A Tutorial from Definitive Guide

Installation

pip install elasticsearch
./bin/elasticsearch to start running

Testing the installation

To test from a separate terminal window:

curl 'http://localhost:9200/?pretty'

or test from within the notebook:



In [7]:

    
%%bash
curl 'http://localhost:9200/?pretty'









    



{
  "status" : 200,
  "name" : "White Tiger",
  "cluster_name" : "elasticsearch",
  "version" : {
    "number" : "1.4.4",
    "build_hash" : "c88f77ffc81301dfa9dfd81ca2232f09588bd512",
    "build_timestamp" : "2015-02-19T13:05:36Z",
    "build_snapshot" : false,
    "lucene_version" : "4.10.3"
  },
  "tagline" : "You Know, for Search"
}






    



  % Total    % Received % Xferd  Average Speed   Time    Time     Time  Current
                                 Dload  Upload   Total   Spent    Left  Speed
100   339  100   339    0     0  26756      0 --:--:-- --:--:-- --:--:-- 28250



In [9]:

    
%%bash
curl -XGET 'localhost:9200/_count?pretty' -d '
{
    "query": {
        "match_all": {}
    }
}'









    



{
  "count" : 9,
  "_shards" : {
    "total" : 21,
    "successful" : 21,
    "failed" : 0
  }
}






    



  % Total    % Received % Xferd  Average Speed   Time    Time     Time  Current
                                 Dload  Upload   Total   Spent    Left  Speed
100   146  100    97  100    49   2727   1377 --:--:-- --:--:-- --:--:--  2771

Tutorial



In [1]:

    
from datetime import datetime



In [2]:

    
from elasticsearch import Elasticsearch



In [3]:

    
# by default we connect to localhost:9200
es = Elasticsearch()



In [4]:

    
# datetimes will be serialized
es.index(index="my-index", doc_type="test-type", id=42, body={"any": "data", "timestamp": datetime.now()})









    Out[4]:





{'_index': 'my-index',
 'created': False,
 '_id': '42',
 '_version': 6,
 '_type': 'test-type'}



In [5]:

    
# but not deserialized
es.get(index="my-index", doc_type="test-type", id=42)['_source']









    Out[5]:





{'timestamp': '2015-03-10T11:02:10.519324', 'any': 'data'}

Example from Elasticsearch Docs



In [6]:

    
doc = {
    'author': 'kimchy',
    'text': 'Elasticsearch: cool. bonsai cool.',
    'timestamp': datetime(2010, 10, 10, 10, 10, 10)
}



In [7]:

    
res = es.index(index="test-index", doc_type='tweet', id=1, body=doc)
print(res['created'])









    



False



In [8]:

    
res = es.get(index="test-index", doc_type='tweet', id=1)
print(res['_source'])









    



{'text': 'Elasticsearch: cool. bonsai cool.', 'timestamp': '2010-10-10T10:10:10', 'author': 'kimchy'}



In [9]:

    
es.indices.refresh(index="test-index")









    Out[9]:





{'_shards': {'successful': 5, 'total': 10, 'failed': 0}}



In [10]:

    
res = es.search(index="test-index", body={"query": {"match_all": {}}})
print("Got %d Hits:" % res['hits']['total'])









    



Got 1 Hits:



In [11]:

    
for hit in res['hits']['hits']:
    print("%(timestamp)s %(author)s: %(text)s" % hit["_source"])









    



2010-10-10T10:10:10 kimchy: Elasticsearch: cool. bonsai cool.



In [23]:

    
# Notice increased version
es.index(index="my-index", doc_type="test-type", id=42, body={"any": "data", "timestamp": datetime.now()})









    Out[23]:





{'created': False,
 '_type': 'test-type',
 '_version': 5,
 '_id': '42',
 '_index': 'my-index'}



In [12]:

    
es.get(index="my-index", doc_type="test-type", id=42)['_source']









    Out[12]:





{'timestamp': '2015-03-10T11:02:10.519324', 'any': 'data'}



In [3]:

    
%%bash
curl 'http://localhost:9200/?pretty'









    



{
  "status" : 200,
  "name" : "White Tiger",
  "cluster_name" : "elasticsearch",
  "version" : {
    "number" : "1.4.4",
    "build_hash" : "c88f77ffc81301dfa9dfd81ca2232f09588bd512",
    "build_timestamp" : "2015-02-19T13:05:36Z",
    "build_snapshot" : false,
    "lucene_version" : "4.10.3"
  },
  "tagline" : "You Know, for Search"
}






    



  % Total    % Received % Xferd  Average Speed   Time    Time     Time  Current
                                 Dload  Upload   Total   Spent    Left  Speed
100   339  100   339    0     0  32242      0 --:--:-- --:--:-- --:--:-- 33900



In [ ]: