YASA - Yet Another Solr Admin

Features

Dashboard	Discover	Visualize
Dev Tools	Zookeeper Tree Management	Collection Management

Installation

Standalone Mode

You can install YASA in standalone mode without affecting the official Solr Admin. Here is how:

• Download the latest release of YASA
• Extract files from yasa-vX.Y.tgz (where X.Y is the version number) to a directory, sayn YASA_HOME
• Configure your Nginx server and proxy /solr/** to your actual Solr Admin address, e.g. http://127.0.0.1:8983/solr.

Here is a Nginx configuration sample

worker_processes auto;

events {
	worker_connections 1024;
}

http {
	sendfile            on;
	tcp_nopush          on;
	tcp_nodelay         on;
	keepalive_timeout   65;
	types_hash_max_size 2048;

	include             /usr/local/nginx/conf/mime.types;
	default_type        application/octet-stream;

	upstream solr {
		server 127.0.0.1:8983; # replace 127.0.0.1:8983 with your Solr host and port
	}

	server {
		server_name 127.0.0.1;
		listen 7389;
		root <YASA_HOME>; # replace <YASA_HOME> with your actual directory path

		location /solr/ {
			location /solr/static/ {
				rewrite /solr/static/(.*) /static/$1;
			}
			location /solr/ {
				proxy_pass http://solr/solr/;
			}
		}
	}
}

Integration Mode

You can also replace the official admin interface with YASA:

• Download the latest release of YASA
• Extract files from yasa-vX.Y.tgz (where X.Y is the version number) to a directory, say YASA_HOME
• (Optional but recommended) Backup the Solr webapp folder (solr-x-y-z/server/solr-webapp/webapp, where x-y-z is the version number)
• Copy everything under ${YASA_HOME}/dist/ folder to solr-x-y-z/server/solr-webapp/webapp

Developement Mode

If you are interesting in YASA and want to contribute, you can run YASA in dev mode:

# pull source code
git clone https://github.com/kezhenxu94/yasa

# install dependencies
npm i

# serve with hot reload at localhost:8080
npm run dev

Todo

• More visualization charts
• Documentations

Contribution

Find this project useful? Any contributions are highly appreciated. You can open issues or pull requests to help make this project better.

Acknowledgements

• Thanks to the great work of Solr community.

• This project is greatly inspired by Kibana.