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opensearch-pyd/docs/sphinx/api.rst
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.. _api:
API Documentation
=================
All the API calls map the raw REST api as closely as possible, including the
distinction between required and optional arguments to the calls. This means
that the code makes distinction between positional and keyword arguments; we,
however, recommend that people **use keyword arguments for all calls for
consistency and safety**.
.. note::
for compatibility with the Python ecosystem we use ``from_`` instead of
``from`` and ``doc_type`` instead of ``type`` as parameter names.
Global Options
--------------
Some parameters are added by the client itself and can be used in all API
calls.
Ignore
~~~~~~
An API call is considered successful (and will return a response) if
elasticsearch returns a 2XX response. Otherwise an instance of
:class:`~elasticsearch.TransportError` (or a more specific subclass) will be
raised. You can see other exception and error states in :ref:`exceptions`. If
you do not wish an exception to be raised you can always pass in an ``ignore``
parameter with either a single status code that should be ignored or a list of
them:
.. code-block:: python
from elasticsearch import Elasticsearch
es = Elasticsearch()
# ignore 400 cause by IndexAlreadyExistsException when creating an index
es.indices.create(index='test-index', ignore=400)
# ignore 404 and 400
es.indices.delete(index='test-index', ignore=[400, 404])
Timeout
~~~~~~~
Global timeout can be set when constructing the client (see
:class:`~elasticsearch.Connection`'s ``timeout`` parameter) or on a per-request
basis using ``request_timeout`` (float value in seconds) as part of any API
call, this value will get passed to the ``perform_request`` method of the
connection class:
.. code-block:: python
# only wait for 1 second, regardless of the client's default
es.cluster.health(wait_for_status='yellow', request_timeout=1)
.. note::
Some API calls also accept a ``timeout`` parameter that is passed to
Elasticsearch server. This timeout is internal and doesn't guarantee that the
request will end in the specified time.
Tracking Requests with Opaque ID
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
You can enrich your requests against Elasticsearch with an identifier string, that allows you to discover this identifier
in `deprecation logs <https://www.elastic.co/guide/en/elasticsearch/reference/7.4/logging.html#deprecation-logging>`_, to support you with
`identifying search slow log origin <https://www.elastic.co/guide/en/elasticsearch/reference/7.4/index-modules-slowlog.html#_identifying_search_slow_log_origin>`_
or to help with `identifying running tasks <https://www.elastic.co/guide/en/elasticsearch/reference/current/tasks.html#_identifying_running_tasks>`_.
.. code-block:: python
from elasticsearch import Elasticsearch
client = Elasticsearch()
# You can apply X-Opaque-Id in any API request via 'opaque_id':
resp = client.get(index="test", id="1", opaque_id="request-1")
.. py:module:: elasticsearch
Response Filtering
~~~~~~~~~~~~~~~~~~
The ``filter_path`` parameter is used to reduce the response returned by
elasticsearch. For example, to only return ``_id`` and ``_type``, do:
.. code-block:: python
es.search(index='test-index', filter_path=['hits.hits._id', 'hits.hits._type'])
It also supports the ``*`` wildcard character to match any field or part of a
field's name:
.. code-block:: python
es.search(index='test-index', filter_path=['hits.hits._*'])
Elasticsearch
-------------
.. autoclass:: Elasticsearch
:members:
.. py:module:: elasticsearch.client
Async Search
------------
.. autoclass:: AsyncSearchClient
:members:
Cat
---
.. autoclass:: CatClient
:members:
Cluster
-------
.. autoclass:: ClusterClient
:members:
Dangling Indices
----------------
.. autoclass:: DanglingIndicesClient
:members:
Indices
-------
.. autoclass:: IndicesClient
:members:
Ingest
------
.. autoclass:: IngestClient
:members:
Nodes
-----
.. autoclass:: NodesClient
:members:
Remote
------
.. autoclass:: RemoteClient
:members:
Snapshot
--------
.. autoclass:: SnapshotClient
:members:
Tasks
-----
.. autoclass:: TasksClient
:members: