Transport classes

List of transport classes that can be used, simply import your choice and pass it to the constructor of Elasticsearch as connection_class. Note that Thrift and Memcached protocols are experimental and require a plugin to be installed in your cluster as well as additional dependencies (thrift==0.9 and pylibmc==1.2).

Connection

class elasticsearch.connection.Connection(host='localhost', port=9200, url_prefix='', timeout=10, **kwargs)

Class responsible for maintaining a connection to an Elasticsearch node. It holds persistent connection pool to it and it’s main interface (perform_request) is thread-safe.

Also responsible for logging.

Parameters:
  • host – hostname of the node (default: localhost)
  • port – port to use (default: 9200)
  • url_prefix – optional url prefix for elasticsearch
  • timeout – default timeout in seconds (default: 10)

Urllib3HttpConnection

class elasticsearch.connection.Urllib3HttpConnection(host='localhost', port=9200, http_auth=None, use_ssl=False, **kwargs)

Default connection class using the urllib3 library and the http protocol.

Parameters:
  • http_auth – optional http auth information as either ‘:’ separated string or a tuple
  • use_ssl – use ssl for the connection if True

RequestsHttpConnection

class elasticsearch.connection.RequestsHttpConnection(host='localhost', port=9200, http_auth=None, use_ssl=False, **kwargs)

Connection using the requests library.

Parameters:
  • http_auth – optional http auth information as either ‘:’ separated string or a tuple
  • use_ssl – use ssl for the connection if True

ThriftConnection

class elasticsearch.connection.ThriftConnection(host='localhost', port=9500, framed_transport=False, use_ssl=False, **kwargs)

Connection using the thrift protocol to communicate with elasticsearch.

See https://github.com/elasticsearch/elasticsearch-transport-thrift for additional info.

Parameters:framed_transport – use TTransport.TFramedTransport instead of TTransport.TBufferedTransport

MemcachedConnection

class elasticsearch.connection.MemcachedConnection(host='localhost', port=11211, **kwargs)

Client using the pylibmc python library to communicate with elasticsearch using the memcached protocol. Requires plugin in the cluster.

See https://github.com/elasticsearch/elasticsearch-transport-memcached for more details.

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