[7.x] Split 'docs/' folder into 'docs/sphinx' and 'docs/guide'
Co-authored-by: Seth Michael Larson <[email protected]>
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co-authored by
Seth Michael Larson
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.scrapy
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.scrapy
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# Sphinx documentation
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# Sphinx documentation
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docs/_build/
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docs/sphinx/_build/
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# PyBuilder
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# PyBuilder
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.pybuilder/
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.pybuilder/
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version: 2
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sphinx:
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configuration: docs/sphinx/conf.py
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python:
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version: 3.7
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install:
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- method: pip
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path: .
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- requirements: dev-requirements.txt
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../Changelog.rst
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= elasticsearch-py
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== Overview
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Official low-level client for Elasticsearch. Its goal is to provide common
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ground for all Elasticsearch-related code in Python; because of this it tries
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to be opinion-free and very extendable. The full documentation is available at
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https://elasticsearch-py.readthedocs.io
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=== Installation
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It can be installed with pip:
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[source,sh]
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-------------------------------------
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$ python -m pip install elasticsearch
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-------------------------------------
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If your application uses async/await in Python you can install with
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the `async` extra:
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[source,sh]
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--------------------------------------------
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$ python -m pip install elasticsearch[async]
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--------------------------------------------
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Read more about https://elasticsearch-py.readthedocs.io/en/master/async.html[how to use asyncio with this project].
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=== Compatibility
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Current development happens in the master branch.
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The library is compatible with all Elasticsearch versions since `0.90.x` but you
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**have to use a matching major version**:
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For **Elasticsearch 7.0** and later, use the major version 7 (`7.x.y`) of the
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library.
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For **Elasticsearch 6.0** and later, use the major version 6 (``6.x.y`) of the
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library.
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For **Elasticsearch 5.0** and later, use the major version 5 (`5.x.y`) of the
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library.
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For **Elasticsearch 2.0** and later, use the major version 2 (`2.x.y`) of the
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library, and so on.
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The recommended way to set your requirements in your `setup.py` or
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`requirements.txt` is::
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# Elasticsearch 7.x
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elasticsearch>=7,<8
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# Elasticsearch 6.x
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elasticsearch>=6,<7
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# Elasticsearch 5.x
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elasticsearch>=5,<6
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# Elasticsearch 2.x
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elasticsearch>=2,<3
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If you have a need to have multiple versions installed at the same time older
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versions are also released as ``elasticsearch2`` and ``elasticsearch5``.
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=== Example use
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Simple use-case:
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[source,python]
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------------------------------------
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>>> from datetime import datetime
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>>> from elasticsearch import Elasticsearch
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# By default we connect to localhost:9200
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>>> es = Elasticsearch()
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# Datetimes will be serialized...
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>>> es.index(index="my-index-000001", doc_type="test-type", id=42, body={"any": "data", "timestamp": datetime.now()})
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{'_id': '42', '_index': 'my-index-000001', '_type': 'test-type', '_version': 1, 'ok': True}
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# ...but not deserialized
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>>> es.get(index="my-index-000001", doc_type="test-type", id=42)['_source']
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{'any': 'data', 'timestamp': '2013-05-12T19:45:31.804229'}
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------------------------------------
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[NOTE]
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All the API calls map the raw REST API as closely as possible, including
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the distinction between required and optional arguments to the calls. This
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means that the code makes distinction between positional and keyword arguments;
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we, however, recommend that people use keyword arguments for all calls for
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consistency and safety.
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=== Features
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The client's features include:
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* Translating basic Python data types to and from JSON
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* Configurable automatic discovery of cluster nodes
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* Persistent connections
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* Load balancing (with pluggable selection strategy) across all available nodes
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* Failed connection penalization (time based - failed connections won't be
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retried until a timeout is reached)
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* Thread safety
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* Pluggable architecture
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The client also contains a convenient set of
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https://elasticsearch-py.readthedocs.org/en/master/helpers.html[helpers] for
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some of the more engaging tasks like bulk indexing and reindexing.
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=== Elasticsearch DSL
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For a more high level client library with more limited scope, have a look at
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https://elasticsearch-dsl.readthedocs.org/[elasticsearch-dsl] - a more Pythonic library
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sitting on top of `elasticsearch-py`.
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It provides a more convenient and idiomatic way to write and manipulate
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https://elasticsearch-dsl.readthedocs.org/en/latest/search_dsl.html[queries]. It
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stays close to the Elasticsearch JSON DSL, mirroring its terminology and
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structure while exposing the whole range of the DSL from Python either directly
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using defined classes or a queryset-like expressions.
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It also provides an optional
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https://elasticsearch-dsl.readthedocs.org/en/latest/persistence.html#doctype[persistence
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layer] for working with documents as Python objects in an ORM-like fashion:
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defining mappings, retrieving and saving documents, wrapping the document data
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in user-defined classes.
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=== License
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Licensed to Elasticsearch B.V. under one or more contributor
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license agreements. See the NOTICE file distributed with
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this work for additional information regarding copyright
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ownership. Elasticsearch B.V. licenses this file to you under
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the Apache License, Version 2.0 (the "License"); you may
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not use this file except in compliance with the License.
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You may obtain a copy of the License at
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http://www.apache.org/licenses/LICENSE-2.0
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Unless required by applicable law or agreed to in writing,
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software distributed under the License is distributed on an
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"AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
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KIND, either express or implied. See the License for the
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specific language governing permissions and limitations
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under the License.
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Symlink
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session.install(".")
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session.install(".")
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session.install("-rdev-requirements.txt", "sphinx-rtd-theme")
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session.install("-rdev-requirements.txt", "sphinx-rtd-theme")
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session.run("sphinx-build", "docs/", "docs/_build", "-b", "html")
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session.run("sphinx-build", "docs/sphinx/", "docs/sphinx/_build", "-b", "html")
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