Restructuring and generalizing analyze5.test. The whole script is

currently disabled and will need to be reenabled prior to merging with trunk.

FossilOrigin-Name: 31fcc7067bd76da4bf19232811b90cf8b76eed74
This commit is contained in:
drh 2011-01-24 17:46:35 +00:00
parent b966194a63
commit fc4491366b
3 changed files with 161 additions and 152 deletions

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D 2011-01-24T15:11:23.443
C Restructuring\sand\sgeneralizing\sanalyze5.test.\s\s\sThe\swhole\sscript\sis\ncurrently\sdisabled\sand\swill\sneed\sto\sbe\sreenabled\sprior\sto\smerging\swith\strunk.
D 2011-01-24T17:46:35.872
F Makefile.arm-wince-mingw32ce-gcc d6df77f1f48d690bd73162294bbba7f59507c72f
F Makefile.in de6498556d536ae60bb8bb10e8c1ba011448658c
F Makefile.linux-gcc 91d710bdc4998cb015f39edf3cb314ec4f4d7e23
@ -256,7 +256,7 @@ F test/analyze.test c1eb87067fc16ece7c07e823d6395fd831b270c5
F test/analyze2.test f45ac8d54bdad822139e53fc6307fc6b5ee41c69
F test/analyze3.test 820ddfb7591b49607fbaf77240c7955ac3cabb04
F test/analyze4.test 757b37875cf9bb528d46f74497bc789c88365045
F test/analyze5.test c19fe600c48dade660eb374fa7209435463c2d4a
F test/analyze5.test 12df6def85e21971888f8be3c1867a505f1bf587
F test/async.test ad4ba51b77cd118911a3fe1356b0809da9c108c3
F test/async2.test bf5e2ca2c96763b4cba3d016249ad7259a5603b6
F test/async3.test 93edaa9122f498e56ea98c36c72abc407f4fb11e
@ -900,14 +900,14 @@ F tool/speedtest2.tcl ee2149167303ba8e95af97873c575c3e0fab58ff
F tool/speedtest8.c 2902c46588c40b55661e471d7a86e4dd71a18224
F tool/speedtest8inst1.c 293327bc76823f473684d589a8160bde1f52c14e
F tool/vdbe-compress.tcl d70ea6d8a19e3571d7ab8c9b75cba86d1173ff0f
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b442525b0ba642bb8d57b87b7b9e373b6046454a
31fcc7067bd76da4bf19232811b90cf8b76eed74

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# with many repeated values and only a few distinct values.
#
return
set testdir [file dirname $argv0]
source $testdir/tester.tcl
@ -28,161 +30,168 @@ proc eqp {sql {db db}} {
uplevel execsql [list "EXPLAIN QUERY PLAN $sql"] $db
}
unset -nocomplain i t u v w x y z
do_test analyze5-1.0 {
execsql { CREATE TABLE t1(x INTEGER PRIMARY KEY, y, z) }
db eval {CREATE TABLE t1(t,u,v TEXT COLLATE nocase,w,x,y,z)}
for {set i 0} {$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,$k) }
set y [expr {$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)}
}
execsql {
CREATE INDEX t1y ON t1(y);
CREATE INDEX t1z ON t1(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 * FROM sqlite_stat2 ORDER BY 1, 2, 3;
SELECT sample FROM sqlite_stat2 WHERE idx='t1u' ORDER BY sampleno;
}
} [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]
} {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 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
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
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
300 {y=0} {} 100
301 {y=1} t1y 50
302 {y=0.1} t1y 50
} {
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)}} $rows]
}
# Verify that the expected index is used with the expected row count
do_test analyze5-1.${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 $rows]
# for the next sequence of tests a value of rows<=0 means a full-table scan
# is used.
#
#set sqlite_where_trace 1
foreach {testid where rows} {
201 {z IN (-1)} 50
202 {z IN (0)} 400
203 {z IN (1)} 300
204 {z IN (2)} 200
205 {z IN (3)} 100
206 {z IN (4)} 50
207 {z IN (0.5)} 50
208 {z IN (0,1)} 700
209 {z IN (0,1,2)} 900
210 {z IN (0,1,2,3)} 0
211 {z IN (0,1,2,3,4,5)} 0
212 {z IN (1,2)} 500
213 {z IN (2,3)} 300
214 {z=3 OR z=2} 300
215 {z IN (-1,3)} 150
216 {z=-1 OR z=3} 150
} {
if {$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
} $ans
# Verify that the same result is achieved regardless of whether or not
# the index is used
do_test analyze5-1.${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}
}
# 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)}}
exit
# Change the table values from integer to floating point and then
# repeat the same sequence of tests. We should get the same results.