{"id":3669,"date":"2018-07-09T01:52:20","date_gmt":"2018-07-09T01:52:20","guid":{"rendered":"https:\/\/www.botreetechnologies.com\/blog\/?p=3669"},"modified":"2021-01-08T15:13:38","modified_gmt":"2021-01-08T09:43:38","slug":"elasticsearch-with-django-part-4","status":"publish","type":"post","link":"https:\/\/www.botreetechnologies.com\/blog\/elasticsearch-with-django-part-4\/","title":{"rendered":"Elasticsearch with Django – Part 4"},"content":{"rendered":"\n

In previous articles (Here you can read: part-1<\/a>, part-2<\/a> and part-3<\/a>) we have seen that how queries work on Elasticsearch engine via terminal.<\/p>\n\n\n\n

Now let’s discuss about integration with Django application.<\/p>\n\n\n\n

Let’s start with creating a new Django project.<\/p>\n\n\n\n

Setting up a Django Project<\/h2>\n\n\n\n

First you create a virtual environment with virtualenv elastic_env<\/i> and enter it with source elastic_env\/bin\/activate<\/i> in order to keep everything contained. Then you install some packages:<\/p>\n\n\n\n

pip3 install django
\npip3 install elasticsearch-dsl<\/code><\/p><\/blockquote>\n\n\n\n

Now let’s create a new django project, run:<\/p>\n\n\n\n

django-admin startproject django_elastic_project
\ncd django_elastic_project
\npython3 manage.py startapp elasticsearchapp<\/code><\/p><\/blockquote>\n\n\n\n

After creating the new django project, we need to create a model that we will use. I choose to go with car example. In models.py<\/code><\/i> place the following code:<\/p>\n\n\n\n