Table of Contents
An object is binary data, such as images, audio files, spreadsheets, or even binary executable code. The term “Binary Large Object” or “blob” is sometimes associated to object storage, although blobs can be anywhere from a few bytes to several terabytes in size. Object Storage platforms like MinIO provide dedicated tools and capabilities for storing, listing, and retrieving objects using a standard S3-compatible API.
MinIO Object Storage uses buckets to organize objects.
A bucket is similar to a top-level drive, folder, or directory in a filesystem (
C:\), where each bucket can hold an arbitrary number of objects.
The structure of objects on the MinIO server might look similar to the following:
/ #root /images/ 2020-01-02-MinIO-Diagram.png 2020-01-03-MinIO-Advanced-Deployment.png MinIO-Logo.png /videos/ 2020-01-04-MinIO-Interview.mp4 /articles/ /john.doe/ 2020-01-02-MinIO-Object-Storage.md 2020-01-02-MinIO-Object-Storage-comments.json /jane.doe/ 2020-01-03-MinIO-Advanced-Deployment.png 2020-01-02-MinIO-Advanced-Deployment-comments.json 2020-01-04-MinIO-Interview.md
With the example structure, an administrator would create the
Client applications write objects to those buckets using the full “path” to that object, including all intermediate prefixes.
MinIO supports multiple levels of nested directories and objects using prefixes to support even the most dynamic object storage workloads.
MinIO automatically infers the intermediate prefixes, such as
/articles/john.doe from the full object path using
/ as a delimiter.
Clients and administrators should not create these prefixes manually.
Neither clients nor administrators would manually create the intermediate prefixes, as MinIO automatically infers them from the object name.
Object Organization and Planning
Administrators typically control the creation and configuration of buckets. Client applications can then use S3-compatible SDKs to create, list, retrieve, and delete objects on the MinIO deployment. Clients therefore drive the overall hierarchy of data within a given bucket or prefix, where Administrators can exercise control using policies to grant or deny access to an action or resource.
MinIO has no hard thresholds on the number of buckets, objects, or prefixes on a given deployment. The relative performance of the hardware and networking underlying the MinIO deployment may create a practical limit to the number of objects in a given prefix or bucket. Specifically, hardware using slower drives or network infrastructures tend to exhibit poor performance in buckets or prefixes with a flat hierarchy of objects.
Consider the following points as general guidance for client applications workload patterns:
Deployments with modest or budget-focused hardware should architect their workloads to target 10,000 objects per prefix as a baseline. Increase this target based on benchmarking and monitoring of real world workloads up to what the hardware can meaningfully handle.
Deployments with high-performance or enterprise-grade hardware can typically handle prefixes with millions of objects or more.
MinIO SUBNET Enterprise accounts can utilize yearly architecture reviews as part of the deployment and maintenance strategy to ensure long-term performance and success of your MinIO-dependent projects.
For a deeper discussion on the benefits of limiting prefix contents, see the article on optimizing S3 performance.
MinIO supports keeping multiple “versions” of an object in a single bucket.
The specific client behavior on write, list, get, or delete operations on a bucket depends on the versioning state of that bucket:
Versioning Disabled | Suspended
Create a new full version of the object as the “latest” and assign a unique version ID
Create the object with overwrite on namespace match.
Retrieve the latest version of the object by default
Supports retrieving retrieving any object version by version ID.
Retrieve the object
Retrieve the latest version of objects at the specified bucket or prefix
Supports retrieving all objects with their associated version ID.
Retrieve all objects at the specified bucket or prefix
Creates a 0-byte “Delete Marker” for the object as “latest” (soft delete)
Supports deleting any object version by version ID (hard delete). You cannot undo hard-delete operations.
Deletes the object
See Bucket Versioning for more complete documentation.
MinIO Object Locking (“Object Retention”) enforces Write-Once Read-Many (WORM) immutability to protect versioned objects from deletion. MinIO supports both duration based object retention and indefinite Legal Hold retention.
Delete operations against a WORM-locked object depend on the specific operation:
Delete operations which do not specify a version ID result in the creation of a “Delete Marker”
Delete operations which specify the version ID of a locked object result in a WORM locking error
You can only enable object locking when first creating a bucket. Enabling bucket locking also enables versioning.
MinIO Object Locking provides key data retention compliance and meets SEC17a-4(f), FINRA 4511(C), and CFTC 1.31(c)-(d) requirements as per Cohasset Associates.
See MinIO Object Locking for more complete documentation.
Object Lifecycle Management
MinIO Object Lifecycle Management allows creating rules for time or date based automatic transition or expiry of objects. For object transition, MinIO automatically moves the object to a configured remote storage tier. For object expiry, MinIO automatically deletes the object.
MinIO applies lifecycle management rules on versioned and unversioned buckets using the same behavior as normal client operations. You can specify transition or lifecycle rules that handle the latest object versions, non-current object versions, or both.
MinIO lifecycle management is built for behavior and syntax compatibility with AWS S3 Lifecycle Management. MinIO uses JSON to describe lifecycle management rules. Conversion to or from XML may be required for importing rules created on S3 or similar compatible platforms.
See Object Lifecycle Management for more complete documentation.