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340 lines
8.4 KiB
Plaintext
340 lines
8.4 KiB
Plaintext
# 2006 November 23
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#
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# The author disclaims copyright to this source code. In place of
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# a legal notice, here is a blessing:
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#
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# May you do good and not evil.
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# May you find forgiveness for yourself and forgive others.
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# May you share freely, never taking more than you give.
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#
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#*************************************************************************
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# This file implements regression tests for SQLite library. The
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# focus of this script is measuring executing speed.
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#
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# $Id: speed2.test,v 1.7 2007/04/16 15:02:20 drh Exp $
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#
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set testdir [file dirname $argv0]
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source $testdir/tester.tcl
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speed_trial_init speed2
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# Set a uniform random seed
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expr srand(0)
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set sqlout [open speed2.txt w]
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proc tracesql {sql} {
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puts $::sqlout $sql\;
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}
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#db trace tracesql
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# The number_name procedure below converts its argment (an integer)
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# into a string which is the English-language name for that number.
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#
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# Example:
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#
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# puts [number_name 123] -> "one hundred twenty three"
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#
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set ones {zero one two three four five six seven eight nine
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ten eleven twelve thirteen fourteen fifteen sixteen seventeen
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eighteen nineteen}
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set tens {{} ten twenty thirty forty fifty sixty seventy eighty ninety}
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proc number_name {n} {
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if {$n>=1000} {
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set txt "[number_name [expr {$n/1000}]] thousand"
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set n [expr {$n%1000}]
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} else {
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set txt {}
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}
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if {$n>=100} {
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append txt " [lindex $::ones [expr {$n/100}]] hundred"
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set n [expr {$n%100}]
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}
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if {$n>=20} {
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append txt " [lindex $::tens [expr {$n/10}]]"
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set n [expr {$n%10}]
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}
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if {$n>0} {
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append txt " [lindex $::ones $n]"
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}
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set txt [string trim $txt]
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if {$txt==""} {set txt zero}
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return $txt
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}
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# Create a database schema.
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#
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do_test speed2-1.0 {
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execsql {
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PRAGMA page_size=1024;
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PRAGMA cache_size=8192;
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PRAGMA locking_mode=EXCLUSIVE;
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CREATE TABLE t1(a INTEGER, b INTEGER, c TEXT);
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CREATE TABLE t2(a INTEGER, b INTEGER, c TEXT);
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CREATE INDEX i2a ON t2(a);
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CREATE INDEX i2b ON t2(b);
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}
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execsql {
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SELECT name FROM sqlite_master ORDER BY 1;
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}
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} {i2a i2b t1 t2}
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# 50000 INSERTs on an unindexed table
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#
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set sql {}
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for {set i 1} {$i<=50000} {incr i} {
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set r [expr {int(rand()*500000)}]
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append sql "INSERT INTO t1 VALUES($i,$r,'[number_name $r]');\n"
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}
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db eval BEGIN
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speed_trial speed2-insert1 50000 row $sql
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db eval COMMIT
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# 50000 INSERTs on an indexed table
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#
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set sql {}
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for {set i 1} {$i<=50000} {incr i} {
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set r [expr {int(rand()*500000)}]
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append sql "INSERT INTO t2 VALUES($i,$r,'[number_name $r]');\n"
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}
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db eval BEGIN
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speed_trial speed2-insert2 50000 row $sql
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db eval COMMIT
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# 50 SELECTs on an integer comparison. There is no index so
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# a full table scan is required.
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#
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set sql {}
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for {set i 0} {$i<50} {incr i} {
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set lwr [expr {$i*100}]
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set upr [expr {($i+10)*100}]
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append sql "SELECT count(*), avg(b) FROM t1 WHERE b>=$lwr AND b<$upr;"
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}
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speed_trial speed2-select1a [expr {50*50000}] row $sql
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# 50 SELECTs on an LIKE comparison. There is no index so a full
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# table scan is required.
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#
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set sql {}
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for {set i 0} {$i<50} {incr i} {
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append sql \
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"SELECT count(*), avg(b) FROM t1 WHERE c LIKE '%[number_name $i]%';"
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}
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speed_trial speed2-select2a [expr {50*50000}] row $sql
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# Vacuum
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speed_trial speed2-vacuum1 100000 row VACUUM
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# 50 SELECTs on an integer comparison. There is no index so
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# a full table scan is required.
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#
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set sql {}
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for {set i 0} {$i<50} {incr i} {
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set lwr [expr {$i*100}]
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set upr [expr {($i+10)*100}]
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append sql "SELECT count(*), avg(b) FROM t1 WHERE b>=$lwr AND b<$upr;"
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}
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speed_trial speed2-select1b [expr {50*50000}] row $sql
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# 50 SELECTs on an LIKE comparison. There is no index so a full
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# table scan is required.
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#
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set sql {}
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for {set i 0} {$i<50} {incr i} {
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append sql \
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"SELECT count(*), avg(b) FROM t1 WHERE c LIKE '%[number_name $i]%';"
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}
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speed_trial speed2-select2b [expr {50*50000}] row $sql
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# Create indices
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#
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db eval BEGIN
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speed_trial speed2-createidx 150000 row {
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CREATE INDEX i1a ON t1(a);
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CREATE INDEX i1b ON t1(b);
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CREATE INDEX i1c ON t1(c);
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}
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db eval COMMIT
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# 5000 SELECTs on an integer comparison where the integer is
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# indexed.
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#
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set sql {}
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for {set i 0} {$i<5000} {incr i} {
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set lwr [expr {$i*100}]
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set upr [expr {($i+10)*100}]
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append sql "SELECT count(*), avg(b) FROM t1 WHERE b>=$lwr AND b<$upr;"
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}
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speed_trial speed2-select3a 5000 stmt $sql
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# 100000 random SELECTs against rowid.
