fast search Archives - The Python Django

In previous part, we installed Elasticsearch and Kibana. Now we will create a Django project and will link the elastic search with the project.

Django Project:

You can follow the official Django tutorials to create and start a Django project. Or you follow below steps. We will be following the official documentation, but only the necessary steps.

– Make sure python 3 is installed on your machine. Although not mandatory but it is recommended to use virtual environment.

– Install Django. Setup a database. We will be using MySQL.

– Create a project.
$ django-admin startproject elasticsearchdjango

– Change directory to elasticsearch. Create a new app ‘poll’.
$ python manage.py startapp polls

– If you are using virtual environment than install the dependencies using pip install -r req.txt file after saving below lines in req.txt file.

certifi==2017.11.5
chardet==3.0.4
Django==1.10.6
elasticsearch==5.5.1
elasticsearch-dsl==5.3.0
idna==2.5
mysqlclient==1.3.10
python-dateutil==2.6.1
pytz==2017.2
requests==2.18.1
six==1.10.0
urllib3==1.21.1

certifi==2017.11.5

chardet==3.0.4

Django==1.10.6

elasticsearch==5.5.1

elasticsearch-dsl==5.3.0

idna==2.5

mysqlclient==1.3.10

python-dateutil==2.6.1

pytz==2017.2

requests==2.18.1

six==1.10.0

urllib3==1.21.1

– Create a model in polls/models.py file.

from django.db import models


class Question(models.Model):
    author = models.CharField(max_length=100)
    question_text = models.CharField(max_length=1000)
    pub_date = models.DateTimeField('date published')

from django.db import models

class Question(models.Model):

author = models.CharField(max_length=100)

question_text = models.CharField(max_length=1000)

pub_date = models.DateTimeField('date published')

Continue reading “Elastic Search with Kibana and Django – part 2”