Simple project to test Elasticsearch with Django, build on docker.

• Docker
• Docker-compose

Steps to build, load data from fixtures and run project:

1. cd to root of project
2. docker-compose build
3. docker-compose run --service-ports --rm django python manage.py bootstrap
4. docker-compose up

To test Elasticsearch in shell run these commands:

1. docker-compose up
2. docker-compose exec django python manage.py shell

cars = CarDocument.search().query('match', color='black')
for car in cars:
    print(car.color)

cars = CarDocument.search().extra(size=0)
cars.aggs.bucket('points_count', 'terms', field='points')
result = cars.execute()
for point in result.aggregations.points_count:
    print(point)

• http://localhost:8000/cars/?search=description|is - search and display cars, which contain the word ‘is’ in the description.
• http://localhost:8000/cars/?id__gte=7 - filter and get only the cars which have ‘id’ greater or equal than 7.
• http://localhost:8000/cars/suggest/?name_suggest__completion=cor - get suggestions for the word ‘cor’.

Check out article to this project: https://sunscrapers.com/blog/how-to-use-elasticsearch-with-django/

• max virtual memory areas vm.max_map_count [65530] is too low, increase to at least [262144] elastic/elasticsearch#21523