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LRU: test-lru.rb improved in different ways.

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1. Scan keys with pause to account for actual LRU precision.
2. Test cross-DB with 100 keys allocated in DB1.
3. Output results that don't fluctuate depending on number of keys.
4. Output results in percentage to make more sense.
5. Save file instead of outputting to STDOUT.
6. Support running multiple times with average of outputs.
7. Label each square (DIV) with its ID as HTML title.
This commit is contained in:
antirez 2016-07-11 16:22:09 +02:00
parent eee878cbc5
commit 32a549432b
2 changed files with 182 additions and 100 deletions
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10
utils/lru/README
View File

@ -3,11 +3,17 @@ Redis approximated LRU algorithm against the theoretical output of true
LRU algorithm.
In order to use the program you need to recompile Redis setting the define
REDIS_LRU_CLOCK_RESOLUTION to 1, by editing redis.h.
REDIS_LRU_CLOCK_RESOLUTION to 1, by editing the file server.h.
This allows to execute the program in a fast way since the 1 ms resolution
is enough for all the objects to have a different enough time stamp during
the test.
The program is executed like this:
ruby test-lru.rb > /tmp/lru.html
ruby test-lru.rb /tmp/lru.html
You can optionally specify a number of times to run, so that the program
will output averages of different runs, by adding an additional argument.
For instance in order to run the test 10 times use:
ruby test-lru.rb /tmp/lru.html 10

122
utils/lru/test-lru.rb
View File

@ -1,14 +1,18 @@
require 'rubygems'
require 'redis'
$runs = []; # Remember the error rate of each run for average purposes.
def testit(filename)
r = Redis.new
r.config("SET","maxmemory","2000000")
r.config("SET","maxmemory-policy","allkeys-lru")
r.config("SET","maxmemory-samples",5)
r.config("SET","maxmemory-samples",10)
r.config("RESETSTAT")
r.flushall
puts <<EOF
html = ""
html << <<EOF
<html>
<body>
<style>
@ -27,6 +31,10 @@ puts <<EOF
border: 1px green solid;
}
.otherdb {
border: 1px red solid;
}
.ex {
background-color: #666;
}
@ -34,42 +42,58 @@ puts <<EOF
<pre>
EOF
# Fill
# Fill the DB up to the first eviction.
oldsize = r.dbsize
id = 0
while true
id += 1
r.set(id,"foo")
newsize = r.dbsize
break if newsize == oldsize
break if newsize == oldsize # A key was evicted? Stop.
oldsize = newsize
end
inserted = r.dbsize
first_set_max_id = id
puts "#{r.dbsize} keys inserted"
html << "#{r.dbsize} keys inserted"
# Access keys sequentially
# Access keys sequentially, so that in theory the first part will be expired
# and the latter part will not, according to perfect LRU.
puts "Access keys sequentially"
STDERR.puts "Access keys sequentially"
(1..first_set_max_id).each{|id|
r.get(id)
# sleep 0.001
sleep 0.001
STDERR.print(".") if (id % 150) == 0
}
STDERR.puts
# Insert more 50% keys. We expect that the new keys
# Insert more 50% keys. We expect that the new keys will rarely be expired
# since their last access time is recent compared to the others.
#
# Note that we insert the first 100 keys of the new set into DB1 instead
# of DB0, so that we can try how cross-DB eviction works.
half = inserted/2
puts "Insert enough keys to evict half the keys we inserted"
html << "Insert enough keys to evict half the keys we inserted"
add = 0
otherdb_start_idx = id+1
otherdb_end_idx = id+100
while true
add += 1
id += 1
if id >= otherdb_start_idx && id <= otherdb_end_idx
r.select(1)
r.set(id,"foo")
r.select(0)
else
r.set(id,"foo")
end
break if r.info['evicted_keys'].to_i >= half
end
puts "#{add} additional keys added."
puts "#{r.dbsize} keys in DB"
html << "#{add} additional keys added."
html << "#{r.dbsize} keys in DB"
# Check if evicted keys respect LRU
# We consider errors from 1 to N progressively more serious as they violate
@ -77,36 +101,88 @@ puts "#{r.dbsize} keys in DB"
errors = 0
e = 1
edecr = 1.0/(first_set_max_id/2)
error_per_key = 100000.0/first_set_max_id
half_set_size = first_set_max_id/2
maxerr = 0
(1..(first_set_max_id/2)).each{|id|
e -= edecr if e > 0
e = 0 if e < 0
if r.exists(id)
errors += e
if id >= otherdb_start_idx && id <= otherdb_end_idx
r.select(1)
exists = r.exists(id)
r.select(0)
else
exists = r.exists(id)
end
if id < first_set_max_id/2
thiserr = error_per_key * ((half_set_size-id).to_f/half_set_size)
maxerr += thiserr
errors += thiserr if exists
elsif id >= first_set_max_id/2
thiserr = error_per_key * ((id-half_set_size).to_f/half_set_size)
maxerr += thiserr
errors += thiserr if !exists
end
}
errors = errors*100/maxerr
puts "#{errors} errors!"
puts "</pre>"
STDERR.puts "Test finished with #{errors}% error! Generating HTML on stdout."
html << "#{errors}% error!"
html << "</pre>"
$runs << errors
# Generate the graphical representation
(1..id).each{|id|
# Mark first set and added items in a different way.
c = "box"
if id <= first_set_max_id
if id >= otherdb_start_idx && id <= otherdb_end_idx
c << " otherdb"
elsif id <= first_set_max_id
c << " old"
else
c << " new"
end
# Add class if exists
c << " ex" if r.exists(id)
puts "<div class=\"#{c}\"></div>"
if id >= otherdb_start_idx && id <= otherdb_end_idx
r.select(1)
exists = r.exists(id)
r.select(0)
else
exists = r.exists(id)
end
c << " ex" if exists
html << "<div title=\"#{id}\" class=\"#{c}\"></div>"
}
# Close HTML page
puts <<EOF
html << <<EOF
</body>
</html>
EOF
f = File.open(filename,"w")
f.write(html)
f.close
end
def print_avg
avg = ($runs.reduce {|a,b| a+b}) / $runs.length
puts "#{$runs.length} runs, AVG is #{avg}"
end
if ARGV.length < 1
STDERR.puts "Usage: ruby test-lru.rb <html-output-filename> [num-runs]"
exit 1
end
filename = ARGV[0]
numruns = 1
numruns = ARGV[1].to_i if ARGV.length == 2
numruns.times {
testit(filename)
print_avg if numruns != 1
}