Data Folder
Your installation of Supervisely platform uses the DATA_PATH
value to configure where to store its persistent data. By default, this value is set to /supervisely/data
. This guide explains what kind of data can be found inside this folder, requirements and the cleanup.
db
2-10Gb+
required
No
logs
10Mb - 4Gb+
not required
Yes
net-server
1Mb
not required
Almost
proxy_cache
100Mb - 10Gb+
preferable
Yes
rabbitmq
100Mb - 2Gb
preferable
Almost
redis
10Mb - 2Gb
not required
Almost
redis-json
10Mb - 1Gb
not required
Almost
storage
10Gb - 100Gb+
not required
No
Never set DATA_PATH
pointing to a network share (NFS/SMB/ESB/etc), because it affects the performance significantly. Instead, you should just symlink every folder that doesn't require a fast drive to a network share. In most cases it's just the "storage" folder.
db
This subfolder is used by PostgreSQL relational database. This is the primary database Supervisely uses to store your annotations, users, dataset structures, and so on. Contents of this folder are shared with postgres
Docker container. The size of the database usually does not exceed 10 Gb.
It's advised to store this folder on a fast SSD drive. If you store it on a slow HDD drive, you may experience performance issues.
This database does not store your actual images or videos, only URLs or file hashes.
Fast drive: required for the best performance Can be safely cleaned: No, you will lose all your annotations and projects.
logs
This subfolder is used by Vector logs parsing and transforming service (vector
Docker container). Vector dumps the logs into the logs
subfolder in Zstandard JSON lines format. Logs can be easily obtained by running the sudo supervisely troubleshoot
command.
By default we do not clean this folder automatically.
Fast drive: optional, doesn't affect the performance Can be safely cleaned: Yes
proxy_cache
This subfolder is used by Nginx to cache certain resources for fast access of frequently used assets, mainly small previews of images and video frames. The size of this folder can be configured via CACHE_STORAGE_SIZE
setting.
Fast drive: preferred, but not required Can be safely cleaned: Yes
rabbitmq
This subfolder is used by RabbitMQ message broker. This is a temporary storage to queue tasks. If you clean this folder, running tasks will be stopped an may end up in an invalid state
Fast drive: preferred, but not required Can be safely cleaned: Almost
redis & redis-json
This subfolder is used by Redis cache database. This is a storage for temporary data that is also available in the main database (PostgreSQL), but is duplicated for fast access. For example, users' online status is cached there. If you clean this folder, some minor information such as real-time logs can be lost
Fast drive: optional, doesn't affect the performance Can be safely cleaned: Almost
storage
This subfolder is used by various services to store permanent files, such as images and other assets.
Some of the examples:
Images
Videos
Point cloud files
Model checkpoints
Application posters
Jupyter notebooks
Task data
Usually, we generate a unique file name or use file hash instead of the original file name.
You can configure Supervisely to use remote storage, such as S3, instead of this folder. In this case this folder will be empty, and actual files will be stored as blob objects in the selected cloud.
You will find two subfolders, *-public
and *-private
inside this folder. Those names do not reflect the actual privacy of folder contents; both folders are completely private and not publicly accessible; those names are legacy.
Fast drive: completely optional, required in very rare cases Can be safely cleaned: No, you will lose all your images, videos, and other assets.
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