This is a package that allows indexing of django models using elasticsearch. It requires django, elasticsearch-py and a local instance of elasticsearch.

Several predefined SearchFields for elasticsearch mappings

Index class allows provides a manager-like interface for model-based indexing.

Management commands (create_index and update_index)

Django signal receivers for updating data

Add elastic_models to INSTALLED_APPS

You must define ELASTICSEARCH_CONNECTIONS in your django settings.

For example:

ELASTICSEARCH_CONNECTIONS = {
    'default': {
        'HOSTS': ['http://localhost:9200',],
        'INDEX_NAME': 'my_index_%s'
    }
}

In order to create a test search index you must add to your settings.py:

TEST_RUNNER = 'elastic_models.tests.SearchRunner'

and base your test case on elastic_models.tests.SearchTestCase.

Models are added to the search index by adding an Index. In the simplest cases, when all indexed fields are attributes, and the default behavior is sufficient, you can just add an instance of Index:

from elastic_models.indexes import Index

class Foo(models.Model):
    name = models.CharField(max_length=255)
    number = models.IntegerField()

    search = elastic_models.indexes.Index(attribute_fields=('name', 'number'))

When you want to override the default behavior, create a subclass of Index. For example, if you wanted to index number as a string rather than an integer:

from elastic_models.indexes import Index
from elastic_models.fields import StringField

class FooIndex(Index):
    number = StringField(attr='number')
    
    class Meta():
        attribute_fields = ['name']

class Foo(models.Model):
    name = models.CharField(max_length=255)
    number = models.IntegerField()

    search = FooIndex()

Once you have added indexes to your models, run manage.py create_index to add the indexes and mappings to elasticsearch and index the current data.

To search your data, access the name that you gave your index when you assigned it to the model. The object you get back behaves like a Search object from elasticsearch_dsl:

Foo.search.query("match", name="bar").execute()

See the elasticsearch_dsl documentation for more information on how to create and execute queries.

To run the test suite for Python 2 and Python 3:

make test

It is assumed you have a virtualenv in your path, and Elasticsearch running on localhost:9200