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Improvements to the XFER Optimization of the INSERT statement. (CVS 3736)

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FossilOrigin-Name: 53fff7d1f2f829010a2641c7738538b3155da4b2
This commit is contained in:
drh
2007-03-28 18:04:10 +00:00
parent 72e8fa42f9
commit 95bad4c751
4 changed files with 93 additions and 27 deletions
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test/speed2.test
+70 -8
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@@ -11,7 +11,7 @@
# This file implements regression tests for SQLite library. The
# focus of this script is measuring executing speed.
#
# $Id: speed2.test,v 1.3 2007/03/27 12:04:06 drh Exp $
# $Id: speed2.test,v 1.4 2007/03/28 18:04:10 drh Exp $
#
set testdir [file dirname $argv0]
@@ -111,7 +111,7 @@ for {set i 0} {$i<50} {incr i} {
set upr [expr {($i+10)*100}]
append sql "SELECT count(*), avg(b) FROM t1 WHERE b>=$lwr AND b<$upr;"
}
speed_trial speed2-select1 [expr {50*50000}] row $sql
speed_trial speed2-select1a [expr {50*50000}] row $sql
# 50 SELECTs on an LIKE comparison. There is no index so a full
# table scan is required.
@@ -121,7 +121,31 @@ for {set i 0} {$i<50} {incr i} {
append sql \
"SELECT count(*), avg(b) FROM t1 WHERE c LIKE '%[number_name $i]%';"
}
speed_trial speed2-select2 [expr {50*50000}] row $sql
speed_trial speed2-select2a [expr {50*50000}] row $sql
# Vacuum
speed_trial speed2-vacuum1 100000 row VACUUM
# 50 SELECTs on an integer comparison. There is no index so
# a full table scan is required.
#
set sql {}
for {set i 0} {$i<50} {incr i} {
set lwr [expr {$i*100}]
set upr [expr {($i+10)*100}]
append sql "SELECT count(*), avg(b) FROM t1 WHERE b>=$lwr AND b<$upr;"
}
speed_trial speed2-select1b [expr {50*50000}] row $sql
# 50 SELECTs on an LIKE comparison. There is no index so a full
# table scan is required.
#
set sql {}
for {set i 0} {$i<50} {incr i} {
append sql \
"SELECT count(*), avg(b) FROM t1 WHERE c LIKE '%[number_name $i]%';"
}
speed_trial speed2-select2b [expr {50*50000}] row $sql
# Create indices
#
@@ -142,7 +166,7 @@ for {set i 0} {$i<5000} {incr i} {
set upr [expr {($i+10)*100}]
append sql "SELECT count(*), avg(b) FROM t1 WHERE b>=$lwr AND b<$upr;"
}
speed_trial speed2-select3 5000 stmt $sql
speed_trial speed2-select3a 5000 stmt $sql
# 100000 random SELECTs against rowid.
#
@@ -151,7 +175,7 @@ for {set i 1} {$i<=100000} {incr i} {
set id [expr {int(rand()*50000)+1}]
append sql "SELECT c=='hi' FROM t1 WHERE rowid=$id;\n"
}
speed_trial speed2-select4 100000 row $sql
speed_trial speed2-select4a 100000 row $sql
# 100000 random SELECTs against a unique indexed column.
#
@@ -160,7 +184,7 @@ for {set i 1} {$i<=100000} {incr i} {
set id [expr {int(rand()*50000)+1}]
append sql "SELECT c FROM t1 WHERE a=$id;"
}
speed_trial speed2-select5 100000 row $sql
speed_trial speed2-select5a 100000 row $sql
# 50000 random SELECTs against an indexed column text column
#
@@ -168,10 +192,48 @@ set sql {}
db eval {SELECT c FROM t1 ORDER BY random() LIMIT 50000} {
append sql "SELECT c FROM t1 WHERE c='$c';"
}
speed_trial speed2-select6 50000 row $sql
speed_trial speed2-select6a 50000 row $sql
# Vacuum
speed_trial speed2-vacuum 100000 row VACUUM
speed_trial speed2-vacuum2 100000 row VACUUM
# 5000 SELECTs on an integer comparison where the integer is
# indexed.
#
set sql {}
for {set i 0} {$i<5000} {incr i} {
set lwr [expr {$i*100}]
set upr [expr {($i+10)*100}]
append sql "SELECT count(*), avg(b) FROM t1 WHERE b>=$lwr AND b<$upr;"
}
speed_trial speed2-select3b 5000 stmt $sql
# 100000 random SELECTs against rowid.
#
set sql {}
for {set i 1} {$i<=100000} {incr i} {
set id [expr {int(rand()*50000)+1}]
append sql "SELECT c=='hi' FROM t1 WHERE rowid=$id;\n"
}
speed_trial speed2-select4b 100000 row $sql
# 100000 random SELECTs against a unique indexed column.
#
set sql {}
for {set i 1} {$i<=100000} {incr i} {
set id [expr {int(rand()*50000)+1}]
append sql "SELECT c FROM t1 WHERE a=$id;"
}
speed_trial speed2-select5b 100000 row $sql
# 50000 random SELECTs against an indexed column text column
#
set sql {}
db eval {SELECT c FROM t1 ORDER BY random() LIMIT 50000} {
append sql "SELECT c FROM t1 WHERE c='$c';"
}
speed_trial speed2-select6b 50000 row $sql
# 5000 updates of ranges where the field being compared is indexed.
#