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​diskover is a file system crawler and disk space usage software that uses Elasticsearch to index and manage data across heterogeneous storage systems.

Supported Architectures

Our images support multiple architectures such as x86-64, arm64 and armhf. We utilise the docker manifest for multi-platform awareness. More information is available from docker here and our announcement here.

Simply pulling linuxserver/diskover should retrieve the correct image for your arch, but you can also pull specific arch images via tags.

The architectures supported by this image are:

Usage

Here are some example snippets to help you get started creating a container from this image.

docker

docker create \
  --name=diskover \
  -e PUID=1000 \
  -e PGID=1000 \
  -e TZ=Europe/London \
  -e REDIS_HOST=redis \
  -e REDIS_PORT=6379 \
  -e ES_HOST=elasticsearch \
  -e ES_PORT=9200 \
  -e ES_USER=elastic \
  -e ES_PASS=changeme \
  -e INDEX_NAME=diskover- \
  -e DISKOVER_OPTS= \
  -e WORKER_OPTS= \
  -e RUN_ON_START=true \
  -e USE_CRON=true \
  -p 80:80 \
  -p 9181:9181 \
  -p 9999:9999 \
  -v /path/to/diskover/config:/config \
  -v /path/to/diskover/data:/data \
  --restart unless-stopped \
  linuxserver/diskover

docker-compose

Compatible with docker-compose v2 schemas.

version: '2'
services:
  diskover:
    image: linuxserver/diskover
    container_name: diskover
    environment:
      - PUID=1000
      - PGID=1000
      - TZ=Europe/London
      - REDIS_HOST=redis
      - REDIS_PORT=6379
      - ES_HOST=elasticsearch
      - ES_PORT=9200
      - ES_USER=elastic
      - ES_PASS=changeme
      - RUN_ON_START=true
      - USE_CRON=true
    volumes:
      - /path/to/diskover/config:/config
      - /path/to/diskover/data:/data
    ports:
      - 80:80
      - 9181:9181
      - 9999:9999
    mem_limit: 4096m
    restart: unless-stopped
    depends_on:
      - elasticsearch
      - redis
  elasticsearch:
    container_name: elasticsearch
    image: docker.elastic.co/elasticsearch/elasticsearch:5.6.9
    volumes:
      - ${DOCKER_HOME}/elasticsearch/data:/usr/share/elasticsearch/data
    environment:
      - bootstrap.memory_lock=true
      - "ES_JAVA_OPTS=-Xms2048m -Xmx2048m"
    ulimits:
      memlock:
        soft: -1
        hard: -1
  redis:
    container_name: redis
    image: redis:alpine
    volumes:
      - ${HOME}/docker/redis:/data

Parameters

Docker images are configured using parameters passed at runtime (such as those above). These parameters are separated by a colon and indicate <external>:<internal> respectively. For example, -p 8080:80 would expose port 80 from inside the container to be accessible from the host's IP on port 8080 outside the container.

Ports (-p)

Environment Variables (-e)

Volume Mappings (-v)

Environment variables from files (Docker secrets)

You can set any environment variable from a file by using a special prepend FILE__.

As an example:

-e FILE__PASSWORD=/run/secrets/mysecretpassword

Will set the environment variable PASSWORD based on the contents of the /run/secrets/mysecretpassword file.

Umask for running applications

For all of our images we provide the ability to override the default umask settings for services started within the containers using the optional -e UMASK=022 setting. Keep in mind umask is not chmod it subtracts from permissions based on it's value it does not add. Please read up here before asking for support.

User / Group Identifiers

When using volumes (-v flags), permissions issues can arise between the host OS and the container, we avoid this issue by allowing you to specify the user PUID and group PGID.

Ensure any volume directories on the host are owned by the same user you specify and any permissions issues will vanish like magic.

In this instance PUID=1000 and PGID=1000, to find yours use id user as below:

  $ id username
    uid=1000(dockeruser) gid=1000(dockergroup) groups=1000(dockergroup)

Application Setup

Once running the URL will be http://<host-ip>/ initial application spinup will take some time so please reload if you get an empty response. We highly reccomend using Docker compose for this image as it includes multiple database backends to link into. If you are looking to mount the elasticsearch and redis data to your host machine for access neither of them currently support setting a custom UID or GID they will run by default as:

• Redis - UID=999 GID=999

• Elasticsearch - UID=1000 GID=1000

ElasticSearch also requires a sysctl setting on the host machine to run properly. Running sysctl -w vm.max_map_count=262144 will solve this issue. To make this setting persistent through reboots, set this value in /etc/sysctl.conf.

If you simply want the application to work you can mount these to folders with 0777 permissions, otherwise you will need to create these users host level and set the folder ownership properly.

By default this compose example is pointed to a single directory and the UID and GID you pass to the diskover container needs to match that folders ownership. If these are shared folders with many owners the indexing will likely fail.

For specific questions or help setting up diskover in your environment please refer to the project's Github page Diskover.

Docker Mods

​​​​

We publish various Docker Mods to enable additional functionality within the containers. The list of Mods available for this image (if any) can be accessed via the dynamic badge above.

Support Info

• Shell access whilst the container is running:

  • docker exec -it diskover /bin/bash

• To monitor the logs of the container in realtime:

  • docker logs -f diskover

• Container version number

  • docker inspect -f '{{ index .Config.Labels "build_version" }}' diskover

• Image version number

  • docker inspect -f '{{ index .Config.Labels "build_version" }}' linuxserver/diskover

Versions

• 19.12.19: - Rebasing to alpine 3.11.

• 28.06.19: - Rebasing to alpine 3.10.

• 12.04.19: - Rebase to Alpine 3.9.

• 23.03.19: - Switching to new Base images, shift to arm32v7 tag.

• 01.11.18: - Initial Release.