In this tutorial , we are going together to learn how elasticsearch work . We will first implement a basic app in django with the Python Haystack librairy to demostrate how to use Elasticshearh in production context . And to test performance we will index The wikipedia and shearch throught it database .
This Tutorial is motived ater watching This Video https://www.youtube.com/watch?v=lpZ6ZajygDY where shay Banon, the creator of elasticSearch explain why he create it . So To resume things. ElasticSearch is only for Indexing and Searching Data.
One interesting thing this video try to explain is : The diference between shard and Node. This link help me to anderstand the diferecence.
https://www.elasticsearch.org/guide/en/elasticsearch/reference/current/index-modules-allocation.html
So For Banon. increasing node indenitly does not really Help Performance search but you need to manage performance search with sharding . please This is an important point for tunning elasticsearch. So If I mis-understand something. do not hesite to correcte me /
Look at this following elasticsearch configuration . with the two you get hight avaibility of data . but you don' t gain performance shearch . How ever in the first . sharding between Node are perfect and you get more performance search.
You can install django with postgres and elasticsearch and all plugin we need as wikipedia with /make.sh script . Check The wikipedia Plugin documentation Here https://github.com/elasticsearch/elasticsearch-river-wikipedia.
./make
For the reste you can check The Haystack documentation before reading this python class
haystack_app.search_indexes.py
Same as the django Model . Here you will define your document stucture. Elasticshearh will use it when it create schema of the document . And You reIndex you data with The django manager command . Note That You will need to do this in a ./cron .So The process will be done regulary.
>>python manage.py updateindex -v2
>>Indexing 1 sfd events
>>indexed 1 - 1 of 1 (by 4083).
To test performance search we will index wikipedia dataBase .Look at theses following classes .
haystack_app.search_indexes.py
haystack_app.forms.py
haystack_app.views.py
./manage.py syncdb
./manage.py updateindex -v2
./manage.py runserver
Django version 1.6, using settings 'haystack_tutorial.settings'
Starting development server at https://127.0.0.1:8000/
Quit the server with CONTROL-C.
Go To https://127.0.0.1:8000/