How to use ElasticSearch with Python

This is a short example on how to use ElasticSearch with Python. First install pyes ([pyes documentation](http://pyes.readthedocs.org/en/latest/)). Then run this code: ```python # https://pyes.readthedocs.org/en/latest/references/pyes.es.html # http://davedash.com/2011/02/25/bulk-load-elasticsearch-using-pyes/ from pyes import * index_name = 'xxx' type_name = 'car' conn = ES('127.0.0.1:9200', timeout=3.5) docs = [ {"name":"good", "id":'1'}, {"name":"bad", "id":'2'}, {"name":"ugly", "id":'3'} ] # Bulk index for doc in docs: # index(doc, index, doc_type, id=None, parent=None, force_insert=False, op_type=None, bulk=False, version=None, querystring_args=None) conn.index(doc, index_name, type_name, id=doc['id'], bulk=True) print conn.refresh() # Search def search(query): q = StringQuery(query, default_operator="AND") result = conn.search(query=q, indices=[index_name]) for r in result: print r search("good") ``` You can also use CURL to verify that it works: ```python # Show index mapping curl -vvv "http://127.0.0.1:9200/xxx/_mapping?pretty=1" # Delete index curl -XDELETE -vvv "http://127.0.0.1:9200/xxx" # Search curl -vvv "http://127.0.0.1:9200/xxx/_search?pretty=1" ```