What is better to query elasticsearch from python?

Question

There are to libraries to do this pyes and pyelasticsearch. The pyelasticsearch website looks good, and pyes take an other approach but also is ok.

In the other hand this code works and it is very simple.

import urllib2 as urllib
import json
import pprint

query = {
    "from":0,
    "size":10,
    "query":{
        "field" : { 
            "name" : "david"
        }
    },
    "sort":[
        {"name":"asc"},
        {"lastName":"asc"}
    ]
}

query = json.dumps(query)
response = urllib.urlopen(
    'http://localhost:9200/users/users/_search',
    query
)

result = json.loads( response.read() )

pprint.pprint(result)

So I'm thinking about use the simple code instead of learn the tricks of the libraries.

this is fine ... although people typically use urllib2.urlopen ... I think it resolves some urllib issues... — Joran Beasley
– Joran Beasley, Commented Sep 26, 2012 at 16:12

gjb · Accepted Answer · 2012-09-27 11:23:44Z

7

There is nothing wrong with your approach of using the REST API to interface with ElasticSearch.

Pyes and the other libraries provide a wrapper around the REST API so that you can write Python code as oppose to building the JSON queries yourself.

answered Sep 27, 2012 at 11:23

gjb

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Comments

asmaier · Accepted Answer · 2019-10-02 12:30:04Z

Be aware that your code snippet as shown in your question won't work in Python 3. One has to encode the query string and also add a content header to your request. So in Python 3 do the following:

from urllib.request import urlopen, Request
import json
import pprint

query = {
    "from":0,
    "size":10,
    "query":{
        "field" : { 
            "name" : "david"
        }
    },
    "sort":[
        {"name":"asc"},
        {"lastName":"asc"}
    ]
}
# encode your json string
query = json.dumps(query).encode("utf-8")
# add a content-type header
request = Request('http://localhost:9200/users/users/_search', data=query, headers={'Content-Type': 'application/json'})
response = urlopen(request)
result = json.loads( response.read() )
pprint.pprint(result)

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