ElasticHD is a ElasticSearch visual management tool. It does not require any software. It works in your web browser, allowing you to manage and monitor your ElasticSearch clusters from anywhere at any time. Built on responsive CSS design, ElasticHD adjusts itself to any screen size on any device.The following functions are supported:
- ES Real time data search and query
- ES Dashboard data visualization
- ES Indices Management
- Managing Type Mappings
- SQL Converts to Elasticsearch DSL
- Device Friendly
ElasticSearch server that supports privileged authentication, URL format:http://user:password@host:port
Precompiled binaries for supported operating systems are available.
- Linux and MacOS use ElasticHD
Step1: Download the corresponding elasticHD version,unzip xxx_elasticHd_xxx.zip
Step2: chmod 0777 ElasticHD
Step3: exec elastichd ./ElasticHD -p 127.0.0.1:9800
- windows
Step1: Download the corresponding elasticHD version,Double click zip package to unzip
Step2: exec elastichd ./ElasticHD -p 127.0.0.1:9800
ElasticHD does not require any software. It works in your web browser, allowing you to manage and monitor your ElasticSearch clusters from anywhere at any time. Built on responsive CSS design, ElasticHD adjusts itself to any screen size on any device.
Compatible with all ES versions
Contributions are welcome! Open a pull request to fix a bug, or open an issue to discuss a new feature or change.
- SQL Select
- SQL Where
- SQL Order BySQL
- SQL Group By
- SQL AND & OR
- SQL Like & NOT Like
- SQL COUNT distinct
- SQL In & Not In
- SQL Between
- SQL avg()、count(*), count(field), min(field), max(field)
- ES TopHits
- ES date_histogram
- ES STATS
- ES RANGE
- ES DATE_RANGE
- Improvement : now the query DSL is much more flat*
Query
SELECT * FROM test WHERE a=1 AND b="c" AND create_time BETWEEN '2015-01-01T00:00:00+0800' AND '2016-01-01T00:00:00+0800' AND process_id > 1 ORDER BY id DESC LIMIT 100,10
Aggregation
SELECT avg(age), min(age), max(age), count(student), count(distinct student) FROM test GROUP BY grade,class LIMIT 10
Beyond SQL
-
range age group 20-25,25-30,30-35,35-40
SELECT COUNT(age) FROM bank GROUP BY range(age, 20,25,30,35,40)
-
range date group by your config
SELECT online FROM online GROUP BY date_range(field="insert_time",format="yyyy-MM-dd" ,"2014-08-18","2014-08-17","now-8d","now-7d","now-6d","now")
-
range date group by day
SELECT * FROM test GROUP BY date_histogram(field="changeTime",interval="1h",format="yyyy-MM-dd HH:mm:ss")
-
stats
SELECT online FROM online GROUP BY stats(field="grade")
-
topHits
SELECT top_hits(field="class", hitssort="age:desc", taglimit = "10", hitslimit = "1", _source="name,age,class,gender") FROM school
git clone https://github.com/360EntSecGroup-Skylar/ElasticHD
cd ElasticHD
npm install
npm run build
cd ./main
statik -src=../dist
# go build
GO_ENABLED=0 GOOS=windows GOARCH=amd64 go build -o elasticHD.exe github.com/elasticHD/main
Image link: docker images
-
Make Docker Images docker build -t elastichd:latest .
-
Docker Usage:
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
- More plugins support
- The indices list supports search, better sorting, detailed viewing, and more
- Program logo design
- Monitoring information collection
This program is under the terms of the MIT License. See LICENSE for the full license text.