yeasy/elasticsearch repository overview

⁠Docker-Elasticsearch

Docker images for the elasticsearch.

⁠Supported tags and respective Dockerfile links

• 2.0 (latest/Dockerfile)⁠
• 1.7 (latest/Dockerfile)⁠
• latest (latest/Dockerfile)⁠

For more information about this image and its history, please see the relevant manifest file in the yeasy/docker-elasticsearch GitHub repo⁠.

⁠What is docker-elasticsearch?

Docker image with elasticsearch installed. The image is built based on elasticsearch 1.7⁠.

⁠How to use this image?

The docker image is auto built at https://registry.hub.docker.com/u/yeasy/elasticsearch/⁠.

⁠In Dockerfile

FROM yeasy/elasticsearch:latest

⁠Local Run

$ docker run -d -v "$PWD/config":/usr/share/elasticsearch/config -v "$PWD/esdata":/usr/share/elasticsearch/data yeasy/elasticsearch

⁠Which image is based on?

The image is based on official elasticsearch:1.7.

⁠What has been changed?

⁠add useful plugins

Add the head⁠, bigdesk⁠, marvel⁠ plugins.

⁠add netflow template

Netflow event from the logstash can be automatically put into the db.

⁠Supported Docker versions

This image is officially supported on Docker version 1.7.1.

Support for older versions (down to 1.0) is provided on a best-effort basis.

⁠User Feedback

⁠Documentation

Be sure to familiarize yourself with the repository's README.md⁠ file before attempting a pull request.

⁠Issues

If you have any problems with or questions about this image, please contact us through a GitHub issue⁠.

You can also reach many of the official image maintainers via the email.

⁠Contributing

You are invited to contribute new features, fixes, or updates, large or small; we are always thrilled to receive pull requests, and do our best to process them as fast as we can.

Before you start to code, we recommend discussing your plans through a GitHub issue⁠, especially for more ambitious contributions. This gives other contributors a chance to point you in the right direction, give you feedback on your design, and help you find out if someone else is working on the same thing.