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Source: python-elasticsearch
Section: python
Priority: optional
Maintainer: Debian Python Team <team+python@tracker.debian.org>
Uploaders: Michael Fladischer <fladi@debian.org>
Build-Depends: debhelper-compat (= 12),
dh-python,
python3-all,
python3-setuptools
Build-Depends-Indep: libjs-jquery,
python3-coverage,
python3-mock,
python3-nose,
python3-pylibmc,
python3-requests (>= 2.0.0),
python3-sphinx (>= 1.0.7+dfsg-1~),
python3-sphinx-rtd-theme,
python3-thrift,
python3-urllib3,
python3-yaml,
Standards-Version: 4.5.0
Homepage: https://github.com/elasticsearch/elasticsearch-py
Vcs-Git: https://salsa.debian.org/python-team/packages/python-elasticsearch.git
Vcs-Browser: https://salsa.debian.org/python-team/packages/python-elasticsearch
Testsuite: autopkgtest-pkg-python
Package: python3-elasticsearch
Architecture: all
Depends: ${misc:Depends}, ${python3:Depends}
Suggests: python-elasticsearch-doc
Description: Python client for Elasticsearch (Python3 version)
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.
.
The 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 nodes
* persistent connections
* load balancing (with pluggable selection strategy) across all available
nodes
* failed connection penalization (time based - failed connections won't be
retried until a timeout is reached)
* thread safety
* pluggable architecture
.
This package contains the Python 3 version of the library.
Package: python-elasticsearch-doc
Section: doc
Architecture: all
Depends: ${misc:Depends}, ${sphinxdoc:Depends}
Description: Python client for Elasticsearch (Documentation)
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.
.
The 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 nodes
* persistent connections
* load balancing (with pluggable selection strategy) across all available
nodes
* failed connection penalization (time based - failed connections won't be
retried until a timeout is reached)
* thread safety
* pluggable architecture
.
This package contains the documentation.
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