Haystack + ElasticSearch Gilang Chandrasa

Django Python PHP ElasticSearch HTML5 Memcache MongoDB Celery NginX Android Git MySQL PostgreSQL Gilang Chandrasa CSS3

Haystack Why What How

A modular search for Django

lets you write your search code once and choose the search engine you want it to run on

lets you write your search code once and choose the search engine you want it to run on Solr, Elasticsearch, Whoosh and Xapian

pip install django-haystack Step 1 Install Haystack

INSTALLED_APPS = [ ... 'haystack', ] HAYSTACK_CONNECTIONS = { 'default': { 'ENGINE': '...', }, } Step 2 Configure settings.py

class NoteIndex(indexes.SearchIndex, indexes.Indexable): text = indexes.CharField(document=True, use_template=True) author = indexes.CharField(model_attr='user') def get_model(self): return Note Step 3 Create search_index.py

{{ object.title }} {{ object.user.get_full_name }} {{ object.body }} Step 4 Create search template

Step 5 Install Search Engine Solr Xapian Whoosh ElasticSearch

Step 6 Indexing python manage.py rebuild_index

Some Advanced Uses Highlighting Autocomplete Boost Rich Content Extraction Spatial Search

ElasticSearch

ElasticSearch distributed real-time search and analytics engine for the cloud

real time data real time analytics distributed high availability multi tenancy full text search document oriented conflict management schema free restful API apache 2 open source license per operation persistence built on top apache lucene

Spatial Search within, dwithin, distance, order_by(‘distance’), polygon

location = Point(float(longitude), float(latitude)) SearchQuerySet()\ .dwithin('location', location,D(km=10))\ .distance('location',location)\ .order_by('distance') Search places within 10km and order by distance

haystacksearch.org elasticsearch.org Further Reading

thank you!

Gilang Chandrasa twitter.com + github.com @gchandrasa