问题描述
我曾经使用过django，干草堆和elasticsearch。
我的search_index.py：
依赖于 ElasticsearchEngineBackendCustom 。
然后在您的设置中放入elasticsearch配置，例如：
ELASTICSEARCH_DEFAULT_ANALYZER ='italian'
ELASTICSEARCH_INDEX_SETTINGS = {
设置：{[...]}
}
您可以从的语言/current/analysis-lang-analyzer.html rel = nofollow title =语言分析器>语言分析器s
您还需要覆盖 SearchForm ：
＃-*-编码：utf-8-*-
from __future__ import absolute_import
从haystack.forms import来自.backend的SearchForm
import ElasticsearchSearchQuerySetSetCustom
class SearchFormCustom（SearchForm）：
def search（self）：
query = self。 searchqueryset.query.clean（self.cleaned_data.get（'q'））
如果不是self.is_valid（）或没有查询：
返回self.no_query_found（）
sqs = ElasticsearchSearchQuerySetCustom（）。multi_match（query，['title ^ 8'，'text ^ 0.5']）
return sqs
字段 title 和 text 必须在您的索引中，
您需要覆盖干草堆url模式才能使用自定义格式：
urlpatterns =模式（
'search.views'，
url（'^ $'，search_view_factory（form_class = SearchFormCustom），name ='haystack-search'），
）
就是这样，HTH：-）
注意不要t使用 result.object.something ，但改用索引中的字段，例如 result.tilte ，因为 result.object.tilte 会命中数据库！请参见
I used to django, haystack and elasticsearch.
My search_index.py:
from haystack import indexes from models import Advertisement class AdvertisementIndex(indexes.SearchIndex, indexes.Indexable): text = indexes.CharField(document=True, use_template=True) make = indexes.CharField() section = indexes.CharField() subcategory = indexes.CharField() content = indexes.CharField(model_attr='content') images = indexes.CharField(model_attr='images') def get_model(self): return Advertisement def index_queryset(self, using=None): return self.get_model().objects.filter(is_published=True).select_related('make').select_related('section').select_related('subcategory')search Form:
<form action="/search" method="get"> <input type="text-search" name="q"> <input type="submit" value=""> </form>template:
{% block content %} {% for result in page.object_list %} <p>{{ result.object.title }}</p> <p>{{ result.object.content }}</p> <p>{{ result.object.images }}</p> <p>{{ result.object.make }}</p> <p>{{ result.object.section }}</p> <p>{{ result.object.subcategory }}</p> {% empty %} <p>No result.</p> {% endfor %} {% endblock %}Looking at curl -XGET "http://localhost:9200/_search?q=fender+boss" i get all the values where there "boss" and "fender"
when you type in the search box "boss fender" i get No result. From the search form I can get a result with only a single word, for example "boss".How to make the ability to search for multiple words?
解决方案I fell into this issue during this month.
In order to perform the correct query you'll need override some haystack objects. I found this article very helpful Extending Haystack’s Elasticsearch backend. Quite complicated at the beginning, but once understand how it works... it works :-)
The blog article teaches how to implement elasticsearch's nested query... well... I've implemented a basic multi_match query.
