elasticsearch

library/elasticsearch

Elasticsearch是一款功能强大的开源搜索与分析引擎,它基于Lucene构建,具备分布式、高扩展、实时处理的特性,能够高效存储、检索和分析各类结构化与非结构化数据,广泛应用于日志分析、全文搜索、业务智能等场景,通过简化数据探索流程,帮助用户快速从海量数据中获取有价值的洞察,让复杂数据的分析与利用变得简单高效。

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Quick reference

  • Maintained by:
    https://github.com/elastic/elasticsearch

  • Where to get help:
    the Elasticsearch Discuss Forums, the Elastic community

Supported tags and respective Dockerfile links

  • https://github.com/elastic/dockerfiles/blob/d3f7abab***dd73b839511b9041d18f8e7de2a/elasticsearch/Dockerfile

  • https://github.com/elastic/dockerfiles/blob/bc45b0a40d0cf09bb9bb229a6ce6947f3f5ccbf4/elasticsearch/Dockerfile

  • https://github.com/elastic/dockerfiles/blob/6245ba340217b06d8c51bd***e90914604bb/elasticsearch/Dockerfile

Quick reference (cont.)

  • Where to file issues:
    For issues with Elasticsearch Docker Image or Elasticsearch: https://github.com/elastic/elasticsearch/issues

  • Supported architectures: (https://github.com/docker-library/official-images#architectures-other-than-amd64)
    https://hub.docker.com/r/amd64/elasticsearch/, https://hub.docker.com/r/arm64v8/elasticsearch/

  • Published image artifact details:
    https://github.com/docker-library/repo-info/blob/master/repos/elasticsearch (https://github.com/docker-library/repo-info/commits/master/repos/elasticsearch)
    (image metadata, transfer size, etc)

  • Image updates:
    https://github.com/docker-library/official-images/issues?q=label%3Alibrary%2Felasticsearch
    https://github.com/docker-library/official-images/blob/master/library/elasticsearch (https://github.com/docker-library/official-images/commits/master/library/elasticsearch)

  • Source of this description:
    https://github.com/docker-library/docs/tree/master/elasticsearch (https://github.com/docker-library/docs/commits/master/elasticsearch)

What is Elasticsearch?

Elasticsearch is a distributed, RESTful search and analytics engine capable of solving a growing number of use cases. As the heart of the Elastic Stack, it centrally stores your data so you can discover the expected and uncover the unexpected.

For more information about Elasticsearch, please visit [***]

!https://raw.githubusercontent.com/docker-library/docs/7baeec9386c1d3960fc9021a5973694b2e0e1af9/elasticsearch/logo.png

About This Image

This default distribution is governed by the Elastic License, and includes the full set of free features.

View the detailed release notes here.

Not the version you're looking for? View all supported past releases.

How to use this image

Note: Pulling an images requires using a specific version number tag. The latest tag is not supported.

For Elasticsearch versions prior to 6.4.0 a full list of images, tags, and documentation can be found at docker.elastic.co.

For full Elasticsearch documentation see here.

The commands below are intended for deploying in a development context only. For production installation and configuration, see Install Elasticsearch with Docker.

Running in Development Mode

Create user defined network (useful for connecting to other services attached to the same network (e.g. Kibana)):

console
$ docker network create somenetwork

Run Elasticsearch:

console
$ docker run -d --name elasticsearch --net somenetwork -p 9200:9200 -p 9300:9300 -e "discovery.type=single-node" elasticsearch:tag

Running in Production Mode

See Install Elasticsearch with Docker

License

View https://github.com/elastic/elasticsearch/blob/master/licenses/ELASTIC-LICENSE-2.0.txt for the software contained in this image.

As with all Docker images, these likely also contain other software which may be under other licenses (such as Bash, etc from the base distribution, along with any direct or indirect dependencies of the primary software being contained).

Some additional license information which was able to be auto-detected might be found in https://github.com/docker-library/repo-info/tree/master/repos/elasticsearch.

As for any pre-built image usage, it is the image user's responsibility to ensure that any use of this image complies with any relevant licenses for all software contained within.

镜像拉取方式

您可以使用以下命令拉取该镜像。请将 <标签> 替换为具体的标签版本。如需查看所有可用标签版本,请访问 标签列表页面

轩辕镜像加速拉取命令点我查看更多 elasticsearch 镜像标签

docker pull docker.xuanyuan.run/elasticsearch:<标签>

DockerHub 原生拉取命令

docker pull elasticsearch:<标签>

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