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#
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set sql {}
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for {set i 1} {$i<=100000} {incr i} {
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set id [expr {int(rand()*50000)+1}]
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append sql "SELECT c=='hi' FROM t1 WHERE rowid=$id;\n"
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}
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speed_trial speed2-select4a 100000 row $sql
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# 100000 random SELECTs against a unique indexed column.
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#
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set sql {}
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for {set i 1} {$i<=100000} {incr i} {
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set id [expr {int(rand()*50000)+1}]
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append sql "SELECT c FROM t1 WHERE a=$id;"
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}
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speed_trial speed2-select5a 100000 row $sql
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# 50000 random SELECTs against an indexed column text column
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#
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set sql {}
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db eval {SELECT c FROM t1 ORDER BY random() LIMIT 50000} {
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append sql "SELECT c FROM t1 WHERE c='$c';"
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}
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speed_trial speed2-select6a 50000 row $sql
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# Vacuum
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speed_trial speed2-vacuum2 100000 row VACUUM
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# 5000 SELECTs on an integer comparison where the integer is
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# indexed.
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#
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set sql {}
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for {set i 0} {$i<5000} {incr i} {
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set lwr [expr {$i*100}]
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set upr [expr {($i+10)*100}]
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append sql "SELECT count(*), avg(b) FROM t1 WHERE b>=$lwr AND b<$upr;"
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}
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speed_trial speed2-select3b 5000 stmt $sql
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# 100000 random SELECTs against rowid.
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#
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set sql {}
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for {set i 1} {$i<=100000} {incr i} {
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set id [expr {int(rand()*50000)+1}]
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append sql "SELECT c=='hi' FROM t1 WHERE rowid=$id;\n"
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}
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speed_trial speed2-select4b 100000 row $sql
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# 100000 random SELECTs against a unique indexed column.
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#
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set sql {}
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for {set i 1} {$i<=100000} {incr i} {
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set id [expr {int(rand()*50000)+1}]
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append sql "SELECT c FROM t1 WHERE a=$id;"
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}
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speed_trial speed2-select5b 100000 row $sql
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# 50000 random SELECTs against an indexed column text column
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#
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set sql {}
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db eval {SELECT c FROM t1 ORDER BY random() LIMIT 50000} {
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append sql "SELECT c FROM t1 WHERE c='$c';"
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}
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speed_trial speed2-select6b 50000 row $sql
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# 5000 updates of ranges where the field being compared is indexed.
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#
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set sql {}
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for {set i 0} {$i<5000} {incr i} {
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set lwr [expr {$i*2}]
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set upr [expr {($i+1)*2}]
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append sql "UPDATE t1 SET b=b*2 WHERE a>=$lwr AND a<$upr;"
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}
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db eval BEGIN
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speed_trial speed2-update1 5000 stmt $sql
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db eval COMMIT
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# 50000 single-row updates. An index is used to find the row quickly.
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#
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set sql {}
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for {set i 0} {$i<50000} {incr i} {
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set r [expr {int(rand()*500000)}]
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append sql "UPDATE t1 SET b=$r WHERE a=$i;"
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}
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db eval BEGIN
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speed_trial speed2-update2 50000 row $sql
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db eval COMMIT
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# 1 big text update that touches every row in the table.
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#
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speed_trial speed2-update3 50000 row {
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UPDATE t1 SET c=a;
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}
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# Many individual text updates. Each row in the table is
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# touched through an index.
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#
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set sql {}
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for {set i 1} {$i<=50000} {incr i} {
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set r [expr {int(rand()*500000)}]
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append sql "UPDATE t1 SET c='[number_name $r]' WHERE a=$i;"
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}
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db eval BEGIN
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speed_trial speed2-update4 50000 row $sql
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db eval COMMIT
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# Delete all content in a table.
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#
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speed_trial speed2-delete1 50000 row {DELETE FROM t1}
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# Copy one table into another
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#
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speed_trial speed2-copy1 50000 row {INSERT INTO t1 SELECT * FROM t2}
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# Delete all content in a table, one row at a time.
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#
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speed_trial speed2-delete2 50000 row {DELETE FROM t1 WHERE 1}
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# Refill the table yet again
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#
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speed_trial speed2-copy2 50000 row {INSERT INTO t1 SELECT * FROM t2}
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# Drop the table and recreate it without its indices.
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#
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db eval BEGIN
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speed_trial speed2-drop1 50000 row {
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DROP TABLE t1;
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CREATE TABLE t1(a INTEGER, b INTEGER, c TEXT);
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}
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db eval COMMIT
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# Refill the table yet again. This copy should be faster because
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# there are no indices to deal with.
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#
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speed_trial speed2-copy3 50000 row {INSERT INTO t1 SELECT * FROM t2}
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# Select 20000 rows from the table at random.
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#
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speed_trial speed2-random1 50000 row {
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SELECT rowid FROM t1 ORDER BY random() LIMIT 20000
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}
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# Delete 20000 random rows from the table.
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#
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speed_trial speed2-random-del1 20000 row {
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DELETE FROM t1 WHERE rowid IN
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(SELECT rowid FROM t1 ORDER BY random() LIMIT 20000)
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}
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do_test speed2-1.1 {
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db one {SELECT count(*) FROM t1}
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} 30000
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# Delete 20000 more rows at random from the table.
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#
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speed_trial speed2-random-del2 20000 row {
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DELETE FROM t1 WHERE rowid IN
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(SELECT rowid FROM t1 ORDER BY random() LIMIT 20000)
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}
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do_test speed2-1.2 {
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db one {SELECT count(*) FROM t1}
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} 10000
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speed_trial_summary speed2
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finish_test
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