The server is just a simple express app version: "3. Releem is a simple MySQL tuning tool to improve database performance and reduce. root3ff6a442cbb2: time mysql dockerdb < drupal3. It’s about 15 times slower than the VirtualBox on the same machine since HOME is on ext4 partition. try adding: -v HOME/datadir:/var/lib/mysql weikai (Weikai) August 28, 2017, 4:23am 4 It makes no differences. It sounds like a communication problem between the two containers, but I can't spot it. You can try and mount a local folder, instead of using the container as storage. Where to file issues: Please submit a bug report at under the category MySQL Package Repos and Docker Images. Efficiently seeding MySQL with large amount of data before tests. INSERT SQL query very slow in MariaDB Docker container compared to XAMPP. Performance issues with mysql docker container. 0 Docker MySQL container unable to wait for MySQL server ready. Sometimes import data Mysql in Docker very slow.
2 docker, cannot start docker mysql container built from the official docker image mysql. 0 docker-compose up very slow but docker-compose run on linux very fast. I'm then using jest to run http requests against the server.įor some reasons that I can't explain all SQL queries (even the simplest one) are extremely slow (+ 1s). Quick Reference Detailed documentation: See Deploying MySQL on Linux with Docker in the MySQL Reference Manual. Slow connection to mysql running in docker. This will give you the flexibility to customize the container without needing a cnf file. I'm using docker compose to spin up a postgres database and a nodejs server. The docker mysql writes: Many configuration options can be passed as flags to mysqld. Optimizing up or downstream the bottleneck wont have an. I'm trying to setup some integrations tests with docker compose. The answer lies in the understanding that a VM using virtualized storage results in a sort of disconnection between the virtualized kernel and the typical qcow2 or raw file the volume is written to on the host machine storage. Take into account where your bottleneck is and optimize only at that point.
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