# -*- coding: utf-8 -*- from __future__ import absolute_import from django.conf import settings from haystack.backends.elasticsearch_backend import ( ElasticsearchSearchBackend, ElasticsearchSearchEngine, ElasticsearchSearchQuery) from haystack.query import SearchQuerySet class ElasticsearchEngineBackendCustom(ElasticsearchSearchBackend): DEFAULT_ANALYZER = "snowball" def __init__(self, connection_alias, **connection_options): super(ElasticsearchEngineBackendCustom, self).__init__(connection_alias, **connection_options) user_settings = getattr(settings, 'ELASTICSEARCH_INDEX_SETTINGS', {}) if user_settings: setattr(self, 'DEFAULT_SETTINGS', user_settings) user_analyzer = getattr(settings, 'ELASTICSEARCH_DEFAULT_ANALYZER', '') if user_analyzer: setattr(self, 'DEFAULT_ANALYZER', user_analyzer) def build_search_kwargs(self, query_string, sort_by=None, start_offset=0, end_offset=None, fields='', highlight=False, facets=None, date_facets=None, query_facets=None, narrow_queries=None, spelling_query=None, within=None, dwithin=None, distance_point=None, models=None, limit_to_registered_models=None, result_class=None, multi_match=None): out = super(ElasticsearchEngineBackendCustom, self).build_search_kwargs(query_string, sort_by, start_offset, end_offset, fields, highlight, facets, date_facets, query_facets, narrow_queries, spelling_query, within, dwithin, distance_point, models, limit_to_registered_models, result_class) if multi_match: out['query'] = { 'multi_match': { 'query': multi_match['query'], 'fields': multi_match['fields'], 'tie_breaker': multi_match['tie_breaker'], 'minimum_should_match': multi_match['minimum_should_match'], } } return out def build_schema(self, fields): content_field_name, mapping = super(ElasticsearchEngineBackendCustom, self).build_schema(fields) for field_name, field_class in fields.items(): field_mapping = mapping[field_class.index_fieldname] if field_mapping['type'] == 'string' and field_class.indexed: if not hasattr(field_class, 'facet_for') or field_class.field_type in ('ngram', 'edge_ngram'): field_mapping['analyzer'] = getattr(field_class, 'analyzer', self.DEFAULT_ANALYZER) mapping.update({field_class.index_fieldname: field_mapping}) return content_field_name, mapping def multi_match_run(self, query, fields, minimum_should_match, tie_breaker): from elasticsearch_dsl import Search from elasticsearch_dsl.query import MultiMatch raw = Search().using(self.conn).query( MultiMatch(query=u'{}'.format(query), fields=fields, minimum_should_match=minimum_should_match, tie_breaker=tie_breaker) ).execute() return self._process_results(raw) class ElasticsearchSearchQueryCustom(ElasticsearchSearchQuery): def multi_match(self, query, fields, minimum_should_match, tie_breaker): results = self.backend.multi_match_run(query, fields, minimum_should_match, tie_breaker) self._results = results.get('results', []) self._hit_count = results.get('hits', 0) def add_multi_match_query(self, query, fields, minimum_should_match, tie_breaker): self.multi_match_query = { 'query': query, 'fields': fields, 'minimum_should_match': minimum_should_match, 'tie_breaker': tie_breaker } def build_params(self, spelling_query=None, **kwargs): search_kwargs = super(ElasticsearchSearchQueryCustom, self).build_params(spelling_query, **kwargs) if self.multi_match_query: search_kwargs['multi_match'] = self.multi_match_query return search_kwargs class ElasticsearchSearchQuerySetCustom(SearchQuerySet): def multi_match(self, query, fields, minimum_should_match="35%", tie_breaker=0.3): clone = self._clone() clone.query.add_multi_match_query(query, fields, minimum_should_match, tie_breaker) clone.query.multi_match(query, fields, minimum_should_match, tie_breaker) return clone class ElasticsearchEngineCustom(ElasticsearchSearchEngine): backend = ElasticsearchEngineBackendCustom query = ElasticsearchSearchQueryCustomAs you can see I used elasticsearc-dsl to perform the query (MultiMatch) and this phrase summarizing the blog post: ElasticsearchSearchQuerySetCustom().multi_match(...) call depends on ElasticsearchSearchQueryCustom that depends on ElasticsearchEngineBackendCustom.
Then put in your settings the elasticsearch configuration, e.g:
ELASTICSEARCH_DEFAULT_ANALYZER = 'italian' ELASTICSEARCH_INDEX_SETTINGS = { "settings": {[...]} }You can grab your language(s) for ELASTICSEARCH_INDEX_SETTINGS from Language Analyzers
You'll need to override also the SearchForm:
# -*- coding: utf-8 -*- from __future__ import absolute_import from haystack.forms import SearchForm from .backend import ElasticsearchSearchQuerySetCustom class SearchFormCustom(SearchForm): def search(self): query = self.searchqueryset.query.clean(self.cleaned_data.get('q')) if not self.is_valid() or not query: return self.no_query_found() sqs = ElasticsearchSearchQuerySetCustom().multi_match(query, ['title^8', 'text^0.5']) return sqsThe fields title and text must be in your index and the caret char is used to perform boost on fields.
You'll need override the haystack url patterns in order to use the custom form:
urlpatterns = patterns( 'search.views', url('^$', search_view_factory(form_class=SearchFormCustom), name='haystack-search'), )That's it, HTH :-)
Pay attention don't use result.object.something but use instead the fields on your index, e.g. result.tilte, because result.object.tilte hits the database! See Haystack Best Practices
这篇关于搜索多个单词elasticsearch haystack的文章就介绍到这了，希望我们推荐的答案对大家有所帮助，也希望大家多多支持！