Elasticsearch Profile
Elasticsearch
It is a distributed open source search and analysis engine, applicable to all types of data, including text, numbers, geospatial, structured and unstructured data.
Although Elasticsearch can RESTful API
operate, but the use of quite troublesome, hereinafter described several common visual management tool.
PS
: The following is a RESTful API Elasticsearch deployment and operation common
ElasticHD
ElasticHD
Support ES监控
, 实时搜索
, Index template快捷替换修改
, 索引列表信息查看
, SQL converts to DSL
tools. It is a very with the Dashboard.
项目地址
:https://github.com/360EntSecGroup-Skylar/ElasticHD
Docker 安装
:
$ docker run -p 9200:9200 -d --name elasticsearch elasticsearch
$ docker run -p 9800:9800 -d --link elasticsearch:demo containerize/elastichd
Open http://localhost:9800 in Browser
Connect with http://demo:9200
ElasticHD Dashboard 展示
:
elasticsearch-head
elasticsearch-head
It is used to monitor the status of client plug Elasticsearch, including visualization of data, perform CRUD operations.
项目地址
:https://github.com/mobz/elasticsearch-head
Docker 安装
:
- Elasticsearch 5.x 安装: docker run -p 9100:9100 mobz/elasticsearch-head:5
- Elasticsearch 2.x 安装: docker run -p 9100:9100 mobz/elasticsearch-head:2
- Elasticsearch 1.x 安装: docker run -p 9100:9100 mobz/elasticsearch-head:1
- alpine 镜像 mobz/elasticsearch-head:5-alpine
After installation is complete, use the browser to open http://localhost:9100/
Google Chrome 浏览器插件安装
: Browser plug-in Google search directly Center ElasticSearch Head
, searched installed can be used directly, simple and convenient.
elasticsearch-head Dashboard 展示
:
Dejavu
Dejavu
Also a Elasticsearch the Web UI tool UI interface more in line with current mainstream front page style, so easy to use.
项目地址
:https://github.com/appbaseio/dejavu/
Docker 安装
:
$ docker run -p 1358:1358 -d appbaseio/dejavu
open http://localhost:1358/
Dejavu Dashboard 展示
:
- Data Preview page is very intuitive, index / type / document shows a clear picture
![](https://img-blog.csdnimg.cn/20200206115013186.png?x-oss-process=image/watermark,type_ZmFuZ3poZW5naGVpdGk,shadow_10,text_aHR0cHM6Ly9ibG9nLmNzZG4ubmV0L3FxXzI0Nzk0NDAx,size_16,color_FFFFFF,t_70)
- Visual filter
sorting data and intuitively find the information, data hiding irrelevant and everything makes sense. For all native data type, we have it. Global search bar allows you to perform text searches in the data set.
此外,任何过滤的视图都可以导出为JSON或CSV文件。
- Modern UI elements
索引中包含成千上万的文档并不少见。Dejavu支持分页视图,该视图还允许您更改页面大小。
Dejavu还支持浏览来自多个索引和类型的数据,可以单独或通过批量查询来更新数据。还支持删除。
- Introducing JSON or CSV data
By guiding introducer view allows mapping configuration data to CSV or JSON data directly into the Elasticsearch.
to sum up
The above mentioned three Elasticsearch visualization tools, not specifically elaborate, this article only as initiate research specific use can slowly readers.
Reference links
- https://github.com/360EntSecGroup-Skylar/ElasticHD
- https://github.com/mobz/elasticsearch-head
- https://github.com/appbaseio/dejavu
This article from the YP station released!