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Project Description

Note: This is the document manager for Elasticsearch 1.x. If you want to use Elasticsearch >= 2.0, please install elastic2-doc-manager.

Getting Started

This package is a document manager for mongo-connector that targets Elasticsearch version 1.x. For information on running mongo-connector with Elasticsearch, please see the MongoConnector Usage with Elasticsearch wiki page.

Installation

The installation of the elastic-doc-manager depends on which version of Elasticsearch you are targeting.

Elasticsearch 1.x

For use with an Elasticsearch 1.x server, install with pip:

pip install 'elastic-doc-manager'

Amazon Elasticsearch 1.x Service

To use with Amazon Elasticsearch Service, you must install the required AWS dependencies along with the version of Elasticsearch:

pip install 'elastic-doc-manager[aws]'

Elasticsearch >= 2.0

This is the document manager for Elasticsearch 1.x only. If you want to target 2.0 or greater, please install the elastic2-doc-manager.

Development

You can also install the development version of elastic-doc-manager manually:

git clone https://github.com/mongodb-labs/elastic-doc-manager.git
pip install -e './elastic-doc-manager'

You may have to run pip with sudo, depending on where you’re installing and what privileges you have.

Note: Before mongo-connector version 2.2.2, the elastic doc manager was packaged with mongo-connector and only supported Elasticsearch 1.x.

Running the tests

Requirements

  1. Copy of the Elastic 1.x Document Manager Github repository

    The tests are not included in the package from PyPI and can only be acquired by cloning this repository on Github:

    git clone https://github.com/mongodb-labs/elastic-doc-manager
    
  2. Mongo Orchestration

    Mongo Connector runs MongoDB on its own using another tool called Mongo Orchestration. This package should install automatically if you run python setup.py test, but the Mongo Orchestration server still needs to be started manually before running the tests:

    mongo-orchestration --bind 127.0.0.1 --config orchestration.config start
    

    will start the server. To stop it:

    mongo-orchestration --bind 127.0.0.1 --config orchestration.config stop
    

    The location of the MongoDB server should be set in orchestration.config. For more information on how to use Mongo Orchestration, or how to use it with different arguments, please look at the Mongo-Orchestration README.

  3. Environment variables

    There are a few influential environment variables that affect the tests. These are:

    • DB_USER is the username to use if running the tests with authentication enabled.
    • DB_PASSWORD is the password for the above.
    • MONGO_PORT is the starting port for running MongoDB. Future nodes will be started on sequentially increasing ports.
    • ES_HOST is the hostname on which Elasticsearch is running.
    • ES_PORT is the port on which Elasticsearch is running.
    • MO_ADDRESS is the address to use for Mongo Orchestration (i.e. hostname:port)

All the tests live in the tests directory.

Running tests on the command-line

While the tests take care of setting up and tearing down MongoDB clusters on their own, make sure to start Elastic before doing a full test run!

You can run all the tests with one command (this works in all supported Python versions):

python setup.py test

In addition, you can be more selective with which tests you run (in Python > 2.6 only)! For example, if you only wanted to run the elastic doc manager tests:

python -m unittest tests.test_elastic_doc_manager

Error messages

Some of the tests are meant to generate lots of ERROR-level log messages, especially the rollback tests. mongo-connector logs exceptions it encounters while iterating the cursor in the oplog, so we see these in the console output while MongoDB clusters are being torn apart in the tests. As long as all the tests pass with an OK message, all is well.

Release History

Release History

0.3.0

This version

History Node

TODO: Figure out how to actually get changelog content.

Changelog content for this version goes here.

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0.2.0

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TODO: Figure out how to actually get changelog content.

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0.1.0

History Node

TODO: Figure out how to actually get changelog content.

Changelog content for this version goes here.

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elastic_doc_manager-0.3.0-py2.py3-none-any.whl (13.5 kB) Copy SHA256 Checksum SHA256 3.5 Wheel Jan 12, 2017
elastic-doc-manager-0.3.0.tar.gz (18.5 kB) Copy SHA256 Checksum SHA256 Source Jan 12, 2017

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