Install the necessary Python Library via:
$ pip install elasticsearch
Connect to Elasticsearch, Create a Document (e.g. data entry) and "Index" the document using Elasticsearch.
from datetime import datetime
from elasticsearch import Elasticsearch
# Connect to Elasticsearch using default options (localhost:9200)
es = Elasticsearch()
# Define a simple Dictionary object that we'll index to make a document in ES
doc = {
'author': 'kimchy',
'text': 'Elasticsearch: cool. bonsai cool.',
'timestamp': datetime.now(),
}
# Write a document
res = es.index(index="test-index", doc_type='tweet', id=1, body=doc)
print(res['created'])
# Fetch the document
res = es.get(index="test-index", doc_type='tweet', id=1)
print(res['_source'])
# Refresh the specified index (or indices) to guarantee that the document
# is searchable (avoid race conditions with near realtime search)
es.indices.refresh(index="test-index")
# Search for the document
res = es.search(index="test-index", body={"query": {"match_all": {}}})
print("Got %d Hits:" % res['hits']['total'])
# Show each "hit" or search response (max of 10 by default)
for hit in res['hits']['hits']:
print("%(timestamp)s %(author)s: %(text)s" % hit["_source"])