I'm using PyES to use ElasticSearch in Python. Typically, I build my queries in the following format:
# Create connection to server.
conn = ES('127.0.0.1:9200')
# Create a filter to select documents with 'stuff' in the title.
myFilter = TermFilter("title", "stuff")
# Create query.
q = FilteredQuery(MatchAllQuery(), myFilter).search()
# Execute the query.
results = conn.search(query=q, indices=['my-index'])
print type(results)
# > <class 'pyes.es.ResultSet'>
And this works perfectly. My problem begins when the query returns a large list of documents. Converting the results to a list of dictionaries is computationally demanding, so I'm trying to return the query results already in a dictionary. I came across with this documentation:
http://pyes.readthedocs.org/en/latest/faq.html#id3 http://pyes.readthedocs.org/en/latest/references/pyes.es.html#pyes.es.ResultSet https://github.com/aparo/pyes/blob/master/pyes/es.py (line 1304)
But I can't figure out what exactly I'm supposed to do. Based on the previous links, I've tried this:
from pyes import *
from pyes.query import *
from pyes.es import ResultSet
from pyes.connection import connect
# Create connection to server.
c = connect(servers=['127.0.0.1:9200'])
# Create a filter to select documents with 'stuff' in the title.
myFilter = TermFilter("title", "stuff")
# Create query / Search object.
q = FilteredQuery(MatchAllQuery(), myFilter).search()
# (How to) create the model ?
mymodel = lambda x, y: y
# Execute the query.
# class pyes.es.ResultSet(connection, search, indices=None, doc_types=None,
# query_params=None, auto_fix_keys=False, auto_clean_highlight=False, model=None)
resSet = ResultSet(connection=c, search=q, indices=['my-index'], model=mymodel)
# > resSet = ResultSet(connection=c, search=q, indices=['my-index'], model=mymodel)
# > TypeError: __init__() got an unexpected keyword argument 'search'
Anyone was able to get a dict from the ResultSet? Any good sugestion to efficiently convert the ResultSet to a (list of) dictionary will be appreciated too.