Package: elasticsearch-bdoc
Official low-level client for Elasticsearch. Its goal is to provide common
ground for all Elasticsearch-related code in Python; because of this it tries
to be opinion-free and very extendable.For a more high level client library with more limited scope, have a look atelasticsearch-dsl- a more pythonic library sitting on top ofelasticsearch-py.It provides a more convenient and idiomatic way to write and manipulatequeries. It stays close to the Elasticsearch JSON DSL, mirroring its
terminology and structure while exposing the whole range of the DSL from Python
either directly using defined classes or a queryset-like expressions.It also provides an optionalpersistence layerfor working with documents as
Python objects in an ORM-like fashion: defining mappings, retrieving and saving
documents, wrapping the document data in user-defined classes.CompatibilityThe library is compatible with all Elasticsearch versions since0.90.xbut youhave to use a matching major version:ForElasticsearch 2.0and later, use the major version 2 (2.x.y) of the
library.ForElasticsearch 1.0and later, use the major version 1 (1.x.y) of the
library.ForElasticsearch 0.90.x, use a version from0.4.xreleases of the
library.The recommended way to set your requirements in yoursetup.pyorrequirements.txtis:# Elasticsearch 2.x
elasticsearch>=2.0.0,<3.0.0

# Elasticsearch 1.x
elasticsearch>=1.0.0,<2.0.0

# Elasticsearch 0.90.x
elasticsearch<1.0.0The development is happening onmasterand1.xbranches, respectively.InstallationInstall theelasticsearchpackage withpip:pip install elasticsearchExample useSimple use-case:>>> from datetime import datetime
>>> from elasticsearch import Elasticsearch

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

# create an index in elasticsearch, ignore status code 400 (index already exists)
>>> es.indices.create(index='my-index', ignore=400)
{u'acknowledged': True}

# datetimes will be serialized
>>> es.index(index="my-index", doc_type="test-type", id=42, body={"any": "data", "timestamp": datetime.now()})
{u'_id': u'42', u'_index': u'my-index', u'_type': u'test-type', u'_version': 1, u'ok': True}

# but not deserialized
>>> es.get(index="my-index", doc_type="test-type", id=42)['_source']
{u'any': u'data', u'timestamp': u'2013-05-12T19:45:31.804229'}Full documentation.FeaturesThe client’s features include:translating basic Python data types to and from json (datetimes are not
decoded for performance reasons)configurable automatic discovery of cluster nodespersistent connectionsload balancing (with pluggable selection strategy) across all available nodesfailed connection penalization (time based - failed connections won’t be
retried until a timeout is reached)support for ssl and http authenticationthread safetypluggable architectureLicenseCopyright 2015 ElasticsearchLicensed under the Apache License, Version 2.0 (the “License”);
you may not use this file except in compliance with the License.
You may obtain a copy of the License athttp://www.apache.org/licenses/LICENSE-2.0Unless required by applicable law or agreed to in writing, software
distributed under the License is distributed on an “AS IS” BASIS,
WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
See the License for the specific language governing permissions and
limitations under the License.Build status