When Docker is too slow, use your host

11 January 2018   0 comments   Web development, Django, MacOSX, Docker

I have a side-project that is basically a React frontend, a Django API server and a Node universal React renderer. The killer feature is its Elasticsearch database that searches almost 2.5M large texts and 200K named objects. All the data is stored in a PostgreSQL and there's some Python code that copies that stuff over to Elasticsearch for indexing.

Timings for searches in Songsearch
The PostgreSQL database is about 10GB and the Elasticsearch (version 6.1.0) indices are about 6GB. It's moderately big and even though individual searches take, on average ~75ms (in production) it's hefty. At least for a side-project.

On my MacBook Pro, laptop I use Docker to do development. Docker makes it really easy to run one command that starts memcached, Django, a AWS Product API Node app, create-react-app for the search and a separate create-react-app for the stats web app.

At first I tried to also run PostgreSQL and Elasticsearch in Docker too, but after many attempts I had to just give up. It was too slow. Elasticsearch would keep crashing even though I extended my memory in Docker to 4GB.

This very blog (www.peterbe.com) has a similar stack. Redis, PostgreSQL, Elasticsearch all running in Docker. It works great. One single docker-compose up web starts everything I need. But when it comes to much larger databases, I found my macOS host to be much more performant.

So the dark side of this is that I have remember to do more things when starting work on this project. My PostgreSQL was installed with Homebrew and is always running on my laptop. For Elasticsearch I have to open a dedicated terminal and go to a specific location to start the Elasticsearch for this project (e.g. make start-elasticsearch).

The way I do this is that I have this in my Django projects settings.py:

import dj_database_url
from decouple import config

    'default': config(
        # Hostname 'docker.for.mac.host.internal' assumes
        # you have at least Docker 17.12.
        # For older versions of Docker use 'docker.for.mac.localhost'

ES_HOSTS = config('ES_HOSTS', default='docker.for.mac.host.internal:9200', cast=Csv())

(Actually, in reality the defaults in the settings.py code is localhost and I use docker-compose.yml environment variables to override this, but the point is hopefully still there.)

And that's basically it. Now I get Docker to do what various virtualenvs and terminal scripts used to do but the performance of running the big databases on the host.


Your email will never ever be published

Related posts

Understanding Redis hash-max-ziplist-entries 08 January 2018
Conditional aggregation in Django 2.0 12 January 2018
Related by Keyword:
How to NOT start two servers on the same port 11 June 2018
Best EXPLAIN ANALYZE benchmark script 19 April 2018
Docker gotcha with building a Dockerfile in sub directory 02 March 2018
Synonyms with elasticsearch-dsl 05 December 2017
How to create-react-app with Docker 17 November 2017
Related by Text:
jQuery and Highslide JS 08 January 2008
I'm back! Peterbe.com has been renewed 05 June 2005
Anti-McCain propaganda videos 12 August 2008
I'm Prolog 01 May 2007
Ever wondered how much $87 Billion is? 04 November 2003