Shulou(Shulou.com)06/01 Report--

In this issue, the editor will bring you about how to use the common visual management tools of Elasticsearch. The article is rich in content and analyzes and narrates it from a professional point of view. I hope you can get something after reading this article.

An overview

One of the obvious differences between the powerful search engine Elasticsearch and the traditional relational database is that the former is an unstructured NoSQL database, so many concepts such as indexes, types, documents and so on may be confusing for beginners. Sometimes even if we have built an ES cluster, we may be confused about what form the data will exist after it is stored. It will be easy to understand if there is a visual management tool to assist us, so this article collects several Elasticsearch visual management tools and experiences them one by one.

The contents are as follows:

Elasticsearch-head

Project address: https://github.com/mobz/elasticsearch-head

Direct installation method: I will not repeat it here. It has been recorded in my previous article "filling holes for Elasticsearch installation on CentOS-7". You can check it out.

Docker installation method:

Docker run-d-p 9100 9100 docker.io/mobz/elasticsearch-head:5

Start access: http://localhost:9100

Use effect:

(forget it, this ancient UI really doesn't want to take another look, so let's make do with two pictures.)

ElasticHD

ElasticHD supports ES monitoring, real-time search, Index template quick replacement modification, index list information view, SQL converts to DSL tools and so on.

* * Project address: * * https://github.com/360EntSecGroup-Skylar/ElasticHD

Direct installation:

1. First download the zip package: https://github.com/360EntSecGroup-Skylar/ElasticHD/releases/2. Modify permission: chmod-R 777 ElasticHD3. Run:. / ElasticHD-p 127.0.0.1 purl 9800

Docker installation method:

Docker run-p 9200 link elasticsearch:demo containerize/elastichd 9200-- name elasticsearch elasticsearchdocker run-p 9800-- link elasticsearch:demo containerize/elastichd

Start access: http://localhost:9800

Use effect:

This Dashboard is a little cool:

Data search is intuitive and easy to use:

The index list can be seen more clearly:

This gadget for converting SQL query statements to ES's Json query format is quite powerful:

Dejavu

Dejavu is also an Elasticsearch Web UI tool, and its UI interface is more in line with the current mainstream front-end page style, so it is very convenient to use.

* * Project address: * * https://github.com/appbaseio/dejavu/

Docker installation method:

Docker run-p 1358 docker run-d appbaseio/dejavu

Start access:: http://localhost:1358/

Use effect:

This data preview page is very intuitive and the index / type / document can be seen clearly.

The query function is also good.

All right, let's throw a brick to attract jade here, and you can have an in-depth experience according to your own preferences!

The above is the editor for you to share how to use Elasticsearch common visual management tools, if you happen to have similar doubts, you might as well refer to the above analysis to understand. If you want to know more about it, you are welcome to follow the industry information channel.

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