Our application uses redis a lot to perform large numbers of data reads/writes. But we didn't use it well enough, e.g. we call redis get and set in loop, just like touching mysql and memcache many times, it takes a long time to send multiple redis commands, if we can reduce the commands, it saves on round trip time.
The following script is used to bencharmark different commands count.
require 'redis'
require 'benchmark'
redis = Redis.new
Benchmark.bm(50) do |bm|
bm.report "redis set" do
10000.times do |i|
redis.set("key#{i}", "value#{i}")
end
end
bm.report "redis get" do
10000.times do |i|
redis.get("key#{i}")
end
end
bm.report "redis mset with 1000" do
1000.times do |i|
keys = (10*i...10*i+10).map { |j| ["yek#{j}", "value#{j}"] }.flatten
redis.mset(*keys)
end
end
bm.report "redis mget with 1000" do
1000.times do |i|
keys = (10*i...10*i+10).map { |j| "yek#{j}" }
redis.mget(*keys)
end
end
bm.report "redis mset with 100" do
100.times do |i|
keys = (100*i...100*i+100).map { |j| ["eky#{j}", "value#{j}"] }.flatten
redis.mset(*keys)
end
end
bm.report "redis mget with 100" do
100.times do |i|
keys = (100*i...100*i+100).map { |j| "eky#{j}" }
redis.mget(*keys)
end
end
bm.report "redis mset with 10" do
10.times do |i|
keys = (1000*i...1000*i+1000).map { |j| ["eyk#{j}", "value#{j}"] }.flatten
redis.mset(*keys)
end
end
bm.report "redis mget with 10" do
10.times do |i|
keys = (1000*i...1000*i+1000).map { |j| "eyk#{j}" }
redis.mget(*keys)
end
end
bm.report "redis mset with 1" do
keys = (0...10000).map { |j| ["kye#{j}", "value#{j}"] }.flatten
redis.mset(*keys)
end
bm.report "redis mget with 1" do
keys = (0...10000).map { |j| "kye#{j}" }
redis.mget(*keys)
end
end
This is the benchmark result.
# user system total real
# redis set 0.280000 0.170000 0.450000 ( 0.809112)
# redis get 0.290000 0.160000 0.450000 ( 0.806711)
# redis mset with 1000 0.070000 0.020000 0.090000 ( 0.148474)
# redis mget with 1000 0.080000 0.020000 0.100000 ( 0.142837)
# redis mset with 100 0.050000 0.000000 0.050000 ( 0.067859)
# redis mget with 100 0.050000 0.010000 0.060000 ( 0.063040)
# redis mset with 10 0.040000 0.000000 0.040000 ( 0.060200)
# redis mget with 10 0.050000 0.000000 0.050000 ( 0.057818)
# redis mset with 1 0.040000 0.000000 0.040000 ( 0.062318)
# redis mget with 1 0.050000 0.000000 0.050000 ( 0.057483)
It's obvious that less redis commands means fast running time.
