It looks as if elasticsearch supports fuzzy queries (http://www.elasticsearch.org/guide/reference/query-dsl/fuzzy-query/) but I can't figure out a way to have django-haystack pass in that option.
I dug into the django-haystack search and it looks as if it's using the 'match_all' query when using the elasticsearch backend. Is it possible to get the fuzzy match behavior without having to modify the django-haystack source code?
Haystack Source: https://github.com/toastdriven/django-haystack/blob/master/haystack/backends/elasticsearch_backend.py (the build_search_kwargs method is what I suspect I need to change)
No need to fork Haystack, you can update that method in your own backend (for more details, see Stretching Haystack's ElasticSearch Backend). The build_search_kwargs method returns a dictionary so you can just modify the original return value.
Disclaimer: this code is just an example of how you could update your own backend, not how to implement fuzzy search.
class FuzzyBackend(ElasticsearchSearchBackend):
def build_search_kwargs(self, query_string, **kwargs):
fuzzy = kwargs.pop('fuzzy', False)
fuzzy_field = kwargs.pop('min_similarity', '')
search_kwargs = super(FuzzyBackend, self).build_search_kwargs(
query_string, kwargs)
if fuzzy:
search_kwargs = {'fuzzy': {fuzzy_field: query_string}}
return search_kwargs
来源：https://stackoverflow.com/questions/18000714/how-can-i-do-a-fuzzy-search-using-django-haystack-and-the-elasticsearch-backend