This guide assumes you have Docker
(with Docker Compose
) installed on a server with at least 2GB of RAM memory.
Create a text file named docker-compose.yml
and paste the following inside:
version: '2' services: db: image: mariadb:10.1 environment: MYSQL_ROOT_PASSWORD: your_mysql_root_password MYSQL_USER: your_filerun_username MYSQL_PASSWORD: your_filerun_password MYSQL_DATABASE: your_filerun_database volumes: - /filerun/db:/var/lib/mysql web: image: filerun/filerun:8.1 environment: FR_DB_HOST: db FR_DB_PORT: 3306 FR_DB_NAME: your_filerun_database FR_DB_USER: your_filerun_username FR_DB_PASS: your_filerun_password APACHE_RUN_USER: www-data APACHE_RUN_USER_ID: 33 APACHE_RUN_GROUP: www-data APACHE_RUN_GROUP_ID: 33 depends_on: - db links: - db - tika - elasticsearch ports: - "80:80" volumes: - /filerun/html:/var/www/html - /filerun/user-files:/user-files tika: image: logicalspark/docker-tikaserver elasticsearch: image: docker.elastic.co/elasticsearch/elasticsearch:7.17.24 container_name: elasticsearch environment: - cluster.name=docker-cluster - bootstrap.memory_lock=true - "ES_JAVA_OPTS=-Xms512m -Xmx512m" ulimits: memlock: soft: -1 hard: -1 mem_limit: 1g volumes: - /filerun/esearch:/usr/share/elasticsearch/data
Please note the above volumes
configuration.
There are four folders you need to configure:
/var/www/html
/user-files
Chown this folder www-data:www-data/var/lib/mysql
/usr/share/elasticsearch/data
. Chown this folder 1000:1000You can use the following command with the docker-compose file above:
mkdir /filerun /filerun/html /filerun/user-files /filerun/db /filerun/esearch
Login to your FileRun client account by using this link: https://filerun.com/client-area/client-area-orders
It will take you to “Your Licenses”. That is where you will be able to download the FileRun application files in a zip archive.
Upload the zip archive to your server, inside where you mounted /var/www/html (for our above example, that would be /filerun/html
).
Extract the zip in the same folder.
Adjust the folder permissions to be writable by FileRun:
chown www-data:www-data -R /filerun/html/system/data
And start FileRun up using the following command:
docker compose up -d
FileRun should be now up and running and you can access it with your browser.
You will want to set the home folder path of the FileRun Superuser account to /user-files
This step is optional and needed only if you will be using the full text indexing to search files based on their textual contents.
To configure the file indexing feature please follow this guide.
The Elasticsearch Host URL
that needs to be configured is http://elasticsearch:9200
.
The Apache Tika server hostname
should be configured with tika
and the port number 9998
.
From the server's command line, open a console inside the FileRun Docker container:
docker exec -it filerun bash
filerun
is the container name. You can use the ID if a name is not given. To check the Docker containers ID, you can use the docker ps
command.
Create the indexation script file which will run periodically:
vim /var/www/html/cron/process_search_index_queue.sh
and paste (press “i” and then “CTRL+V”) the following inside:
php /var/www/html/cron/process_search_index_queue.php
Press “Esc” then “:wq” and “Enter” to save the changes and close the editor.
Adjust the script file permissions by making it executable:
chmod 755 /var/www/html/cron/process_search_index_queue.sh
Open the crontab:
vim /etc/crontab
and paste (press “i” and then “CTRL+V”) the following at its end (leaving the empty line at the bottom of the file):
* * * * * root /var/www/html/cron/process_search_index_queue.sh
Press “Esc” then “:wq” and “Enter” to save the changes and close the editor.
You should now have FileRun automatically index inside Elasticsearch the contents of all the file types supported by Apache Tika. Note that the above cronjob runs once every minute and it may take a minute or two for a file to be found by its content after uploading.
Important note: If your FileRun Docker container ever gets stopped for some reason, you will need to redo the “Setup the indexing process” section.