# 2008 May 23
#
# The author disclaims copyright to this source code. In place of
# a legal notice, here is a blessing:
#
# May you do good and not evil.
# May you find forgiveness for yourself and forgive others.
# May you share freely, never taking more than you give.
#
#***********************************************************************
#
# Randomized test cases for the rtree extension.
#
if {![info exists testdir]} {
set testdir [file join [file dirname [info script]] .. .. test]
}
source [file join [file dirname [info script]] rtree_util.tcl]
source $testdir/tester.tcl
ifcapable !rtree {
finish_test
return
}
set ::NROW 2500
if {[info exists G(isquick)] && $G(isquick)} {
set ::NROW 250
}
ifcapable !rtree_int_only {
# Return a floating point number between -X and X.
#
proc rand {X} {
return [expr {int((rand()-0.5)*1024.0*$X)/512.0}]
}
# Return a positive floating point number less than or equal to X
#
proc randincr {X} {
while 1 {
set r [expr {int(rand()*$X*32.0)/32.0}]
if {$r>0.0} {return $r}
}
}
} else {
# For rtree_int_only, return an number between -X and X.
#
proc rand {X} {
return [expr {int((rand()-0.5)*2*$X)}]
}
# Return a positive integer less than or equal to X
#
proc randincr {X} {
while 1 {
set r [expr {int(rand()*$X)+1}]
if {$r>0} {return $r}
}
}
}
# Scramble the $inlist into a random order.
#
proc scramble {inlist} {
set y {}
foreach x $inlist {
lappend y [list [expr {rand()}] $x]
}
set y [lsort $y]
set outlist {}
foreach x $y {
lappend outlist [lindex $x 1]
}
return $outlist
}
# Always use the same random seed so that the sequence of tests
# is repeatable.
#
expr {srand(1234)}
# Run these tests for all number of dimensions between 1 and 5.
#
for {set nDim 1} {$nDim<=5} {incr nDim} {
# Construct an rtree virtual table and an ordinary btree table
# to mirror it. The ordinary table should be much slower (since
# it has to do a full table scan) but should give the exact same
# answers.
#
do_test rtree4-$nDim.1 {
set clist {}
set cklist {}
for {set i 0} {$i<$nDim} {incr i} {
lappend clist mn$i mx$i
lappend cklist "mn$i<mx$i"
}
db eval "DROP TABLE IF EXISTS rx"
db eval "DROP TABLE IF EXISTS bx"
db eval "CREATE VIRTUAL TABLE rx USING rtree(id, [join $clist ,])"
db eval "CREATE TABLE bx(id INTEGER PRIMARY KEY,\
[join $clist ,], CHECK( [join $cklist { AND }] ))"
} {}
# Do many insertions of small objects. Do both overlapping and
# contained-within queries after each insert to verify that all
# is well.
#
unset -nocomplain where
for {set i 1} {$i<$::NROW} {incr i} {
# Do a random insert
#
do_test rtree4-$nDim.2.$i.1 {
set vlist {}
for {set j 0} {$j<$nDim} {incr j} {
set mn [rand 10000]
set mx [expr {$mn+[randincr 50]}]
lappend vlist $mn $mx
}
db eval "INSERT INTO rx VALUES(NULL, [join $vlist ,])"
db eval "INSERT INTO bx VALUES(NULL, [join $vlist ,])"
} {}
# Do a contained-in query on all dimensions
#
set where {}
for {set j 0} {$j<$nDim} {incr j} {
set mn [rand 10000]
set mx [expr {$mn+[randincr 500]}]
lappend where mn$j>=$mn mx$j<=$mx
}
set where "WHERE [join $where { AND }]"
do_test rtree4-$nDim.2.$i.2 {
list $where [db eval "SELECT id FROM rx $where ORDER BY id"]
} [list $where [db eval "SELECT id FROM bx $where ORDER BY id"]]
# Do an overlaps query on all dimensions
#
set where {}
for {set j 0} {$j<$nDim} {incr j} {
set mn [rand 10000]
set mx [expr {$mn+[randincr 500]}]
lappend where mx$j>=$mn mn$j<=$mx
}
set where "WHERE [join $where { AND }]"
do_test rtree4-$nDim.2.$i.3 {
list $where [db eval "SELECT id FROM rx $where ORDER BY id"]
} [list $where [db eval "SELECT id FROM bx $where ORDER BY id"]]
