I have big search index, i want to narrow deep by filter to reduce search time: so first filter data to search by user project, and then search.
Now i do search by all data of all user projects - this is very slow.
From docs i found:
s = Search()
s = s.filter('terms', tags=['search', 'python'])
http://elasticsearch-dsl.readthedocs.io/en/latest/search_dsl.html
and i do this in my code ("project" is a field from search_indexes.py)
but the following code doesn't find anything (without filter all works)
q = Q('bool',
#must=[Q('match', text='BBQ')],
should=eval(i), #[Q(...), Q(...)],
minimum_should_match='1',
_name=name_query
)
s = Search(using=client, index="haystack")
s = s.filter('terms', project=[project_id])
s = s.query(q).query(~Q("match", text=minus_words))
s.aggs.bucket('per_tag', 'terms', field='project') \
.metric('max_lines', 'max', field='lines')
s = s.highlight('text', fragment_size=50)
s = s[0:1000]
response = s.execute()