<=2}       t1z  200
    4  {z>=3 AND z<=3}       t1z  100
    5  {z>=4 AND z<=4}       t1z   50
    6  {z>=-1 AND z<=-1}     t1z   50
    7  {z>1 AND z<3}         t1z  200
    8  {z>0 AND z<100}       t1z  600
    9  {z>=1 AND z<100}      t1z  600
   10  {z>1 AND z<100}       t1z  300
   11  {z>=2 AND z<100}      t1z  300
   12  {z>2 AND z<100}       t1z  100
   13  {z>=3 AND z<100}      t1z  100
   14  {z>3 AND z<100}       t1z   50
   15  {z>=4 AND z<100}      t1z   50
   16  {z>=-100 AND z<=-1}   t1z   50
   17  {z>=-100 AND z<=0}    t1z  400
   18  {z>=-100 AND z<0}     t1z   50
   19  {z>=-100 AND z<=1}    t1z  700
   20  {z>=-100 AND z<2}     t1z  700
   21  {z>=-100 AND z<=2}    t1z  900
   22  {z>=-100 AND z<3}     t1z  900
  
   31  {z>=0.0 AND z<=0.0}   t1z  400
   32  {z>=1.0 AND z<=1.0}   t1z  300
   33  {z>=2.0 AND z<=2.0}   t1z  200
   34  {z>=3.0 AND z<=3.0}   t1z  100
   35  {z>=4.0 AND z<=4.0}   t1z   50
   36  {z>=-1.0 AND z<=-1.0} t1z   50
   37  {z>1.5 AND z<3.0}     t1z  200
   38  {z>0.5 AND z<100}     t1z  600
   39  {z>=1.0 AND z<100}    t1z  600
   40  {z>1.5 AND z<100}     t1z  300
   41  {z>=2.0 AND z<100}    t1z  300
   42  {z>2.1 AND z<100}     t1z  100
   43  {z>=3.0 AND z<100}    t1z  100
   44  {z>3.2 AND z<100}     t1z   50
   45  {z>=4.0 AND z<100}    t1z   50
   46  {z>=-100 AND z<=-1.0} t1z   50
   47  {z>=-100 AND z<=0.0}  t1z  400
   48  {z>=-100 AND z<0.0}   t1z   50
   49  {z>=-100 AND z<=1.0}  t1z  700
   50  {z>=-100 AND z<2.0}   t1z  700
   51  {z>=-100 AND z<=2.0}  t1z  900
   52  {z>=-100 AND z<3.0}   t1z  900
  
  101  {z=-1}                t1z   50
  102  {z=0}                 t1z  400
  103  {z=1}                 t1z  300
  104  {z=2}                 t1z  200
  105  {z=3}                 t1z  100
  106  {z=4}                 t1z   50
  107  {z=-10.0}             t1z   50
  108  {z=0.0}               t1z  400
  109  {z=1.0}               t1z  300
  110  {z=2.0}               t1z  200
  111  {z=3.0}               t1z  100
  112  {z=4.0}               t1z   50
  113  {z=1.5}               t1z   50
  114  {z=2.5}               t1z   50
  
  201  {z IN (-1)}           t1z   50
  202  {z IN (0)}            t1z  400
  203  {z IN (1)}            t1z  300
  204  {z IN (2)}            t1z  200
  205  {z IN (3)}            t1z  100
  206  {z IN (4)}            t1z   50
  207  {z IN (0.5)}          t1z   50
  208  {z IN (0,1)}          t1z  700
  209  {z IN (0,1,2)}        t1z  900
  210  {z IN (0,1,2,3)}      {}   100
  211  {z IN (0,1,2,3,4,5)}  {}   100
  212  {z IN (1,2)}          t1z  500
  213  {z IN (2,3)}          t1z  300
  214  {z=3 OR z=2}          t1z  300
  215  {z IN (-1,3)}         t1z  150
  216  {z=-1 OR z=3}         t1z  150

  300  {y=0}                 {}   100
  301  {y=1}                 t1y   50
  302  {y=0.1}               t1y   50

} {
  # Verify that the expected index is used with the expected row count
  do_test analyze5-1.${testid}a {
    set x [lindex [eqp "SELECT * FROM t1 WHERE $where"] 3]
    set idx {}
    regexp {INDEX (t1.) } $x all idx
    regexp {~([0-9]+) rows} $x all nrow
    list $idx $nrow
  } [list $index $rows]

  # Verify that the same result is achieved regardless of whether or not
  # the index is used
  do_test analyze5-1.${testid}b {
    set w2 [string map {y +y z +z} $where]
    set a1 [db eval "SELECT rowid FROM t1 NOT INDEXED WHERE $w2\
                     ORDER BY +rowid"]
    set a2 [db eval "SELECT rowid FROM t1 WHERE $where ORDER BY +rowid"]
    if {$a1==$a2} {
      set res ok
    } else {
      set res "a1=\[$a1\] a2=\[$a2\]"
    }
    set res
  } {ok}
}
exit

# Change the table values from integer to floating point and then
# repeat the same sequence of tests.  We should get the same results.
#
do_test analyze5-2.0 {
  db eval {
    UPDATE t1 SET z=z+0.0;