# Do a contained-in query with surplus contraints at the beginning.
# This should force a full-table scan on the rtree.
#
set where {}
for {set j 0} {$j<$nDim} {incr j} {
lappend where mn$j>-10000 mx$j<10000
}
for {set j 0} {$j<$nDim} {incr j} {
set mn [rand 10000]
set mx [expr {$mn+[randincr 500]}]
lappend where mn$j>=$mn mx$j<=$mx
}
set where "WHERE [join $where { AND }]"
do_test rtree4-$nDim.2.$i.3 {
list $where [db eval "SELECT id FROM rx $where ORDER BY id"]
} [list $where [db eval "SELECT id FROM bx $where ORDER BY id"]]
# Do an overlaps query with surplus contraints at the beginning.
# This should force a full-table scan on the rtree.
#
set where {}
for {set j 0} {$j<$nDim} {incr j} {
lappend where mn$j>=-10000 mx$j<=10000
}
for {set j 0} {$j<$nDim} {incr j} {
set mn [rand 10000]
set mx [expr {$mn+[randincr 500]}]
lappend where mx$j>$mn mn$j<$mx
}
set where "WHERE [join $where { AND }]"
do_test rtree4-$nDim.2.$i.4 {
list $where [db eval "SELECT id FROM rx $where ORDER BY id"]
} [list $where [db eval "SELECT id FROM bx $where ORDER BY id"]]
# Do a contained-in query with surplus contraints at the end
#
set where {}
for {set j 0} {$j<$nDim} {incr j} {
set mn [rand 10000]
set mx [expr {$mn+[randincr 500]}]
lappend where mn$j>=$mn mx$j<$mx
}
for {set j [expr {$nDim-1}]} {$j>=0} {incr j -1} {
lappend where mn$j>=-10000 mx$j<10000
}
set where "WHERE [join $where { AND }]"
do_test rtree4-$nDim.2.$i.5 {
list $where [db eval "SELECT id FROM rx $where ORDER BY id"]
} [list $where [db eval "SELECT id FROM bx $where ORDER BY id"]]
# Do an overlaps query with surplus contraints at the end
#
set where {}
for {set j [expr {$nDim-1}]} {$j>=0} {incr j -1} {
set mn [rand 10000]
set mx [expr {$mn+[randincr 500]}]
lappend where mx$j>$mn mn$j<=$mx
}
for {set j 0} {$j<$nDim} {incr j} {
lappend where mx$j>-10000 mn$j<=10000
}
set where "WHERE [join $where { AND }]"
do_test rtree4-$nDim.2.$i.6 {
list $where [db eval "SELECT id FROM rx $where ORDER BY id"]
} [list $where [db eval "SELECT id FROM bx $where ORDER BY id"]]
# Do a contained-in query with surplus contraints where the
# constraints appear in a random order.
#
set where {}
for {set j 0} {$j<$nDim} {incr j} {
set mn1 [rand 10000]
set mn2 [expr {$mn1+[randincr 100]}]
set mx1 [expr {$mn2+[randincr 400]}]
set mx2 [expr {$mx1+[randincr 100]}]
lappend where mn$j>=$mn1 mn$j>$mn2 mx$j<$mx1 mx$j<=$mx2
}
set where "WHERE [join [scramble $where] { AND }]"
do_test rtree4-$nDim.2.$i.7 {
list $where [db eval "SELECT id FROM rx $where ORDER BY id"]
} [list $where [db eval "SELECT id FROM bx $where ORDER BY id"]]
# Do an overlaps query with surplus contraints where the
# constraints appear in a random order.
#
set where {}
for {set j 0} {$j<$nDim} {incr j} {
set mn1 [rand 10000]
set mn2 [expr {$mn1+[randincr 100]}]
set mx1 [expr {$mn2+[randincr 400]}]
set mx2 [expr {$mx1+[randincr 100]}]
lappend where mx$j>=$mn1 mx$j>$mn2 mn$j<$mx1 mn$j<=$mx2
}
set where "WHERE [join [scramble $where] { AND }]"
do_test rtree4-$nDim.2.$i.8 {
list $where [db eval "SELECT id FROM rx $where ORDER BY id"]
} [list $where [db eval "SELECT id FROM bx $where ORDER BY id"]]
}
do_rtree_integrity_test rtree4-$nDim.3 rx
}
expand_all_sql db
finish_test