The search problem
Recently a friend and I made a comic App. I crawled about 70,000 comics and saved them into MySQL. Search for comic name started to slow down. It takes about 2000ms.
SELECT `comics`.* FROM `comics` WHERE `comics`.`name` LIKE '%text%' LIMIT 21 OFFSET 0
I had added an index for name field. But an index won’t help text matching with a leading wildcard, an index can be used for:
LIKE 'text%' is much faster. But comic name such as “sometext” won’t match.
It does not fit my need.
I found out, that the same query was much faster on my MacBook, which only took about 200ms. Here was the difference:
EVN | CPU | Memory | OS | MySQL Version --- | --- | --- | --- | --- MacBook | 2.7 GHz Intel Core i5 | 8G | MacOS Sierra | 5.7.17 Production | 2.6 GHZ 1 Core | 2G | CentOS 6.5 | 5.1.73
After some tests, I found out MySQL Version was the key point. Why 5.7 is so much faster than 5.1? I don’t know.
Try to upgrade MySQL
So I needed to upgrade MySQL from 5.1 to 5.7. I had 3 choices:
- Using mysql_upgrade
- Installing MySQL5.7 manually on the same machine
- Installing MySQL5.7 in docker
Installing MySQL.7 in docker seemed much safer and simpler for me. And docker is an useful tool to help deploying. I tried to install the latest stable docker but failed, as the latest Docker CE is only supported on CentOS 7.3 64-bit. I installed the docker 1.7 which is supported on CentOS 6.5.
Run MySQL in docker and publish to host port 6603:
sudo docker run --detach --name=comic-mysql --env="MYSQL_ROOT_PASSWORD=mypassword" --publish 6603:3306 mysql
Connect MySQL in docker with host MySQL client:
mysql -uroot -p -h 127.0.0.1 -P 6603
CREATE DATABASE comic_production CHARACTER SET utf8 COLLATE utf8_general_ci;
Import sql.gz file:
zcat ~/backup/comic_production.20170606112459.sql.gz | sudo docker exec -i comic-mysql mysql -uroot -pmypassword comic_production
Configure my rails database.yml:
default: &default adapter: mysql2 pool: 5 username: root password: mypassword host: 127.0.0.1 port: 6603
It worked! I restarted the rails server, the database changed. The users got much faster response for searching.