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.
看起来好像有弹性搜索支持模糊查询（http://www.elasticsearch.org/guide/reference/query-dsl/fuzzy-query/），但我无法找到让django-haystack通过该选项的方法。
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?
我挖到了django-haystack搜索，看起来好像在使用elasticsearch后端时使用'match_all'查询。是否有可能在不必修改django-haystack源代码的情况下获得模糊匹配行为？
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)
Haystack来源：https：//github.com/toastdriven/django-haystack/blob/master/haystack/backends/elasticsearch_backend.py（build_search_kwargs方法是我怀疑我需要更改的方法）
1 个解决方案
#1
6
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.
无需分叉Haystack，您可以在自己的后端更新该方法（有关更多详细信息，请参阅扩展Haystack的ElasticSearch后端）。 build_search_kwargs方法返回一个字典，因此您只需修改原始返回值即可。
Disclaimer: this code is just an example of how you could update your own backend, not how to implement fuzzy search.
免责声明：此代码只是您如何更新自己后端的示例，而不是如何实现模糊搜索。
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
#1
6
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.
无需分叉Haystack，您可以在自己的后端更新该方法（有关更多详细信息，请参阅扩展Haystack的ElasticSearch后端）。 build_search_kwargs方法返回一个字典，因此您只需修改原始返回值即可。
Disclaimer: this code is just an example of how you could update your own backend, not how to implement fuzzy search.
免责声明：此代码只是您如何更新自己后端的示例，而不是如何实现模糊搜索。
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