def execute(self):
"""
Execute the multi search request and return a list of search results.
"""
es = get_connection(self._using)
return es.msearch(index=self._index,
body=self.to_dict(),
**self._params)
def delete(self):
"""
delete() executes the query by delegating to delete_by_query()
"""
es = get_connection(self._using)
return es.delete_by_query(index=self._index, body=self.to_dict())
def execute(self):
"""
Execute the search and return an instance of ``Response`` wrapping all
the data.
"""
es = get_connection(self._using)
return Response(es.search(index=self._index, body=self.to_dict()),
search=self)
def count(self):
"""
Return the number of hits matching the query and filters. Note that
only the actual number is returned.
"""
es = get_connection(self._using)
d = self.to_dict(count=True)
return es.count(index=self._index, body=d)["count"]
def scan(self):
"""
Turn the search into a scan search and return a generator that will
iterate over all the documents matching the query.
Use ``params`` method to specify any additional arguments you with to
pass to the underlying ``scan`` helper from ``elasticsearch-py`` -
https://elasticsearch-py.readthedocs.io/en/master/helpers.html#elasticsearch.helpers.scan
"""
es = get_connection(self._using)
for hit in scan(es, query=self.to_dict(), index=self._index):
yield hit