django-zombodb 0.1.3

Easy Django integration with Elasticsearch through ZomboDB Postgres Extension

Easy Django integration with Elasticsearch through ZomboDB Postgres Extension. Thanks to ZomboDB, your Django models are synced with Elasticsearch after every transaction! Searching is also very simple: you can make Elasticsearch queries by just calling one of the search methods on your querysets. Couldn’t be easier!

Documentation

The full documentation is at https://django-zombodb.readthedocs.io.

Requirements

• Python: 3.4, 3.5, 3.6, 3.7

• Django: 2.0, 2.1

Quickstart

1. Install ZomboDB (instructions here)

2. Install django-zombodb:

pip install django-zombodb

3. Add the SearchQuerySet and the ZomboDBIndex to your model:

from django_zombodb.indexes import ZomboDBIndex
from django_zombodb.querysets import SearchQuerySet

class Restaurant(models.Model):
    name = models.TextField()

    objects = models.Manager.from_queryset(SearchQuerySet)()

    class Meta:
        indexes = [
            ZomboDBIndex(fields=[
                'name',
            ]),
        ]

4. Make the migrations:

python manage.py makemigrations

5. Add django_zombodb.operations.ZomboDBExtension() as the first operation of the migration you’ve just created:

import django_zombodb.operations

class Migration(migrations.Migration):

    dependencies = [
        ('restaurants', '0001_initial'),
    ]

    operations = [
        django_zombodb.operations.ZomboDBExtension(),  # <<< here
    ]

6. Run the migrations (Postgres user must be SUPERUSER to create the ZomboDB extension):

python manage.py migrate

7. Done! Now you can make Elasticsearch queries directly from your model:

Restaurant.objects.filter(is_open=True).query_string_search("brazil* AND coffee~")

Full Example

Check https://github.com/vintasoftware/django-zombodb/tree/master/example

Running Tests

You need to have Elasticsearch and Postgres instances running on default ports. Then just do:

python runtests.py

Change Log

0.1.0 (2019-02-01)

• First release on PyPI.